Sample records for jma issued tsunami

  1. Design and Implementation of a C++ Software Package to scan for and parse Tsunami Messages issued by the Tsunami Warning Centers for Operational use at the Pacific Tsunami Warning Center

    NASA Astrophysics Data System (ADS)

    Sardina, V.

    2012-12-01

    The US Tsunami Warning Centers (TWCs) have traditionally generated their tsunami message products primarily as blocks of text then tagged with headers that identify them on each particular communications' (comms) circuit. Each warning center has a primary area of responsibility (AOR) within which it has an authoritative role regarding parameters such as earthquake location and magnitude. This means that when a major tsunamigenic event occurs the other warning centers need to quickly access the earthquake parameters issued by the authoritative warning center before issuing their message products intended for customers in their own AOR. Thus, within the operational context of the TWCs the scientists on duty have an operational need to access the information contained in the message products issued by other warning centers as quickly as possible. As a solution to this operational problem we designed and implemented a C++ software package that allows scanning for and parsing the entire suite of tsunami message products issued by the Pacific Tsunami Warning Center (PTWC), the West Coast and Alaska Tsunami Warning Center (WCATWC), and the Japan Meteorological Agency (JMA). The scanning and parsing classes composing the resulting C++ software package allow parsing both non-official message products(observatory messages) routinely issued by the TWCs, and all official tsunami message products such as tsunami advisories, watches, and warnings. This software package currently allows scientists on duty at the PTWC to automatically retrieve the parameters contained in tsunami messages issued by WCATWC, JMA, or PTWC itself. Extension of the capabilities of the classes composing the software package would make it possible to generate XML and CAP compliant versions of the TWCs' message products until new messaging software natively adds this capabilities. Customers who receive the TWCs' tsunami message products could also use the package to automatically retrieve information from

  2. Early waning and evacuation from Tsunami, volcano, flood and other hazards

    NASA Astrophysics Data System (ADS)

    Sugimoto, M.

    2012-12-01

    In reconsideration of the great sacrifice among the people, evacuation calls for evacuation through Japan Meteorological Agency (JMA), local governments and Medias have been drastically changed after the 2011 Tohoku tsunami in Japan. One of example is that JMA changed from forecasted concrete figure of tsunami height to one of 3 levels of tsunami height. A data shows the border between life and death is just 2 minutes of earlier evacuation in case of the 2011 tsunami. It shows how importance for communities to prompt early evacuation for survivals. However, the 2011 Tohoku tsunami revealed there is no reliable trigger to prompt early evacuation to people in case of blackout under disasters, excluding effective education. The warning call was still complicated situations in Japan in July 2012. The 2012 Northern Kyusyu downpours was at worst around 110 millimeters an hour and casualties 30 in Japan. JMA learned from the last tsunami. In this time JMA informed to local governments as a waning call "Unexpected severe rains" to local governments. However, local governments did not notice the call from JMA in the same as usual informed way. One of the local government said "We were very busy for preparing for staffs. We looked at the necessary information of the water levels of rivers and flood prevention under emergent situation" (NHK 2012). This case shows JMA's evacuation calls from upstream to midstream of local government and downstream of communities started, however upstream calls have not engaged with midstream and communities yet. Calls of early warning from upstream is still a self-centered idea for both midstream and downstream. Finally JMA could not convey a crisis mentality to local government. The head of Oarai town independently decided to use the different warning call "Order townspersons to evacuate immediately" in Ibaraki prefecture, Japan from the other municipalities in 2011 though there was not such a manuals calls in Japan. This risk communication

  3. The Pacific Tsunami Warning Center's Response to the Tohoku Earthquake and Tsunami

    NASA Astrophysics Data System (ADS)

    Weinstein, S. A.; Becker, N. C.; Shiro, B.; Koyanagi, K. K.; Sardina, V.; Walsh, D.; Wang, D.; McCreery, C. S.; Fryer, G. J.; Cessaro, R. K.; Hirshorn, B. F.; Hsu, V.

    2011-12-01

    The largest Pacific basin earthquake in 47 years, and also the largest magnitude earthquake since the Sumatra 2004 earthquake, struck off of the east coast of the Tohoku region of Honshu, Japan at 5:46 UTC on 11 March 2011. The Tohoku earthquake (Mw 9.0) generated a massive tsunami with runups of up to 40m along the Tohoku coast. The tsunami waves crossed the Pacific Ocean causing significant damage as far away as Hawaii, California, and Chile, thereby becoming the largest, most destructive tsunami in the Pacific Basin since 1960. Triggers on the seismic stations at Erimo, Hokkaido (ERM) and Matsushiro, Honshu (MAJO), alerted Pacific Tsunami Warning Center (PTWC) scientists 90 seconds after the earthquake began. Four minutes after its origin, and about one minute after the earthquake's rupture ended, PTWC issued an observatory message reporting a preliminary magnitude of 7.5. Eight minutes after origin time, the Japan Meteorological Agency (JMA) issued its first international tsunami message in its capacity as the Northwest Pacific Tsunami Advisory Center. In accordance with international tsunami warning system protocols, PTWC then followed with its first international tsunami warning message using JMA's earthquake parameters, including an Mw of 7.8. Additional Mwp, mantle wave, and W-phase magnitude estimations based on the analysis of later-arriving seismic data at PTWC revealed that the earthquake magnitude reached at least 8.8, and that a destructive tsunami would likely be crossing the Pacific Ocean. The earthquake damaged the nearest coastal sea-level station located 90 km from the epicenter in Ofunato, Japan. The NOAA DART sensor situated 600 km off the coast of Sendai, Japan, at a depth of 5.6 km recorded a tsunami wave amplitude of nearly two meters, making it by far the largest tsunami wave ever recorded by a DART sensor. Thirty minutes later, a coastal sea-level station at Hanasaki, Japan, 600 km from the epicenter, recorded a tsunami wave amplitude of

  4. Performance of JMA Earthquake Early Warning for the 2011 off the Pacific coast of Tohoku Earthquake (Mw9.0)

    NASA Astrophysics Data System (ADS)

    Hoshiba, M.; Wakayama, A.; Ishigaki, Y.; Doi, K.

    2011-12-01

    This presentation outlines the Earthquake Early Warning of the Japan Meteorological Agency (JMA) for the 2011 off the Pacific coast of Tohoku Earthquake (Mw9.0). EEW has been operational nationwide in Japan by JMA since October, 2007. For JMA EEW, the hypocenter is determined by a combination of several techniques, using approximately 1,100 stations from the JMA network and the Hi-net network of NIED; magnitude is mainly from maximum displacement amplitudes. JMA EEWs are updated as available data increases with elapsed time. Accordingly EEWs are issued repeatedly with improving accuracy for a single earthquake. JMA EEWs are divided into two grades depending on the expected intensities. The JMA intensity scale is based on instrumental measurements in which not only the amplitude but also the frequency and duration of the shaking are considered. The 10-degree JMA intensity scale rounds off the instrumental intensity value to the integer. Intensities of 5 and 6 are divided into two degrees, namely 5-lower, 5-upper, 6-lower and 6-upper, respectively. Intensity 1 corresponds to ground motion that people can barely detect, and 7 is the upper limit. JMA EEWs are announced to general public when intensity 5-lower (or greater) is expected. The JMA EEW system was triggered for the Mw 9.0 earthquake when station OURI (138km from the epicenter) detected the initial P wave at 14:46:40.2 (Japan Standard Time). The first EEW, the first of 15 announcements, was issued 5.4 s later. The waveform started with small amplitude, which was comparable to noise level for displacement. The small amplitude does not indicate that the initial rupture of the Mw 9.0 event is large, and does not suggest a large magnitude event. By the fourth EEW, 8.6 s after the first trigger, the expected intensity exceeded the criteria of the warning to the general public. JMA issued the fourth EEW announcements to the general public of the Tohoku district, and then the warning was automatically broadcast

  5. Tsunami preparedness at the resort facilities along the coast of the Ryukyu Islands - their actions against the 27 February 2010 Okinawan and Chilean tsunami warning

    NASA Astrophysics Data System (ADS)

    Matsumoto, T.

    2010-12-01

    The economy (including tourism) in tropical and subtropical coastal areas, such as Okinawa Prefecture (Ryukyu) is highly relying on the sea. The sea has both “gentle” side to give people healing and “fierce” side to kill people. If we are going to utilise the sea for marine tourism such as constructing resort facilities on the oceanfront, we should know the whole nature of the sea, Tsunami is the typical case of the “fierce” side of the sea. We have already learned a lesson about this issue from the Sumatra tsunami in 2004. Early morning (5:31 am Japanese Standard Time = JST) on 27 February 2010, a M6.9 earthquake occurred near the coast of Okinawa Ryukyu Island Japan, and just after that Japanese Meteorological Agency (JMA) issued a tsunami warning along the coastal area of Okinawa Prefecture. About one hour later the tsunami warning was cancelled. The CMT solution of this earthquake was found to be strike-slip type with NE-SW P-axis. Therefore this did not induce a tsunami. However, in the afternoon on the same day (JST) a M8.6 earthquake occurred off the coast of Chile and soon after that a tsunami warning issued along the Pacific coastal area including Japan and Ryukyu Islands. Indeed maximum 1m tsunami hit the eastern coast of Okinawa Island on 28th February (Nakamura, 2010, personal communication). The author conducted a survey about the actions against the both tsunami after the 27 February tsunami warming to the major resort hotels along the coast of the Ryukyu Islands. A questionnaire was sent to about 20 hotels and 6 hotels replied to the questionnaire. Most of these hotels reported the regular training against tsunami attack, preparation of a disaster prevention manual, close communication with the local fire station authority, evacuation procedure towards high stories of the hotel building etc. It was “winter season” when the tsunami took place. However, if that were “summer season,” the other problem such as how they make the people

  6. Issues of tsunami hazard maps revealed by the 2011 Tohoku tsunami

    NASA Astrophysics Data System (ADS)

    Sugimoto, M.

    2013-12-01

    Tsunami scientists are imposed responsibilities of selection for people's tsunami evacuation place after the 2011 Tohoku Tsunami in Japan. A lot of matured people died out of tsunami hazard zone based on tsunami hazard map though students made a miracle by evacuation on their own judgment in Kamaishi city. Tsunami hazard maps were based on numerical model smaller than actual magnitude 9. How can we bridge the gap between hazard map and future disasters? We have to discuss about using tsunami numerical model better enough to contribute tsunami hazard map. How do we have to improve tsunami hazard map? Tsunami hazard map should be revised included possibility of upthrust or downthrust after earthquakes and social information. Ground sank 1.14m below sea level in Ayukawa town, Tohoku. Ministry of Land, Infrastructure, Transport and Tourism's research shows around 10% people know about tsunami hazard map in Japan. However, people know about their evacuation places (buildings) through experienced drills once a year even though most people did not know about tsunami hazard map. We need wider spread of tsunami hazard with contingency of science (See the botom disaster handbook material's URL). California Emergency Management Agency (CEMA) team practically shows one good practice and solution to me. I followed their field trip in Catalina Island, California in Sep 2011. A team members are multidisciplinary specialists: A geologist, a GIS specialist, oceanographers in USC (tsunami numerical modeler) and a private company, a local policeman, a disaster manager, a local authority and so on. They check field based on their own specialties. They conduct an on-the-spot inspection of ambiguous locations between tsunami numerical model and real field conditions today. The data always become older. They pay attention not only to topographical conditions but also to social conditions: vulnerable people, elementary schools and so on. It takes a long time to check such field

  7. Real Time Earthquake Information System in Japan

    NASA Astrophysics Data System (ADS)

    Doi, K.; Kato, T.

    2003-12-01

    An early earthquake notification system in Japan had been developed by the Japan Meteorological Agency (JMA) as a governmental organization responsible for issuing earthquake information and tsunami forecasts. The system was primarily developed for prompt provision of a tsunami forecast to the public with locating an earthquake and estimating its magnitude as quickly as possible. Years after, a system for a prompt provision of seismic intensity information as indices of degrees of disasters caused by strong ground motion was also developed so that concerned governmental organizations can decide whether it was necessary for them to launch emergency response or not. At present, JMA issues the following kinds of information successively when a large earthquake occurs. 1) Prompt report of occurrence of a large earthquake and major seismic intensities caused by the earthquake in about two minutes after the earthquake occurrence. 2) Tsunami forecast in around three minutes. 3) Information on expected arrival times and maximum heights of tsunami waves in around five minutes. 4) Information on a hypocenter and a magnitude of the earthquake, the seismic intensity at each observation station, the times of high tides in addition to the expected tsunami arrival times in 5-7 minutes. To issue information above, JMA has established; - An advanced nationwide seismic network with about 180 stations for seismic wave observation and about 3,400 stations for instrumental seismic intensity observation including about 2,800 seismic intensity stations maintained by local governments, - Data telemetry networks via landlines and partly via a satellite communication link, - Real-time data processing techniques, for example, the automatic calculation of earthquake location and magnitude, the database driven method for quantitative tsunami estimation, and - Dissemination networks, via computer-to-computer communications and facsimile through dedicated telephone lines. JMA operationally

  8. Geoethical issues involved in Tsunami Warning System concepts and operations

    NASA Astrophysics Data System (ADS)

    Charalampakis, Marinos; Papadopoulos, Gerassimos A.; Tinti, Stefano

    2016-04-01

    The main goal of a Tsunami Warning System (TWS) is to mitigate the effect of an incoming tsunami by alerting coastal population early enough to allow people to evacuate safely from inundation zones. Though this representation might seem oversimplified, nonetheless, achieving successfully this goal requires a positive synergy of geoscience, communication, emergency management, technology, education, social sciences, politics. Geoethical issues arise always when there is an interaction between geoscience and society, and TWS is a paradigmatic case where interaction is very strong and is made critical because a) the formulation of the tsunami alert has to be made in a time as short as possible and therefore on uncertain data, and b) any evaluation error (underestimation or overestimation) can lead to serious (and sometimes catastrophic) consequences involving wide areas and a large amount of population. From the geoethical point of view three issues are critical: how to (i) combine forecasts and uncertainties reasonably and usefully, (ii) cope and possibly solve the dilemma whether it is better over-alerting or under-alerting population and (iii) deal with responsibility and liability of geoscientists, TWS operators, emergency operators and coastal population. The discussion will be based on the experience of the Hellenic National Tsunami Warning Center (HL-NTWC, Greece), which operates on 24/7 basis as a special unit of the Institute of Geodynamics, National Observatory of Athens, and acts also as Candidate Tsunami Service Provider (CTSP) in the framework of the North-Eastern Atlantic, the Mediterranean and connected seas Tsunami Warning System (NEAMTWS) of the IOC/UNESCO. Since August 2012, when HL-NTWC was officially declared as operational, 14 tsunami warning messages have been disseminated to a large number of subscribers after strong submarine earthquakes occurring in Greece and elsewhere in the eastern Mediterranean. It is recognized that the alerting process

  9. Rapid assessment of tsunami impact from real-time seismology and geographic, historical other datasets using machine learning

    NASA Astrophysics Data System (ADS)

    Michelini, Alberto; Lomax, Anthony

    2017-04-01

    The impact of an earthquake, tsunami, volcanic eruption, severe weather or other natural disaster is related to: the intensity of the hazard; the vulnerability or exposure of the population, such as housing quality, infrastructure and proximity to a coastlines; and the capacity to resist and cope with the disaster. Rapid assessment by monitoring agencies of the impact of a natural event is fundamental for early warning and response. We previously* proposed the "tsunami importance" parameter, It, for characterizing the strength of a tsunami. This parameter combines 5 descriptive indices from the NOAA/WDC Historical Tsunami Database: 4 tsunami impact measures (deaths, injuries, damage, houses destroyed), and maximum water height. Accordingly, It = 2 corresponds approximately to the JMA threshold for issuing a ''Tsunami Warning'' whereas the largest or most devastating tsunamis typically have It = 10. Here we discuss extending this simple, 5-component parameter with additional impact-related measures from relevant databases (e.g., LandScan population density, major infrastructures) and historical / archaeological information, and measures that might be obtained in near-real-time (e.g., emergency services, news, social media). We combine these measures with seismological and other real-time observations as an ensemble of features within automated procedures to estimate impact and guide decision making. We examine using modern machine learning methodologies to train and calibrate the procedures, while working with high-dimensional feature space. * Lomax, A. and A. Michelini (2011), Tsunami early warning using earthquake rupture duration and P-wave dominant period: the importance of length and depth of faulting, Geophys. J. Int., 185, 283-291, doi: 10.1111/j.1365-246X.2010.04916.x

  10. Public-policy issues associated with the SAFRR Tsunami Scenario: Chapter M in The SAFRR (Science Application for Risk Reduction) Tsunami Scenario

    USGS Publications Warehouse

    Johnson, Laurie; Real, Chuck

    2013-01-01

    The SAFRR (Science Application for Risk Reduction) tsunami scenario simulates a tsunami generated by a hypothetical magnitude 9.1 earthquake that occurs offshore of the Alaska Peninsula (Kirby and others, 2013). In addition to the work performed by the authors on public-policy issues associated with the SAFRR tsunami scenario, this section of the scenario also reflects the policy discussions of the State of California’s Tsunami Policy Work Group, a voluntary advisory body formed in October 2011, which operates under the California Natural Resources Agency (CNRA), Department of Conservation, and is charged with identifying, evaluating, and making recommendations to resolve issues that are preventing full and effective implementation of tsunami hazard mitigation and risk reduction throughout California’s coastal communities. It also presents the analyses of plans and hazard policies of California’s coastal counties, incorporated cities, and major ports performed by the staff of the California Geological Survey (CGS) and Lauren Prehoda, Office of Environmental and Government Affairs, California Department of Conservation. It also draws on the policy framework and assessment prepared for the ARkStorm Pacific Coast winter storm and catastrophic flooding (Topping and others, 2010).

  11. Hazard Assessment and Early Warning of Tsunamis: Lessons from the 2011 Tohoku earthquake

    NASA Astrophysics Data System (ADS)

    Satake, K.

    2012-12-01

    The March 11, 2011 Tohoku earthquake (M 9.0) was the largest earthquake in Japanese history, and was the best recorded subduction-zone earthquakes in the world. In particular, various offshore geophysical observations revealed large horizontal and vertical seafloor movements, and the tsunami was recorded on high-quality, high-sampling gauges. Analysis of such tsunami waveforms shows a temporal and spatial slip distribution during the 2011 Tohoku earthquake. The fault rupture started near the hypocenter and propagated into both deep and shallow parts of the plate interface. Very large, ~25 m, slip off Miyagi on the deep part of plate interface corresponds to an interplate earthquake of M 8.8, the location and size similar to 869 Jogan earthquake model, and was responsible for the large tsunami inundation in Sendai and Ishinomaki plains. Huge slip, more than 50 m, occurred on the shallow part near the trench axis ~3 min after the earthquake origin time. This delayed shallow rupture (M 8.8) was similar to the 1896 "tsunami earthquake," and was responsible for the large tsunami on the northern Sanriku coast, measured at ~100 km north of the largest slip. Thus the Tohoku earthquake can be decomposed into an interplate earthquake and the triggered "tsunami earthquake." The Japan Meteorological Agency issued tsunami warning 3 minutes after the earthquake, and saved many lives. However, their initial estimation of tsunami height was underestimated, because the earthquake magnitude was initially estimated as M 7.9, hence the computed tsunami heights were lower. The JMA attempts to improve the tsunami warning system, including technical developments to estimate the earthquake size in a few minutes by using various and redundant information, to deploy and utilize the offshore tsunami observations, and to issue a warning based on the worst case scenario if a possibility of giant earthquake exists. Predicting a trigger of another large earthquake would still be a challenge

  12. Improving tsunami resiliency: California's Tsunami Policy Working Group

    USGS Publications Warehouse

    Real, Charles R.; Johnson, Laurie; Jones, Lucile M.; Ross, Stephanie L.; Kontar, Y.A.; Santiago-Fandiño, V.; Takahashi, T.

    2014-01-01

    California has established a Tsunami Policy Working Group to facilitate development of policy recommendations for tsunami hazard mitigation. The Tsunami Policy Working Group brings together government and industry specialists from diverse fields including tsunami, seismic, and flood hazards, local and regional planning, structural engineering, natural hazard policy, and coastal engineering. The group is acting on findings from two parallel efforts: The USGS SAFRR Tsunami Scenario project, a comprehensive impact analysis of a large credible tsunami originating from an M 9.1 earthquake in the Aleutian Islands Subduction Zone striking California’s coastline, and the State’s Tsunami Preparedness and Hazard Mitigation Program. The unique dual-track approach provides a comprehensive assessment of vulnerability and risk within which the policy group can identify gaps and issues in current tsunami hazard mitigation and risk reduction, make recommendations that will help eliminate these impediments, and provide advice that will assist development and implementation of effective tsunami hazard risk communication products to improve community resiliency.

  13. Tsunami Source Modeling of the 2015 Volcanic Tsunami Earthquake near Torishima, South of Japan

    NASA Astrophysics Data System (ADS)

    Sandanbata, O.; Watada, S.; Satake, K.; Fukao, Y.; Sugioka, H.; Ito, A.; Shiobara, H.

    2017-12-01

    An abnormal earthquake occurred at a submarine volcano named Smith Caldera, near Torishima Island on the Izu-Bonin arc, on May 2, 2015. The earthquake, which hereafter we call "the 2015 Torishima earthquake," has a CLVD-type focal mechanism with a moderate seismic magnitude (M5.7) but generated larger tsunami waves with an observed maximum height of 50 cm at Hachijo Island [JMA, 2015], so that the earthquake can be regarded as a "tsunami earthquake." In the region, similar tsunami earthquakes were observed in 1984, 1996 and 2006, but their physical mechanisms are still not well understood. Tsunami waves generated by the 2015 earthquake were recorded by an array of ocean bottom pressure (OBP) gauges, 100 km northeastern away from the epicenter. The waves initiated with a small downward signal of 0.1 cm and reached peak amplitude (1.5-2.0 cm) of leading upward signals followed by continuous oscillations [Fukao et al., 2016]. For modeling its tsunami source, or sea-surface displacement, we perform tsunami waveform simulations, and compare synthetic and observed waveforms at the OBP gauges. The linear Boussinesq equations are adapted with the tsunami simulation code, JAGURS [Baba et al., 2015]. We first assume a Gaussian-shaped sea-surface uplift of 1.0 m with a source size comparable to Smith Caldera, 6-7 km in diameter. By shifting source location around the caldera, we found the uplift is probably located within the caldera rim, as suggested by Sandanbata et al. [2016]. However, synthetic waves show no initial downward signal that was observed at the OBP gauges. Hence, we add a ring of subsidence surrounding the main uplift, and examine sizes and amplitudes of the main uplift and the subsidence ring. As a result, the model of a main uplift of around 1.0 m with a radius of 4 km surrounded by a ring of small subsidence shows good agreement of synthetic and observed waveforms. The results yield two implications for the deformation process that help us to understanding

  14. Japan Meteorological Agency/Meteorological Research Institute-Coupled Prediction System version 1 (JMA/MRI-CPS1) for operational seasonal forecasting

    NASA Astrophysics Data System (ADS)

    Takaya, Yuhei; Yasuda, Tamaki; Fujii, Yosuke; Matsumoto, Satoshi; Soga, Taizo; Mori, Hirotoshi; Hirai, Masayuki; Ishikawa, Ichiro; Sato, Hitoshi; Shimpo, Akihiko; Kamachi, Masafumi; Ose, Tomoaki

    2017-01-01

    This paper describes the operational seasonal prediction system of the Japan Meteorological Agency (JMA), the Japan Meteorological Agency/Meteorological Research Institute-Coupled Prediction System version 1 (JMA/MRI-CPS1), which was in operation at JMA during the period between February 2010 and May 2015. The predictive skill of the system was assessed with a set of retrospective seasonal predictions (reforecasts) covering 30 years (1981-2010). JMA/MRI-CPS1 showed reasonable predictive skill for the El Niño-Southern Oscillation, comparable to the skills of other state-of-the-art systems. The one-tiered approach adopted in JMA/MRI-CPS1 improved its overall predictive skills for atmospheric predictions over those of the two-tiered approach of the previous uncoupled system. For 3-month predictions with a 1-month lead, JMA/MRI-CPS1 showed statistically significant skills in predicting 500-hPa geopotential height and 2-m temperature in East Asia in most seasons; thus, it is capable of providing skillful seasonal predictions for that region. Furthermore, JMA/MRI-CPS1 was superior overall to the previous system for atmospheric predictions with longer (4-month) lead times. In particular, JMA/MRI-CPS1 was much better able to predict the Asian Summer Monsoon than the previous two-tiered system. This enhanced performance was attributed to the system's ability to represent atmosphere-ocean coupled variability over the Indian Ocean and the western North Pacific from boreal winter to summer following winter El Niño events, which in turn influences the East Asian summer climate through the Pacific-Japan teleconnection pattern. These substantial improvements obtained by using an atmosphere-ocean coupled general circulation model underpin its success in providing more skillful seasonal forecasts on an operational basis.

  15. Issues and Advances in Understanding Landslide-Generated Tsunamis: Toward a Unified Model

    NASA Astrophysics Data System (ADS)

    Geist, E. L.; Locat, J.; Lee, H. J.; Lynett, P. J.; Parsons, T.; Kayen, R. E.; Hart, P. E.

    2008-12-01

    The physics of tsunamis generated from submarine landslides is highly complex, involving a cross- disciplinary exchange in geophysics. In the 10 years following the devastating Papua New Guinea tsunami, there have been significant advances in understanding landslide-generated tsunamis. However, persistent issues still remain related to submarine landslide dynamics that may be addressed with collection of new marine geologic and geophysical observations. We review critical elements of landslide tsunamis in the hope of developing a unified model that encompasses all stages of the process from triggering to tsunami runup. Because the majority of non-volcanogenic landslides that generate tsunamis are triggered seismically, advances in understanding inertial displacements and changes in strength and rheologic properties in response to strong-ground motion need to be included in a unified model. For example, interaction between compliant marine sediments and multi-direction ground motion results in greater permanent plastic displacements than predicted by traditional rigid-block analysis. When considering the coupling of the overlying water layer in the generation of tsunamis, the post-failure dynamics of landslides is important since the overall rate of seafloor deformation for landslides is less than or comparable to the phase speed of tsunami waves. As such, the rheologic and mechanical behavior of the slide material needs to be well understood. For clayey and silty debris flows, a non-linear (Herschel-Bulkley) and bilinear rheology have recently been developed to explain observed runout distances and deposit thicknesses. An additional complexity to this rheology is the inclusion of hydrate-laden sediment that commonly occurs along continental slopes. Although it has been proposed in the past that gas hydrate dissociation may provide potential failure planes for slide movement, it is unclear how zones of rigid hydrate-bearing sediment surrounded by a more viscoplastic

  16. Real-time determination of the worst tsunami scenario based on Earthquake Early Warning

    NASA Astrophysics Data System (ADS)

    Furuya, Takashi; Koshimura, Shunichi; Hino, Ryota; Ohta, Yusaku; Inoue, Takuya

    2016-04-01

    In recent years, real-time tsunami inundation forecasting has been developed with the advances of dense seismic monitoring, GPS Earth observation, offshore tsunami observation networks, and high-performance computing infrastructure (Koshimura et al., 2014). Several uncertainties are involved in tsunami inundation modeling and it is believed that tsunami generation model is one of the great uncertain sources. Uncertain tsunami source model has risk to underestimate tsunami height, extent of inundation zone, and damage. Tsunami source inversion using observed seismic, geodetic and tsunami data is the most effective to avoid underestimation of tsunami, but needs to expect more time to acquire the observed data and this limitation makes difficult to terminate real-time tsunami inundation forecasting within sufficient time. Not waiting for the precise tsunami observation information, but from disaster management point of view, we aim to determine the worst tsunami source scenario, for the use of real-time tsunami inundation forecasting and mapping, using the seismic information of Earthquake Early Warning (EEW) that can be obtained immediately after the event triggered. After an earthquake occurs, JMA's EEW estimates magnitude and hypocenter. With the constraints of earthquake magnitude, hypocenter and scaling law, we determine possible multi tsunami source scenarios and start searching the worst one by the superposition of pre-computed tsunami Green's functions, i.e. time series of tsunami height at offshore points corresponding to 2-dimensional Gaussian unit source, e.g. Tsushima et al., 2014. Scenario analysis of our method consists of following 2 steps. (1) Searching the worst scenario range by calculating 90 scenarios with various strike and fault-position. From maximum tsunami height of 90 scenarios, we determine a narrower strike range which causes high tsunami height in the area of concern. (2) Calculating 900 scenarios that have different strike, dip, length

  17. Perceptions of earthquake and tsunami issues in U.S. Pacific Northwest port and harbor communities

    USGS Publications Warehouse

    Wood, Nathan J.; Good, James W.

    2005-01-01

    Although there is considerable energy focused on assessing natural hazards associated with earthquakes and tsunamis in the U.S. Pacific Northwest, little has been done to understand societal vulnerability to these hazards. Part of understanding societal vulnerability includes assessing the perceptions and priorities of public sector individuals with traditional emergency management responsibilities and of private citizens who could play key roles in community recovery. In response to this knowledge gap, we examine earthquake and tsunami perceptions of stakeholders and decision makers from coastal communities in the U.S. Pacific Northwest, focusing on perceptions of (1) regional hazards and societal vulnerability, (2) the current state of readiness, and (3) priorities for future hazard adjustment efforts. Results of a mailed survey suggest that survey participants believe that earthquakes and tsunamis are credible community threats. Most communities are focusing on regional mitigation and response planning, with less effort devoted to recovery plans or to making individual organizations more resilient. Significant differences in expressed perceptions and priorities were observed between Oregon and Washington respondents, mainly on tsunami issues. Significant perception differences were also observed between private and public sector respondents. Our results suggest the need for further research and for outreach and planning initiatives in the Pacific Northwest to address significant gaps in earthquake and tsunami hazard awareness and readiness.

  18. Introduction to "Tsunami Science: Ten Years After the 2004 Indian Ocean Tsunami. Volume I"

    NASA Astrophysics Data System (ADS)

    Rabinovich, Alexander B.; Geist, Eric L.; Fritz, Hermann M.; Borrero, Jose C.

    2015-03-01

    Twenty-two papers on the study of tsunamis are included in Volume I of the PAGEOPH topical issue "Tsunami Science: Ten Years after the 2004 Indian Ocean Tsunami." Eight papers examine various aspects of past events with an emphasis on case and regional studies. Five papers are on tsunami warning and forecast, including the improvement of existing tsunami warning systems and the development of new warning systems in the northeast Atlantic and Mediterranean region. Three more papers present the results of analytical studies and discuss benchmark problems. Four papers report the impacts of tsunamis, including the detailed calculation of inundation onshore and into rivers and probabilistic analysis for engineering purposes. The final two papers relate to important investigations of the source and tsunami generation. Overall, the volume not only addresses the pivotal 2004 Indian Ocean (Sumatra) and 2011 Japan (Tohoku) tsunamis, but also examines the tsunami hazard posed to other critical coasts in the world.

  19. Tsunami Risk Management in Pacific Island Countries and Territories (PICTs): Some Issues, Challenges and Ways Forward

    NASA Astrophysics Data System (ADS)

    Dominey-Howes, Dale; Goff, James

    2013-09-01

    The Pacific is well known for producing tsunamis, and events such as the 2011 Tōhoku-oki, Japan disaster demonstrate the vulnerability of coastal communities. We review what is known about the current state of tsunami risk management for Pacific Island countries and territories (PICTs), identify the issues and challenges associated with affecting meaningful tsunami disaster risk reduction (DRR) efforts and outline strategies and possible ways forward. Small island states are scattered across the vast Pacific region and these states have to varying degrees been affected by not only large tsunamis originating in circum-Pacific subduction zones, but also more regionally devastating events. Having outlined and described what is meant by the risk management process, the various problems associated with our current understanding of this process are examined. The poorly understood hazard related to local, regional and distant sources is investigated and the dominant focus on seismic events at the expense of other tsunami source types is noted. We reflect on the challenges of undertaking numerical modelling from generation to inundation and specifically detail the problems as they relate to PICTs. This is followed by an exploration of the challenges associated with mapping exposure and estimating vulnerability in low-lying coastal areas. The latter part of the paper is devoted to exploring what mitigation of the tsunami risk can look like and draw upon good practice cases as exemplars of the actions that can be taken from the local to regional level. Importantly, given the diversity of PICTs, no one approach will suit all places. The paper closes by making a series of recommendations to assist PICTs and the wider tsunami research community in thinking through improvements to their tsunami risk management processes and the research that can underpin these efforts.

  20. Tsunami Hockey

    NASA Astrophysics Data System (ADS)

    Weinstein, S.; Becker, N. C.; Wang, D.; Fryer, G. J.

    2013-12-01

    An important issue that vexes tsunami warning centers (TWCs) is when to cancel a tsunami warning once it is in effect. Emergency managers often face a variety of pressures to allow the public to resume their normal activities, but allowing coastal populations to return too quickly can put them at risk. A TWC must, therefore, exercise caution when cancelling a warning. Kim and Whitmore (2013) show that in many cases a TWC can use the decay of tsunami oscillations in a harbor to forecast when its amplitudes will fall to safe levels. This technique should prove reasonably robust for local tsunamis (those that are potentially dangerous within only 100 km of their source region) and for regional tsunamis (whose danger is limited to within 1000km of the source region) as well. For ocean-crossing destructive tsunamis such as the 11 March 2011 Tohoku tsunami, however, this technique may be inadequate. When a tsunami propagates across the ocean basin, it will encounter topographic obstacles such as seamount chains or coastlines, resulting in coherent reflections that can propagate great distances. When these reflections reach previously-impacted coastlines, they can recharge decaying tsunami oscillations and make them hazardous again. Warning center scientists should forecast sea-level records for 24 hours beyond the initial tsunami arrival in order to observe any potential reflections that may pose a hazard. Animations are a convenient way to visualize reflections and gain a broad geographic overview of their impacts. The Pacific Tsunami Warning Center has developed tools based on tsunami simulations using the RIFT tsunami forecast model. RIFT is a linear, parallelized numerical tsunami propagation model that runs very efficiently on a multi-CPU system (Wang et al, 2012). It can simulate 30-hours of tsunami wave propagation in the Pacific Ocean at 4 arc minute resolution in approximately 6 minutes of real time on a 12-CPU system. Constructing a 30-hour animation using 1

  1. Anatomy of Historical Tsunamis: Lessons Learned for Tsunami Warning

    NASA Astrophysics Data System (ADS)

    Igarashi, Y.; Kong, L.; Yamamoto, M.; McCreery, C. S.

    2011-11-01

    Tsunamis are high-impact disasters that can cause death and destruction locally within a few minutes of their occurrence and across oceans hours, even up to a day, afterward. Efforts to establish tsunami warning systems to protect life and property began in the Pacific after the 1946 Aleutian Islands tsunami caused casualties in Hawaii. Seismic and sea level data were used by a central control center to evaluate tsunamigenic potential and then issue alerts and warnings. The ensuing events of 1952, 1957, and 1960 tested the new system, which continued to expand and evolve from a United States system to an international system in 1965. The Tsunami Warning System in the Pacific (ITSU) steadily improved through the decades as more stations became available in real and near-real time through better communications technology and greater bandwidth. New analysis techniques, coupled with more data of higher quality, resulted in better detection, greater solution accuracy, and more reliable warnings, but limitations still exist in constraining the source and in accurately predicting propagation of the wave from source to shore. Tsunami event data collected over the last two decades through international tsunami science surveys have led to more realistic models for source generation and inundation, and within the warning centers, real-time tsunami wave forecasting will become a reality in the near future. The tsunami warning system is an international cooperative effort amongst countries supported by global and national monitoring networks and dedicated tsunami warning centers; the research community has contributed to the system by advancing and improving its analysis tools. Lessons learned from the earliest tsunamis provided the backbone for the present system, but despite 45 years of experience, the 2004 Indian Ocean tsunami reminded us that tsunamis strike and kill everywhere, not just in the Pacific. Today, a global intergovernmental tsunami warning system is coordinated

  2. Floods and tsunamis.

    PubMed

    Llewellyn, Mark

    2006-06-01

    Floods and tsunamis cause few severe injuries, but those injuries can overwhelm local areas, depending on the magnitude of the disaster. Most injuries are extremity fractures, lacerations, and sprains. Because of the mechanism of soft tissue and bone injuries, infection is a significant risk. Aspiration pneumonias are also associated with tsunamis. Appropriate precautionary interventions prevent communicable dis-ease outbreaks. Psychosocial health issues must be considered.

  3. Analysis of Tsunami Evacuation Issues Using Agent Based Modeling. A Case Study of the 2011 Tohoku Tsunami in Yuriage, Natori.

    NASA Astrophysics Data System (ADS)

    Mas, E.; Takagi, H.; Adriano, B.; Hayashi, S.; Koshimura, S.

    2014-12-01

    The 2011 Great East Japan earthquake and tsunami reminded that nature can exceed structural countermeasures like seawalls, breakwaters or tsunami gates. In such situations it is a challenging task for people to find nearby haven. This event, as many others before, confirmed the importance of early evacuation, tsunami awareness and the need for developing much more resilient communities with effective evacuation plans. To support reconstruction activities and efforts on developing resilient communities in areas at risk, tsunami evacuation simulation can be applied to tsunami mitigation and evacuation planning. In this study, using the compiled information related to the evacuation behavior at Yuriage in Natori during the 2011 tsunami, we simulated the evacuation process and explored the reasons for the large number of fatalities in the area. It was found that residents did evacuate to nearby shelter areas, however after the tsunami warning was increased some evacuees decided to conduct a second step evacuation to a far inland shelter. Simulation results show the consequences of such decision and the outcomes when a second evacuation would not have been performed. The actual reported number of fatalities in the event and the results from simulation are compared to verify the model. The case study shows the contribution of tsunami evacuation models as tools to be applied for the analysis of evacuees' decisions and the related outcomes. In addition, future evacuation plans and activities for reconstruction process and urban planning can be supported by the results provided from this kind of tsunami evacuation models.

  4. The First Real-Time Tsunami Animation

    NASA Astrophysics Data System (ADS)

    Becker, N. C.; Wang, D.; McCreery, C.; Weinstein, S.; Ward, B.

    2014-12-01

    For the first time a U.S. tsunami warning center created and issued a tsunami forecast model animation while the tsunami was still crossing an ocean. Pacific Tsunami Warning Center (PTWC) scientists had predicted they would have this ability (Becker et al., 2012) with their RIFT forecast model (Wang et al., 2009) by using rapidly-determined W-phase centroid-moment tensor earthquake focal mechanisms as tsunami sources in the RIFT model (Wang et al., 2012). PTWC then acquired its own YouTube channel in 2013 for its outreach efforts that showed animations of historic tsunamis (Becker et al., 2013), but could also be a platform for sharing future tsunami animations. The 8.2 Mw earthquake of 1 April 2014 prompted PTWC to issue official warnings for a dangerous tsunami in Chile, Peru and Ecuador. PTWC ended these warnings five hours later, then issued its new tsunami marine hazard product (i.e., no coastal evacuations) for the State of Hawaii. With the international warning canceled but with a domestic hazard still present PTWC generated a forecast model animation and uploaded it to its YouTube channel six hours before the arrival of the first waves in Hawaii. PTWC also gave copies of this animation to television reporters who in turn passed it on to their national broadcast networks. PTWC then created a version for NOAA's Science on a Sphere system so it could be shown on these exhibits as the tsunami was still crossing the Pacific Ocean. While it is difficult to determine how many people saw this animation since local, national, and international news networks showed it in their broadcasts, PTWC's YouTube channel provides some statistics. As of 1 August 2014 this animation has garnered more than 650,000 views. Previous animations, typically released during significant anniversaries, rarely get more than 10,000 views, and even then only when external websites share them. Clearly there is a high demand for a tsunami graphic that shows both the speed and the severity of a

  5. Automatic Hypocenter Determination Method in JMA Catalog and its Application

    NASA Astrophysics Data System (ADS)

    Tamaribuchi, K.

    2017-12-01

    The number of detectable earthquakes around Japan has increased by developing the high-sensitivity seismic observation network. After the 2011 Tohoku-oki earthquake, the number of detectable earthquakes have dramatically increased due to its aftershocks and induced earthquakes. This enormous number of earthquakes caused inability of manually determination of all the hypocenters. The Japan Meteorological Agency (JMA), which produces the earthquake catalog in Japan, has developed a new automatic hypocenter determination method and started its operation from April 1, 2016. This method (named PF method; Phase combination Forward search method) can determine the hypocenters of earthquakes that occur simultaneously by searching for the optimal combination of P- and S-wave arrival times and the maximum amplitudes using a Bayesian estimation technique. In the 2016 Kumamoto earthquake sequence, we successfully detected about 70,000 aftershocks automatically during the period from April 14 to the end of May, and this method contributed to the real-time monitoring of the seismic activity. Furthermore, this method can be also applied to the Earthquake Early Warning (EEW). Application of this method for EEW is called the IPF method and has been used as the hypocenter determination method of the EEW system in JMA from December 2016. By developing this method further, it is possible to contribute to not only speeding up the catalog production, but also improving reliability of the early warning.

  6. Tsunami simulation method initiated from waveforms observed by ocean bottom pressure sensors for real-time tsunami forecast; Applied for 2011 Tohoku Tsunami

    NASA Astrophysics Data System (ADS)

    Tanioka, Yuichiro

    2017-04-01

    After tsunami disaster due to the 2011 Tohoku-oki great earthquake, improvement of the tsunami forecast has been an urgent issue in Japan. National Institute of Disaster Prevention is installing a cable network system of earthquake and tsunami observation (S-NET) at the ocean bottom along the Japan and Kurile trench. This cable system includes 125 pressure sensors (tsunami meters) which are separated by 30 km. Along the Nankai trough, JAMSTEC already installed and operated the cable network system of seismometers and pressure sensors (DONET and DONET2). Those systems are the most dense observation network systems on top of source areas of great underthrust earthquakes in the world. Real-time tsunami forecast has depended on estimation of earthquake parameters, such as epicenter, depth, and magnitude of earthquakes. Recently, tsunami forecast method has been developed using the estimation of tsunami source from tsunami waveforms observed at the ocean bottom pressure sensors. However, when we have many pressure sensors separated by 30km on top of the source area, we do not need to estimate the tsunami source or earthquake source to compute tsunami. Instead, we can initiate a tsunami simulation from those dense tsunami observed data. Observed tsunami height differences with a time interval at the ocean bottom pressure sensors separated by 30 km were used to estimate tsunami height distribution at a particular time. In our new method, tsunami numerical simulation was initiated from those estimated tsunami height distribution. In this paper, the above method is improved and applied for the tsunami generated by the 2011 Tohoku-oki great earthquake. Tsunami source model of the 2011 Tohoku-oki great earthquake estimated using observed tsunami waveforms, coseimic deformation observed by GPS and ocean bottom sensors by Gusman et al. (2012) is used in this study. The ocean surface deformation is computed from the source model and used as an initial condition of tsunami

  7. SAFRR Tsunami Scenarios and USGS-NTHMP Collaboration

    NASA Astrophysics Data System (ADS)

    Ross, S.; Wood, N. J.; Cox, D. A.; Jones, L.; Cheung, K. F.; Chock, G.; Gately, K.; Jones, J. L.; Lynett, P. J.; Miller, K.; Nicolsky, D.; Richards, K.; Wein, A. M.; Wilson, R. I.

    2015-12-01

    Hazard scenarios provide emergency managers and others with information to help them prepare for future disasters. The SAFRR Tsunami Scenario, published in 2013, modeled a hypothetical but plausible tsunami, created by an Mw9.1 earthquake occurring offshore from the Alaskan peninsula, and its impacts on the California coast. It presented the modeled inundation areas, current velocities in key ports and harbors, physical damage and repair costs, economic consequences, environmental impacts, social vulnerability, emergency management, and policy implications for California associated with the scenario tsunami. The intended users were those responsible for making mitigation decisions before and those who need to make rapid decisions during future tsunamis. It provided the basis for many exercises involving, among others, NOAA, the State of Washington, several counties in California, and the National Institutes of Health. The scenario led to improvements in the warning protocol for southern California and highlighted issues that led to ongoing work on harbor and marina safety. Building on the lessons learned in the SAFRR Tsunami Scenario, another tsunami scenario is being developed with impacts to Hawaii and to the source region in Alaska, focusing on the evacuation issues of remote communities with primarily shore parallel roads, and also on the effects of port closures. Community exposure studies in Hawaii (Ratliff et al., USGS-SIR, 2015) provided background for selecting these foci. One complicated and important aspect of any hazard scenario is defining the source event. The USGS is building collaborations with the National Tsunami Hazard Mitigation Program (NTHMP) to consider issues involved in developing a standardized set of tsunami sources to support hazard mitigation work. Other key USGS-NTHMP collaborations involve population vulnerability and evacuation modeling.

  8. Post Fukushima tsunami simulations for Malaysian coasts

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Koh, Hock Lye, E-mail: kohhl@ucsiuniversity.edu.my; Teh, Su Yean, E-mail: syteh@usm.my; Abas, Mohd Rosaidi Che

    The recent recurrences of mega tsunamis in the Asian region have rekindled concern regarding potential tsunamis that could inflict severe damage to affected coastal facilities and communities. The 11 March 2011 Fukushima tsunami that crippled nuclear power plants in Northern Japan has further raised the level of caution. The recent discovery of petroleum reserves in the coastal water surrounding Malaysia further ignites the concern regarding tsunami hazards to petroleum facilities located along affected coasts. Working in a group, federal government agencies seek to understand the dynamics of tsunami and their impacts under the coordination of the Malaysian National Centre formore » Tsunami Research, Malaysian Meteorological Department. Knowledge regarding the generation, propagation and runup of tsunami would provide the scientific basis to address safety issues. An in-house tsunami simulation models known as TUNA has been developed by the authors to assess tsunami hazards along affected beaches so that mitigation measures could be put in place. Capacity building on tsunami simulation plays a critical role in the development of tsunami resilience. This paper aims to first provide a simple introduction to tsunami simulation towards the achievement of tsunami simulation capacity building. The paper will also present several scenarios of tsunami dangers along affected Malaysia coastal regions via TUNA simulations to highlight tsunami threats. The choice of tsunami generation parameters reflects the concern following the Fukushima tsunami.« less

  9. Introduction to "Global Tsunami Science: Past and Future, Volume II"

    NASA Astrophysics Data System (ADS)

    Rabinovich, Alexander B.; Fritz, Hermann M.; Tanioka, Yuichiro; Geist, Eric L.

    2017-08-01

    Twenty-two papers on the study of tsunamis are included in Volume II of the PAGEOPH topical issue "Global Tsunami Science: Past and Future". Volume I of this topical issue was published as PAGEOPH, vol. 173, No. 12, 2016 (Eds., E. L. Geist, H. M. Fritz, A. B. Rabinovich, and Y. Tanioka). Three papers in Volume II focus on details of the 2011 and 2016 tsunami-generating earthquakes offshore of Tohoku, Japan. The next six papers describe important case studies and observations of recent and historical events. Four papers related to tsunami hazard assessment are followed by three papers on tsunami hydrodynamics and numerical modelling. Three papers discuss problems of tsunami warning and real-time forecasting. The final set of three papers importantly investigates tsunamis generated by non-seismic sources: volcanic explosions, landslides, and meteorological disturbances. Collectively, this volume highlights contemporary trends in global tsunami research, both fundamental and applied toward hazard assessment and mitigation.

  10. Tsunami.gov: NOAA's Tsunami Information Portal

    NASA Astrophysics Data System (ADS)

    Shiro, B.; Carrick, J.; Hellman, S. B.; Bernard, M.; Dildine, W. P.

    2014-12-01

    We present the new Tsunami.gov website, which delivers a single authoritative source of tsunami information for the public and emergency management communities. The site efficiently merges information from NOAA's Tsunami Warning Centers (TWC's) by way of a comprehensive XML feed called Tsunami Event XML (TEX). The resulting unified view allows users to quickly see the latest tsunami alert status in geographic context without having to understand complex TWC areas of responsibility. The new site provides for the creation of a wide range of products beyond the traditional ASCII-based tsunami messages. The publication of modern formats such as Common Alerting Protocol (CAP) can drive geographically aware emergency alert systems like FEMA's Integrated Public Alert and Warning System (IPAWS). Supported are other popular information delivery systems, including email, text messaging, and social media updates. The Tsunami.gov portal allows NOAA staff to easily edit content and provides the facility for users to customize their viewing experience. In addition to access by the public, emergency managers and government officials may be offered the capability to log into the portal for special access rights to decision-making and administrative resources relevant to their respective tsunami warning systems. The site follows modern HTML5 responsive design practices for optimized use on mobile as well as non-mobile platforms. It meets all federal security and accessibility standards. Moving forward, we hope to expand Tsunami.gov to encompass tsunami-related content currently offered on separate websites, including the NOAA Tsunami Website, National Tsunami Hazard Mitigation Program, NOAA Center for Tsunami Research, National Geophysical Data Center's Tsunami Database, and National Data Buoy Center's DART Program. This project is part of the larger Tsunami Information Technology Modernization Project, which is consolidating the software architectures of NOAA's existing TWC's into

  11. Tsunami Waves Joint Inversion Using Tsunami Inundation, Tsunami Deposits Distribution and Marine-Terrestrial Sediment Signal in Tsunami Deposit

    NASA Astrophysics Data System (ADS)

    Tang, H.; WANG, J.

    2017-12-01

    Population living close to coastlines is increasing, which creates higher risks due to coastal hazards, such as the tsunami. However, the generation of a tsunami is not fully understood yet, especially for paleo-tsunami. Tsunami deposits are one of the concrete evidence in the geological record which we can apply for studying paleo-tsunami. The understanding of tsunami deposits has significantly improved over the last decades. There are many inversion models (e.g. TsuSedMod, TSUFLIND, and TSUFLIND-EnKF) to study the overland-flow characteristics based on tsunami deposits. However, none of them tries to reconstruct offshore tsunami wave characteristics (wave form, wave height, and length) based on tsunami deposits. Here we present a state-of-the-art inverse approach to reconstruct offshore tsunami wave based on the tsunami inundation data, the spatial distribution of tsunami deposits and Marine-terrestrial sediment signal in the tsunami deposits. Ensemble Kalman Filter (EnKF) Method is used for assimilating both sediment transport simulations and the field observation data. While more computationally expensive, the EnKF approach potentially provides more accurate reconstructions for tsunami waveform. In addition to the improvement of inversion results, the ensemble-based method can also quantify the uncertainties of the results. Meanwhile, joint inversion improves the resolution of tsunami waves compared with inversions using any single data type. The method will be tested by field survey data and gauge data from the 2011 Tohoku tsunami on Sendai plain area.

  12. Public Perceptions of Tsunamis and the NOAA TsunamiReady Program in Los Angeles

    NASA Astrophysics Data System (ADS)

    Rosati, A.

    2010-12-01

    After the devastating December 2004 Indian Ocean Tsunami, California and other coastal states began installing "Tsunami Warning Zone" and "Evacuation Route" signs at beaches and major access roads. The geography of the Los Angeles area may not be conducive to signage alone for communication of the tsunami risk and safety precautions. Over a year after installation, most people surveyed did not know about or recognize the tsunami signs. More alarming is that many did not believe a tsunami could occur in the area even though earthquake generated waves have reached nearby beaches as recently as September 2009! UPDATE: FEB. 2010. Fifty two percent of the 147 people surveyed did not believe they would survive a natural disaster in Los Angeles. Given the unique geography of Los Angeles, how can the city and county improve the mental health of its citizens before and after a natural disaster? This poster begins to address the issues of community self-efficacy and resiliency in the face of tsunamis. Of note for future research, the data from this survey showed that most people believed climate change would increase the occurrence of tsunamis. Also, the public understanding of water inundation was disturbingly low. As scientists, it is important to understand the big picture of our research - how it is ultimately communicated, understood, and used by the public.

  13. The Japan Medical Association's disaster preparedness: lessons from the Great East Japan Earthquake and Tsunami.

    PubMed

    Ishii, Masami; Nagata, Takashi

    2013-10-01

    A complex disaster, the Great East Japan Earthquake of March 11, 2011, consisted of a large-scale earthquake, tsunami, and nuclear accident, resulting in more than 15 000 fatalities, injuries, and missing persons and damage over a 500-km area. The entire Japanese public was profoundly affected by "3/11." The risk of radiation exposure initially delayed the medical response, prolonging the recovery efforts. Japan's representative medical organization, the Japan Medical Association (JMA), began dispatching Japan Medical Association Teams (JMATs) to affected areas beginning March 15, 2011. About 1400 JMATs comprising nearly 5500 health workers were launched. The JMA coordinated JMAT operations and cooperated in conducting postmortem examination, transporting large quantities of medical supplies, and establishing a multiorganizational council to provide health assistance to disaster survivors. Importantly, these response efforts contributed to the complete recovery of the health care system in affected areas within 3 months, and by July 15, 2011, JMATs were withdrawn. Subsequently, JMATs II have been providing long-term continuing medical support to disaster-affected areas. However, Japan is at great risk for future natural disasters because of its Pacific Rim location. Also, its rapidly aging population, uneven distribution of and shortage of medical resources in regional communities, and an overburdened public health insurance system highlight the need for a highly prepared and effective disaster response system.

  14. Introduction to “Global tsunami science: Past and future, Volume II”

    USGS Publications Warehouse

    Rabinovich, Alexander B.; Fritz, Hermann M.; Tanioka, Yuichiro; Geist, Eric L.

    2017-01-01

    Twenty-two papers on the study of tsunamis are included in Volume II of the PAGEOPH topical issue “Global Tsunami Science: Past and Future”. Volume I of this topical issue was published as PAGEOPH, vol. 173, No. 12, 2016 (Eds., E. L. Geist, H. M. Fritz, A. B. Rabinovich, and Y. Tanioka). Three papers in Volume II focus on details of the 2011 and 2016 tsunami-generating earthquakes offshore of Tohoku, Japan. The next six papers describe important case studies and observations of recent and historical events. Four papers related to tsunami hazard assessment are followed by three papers on tsunami hydrodynamics and numerical modelling. Three papers discuss problems of tsunami warning and real-time forecasting. The final set of three papers importantly investigates tsunamis generated by non-seismic sources: volcanic explosions, landslides, and meteorological disturbances. Collectively, this volume highlights contemporary trends in global tsunami research, both fundamental and applied toward hazard assessment and mitigation.

  15. The Redwood Coast Tsunami Work Group: Promoting Earthquake and Tsunami Resilience on California's North Coast

    NASA Astrophysics Data System (ADS)

    Dengler, L. A.; Henderson, C.; Larkin, D.; Nicolini, T.; Ozaki, V.

    2014-12-01

    In historic times, Northern California has suffered the greatest losses from tsunamis in the U.S. contiguous 48 states. 39 tsunamis have been recorded in the region since 1933, including five that caused damage. This paper describes the Redwood Coast Tsunami Work Group (RCTWG), an organization formed in 1996 to address the tsunami threat from both near and far sources. It includes representatives from government agencies, public, private and volunteer organizations, academic institutions, and individuals interested in working to reduce tsunami risk. The geographic isolation and absence of scientific agencies such as the USGS and CGS in the region, and relatively frequent occurrence of both earthquakes and tsunami events has created a unique role for the RCTWG, with activities ranging from basic research to policy and education and outreach programs. Regional interest in tsunami issues began in the early 1990s when there was relatively little interest in tsunamis elsewhere in the state. As a result, the group pioneered tsunami messaging and outreach programs. Beginning in 2008, the RCTWG has partnered with the National Weather Service and the California Office of Emergency Services in conducting the annual "live code" tsunami communications tests, the only area outside of Alaska to do so. In 2009, the RCTWG joined with the Southern California Earthquake Alliance and the Bay Area Earthquake Alliance to form the Earthquake Country Alliance to promote a coordinated and consistent approach to both earthquake and tsunami preparedness throughout the state. The RCTWG has produced and promoted a variety of preparedness projects including hazard mapping and sign placement, an annual "Earthquake - Tsunami Room" at County Fairs, public service announcements and print material, assisting in TsunamiReady community recognition, and facilitating numerous multi-agency, multidiscipline coordinated exercises, and community evacuation drills. Nine assessment surveys from 1993 to 2013

  16. Introduction to "Global Tsunami Science: Past and Future, Volume III"

    NASA Astrophysics Data System (ADS)

    Rabinovich, Alexander B.; Fritz, Hermann M.; Tanioka, Yuichiro; Geist, Eric L.

    2018-04-01

    Twenty papers on the study of tsunamis are included in Volume III of the PAGEOPH topical issue "Global Tsunami Science: Past and Future". Volume I of this topical issue was published as PAGEOPH, vol. 173, No. 12, 2016 and Volume II as PAGEOPH, vol. 174, No. 8, 2017. Two papers in Volume III focus on specific details of the 2009 Samoa and the 1923 northern Kamchatka tsunamis; they are followed by three papers related to tsunami hazard assessment for three different regions of the world oceans: South Africa, Pacific coast of Mexico and the northwestern part of the Indian Ocean. The next six papers are on various aspects of tsunami hydrodynamics and numerical modelling, including tsunami edge waves, resonant behaviour of compressible water layer during tsunamigenic earthquakes, dispersive properties of seismic and volcanically generated tsunami waves, tsunami runup on a vertical wall and influence of earthquake rupture velocity on maximum tsunami runup. Four papers discuss problems of tsunami warning and real-time forecasting for Central America, the Mediterranean coast of France, the coast of Peru, and some general problems regarding the optimum use of the DART buoy network for effective real-time tsunami warning in the Pacific Ocean. Two papers describe historical and paleotsunami studies in the Russian Far East. The final set of three papers importantly investigates tsunamis generated by non-seismic sources: asteroid airburst and meteorological disturbances. Collectively, this volume highlights contemporary trends in global tsunami research, both fundamental and applied toward hazard assessment and mitigation.

  17. Real-time forecasting of the April 11, 2012 Sumatra tsunami

    USGS Publications Warehouse

    Wang, Dailin; Becker, Nathan C.; Walsh, David; Fryer, Gerard J.; Weinstein, Stuart A.; McCreery, Charles S.; ,

    2012-01-01

    The April 11, 2012, magnitude 8.6 earthquake off the northern coast of Sumatra generated a tsunami that was recorded at sea-level stations as far as 4800 km from the epicenter and at four ocean bottom pressure sensors (DARTs) in the Indian Ocean. The governments of India, Indonesia, Sri Lanka, Thailand, and Maldives issued tsunami warnings for their coastlines. The United States' Pacific Tsunami Warning Center (PTWC) issued an Indian Ocean-wide Tsunami Watch Bulletin in its role as an Interim Service Provider for the region. Using an experimental real-time tsunami forecast model (RIFT), PTWC produced a series of tsunami forecasts during the event that were based on rapidly derived earthquake parameters, including initial location and Mwp magnitude estimates and the W-phase centroid moment tensor solutions (W-phase CMTs) obtained at PTWC and at the U. S. Geological Survey (USGS). We discuss the real-time forecast methodology and how successive, real-time tsunami forecasts using the latest W-phase CMT solutions improved the accuracy of the forecast.

  18. Using GPS to Detect Imminent Tsunamis

    NASA Technical Reports Server (NTRS)

    Song, Y. Tony

    2009-01-01

    A promising method of detecting imminent tsunamis and estimating their destructive potential involves the use of Global Positioning System (GPS) data in addition to seismic data. Application of the method is expected to increase the reliability of global tsunami-warning systems, making it possible to save lives while reducing the incidence of false alarms. Tsunamis kill people every year. The 2004 Indian Ocean tsunami killed about 230,000 people. The magnitude of an earthquake is not always a reliable indication of the destructive potential of a tsunami. The 2004 Indian Ocean quake generated a huge tsunami, while the 2005 Nias (Indonesia) quake did not, even though both were initially estimated to be of the similar magnitude. Between 2005 and 2007, five false tsunami alarms were issued worldwide. Such alarms result in negative societal and economic effects. GPS stations can detect ground motions of earthquakes in real time, as frequently as every few seconds. In the present method, the epicenter of an earthquake is located by use of data from seismometers, then data from coastal GPS stations near the epicenter are used to infer sea-floor displacements that precede a tsunami. The displacement data are used in conjunction with local topographical data and an advanced theory to quantify the destructive potential of a tsunami on a new tsunami scale, based on the GPS-derived tsunami energy, much like the Richter Scale used for earthquakes. An important element of the derivation of the advanced theory was recognition that horizontal sea-floor motions contribute much more to generation of tsunamis than previously believed. The method produces a reliable estimate of the destructive potential of a tsunami within minutes typically, well before the tsunami reaches coastal areas. The viability of the method was demonstrated in computational tests in which the method yielded accurate representations of three historical tsunamis for which well-documented ground

  19. Introduction to "Tsunamis in the Pacific Ocean: 2011-2012"

    NASA Astrophysics Data System (ADS)

    Rabinovich, Alexander B.; Borrero, Jose C.; Fritz, Hermann M.

    2014-12-01

    With this volume of the Pure and Applied Geophysics (PAGEOPH) topical issue "Tsunamis in the Pacific Ocean: 2011-2012", we are pleased to present 21 new papers discussing tsunami events occurring in this two-year span. Owing to the profound impact resulting from the unique crossover of a natural and nuclear disaster, research into the 11 March 2011 Tohoku, Japan earthquake and tsunami continues; here we present 12 papers related to this event. Three papers report on detailed field survey results and updated analyses of the wave dynamics based on these surveys. Two papers explore the effects of the Tohoku tsunami on the coast of Russia. Three papers discuss the tsunami source mechanism, and four papers deal with tsunami hydrodynamics in the far field or over the wider Pacific basin. In addition, a series of five papers presents studies of four new tsunami and earthquake events occurring over this time period. This includes tsunamis in El Salvador, the Philippines, Japan and the west coast of British Columbia, Canada. Finally, we present four new papers on tsunami science, including discussions on tsunami event duration, tsunami wave amplitude, tsunami energy and tsunami recurrence.

  20. Tsunami disaster risk management capabilities in Greece

    NASA Astrophysics Data System (ADS)

    Marios Karagiannis, Georgios; Synolakis, Costas

    2015-04-01

    Greece is vulnerable to tsunamis, due to the length of the coastline, its islands and its geographical proximity to the Hellenic Arc, an active subduction zone. Historically, about 10% of all world tsunamis occur in the Mediterranean region. Here we review existing tsunami disaster risk management capabilities in Greece. We analyze capabilities across the disaster management continuum, including prevention, preparedness, response and recovery. Specifically, we focus on issues like legal requirements, stakeholders, hazard mitigation practices, emergency operations plans, public awareness and education, community-based approaches and early-warning systems. Our research is based on a review of existing literature and official documentation, on previous projects, as well as on interviews with civil protection officials in Greece. In terms of tsunami disaster prevention and hazard mitigation, the lack of tsunami inundation maps, except for some areas in Crete, makes it quite difficult to get public support for hazard mitigation practices. Urban and spatial planning tools in Greece allow the planner to take into account hazards and establish buffer zones near hazard areas. However, the application of such ordinances at the local and regional levels is often difficult. Eminent domain is not supported by law and there are no regulatory provisions regarding tax abatement as a disaster prevention tool. Building codes require buildings and other structures to withstand lateral dynamic earthquake loads, but there are no provisions for resistance to impact loading from water born debris Public education about tsunamis has increased during the last half-decade but remains sporadic. In terms of disaster preparedness, Greece does have a National Tsunami Warning Center (NTWC) and is a Member of UNESCO's Tsunami Program for North-eastern Atlantic, the Mediterranean and connected seas (NEAM) region. Several exercises have been organized in the framework of the NEAM Tsunami Warning

  1. The Global Tsunami Model (GTM)

    NASA Astrophysics Data System (ADS)

    Thio, H. K.; Løvholt, F.; Harbitz, C. B.; Polet, J.; Lorito, S.; Basili, R.; Volpe, M.; Romano, F.; Selva, J.; Piatanesi, A.; Davies, G.; Griffin, J.; Baptista, M. A.; Omira, R.; Babeyko, A. Y.; Power, W. L.; Salgado Gálvez, M.; Behrens, J.; Yalciner, A. C.; Kanoglu, U.; Pekcan, O.; Ross, S.; Parsons, T.; LeVeque, R. J.; Gonzalez, F. I.; Paris, R.; Shäfer, A.; Canals, M.; Fraser, S. A.; Wei, Y.; Weiss, R.; Zaniboni, F.; Papadopoulos, G. A.; Didenkulova, I.; Necmioglu, O.; Suppasri, A.; Lynett, P. J.; Mokhtari, M.; Sørensen, M.; von Hillebrandt-Andrade, C.; Aguirre Ayerbe, I.; Aniel-Quiroga, Í.; Guillas, S.; Macias, J.

    2016-12-01

    The large tsunami disasters of the last two decades have highlighted the need for a thorough understanding of the risk posed by relatively infrequent but disastrous tsunamis and the importance of a comprehensive and consistent methodology for quantifying the hazard. In the last few years, several methods for probabilistic tsunami hazard analysis have been developed and applied to different parts of the world. In an effort to coordinate and streamline these activities and make progress towards implementing the Sendai Framework of Disaster Risk Reduction (SFDRR) we have initiated a Global Tsunami Model (GTM) working group with the aim of i) enhancing our understanding of tsunami hazard and risk on a global scale and developing standards and guidelines for it, ii) providing a portfolio of validated tools for probabilistic tsunami hazard and risk assessment at a range of scales, and iii) developing a global tsunami hazard reference model. This GTM initiative has grown out of the tsunami component of the Global Assessment of Risk (GAR15), which has resulted in an initial global model of probabilistic tsunami hazard and risk. Started as an informal gathering of scientists interested in advancing tsunami hazard analysis, the GTM is currently in the process of being formalized through letters of interest from participating institutions. The initiative has now been endorsed by the United Nations International Strategy for Disaster Reduction (UNISDR) and the World Bank's Global Facility for Disaster Reduction and Recovery (GFDRR). We will provide an update on the state of the project and the overall technical framework, and discuss the technical issues that are currently being addressed, including earthquake source recurrence models, the use of aleatory variability and epistemic uncertainty, and preliminary results for a probabilistic global hazard assessment, which is an update of the model included in UNISDR GAR15.

  2. The Global Tsunami Model (GTM)

    NASA Astrophysics Data System (ADS)

    Lorito, S.; Basili, R.; Harbitz, C. B.; Løvholt, F.; Polet, J.; Thio, H. K.

    2017-12-01

    The tsunamis occurred worldwide in the last two decades have highlighted the need for a thorough understanding of the risk posed by relatively infrequent but often disastrous tsunamis and the importance of a comprehensive and consistent methodology for quantifying the hazard. In the last few years, several methods for probabilistic tsunami hazard analysis have been developed and applied to different parts of the world. In an effort to coordinate and streamline these activities and make progress towards implementing the Sendai Framework of Disaster Risk Reduction (SFDRR) we have initiated a Global Tsunami Model (GTM) working group with the aim of i) enhancing our understanding of tsunami hazard and risk on a global scale and developing standards and guidelines for it, ii) providing a portfolio of validated tools for probabilistic tsunami hazard and risk assessment at a range of scales, and iii) developing a global tsunami hazard reference model. This GTM initiative has grown out of the tsunami component of the Global Assessment of Risk (GAR15), which has resulted in an initial global model of probabilistic tsunami hazard and risk. Started as an informal gathering of scientists interested in advancing tsunami hazard analysis, the GTM is currently in the process of being formalized through letters of interest from participating institutions. The initiative has now been endorsed by the United Nations International Strategy for Disaster Reduction (UNISDR) and the World Bank's Global Facility for Disaster Reduction and Recovery (GFDRR). We will provide an update on the state of the project and the overall technical framework, and discuss the technical issues that are currently being addressed, including earthquake source recurrence models, the use of aleatory variability and epistemic uncertainty, and preliminary results for a probabilistic global hazard assessment, which is an update of the model included in UNISDR GAR15.

  3. The Global Tsunami Model (GTM)

    NASA Astrophysics Data System (ADS)

    Løvholt, Finn

    2017-04-01

    The large tsunami disasters of the last two decades have highlighted the need for a thorough understanding of the risk posed by relatively infrequent but disastrous tsunamis and the importance of a comprehensive and consistent methodology for quantifying the hazard. In the last few years, several methods for probabilistic tsunami hazard analysis have been developed and applied to different parts of the world. In an effort to coordinate and streamline these activities and make progress towards implementing the Sendai Framework of Disaster Risk Reduction (SFDRR) we have initiated a Global Tsunami Model (GTM) working group with the aim of i) enhancing our understanding of tsunami hazard and risk on a global scale and developing standards and guidelines for it, ii) providing a portfolio of validated tools for probabilistic tsunami hazard and risk assessment at a range of scales, and iii) developing a global tsunami hazard reference model. This GTM initiative has grown out of the tsunami component of the Global Assessment of Risk (GAR15), which has resulted in an initial global model of probabilistic tsunami hazard and risk. Started as an informal gathering of scientists interested in advancing tsunami hazard analysis, the GTM is currently in the process of being formalized through letters of interest from participating institutions. The initiative has now been endorsed by the United Nations International Strategy for Disaster Reduction (UNISDR) and the World Bank's Global Facility for Disaster Reduction and Recovery (GFDRR). We will provide an update on the state of the project and the overall technical framework, and discuss the technical issues that are currently being addressed, including earthquake source recurrence models, the use of aleatory variability and epistemic uncertainty, and preliminary results for a probabilistic global hazard assessment, which is an update of the model included in UNISDR GAR15.

  4. Introduction to "Global Tsunami Science: Past and Future, Volume I"

    NASA Astrophysics Data System (ADS)

    Geist, Eric L.; Fritz, Hermann M.; Rabinovich, Alexander B.; Tanioka, Yuichiro

    2016-12-01

    Twenty-five papers on the study of tsunamis are included in Volume I of the PAGEOPH topical issue "Global Tsunami Science: Past and Future". Six papers examine various aspects of tsunami probability and uncertainty analysis related to hazard assessment. Three papers relate to deterministic hazard and risk assessment. Five more papers present new methods for tsunami warning and detection. Six papers describe new methods for modeling tsunami hydrodynamics. Two papers investigate tsunamis generated by non-seismic sources: landslides and meteorological disturbances. The final three papers describe important case studies of recent and historical events. Collectively, this volume highlights contemporary trends in global tsunami research, both fundamental and applied toward hazard assessment and mitigation.

  5. Geoethics and decision science issues in Japan's disaster management system: case study in the 2011 Tohoku earthquake and tsunami

    NASA Astrophysics Data System (ADS)

    Sugimoto, Megumi

    2015-04-01

    The March 11, 2011 Tohoku earthquake and its tsunami killed 18,508 people, including the missing (National Police Agency report as of April 2014) and raise the Level 7 accident at TEPCO's Fukushima Dai-ichi nuclear power station in Japan. The problems revealed can be viewed as due to a combination of risk-management, risk-communication, and geoethics issues. Japan's preparations for earthquakes and tsunamis are based on the magnitude of the anticipated earthquake for each region. The government organization coordinating the estimation of anticipated earthquakes is the "Headquarters for Earthquake Research Promotion" (HERP), which is under the Ministry of Education, Culture, Sports, Science and Technology (MEXT). Japan's disaster mitigation system is depicted schematically as consisting of three layers: seismology, civil engineering, and disaster mitigation planning. This research explains students in geoscience should study geoethics as part of their education related Tohoku earthquake and the Level 7 accident at TEPCO's Fukushima Dai-ichi nuclear power station. Only when they become practicing professionals, they will be faced with real geoethical dilemmas. A crisis such as the 2011 earthquake, tsunami, and Fukushima Dai-ichi nuclear accident, will force many geoscientists to suddenly confront previously unanticipated geoethics and risk-communication issues. One hopes that previous training will help them to make appropriate decisions under stress. We name it "decision science".

  6. Introduction to “Global tsunami science: Past and future, Volume III”

    USGS Publications Warehouse

    Rabinovich, Alexander B.; Fritz, Hermann M.; Tanioka, Yuichiro; Geist, Eric L.

    2018-01-01

    Twenty papers on the study of tsunamis are included in Volume III of the PAGEOPH topical issue “Global Tsunami Science: Past and Future”. Volume I of this topical issue was published as PAGEOPH, vol. 173, No. 12, 2016 and Volume II as PAGEOPH, vol. 174, No. 8, 2017. Two papers in Volume III focus on specific details of the 2009 Samoa and the 1923 northern Kamchatka tsunamis; they are followed by three papers related to tsunami hazard assessment for three different regions of the world oceans: South Africa, Pacific coast of Mexico and the northwestern part of the Indian Ocean. The next six papers are on various aspects of tsunami hydrodynamics and numerical modelling, including tsunami edge waves, resonant behaviour of compressible water layer during tsunamigenic earthquakes, dispersive properties of seismic and volcanically generated tsunami waves, tsunami runup on a vertical wall and influence of earthquake rupture velocity on maximum tsunami runup. Four papers discuss problems of tsunami warning and real-time forecasting for Central America, the Mediterranean coast of France, the coast of Peru, and some general problems regarding the optimum use of the DART buoy network for effective real-time tsunami warning in the Pacific Ocean. Two papers describe historical and paleotsunami studies in the Russian Far East. The final set of three papers importantly investigates tsunamis generated by non-seismic sources: asteroid airburst and meteorological disturbances. Collectively, this volume highlights contemporary trends in global tsunami research, both fundamental and applied toward hazard assessment and mitigation.

  7. Challenges in Defining Tsunami Wave Height

    NASA Astrophysics Data System (ADS)

    Stroker, K. J.; Dunbar, P. K.; Mungov, G.; Sweeney, A.; Arcos, N. P.

    2017-12-01

    The NOAA National Centers for Environmental Information (NCEI) and co-located World Data Service for Geophysics maintain the global tsunami archive consisting of the historical tsunami database, imagery, and raw and processed water level data. The historical tsunami database incorporates, where available, maximum wave heights for each coastal tide gauge and deep-ocean buoy that recorded a tsunami signal. These data are important because they are used for tsunami hazard assessment, model calibration, validation, and forecast and warning. There have been ongoing discussions in the tsunami community about the correct way to measure and report these wave heights. It is important to understand how these measurements might vary depending on how the data were processed and the definition of maximum wave height. On September 16, 2015, an 8.3 Mw earthquake located 48 km west of Illapel, Chile generated a tsunami that was observed all over the Pacific region. We processed the time-series water level data for 57 tide gauges that recorded this tsunami and compared the maximum wave heights determined from different definitions. We also compared the maximum wave heights from the NCEI-processed data with the heights reported by the NOAA Tsunami Warning Centers. We found that in the near field different methods of determining the maximum tsunami wave heights could result in large differences due to possible instrumental clipping. We also found that the maximum peak is usually larger than the maximum amplitude (½ peak-to-trough), but the differences for the majority of the stations were <20 cm. For this event, the maximum tsunami wave heights determined by either definition (maximum peak or amplitude) would have validated the forecasts issued by the NOAA Tsunami Warning Centers. Since there is currently only one field in the NCEI historical tsunami database to store the maximum tsunami wave height, NCEI will consider adding an additional field for the maximum peak measurement.

  8. Challenges in Defining Tsunami Wave Heights

    NASA Astrophysics Data System (ADS)

    Dunbar, Paula; Mungov, George; Sweeney, Aaron; Stroker, Kelly; Arcos, Nicolas

    2017-08-01

    The National Oceanic and Atmospheric Administration (NOAA) National Centers for Environmental Information (NCEI) and co-located World Data Service for Geophysics maintain the global tsunami archive consisting of the historical tsunami database, imagery, and raw and processed water level data. The historical tsunami database incorporates, where available, maximum wave heights for each coastal tide gauge and deep-ocean buoy that recorded a tsunami signal. These data are important because they are used for tsunami hazard assessment, model calibration, validation, and forecast and warning. There have been ongoing discussions in the tsunami community about the correct way to measure and report these wave heights. It is important to understand how these measurements might vary depending on how the data were processed and the definition of maximum wave height. On September 16, 2015, an 8.3 M w earthquake located 48 km west of Illapel, Chile generated a tsunami that was observed all over the Pacific region. We processed the time-series water level data for 57 coastal tide gauges that recorded this tsunami and compared the maximum wave heights determined from different definitions. We also compared the maximum wave heights from the NCEI-processed data with the heights reported by the NOAA Tsunami Warning Centers. We found that in the near field different methods of determining the maximum tsunami wave heights could result in large differences due to possible instrumental clipping. We also found that the maximum peak is usually larger than the maximum amplitude (½ peak-to-trough), but the differences for the majority of the stations were <20 cm. For this event, the maximum tsunami wave heights determined by either definition (maximum peak or amplitude) would have validated the forecasts issued by the NOAA Tsunami Warning Centers. Since there is currently only one field in the NCEI historical tsunami database to store the maximum tsunami wave height for each tide gauge and

  9. Characteristics of the 2011 Tohoku Tsunami and introduction of two level tsunamis for tsunami disaster mitigation

    PubMed Central

    SATO, Shinji

    2015-01-01

    Characteristics of the 2011 Tohoku Tsunami have been revealed by collaborative tsunami surveys extensively performed under the coordination of the Joint Tsunami Survey Group. The complex behaviors of the mega-tsunami were characterized by the unprecedented scale and the low occurrence frequency. The limitation and the performance of tsunami countermeasures were described on the basis of tsunami surveys, laboratory experiments and numerical analyses. These findings contributed to the introduction of two-level tsunami hazards to establish a new strategy for tsunami disaster mitigation, combining structure-based flood protection designed by the Level-1 tsunami and non-structure-based damage reduction planned by the Level-2 tsunami. PMID:26062739

  10. Characteristics of the 2011 Tohoku Tsunami and introduction of two level tsunamis for tsunami disaster mitigation.

    PubMed

    Sato, Shinji

    2015-01-01

    Characteristics of the 2011 Tohoku Tsunami have been revealed by collaborative tsunami surveys extensively performed under the coordination of the Joint Tsunami Survey Group. The complex behaviors of the mega-tsunami were characterized by the unprecedented scale and the low occurrence frequency. The limitation and the performance of tsunami countermeasures were described on the basis of tsunami surveys, laboratory experiments and numerical analyses. These findings contributed to the introduction of two-level tsunami hazards to establish a new strategy for tsunami disaster mitigation, combining structure-based flood protection designed by the Level-1 tsunami and non-structure-based damage reduction planned by the Level-2 tsunami.

  11. Streamlining Tsunami Messages (e.g., Warnings) of the US National Tsunami Warning Center, Palmer, Alaska

    NASA Astrophysics Data System (ADS)

    Gregg, C. E.; Sorensen, J. H.; Vogt Sorensen, B.; Whitmore, P.; Johnston, D. M.

    2016-12-01

    Spurred in part by world-wide interest in improving warning messaging for and response to tsunamis in the wake of several catastrophic tsunamis since 2004 and growing interest at the US National Weather Service (NWS) to integrate social science into their Tsunami Program, the NWS Tsunami Warning Centers in Alaska and Hawaii have made great progress toward enhancing tsunami messages. These include numerous products, among them being Tsunami Warnings, Tsunami Advisories and Tsunami Watches. Beginning in 2010 we have worked with US National Tsunami Hazard Mitigation Program (NTHMP) Warning Coordination and Mitigation and Education Subcommittee members; Tsunami Program administrators; and NWS Weather Forecast Officers to conduct a series of focus group meetings with stakeholders in coastal areas of Alaska, American Samoa, California, Hawaii, North Carolina, Oregon, US Virgin Islands and Washington to understand end-user perceptions of existing messages and their existing needs in message products. We also reviewed research literature on behavioral response to warnings to develop a Tsunami Warning Message Metric that could be used to guide revisions to tsunami warning messages of both warning centers. The message metric is divided into categories of Message Content, Style, Order, Formatting, and Receiver Characteristics. A sample message is evaluated by cross-referencing the message with the operational definitions of metric factors. Findings are then used to guide revisions of the message until the characteristics of each factor are met, whether the message is a full length or short message. Incrementally, this work contributed to revisions in the format, content and style of message products issued by the National Tsunami Warning Center (NTWC). Since that time, interest in short warning messages has continued to increase and in May 2016 the NTWC began efforts to revise message products to take advantage of recent NWS policy changes allowing use of mixed-case text

  12. Japan Meteorological Agency/Meteorological Research Institute-Coupled Prediction System version 2 (JMA/MRI-CPS2): atmosphere-land-ocean-sea ice coupled prediction system for operational seasonal forecasting

    NASA Astrophysics Data System (ADS)

    Takaya, Yuhei; Hirahara, Shoji; Yasuda, Tamaki; Matsueda, Satoko; Toyoda, Takahiro; Fujii, Yosuke; Sugimoto, Hiroyuki; Matsukawa, Chihiro; Ishikawa, Ichiro; Mori, Hirotoshi; Nagasawa, Ryoji; Kubo, Yutaro; Adachi, Noriyuki; Yamanaka, Goro; Kuragano, Tsurane; Shimpo, Akihiko; Maeda, Shuhei; Ose, Tomoaki

    2018-02-01

    This paper describes the Japan Meteorological Agency/Meteorological Research Institute-Coupled Prediction System version 2 (JMA/MRI-CPS2), which was put into operation in June 2015 for the purpose of performing seasonal predictions. JMA/MRI-CPS2 has various upgrades from its predecessor, JMA/MRI-CPS1, including improved resolution and physics in its atmospheric and oceanic components, introduction of an interactive sea-ice model and realistic initialization of its land component. Verification of extensive re-forecasts covering a 30-year period (1981-2010) demonstrates that JMA/MRI-CPS2 possesses improved seasonal predictive skills for both atmospheric and oceanic interannual variability as well as key coupled variability such as the El Niño-Southern Oscillation (ENSO). For ENSO prediction, the new system better represents the forecast uncertainty and transition/duration of ENSO phases. Our analysis suggests that the enhanced predictive skills are attributable to incremental improvements resulting from all of the changes, as is apparent in the beneficial effects of sea-ice coupling and land initialization on 2-m temperature predictions. JMA/MRI-CPS2 is capable of reasonably representing the seasonal cycle and secular trends of sea ice. The sea-ice coupling remarkably enhances the predictive capability for the Arctic 2-m temperature, indicating the importance of this factor, particularly for seasonal predictions in the Arctic region.

  13. Tsunami overview.

    PubMed

    Morrow, Robert C; Llewellyn, D Mark

    2006-10-01

    Historically, floods and tsunamis have caused relatively few severe injuries; an exception to that tendency followed the great Andaman Island-Sumatra earthquake and tsunami of 2004. More than 280,000 people died, the coastal plains were massively scoured, and more than 1 million individuals were made homeless by the quake and resulting tsunami, which affected a 10-nation region around the Indian Ocean. This destruction overwhelmed local resources and called forth an unprecedented, prolonged, international response. The USNS Mercy deployed on a unique mission and rendered service to the people and government of Indonesia. This introduction provides background on the nature and extent of the damage, conditions upon arrival of the hospital ship 5 weeks after the initial destruction, and the configuration of professionals aboard (officers and sailors of the U.S. Navy, civilian volunteers from Project HOPE, officers of the U.S. Public Health Service, and officers and civilian mariners of the Military Sealift Command). Constraints on the mission provide context for the other articles of this issue that document and comment on the activities, challenges, methods, and accomplishments of this unique mission's "team of teams," performing humanitarian assistance and disaster relief in the Pacific theater.

  14. Development of Spaceborne Radar Simulator by NICT and JAXA using JMA Cloud-resolving Model

    NASA Astrophysics Data System (ADS)

    Kubota, T.; Eito, H.; Aonashi, K.; Hashimoto, A.; Iguchi, T.; Hanado, H.; Shimizu, S.; Yoshida, N.; Oki, R.

    2009-12-01

    We are developing synthetic spaceborne radar data toward a simulation of the Dual-frequency Precipitation Radar (DPR) aboard the Global Precipitation Measurement (GPM) core-satellite. Our purposes are a production of test-bed data for higher level DPR algorithm developers, in addition to a diagnosis of a cloud resolving model (CRM). To make the synthetic data, we utilize the CRM by the Japan Meteorological Agency (JMA-NHM) (Ikawa and Saito 1991, Saito et al. 2006, 2007), and the spaceborne radar simulation algorithm by the National Institute of Information and Communications Technology (NICT) and the Japan Aerospace Exploration Agency (JAXA) named as the Integrated Satellite Observation Simulator for Radar (ISOSIM-Radar). The ISOSIM-Radar simulates received power data in a field of view of the spaceborne radar with consideration to a scan angle of the radar (Oouchi et al. 2002, Kubota et al. 2009). The received power data are computed with gaseous and hydrometeor attenuations taken into account. The backscattering and extinction coefficients are calculated assuming the Mie approximation for all species. The dielectric constants for solid particles are computed by the Maxwell-Garnett model (Bohren and Battan 1982). Drop size distributions are treated in accordance with those of the JMA-NHM. We assume a spherical sea surface, a Gaussian antenna pattern, and 49 antenna beam directions for scan angles from -17 to 17 deg. in the PR. In this study, we report the diagnosis of the JMA-NHM with reference to the TRMM Precipitation Radar (PR) and CloudSat Cloud Profiling Radar (CPR) using the ISOSIM-Radar from the view of comparisons in cloud microphysics schemes of the JMA-NHM. We tested three kinds of explicit bulk microphysics schemes based on Lin et al. (1983), that is, three-ice 1-moment scheme, three-ice 2-moment scheme (Eito and Aonashi 2009), and newly developed four-ice full 2-moment scheme (Hashimoto 2008). The hydrometeor species considered here are rain, graupel

  15. Introduction to “Global tsunami science: Past and future, Volume I”

    USGS Publications Warehouse

    Geist, Eric L.; Fritz, Hermann; Rabinovich, Alexander B.; Tanioka, Yuichiro

    2016-01-01

    Twenty-five papers on the study of tsunamis are included in Volume I of the PAGEOPH topical issue “Global Tsunami Science: Past and Future”. Six papers examine various aspects of tsunami probability and uncertainty analysis related to hazard assessment. Three papers relate to deterministic hazard and risk assessment. Five more papers present new methods for tsunami warning and detection. Six papers describe new methods for modeling tsunami hydrodynamics. Two papers investigate tsunamis generated by non-seismic sources: landslides and meteorological disturbances. The final three papers describe important case studies of recent and historical events. Collectively, this volume highlights contemporary trends in global tsunami research, both fundamental and applied toward hazard assessment and mitigation.

  16. Tsunami on Sanriku Coast in 1586: Orphan or Ghost Tsunami ?

    NASA Astrophysics Data System (ADS)

    Satake, K.

    2017-12-01

    The Peruvian earthquake on July 9, 1586 was the oldest earthquake that damaged Lima. The tsunami height was assigned as 24 m in Callao and 1-2 m in Miyagi prefecture in Japan by Soloviev and Go (1975). Dorbath et al. (1990) studied historical earthquakes in Peru and estimated that the 1586 earthquake was similar to the 1974 event (Mw 8.1) with source length of 175 km. They referred two different tsunami heights, 3. 7m and 24 m, in Callao, and judged that the latter was exaggerated. Okal et al. (2006) could not make a source model to explain both tsunami heights in Callao and Japan. More recently, Butler et al. (2017) estimated the age of coral boulders in Hawaii as AD 1572 +/- 21, speculated the tsunami source in Aleutians, and attributed it to the source of the 1586 tsunami in Japan. Historical tsunamis, both near-field and far-field, have been documented along the Sanriku coast since 1586 (e.g., Watanabe, 1998). However, there is no written document for the 1586 tsunami (Tsuji et al., 2013). Ninomiya (1960) compiled the historical tsunami records on the Sanriku coast soon after the 1960 Chilean tsunami, and correlated the legend of tsunami in Tokura with the 1586 Peruvian earthquake, although he noted that the dates were different. About the legend, he referred to Kunitomi(1933) who compiled historical tsunami data after the 1933 Showa Sanriku tsunami. Kunitomi referred to "Tsunami history of Miyagi prefecture" published after the 1896 Meiji Sanriku tsunami. "Tsunami history" described the earthquake and tsunami damage of Tensho earthquake on January 18 (Gregorian),1586 in central Japan, and correlated the tsunami legend in Tokura on June 30, 1586 (G). Following the 2011 Tohoku tsunami, tsunami legend in Tokura was studied again (Ebina, 2015). A local person published a story he heard from his grandfather that many small valleys were named following the 1611 tsunami, which inundated further inland than the 2011 tsunami. Ebina (2015), based on historical documents

  17. Hydraulic experiment on formation mechanism of tsunami deposit and verification of sediment transport model for tsunamis

    NASA Astrophysics Data System (ADS)

    Yamamoto, A.; Takahashi, T.; Harada, K.; Sakuraba, M.; Nojima, K.

    2017-12-01

    An underestimation of the 2011 Tohoku tsunami caused serious damage in coastal area. Reconsideration for tsunami estimation needs knowledge of paleo tsunamis. The historical records of giant tsunamis are limited, because they had occurred infrequently. Tsunami deposits may include many of tsunami records and are expected to analyze paleo tsunamis. However, present research on tsunami deposits are not able to estimate the tsunami source and its magnitude. Furthermore, numerical models of tsunami and its sediment transport are also important. Takahashi et al. (1999) proposed a model of movable bed condition due to tsunamis, although it has some issues. Improvement of the model needs basic data on sediment transport and deposition. This study investigated the formation mechanism of tsunami deposit by hydraulic experiment using a two-dimensional water channel with slope. In a fixed bed condition experiment, velocity, water level and suspended load concentration were measured at many points. In a movable bed condition, effects of sand grains and bore wave on the deposit were examined. Yamamoto et al. (2016) showed deposition range varied with sand grain sizes. In addition, it is revealed that the range fluctuated by number of waves and wave period. The measurements of velocity and water level showed that flow was clearly different near shoreline and in run-up area. Large velocity by return flow was affected the amount of sand deposit near shoreline. When a cutoff wall was installed on the slope, the amount of sand deposit repeatedly increased and decreased. Especially, sand deposit increased where velocity decreased. Takahashi et al. (1999) adapted the proposed model into Kesennuma bay when the 1960 Chilean tsunami arrived, although the amount of sand transportation was underestimated. The cause of the underestimation is inferred that the velocity of this model was underestimated. A relationship between velocity and sediment transport has to be studied in detail, but

  18. A Pilot Tsunami Inundation Forecast System for Australia

    NASA Astrophysics Data System (ADS)

    Allen, Stewart C. R.; Greenslade, Diana J. M.

    2016-12-01

    The Joint Australian Tsunami Warning Centre (JATWC) provides a tsunami warning service for Australia. Warnings are currently issued according to a technique that does not include explicit modelling at the coastline, including any potential coastal inundation. This paper investigates the feasibility of developing and implementing tsunami inundation modelling as part of the JATWC warning system. An inundation model was developed for a site in Southeast Australia, on the basis of the availability of bathymetric and topographic data and observations of past tsunamis. The model was forced using data from T2, the operational deep-water tsunami scenario database currently used for generating warnings. The model was evaluated not only for its accuracy but also for its computational speed, particularly with respect to operational applications. Limitations of the proposed forecast processes in the Australian context and areas requiring future improvement are discussed.

  19. Tsunami Warning Protocol for Eruptions of Augustine Volcano, Cook Inlet, Alaska

    NASA Astrophysics Data System (ADS)

    Whitmore, P.; Neal, C.; Nyland, D.; Murray, T.; Power, J.

    2006-12-01

    Augustine is an island volcano that has generated at least one tsunami. During its January 2006 eruption coastal residents of lower Cook Inlet became concerned about tsunami potential. To address this concern, NOAA's West Coast/ Alaska Tsunami Warning Center (WC/ATWC) and the Alaska Volcano Observatory (AVO) jointly developed a tsunami warning protocol for the most likely scenario for tsunami generation at Augustine: a debris avalanche into the Cook Inlet. Tsunami modeling indicates that a wave generated at Augustine volcano could reach coastal communities in approximately 55 minutes. If a shallow seismic event with magnitude greater than 4.5 occurred near Augustine and the AVO had set the level of concern color code to orange or red, the WC/ATWC would immediately issue a warning for the lower Cook Inlet. Given the short tsunami travel times involved, potentially affected communities would be provided as much lead time as possible. Large debris avalanches that could trigger a tsunami in lower Cook Inlet are expected to be accompanied by a strong seismic signal. Seismograms produced by these debris avalanches have unique spectral characteristics. After issuing a warning, the WC/ATWC would compare the observed waveform with known debris avalanches, and would consult with AVO to further evaluate the event using AVO's on-island networks (web cameras, seismic network, etc) to refine or cancel the warning. After the 2006 eruptive phase ended, WC/ATWC, with support from AVO and the University of Alaska Tsunami Warning and Environmental Observatory for Alaska program (TWEAK), developed and installed "splash-gauges" which will provide confirmation of tsunami generation.

  20. Advanced Planning for Tsunamis in California

    NASA Astrophysics Data System (ADS)

    Miller, K.; Wilson, R. I.; Larkin, D.; Reade, S.; Carnathan, D.; Davis, M.; Nicolini, T.; Johnson, L.; Boldt, E.; Tardy, A.

    2013-12-01

    The California Tsunami Program is comprised of the California Governor's Office of Emergency Services (CalOES) and the California Geological Survey (CGS) and funded through the National Tsunami Hazard Mitigation Program (NTHMP) and the Federal Emergency Management Agency (FEMA). The program works closely with the 20 coastal counties in California, as well as academic, and industry experts to improve tsunami preparedness and mitigation in shoreline communities. Inundation maps depicting 'worst case' inundation modeled from plausible sources around the Pacific were released in 2009 and have provided a foundation for public evacuation and emergency response planning in California. Experience during recent tsunamis impacting the state (Japan 2011, Chile 2010, Samoa 2009) has brought to light the desire by emergency managers and decision makers for even more detailed information ahead of future tsunamis. A solution to provide enhanced information has been development of 'playbooks' to plan for a variety of expected tsunami scenarios. Elevation 'playbook' lines can be useful for partial tsunami evacuations when enough information about forecast amplitude and arrival times is available to coastal communities and there is sufficient time to make more educated decisions about who to evacuate for a given scenario or actual event. NOAA-issued Tsunami Alert Bulletins received in advance of a distant event will contain an expected wave height (a number) for each given section of coast. Provision of four elevation lines for possible inundation enables planning for different evacuation scenarios based on the above number potentially alleviating the need for an 'all or nothing' decision with regard to evacuation. Additionally an analytical tool called FASTER is being developed to integrate storm, tides, modeling errors, and local tsunami run-up potential with the forecasted tsunami amplitudes in real-time when a tsunami Alert is sent out. Both of these products will help

  1. Real time assessment of the 15 July 2009 New Zealand tsunami

    NASA Astrophysics Data System (ADS)

    Uslu, Burak; Power, William; Greensdale, Dianne; Titov, Vasily

    2010-05-01

    On the 15th July 2009 a Mw 7.6 earthquake occurred off the coast of Fiordland in the South Island of New Zealand, about 1200 km from Auckland, New Zealand, 1500 km from Hobart, Tasmania and 1800 km from Sydney, Australia. A tsunami was generated and an initial warning issued by the PTWC. The Centre for Australian Weather and Climate issued its first tsunami warning for coastal regions of eastern Australia and New Zealand 24 minutes after the earthquake. By serendipitous coincidence, the earthquake struck while the International Tsunami Symposium was in session in Novosibirsk Russia. This provided the opportunity to test, in real-time, several tsunami warning systems in front of attending scientists (Schiermeier, 2009). NOAA Center for Tsunami Research, Pacific Tsunami Warning Center, GNS Science, and Centre for Australian Weather and Climate scientists were present at the symposium and worked together. Vasily Titov showed "live" NOAA's methodology (Bernard et al, 2006) to assess the tsunami potential and, in consultation with colleagues, provided warning guidance, and the warning was eventually canceled. We discuss how the forecast was done and how accurate the initial determination was. References Bernard E.N. et al., 2006, Tsunami: scientific frontiers, mitigation, forecasting and policy implications, Phil. Trans. R. Soc. A, 364:1989-2007; doi:10.1098/rsta.2006.1809 Schiermeier, Q., 2009, Tsunami forecast in real time, Published online 16 July 2009 | Nature | doi:10.1038/news.2009.702

  2. When is a Tsunami a Mega-Tsunami?

    NASA Astrophysics Data System (ADS)

    Chague-Goff, C.; Goff, J. R.; Terry, J. P.; Goto, K.

    2014-12-01

    The 2004 Indian Ocean Tsunami is commonly called a mega-tsunami, and this attribute has also been linked to the 2011 Tohoku-oki tsunami. However, since this term was first coined in the early 1990's there have been very few attempts to define it. As such it has been applied in a rather arbitrary fashion to a number of tsunami characteristics, such as wave height or amplitude at both the source and at distant locations, run-up height, geographical extent and impact. The first use of the term is related to a tsunami generated by a large bolide impact and indeed it seems entirely appropriate that the term should be used for such rare events on geological timescales. However, probably as a result of media-driven hyperbole, scientists have used this term at least twice in the last decade, which is hardly a significant portion of the geological timescale. It therefore seems reasonable to suggest that these recent unexpectedly large events do not fall in the category of mega-tsunami but into a category of exceptional events within historical experience and local perspective. The use of the term mega-tsunami over the past 14 years is discussed and a definition is provided that marks the relative uniqueness of these events and a new term, appropriately Japanese in origin, namely that of souteigai-tsunami, is proposed. Examples of these tsunamis will be provided.

  3. Class Room Exercises Using JMA-59-Type Seismograms for Earthquake Study at High-School Level

    NASA Astrophysics Data System (ADS)

    Okamoto, Y.; Furuta, S.; Hirota, N.

    2013-12-01

    The JMA-59-type electromagnetic seismograph was the standard seismograph for routine observations by the Japan Meteorological Agency (JMA) from the 1960's to the 1990's. Some features of those seismograms include 1) displacement wave records (electrically integrated from a velocity output by a moving-coil-type sensor), 2) ink records on paper (analog recording with time marks), 3) continuous drum recording for 12 h, and 4) lengthy operation time over several decades. However, the digital revolution in recording systems during the 1990's made these analog features obsolete, and their abundant and bulky paper-based records were stacked and sometimes disregarded in the library of every observatory. Interestingly, from an educational aspect, the disadvantages of these old-fashioned systems become highly advantageous for educational or outreach purposes. The updated digital instrument is essentially a 'black-box,' not revealing its internal mechanisms and being too fast for observing its signal processes. While the old seismometers and recording systems have been disposed of long since, stacks of analog seismograms continue to languish in observatories' back rooms. In our study, we develop some classroom exercises for studying earthquakes at the mid- to high-school level using these analog seismograms. These exercises include 1) reading the features of seismic records, 2) measuring the S-P time, 3) converting the hypocentral distance from Omori's distance formula, 4) locating the epicenter/hypocenter using the S-P times of surrounding stations, and 5) estimating earthquake magnitude using the Tsuboi's magnitude formula. For this calculation we developed a 'nomogram'--a graphical paper calculator created using a Python-based freeware tool named 'PyNomo.' We tested many seismograms and established the following rules: 1) shallow earthquakes are appropriate for using the Tsuboi's magnitude formula; 2) there is no saturation at peak amplitude; 3) seismograms make it easy to

  4. New Tsunami Response, Mitigation, and Recovery Planning "Playbooks" for California (USA) Maritime Communities

    NASA Astrophysics Data System (ADS)

    Wilson, R. I.; Lynett, P. J.; Miller, K.; Eskijian, M.; Dengler, L. A.; Ayca, A.; Keen, A.; Admire, A. R.; Siegel, J.; Johnson, L. A.; Curtis, E.; Hornick, M.

    2015-12-01

    The 2010 Chile and 2011 Japan tsunamis both struck the California coast offering valuable experience and raised a number of significant issues for harbor masters, port captains, and other maritime entities. There was a general call for more planning products to help guide maritime communities in their tsunami response, mitigation, and recovery activities. The State of California is working with the U.S. Federal Emergency Management Agency (FEMA), the U.S. National Tsunami Hazard Mitigation Program (NTHMP), and other tsunami experts to provide communities with new tsunami planning tools to address these issues: Response Playbooks and plans have been developed for ports and harbors identifying potential tsunami current hazards and related damage for various size events. Maps have been generated showing minor, moderate, and severe damage levels that have been linked to current velocity thresholds of 3, 6, and 9 knots, respectively. Knowing this information allows harbor personnel to move ships or strengthen infrastructure prior to the arrival of distant source tsunamis. Damage probability tools and mitigation plans have been created to help reduce tsunami damage by evaluating the survivability of small and large vessels in harbors and ports. These results were compared to the actual damage assessments performed in California and Japan following the 2011 Japanese tsunami. Fragility curves were developed based on current velocity and direction to help harbor and port officials upgrade docks, piles, and related structures. Guidance documents are being generated to help in the development of both local and statewide recovery plans. Additional tools, like post-tsunami sediment and debris movement models, will allow harbors and ports to better understand if and where recovery issues are most likely to occur. Streamlining the regulatory and environmental review process is also a goal of the guidance. These maritime products and procedures are being integrated into guidance

  5. Operational Tsunami Modelling with TsunAWI for the German-Indonesian Tsunami Early Warning System: Recent Developments

    NASA Astrophysics Data System (ADS)

    Rakowsky, N.; Harig, S.; Androsov, A.; Fuchs, A.; Immerz, A.; Schröter, J.; Hiller, W.

    2012-04-01

    Starting in 2005, the GITEWS project (German-Indonesian Tsunami Early Warning System) established from scratch a fully operational tsunami warning system at BMKG in Jakarta. Numerical simulations of prototypic tsunami scenarios play a decisive role in a priori risk assessment for coastal regions and in the early warning process itself. Repositories with currently 3470 regional tsunami scenarios for GITEWS and 1780 Indian Ocean wide scenarios in support of Indonesia as a Regional Tsunami Service Provider (RTSP) were computed with the non-linear shallow water modell TsunAWI. It is based on a finite element discretisation, employs unstructured grids with high resolution along the coast and includes inundation. This contribution gives an overview on the model itself, the enhancement of the model physics, and the experiences gained during the process of establishing an operational code suited for thousands of model runs. Technical aspects like computation time, disk space needed for each scenario in the repository, or post processing techniques have a much larger impact than they had in the beginning when TsunAWI started as a research code. Of course, careful testing on artificial benchmarks and real events remains essential, but furthermore, quality control for the large number of scenarios becomes an important issue.

  6. Tsunami Casualty Model

    NASA Astrophysics Data System (ADS)

    Yeh, H.

    2007-12-01

    More than 4500 deaths by tsunamis were recorded in the decade of 1990. For example, the 1992 Flores Tsunami in Indonesia took away at least 1712 lives, and more than 2182 people were victimized by the 1998 Papua New Guinea Tsunami. Such staggering death toll has been totally overshadowed by the 2004 Indian Ocean Tsunami that claimed more than 220,000 lives. Unlike hurricanes that are often evaluated by economic losses, death count is the primary measure for tsunami hazard. It is partly because tsunamis kill more people owing to its short lead- time for warning. Although exact death tallies are not available for most of the tsunami events, there exist gender and age discriminations in tsunami casualties. Significant gender difference in the victims of the 2004 Indian Ocean Tsunami was attributed to women's social norms and role behavior, as well as cultural bias toward women's inability to swim. Here we develop a rational casualty model based on humans' limit to withstand the tsunami flows. The application to simple tsunami runup cases demonstrates that biological and physiological disadvantages also make a significant difference in casualty rate. It further demonstrates that the gender and age discriminations in casualties become most pronounced when tsunami is marginally strong and the difference tends to diminish as tsunami strength increases.

  7. Tsunami prevention and mitigation necessities and options derived from tsunami risk assessment in Indonesia

    NASA Astrophysics Data System (ADS)

    Post, J.; Zosseder, K.; Wegscheider, S.; Steinmetz, T.; Mück, M.; Strunz, G.; Riedlinger, T.; Anwar, H. Z.; Birkmann, J.; Gebert, N.

    2009-04-01

    information and other GIS products will be presented. The focus of the products is on the one hand to provide relevant risk assessment products as decision support to issue a tsunami warning within the early warning stage. On the other hand the maps and GIS products shall provide relevant information to enable local decision makers to act adequately concerning their local risks. It is shown that effective prevention and mitigation measures can be designed based on risk assessment results and information especially when used pro-active and beforehand a disaster strikes. The conducted hazard assessment provides the probability of an area to be affected by a tsunami threat divided into two ranked impact zones. The two divided impact zones directly relate to tsunami warning levels issued by the Early Warning Center and consequently enable the local decision maker to base their planning (e.g. evacuation) accordingly. Within the tsunami hazard assessment several hundred pre-computed tsunami scenarios are analysed. This is combined with statistical analysis of historical event data. Probabilities of tsunami occurrence considering probabilities of different earthquake magnitudes, occurrences of specific wave heights at coast and spatial inundation probability are computed. Hazard assessment is then combined with a comprehensive vulnerability assessment. Here deficits in e.g. people's ability to receive and understand a tsunami warning and deficits in their ability to respond adequately (evacuate on time) are quantified and are visualized for the respective coastal areas. Hereby socio-economic properties (determining peoples ability to understand a warning and to react) are combined with environmental conditions (land cover, slope, population density) to calculate the time needed to evacuate (reach a tsunami safe area derived through the hazard assessment). This is implemented using a newly developed GIS cost-distance weighting approach. For example, the amount of people affected in a

  8. Prioritizing earthquake and tsunami alerting efforts

    NASA Astrophysics Data System (ADS)

    Allen, R. M.; Allen, S.; Aranha, M. A.; Chung, A. I.; Hellweg, M.; Henson, I. H.; Melgar, D.; Neuhauser, D. S.; Nof, R. N.; Strauss, J. A.

    2015-12-01

    The timeline of hazards associated with earthquakes ranges from seconds for the strong shaking at the epicenter, to minutes for strong shaking at more distant locations in big quakes, to tens of minutes for a local tsunami. Earthquake and tsunami warning systems must therefore include very fast initial alerts, while also taking advantage of available time in bigger and tsunami-generating quakes. At the UC Berkeley Seismological Laboratory we are developing a suite of algorithms to provide the fullest possible information about earthquake shaking and tsunami inundation from seconds to minutes after a quake. The E-larmS algorithm uses the P-wave to rapidly detect an earthquake and issue a warning. It is currently issuing alerts to test users in as little as 3 sec after the origin time. Development of a new waveform detector may lead to even faster alerts. G-larmS uses permanent deformation estimates from GNSS stations to estimate the geometry and extent of rupture underway providing more accurate ground shaking estimates in big (M>~7) earthquakes. It performed well in the M6.0 2014 Napa earthquake. T-larmS is a new algorithm designed to extend alert capabilities to tsunami inundation. Rapid estimates of source characteristics for subduction zones event can not only be used to warn of the shaking hazard, but also the local tsunami inundation hazard. These algorithms are being developed, implemented and tested with a focus on the western US, but are also now being tested in other parts of the world including Israel, Turkey, Korea and Chile. Beta users in the Bay Area are receiving the alerts and beginning to implement automated actions. They also provide feedback on users needs, which has led to the development of the MyEEW smartphone app. This app allows beta users to receive the alerts on their cell phones. All these efforts feed into our ongoing assessment of directions and priorities for future development and implementation efforts.

  9. Local Tsunami Warnings using GNSS and Seismic Data.

    NASA Astrophysics Data System (ADS)

    Hirshorn, B. F.

    2017-12-01

    Tsunami warning Centers (TWC's) must issue warnings based on imperfect and limited data. Uncertainties increase in the near field, where a tsunami reaches the closest coastal populations to the causative earthquake in a half hour or less. In the absence of a warning, the usual advice is "When the ground shakes so severely that it's difficult to stand, move uphill and away from the coast." But, what if the shaking is not severe? If, for example, the earthquake ruptures slowly (producing very little perceived shaking) this advice will fail. Unfortunately these "Tsunami" earthquakes are not rare: tsunamis from slow earthquakes off of Nicaragua in 1992, and Java in 1994 and 2006, killed 179, 250 and 637 people, respectively, even though very few nearby coastal residents felt any strong ground shaking. TWC's must therefore warn the closest coastal populations to the causative earthquake, where over 80% of the Tsunami based casualties typically occur, as soon possible after earthquake rupture begins. The NWS Tsunami Warning Centers (TWCs) currently issue local Tsunami Warnings for the US West Coast, Hawaii, and the Puerto Rico - Virgin Island region within 2-4 minutes after origin time. However, our initial short period Magnitude estimates saturate over about Mw 6.5, and Mwp underestimates Mw for events larger than about Mw 7.5 when using data in the 0 to 3 degree epicentral distance range, severely underestimating the danger of a potential Tsunami in the near field. Coastal GNSS networks complement seismic monitoring networks, and enable unsaturated estimates of Mw within 2-3 minutes of earthquake origin time. NASA/JPL, SIO, USGS, CWU, UCB and UW, with funding and guidance from NASA, and leveraging the USGS funded ShakeAlert development, have been working with the National Weather Service TWC's to incorporate real-time GNSS and seismogeodetic data into their operations. These data will soon provide unsaturated estimates of moment magnitude, Centroid Moment Tensor

  10. Public Policy Issues Associated with Tsunami Hazard Mitigation, Response and Recovery: Transferable Lessons from Recent Global Disasters

    NASA Astrophysics Data System (ADS)

    Johnson, L.

    2014-12-01

    Since 2004, a sequence of devastating tsunamis has taken the lives of more than 300,000 people worldwide. The path of destruction left by each is typically measured in hundreds of meters to a few kilometers and its breadth can extend for hundreds even thousands of kilometers, crossing towns and countries and even traversing an entire oceanic basin. Tsunami disasters in Indonesia, Chile, Japan and elsewhere have also shown that the almost binary nature of tsunami impacts can present some unique risk reduction, response, recovery and rebuilding challenges, with transferable lessons to other tsunami vulnerable coastal communities around the world. In particular, the trauma can motivate survivors to relocate homes, jobs, and even whole communities to safer ground, sometimes at tremendous social and financial costs. For governments, the level of concentrated devastation usually exceeds the local capacity to respond and thus requires complex inter-governmental arrangements with regional, national and even international partners to support the recovery of impacted communities, infrastructure and economies. Two parallel projects underway in California since 2011—the SAFRR (Science Application for Risk Reduction) tsunami scenario project and the California Tsunami Policy Working Group (CTPWG)—have worked to digest key lessons from recent tsunami disasters, with an emphasis on identifying gaps to be addressed in the current state and federal policy framework to enhance tsunami risk awareness, hazard mitigation, and response and recovery planning ahead of disaster and also improve post-disaster implementation practices following a future California or U.S. tsunami event.

  11. Tsunami geology in paleoseismology

    USGS Publications Warehouse

    Yuichi Nishimura,; Jaffe, Bruce E.

    2015-01-01

    The 2004 Indian Ocean and 2011 Tohoku-oki disasters dramatically demonstrated the destructiveness and deadliness of tsunamis. For the assessment of future risk posed by tsunamis it is necessary to understand past tsunami events. Recent work on tsunami deposits has provided new information on paleotsunami events, including their recurrence interval and the size of the tsunamis (e.g. [187–189]). Tsunamis are observed not only on the margin of oceans but also in lakes. The majority of tsunamis are generated by earthquakes, but other events that displace water such as landslides and volcanic eruptions can also generate tsunamis. These non-earthquake tsunamis occur less frequently than earthquake tsunamis; it is, therefore, very important to find and study geologic evidence for past eruption and submarine landslide triggered tsunami events, as their rare occurrence may lead to risks being underestimated. Geologic investigations of tsunamis have historically relied on earthquake geology. Geophysicists estimate the parameters of vertical coseismic displacement that tsunami modelers use as a tsunami's initial condition. The modelers then let the simulated tsunami run ashore. This approach suffers from the relationship between the earthquake and seafloor displacement, the pertinent parameter in tsunami generation, being equivocal. In recent years, geologic investigations of tsunamis have added sedimentology and micropaleontology, which focus on identifying and interpreting depositional and erosional features of tsunamis. For example, coastal sediment may contain deposits that provide important information on past tsunami events [190, 191]. In some cases, a tsunami is recorded by a single sand layer. Elsewhere, tsunami deposits can consist of complex layers of mud, sand, and boulders, containing abundant stratigraphic evidence for sediment reworking and redeposition. These onshore sediments are geologic evidence for tsunamis and are called ‘tsunami deposits’ (Figs. 26

  12. CARIBE WAVE/LANTEX Caribbean and Western Atlantic Tsunami Exercises

    NASA Astrophysics Data System (ADS)

    von Hillebrandt-Andrade, C.; Whitmore, P.; Aliaga, B.; Huerfano Moreno, V.

    2013-12-01

    Over 75 tsunamis have been documented in the Caribbean and Adjacent Regions over the past 500 years. While most have been generated by local earthquakes, distant generated tsunamis can also affect the region. For example, waves from the 1755 Lisbon earthquake and tsunami were observed in Cuba, Dominican Republic, British Virgin Islands, as well as Antigua, Martinique, Guadalupe and Barbados in the Lesser Antilles. Since 1500, at least 4484 people are reported to have perished in these killer waves. Although the tsunami generated by the 2010 Haiti earthquake claimed only a few lives, in the 1530 El Pilar, Venezuela; 1602 Port Royale, Jamaica; 1918 Puerto Rico; and 1946 Samaná, Dominican Republic tsunamis the death tolls ranged to over a thousand. Since then, there has been an explosive increase in residents, visitors, infrastructure, and economic activity along the coastlines, increasing the potential for human and economic loss. It has been estimated that on any day, upwards of more than 500,000 people could be in harm's way just along the beaches, with hundreds of thousands more working and living in the tsunamis hazard zones. Given the relative infrequency of tsunamis, exercises are a valuable tool to test communications, evaluate preparedness and raise awareness. Exercises in the Caribbean are conducted under the framework of the UNESCO IOC Intergovernmental Coordination Group for the Tsunami and other Coastal Hazards Warning System for the Caribbean and Adjacent Regions (CARIBE EWS) and the US National Tsunami Hazard Mitigation Program. On March 23, 2011, 34 countries and territories participated in the first CARIBE WAVE/LANTEX regional tsunami exercise, while in the second exercise on March 20, 2013 a total of 45 countries and territories participated. 481 organizations (almost 200 more than in 2011) also registered to receive the bulletins issued by the Pacific Tsunami Warning Center (PTWC), West Coast and Alaska Tsunami Warning Center and/or the Puerto Rico

  13. The tsunami phenomenon

    NASA Astrophysics Data System (ADS)

    Röbke, B. R.; Vött, A.

    2017-12-01

    With human activity increasingly concentrating on coasts, tsunamis (from Japanese tsu = harbour, nami = wave) are a major natural hazard to today's society. Stimulated by disastrous tsunami impacts in recent years, for instance in south-east Asia (2004) or in Japan (2011), tsunami science has significantly flourished, which has brought great advances in hazard assessment and mitigation plans. Based on tsunami research of the last decades, this paper provides a thorough treatise on the tsunami phenomenon from a geoscientific point of view. Starting with the wave features, tsunamis are introduced as long shallow water waves or wave trains crossing entire oceans without major energy loss. At the coast, tsunamis typically show wave shoaling, funnelling and resonance effects as well as a significant run-up and backflow. Tsunami waves are caused by a sudden displacement of the water column due to a number of various trigger mechanisms. Such are earthquakes as the main trigger, submarine and subaerial mass wastings, volcanic activity, atmospheric disturbances (meteotsunamis) and cosmic impacts, as is demonstrated by giving corresponding examples from the past. Tsunamis are known to have a significant sedimentary and geomorphological off- and onshore response. So-called tsunamites form allochthonous high-energy deposits that are left at the coast during tsunami landfall. Tsunami deposits show typical sedimentary features, as basal erosional unconformities, fining-upward and -landward, a high content of marine fossils, rip-up clasts from underlying units and mud caps, all reflecting the hydrodynamic processes during inundation. The on- and offshore behaviour of tsunamis and related sedimentary processes can be simulated using hydro- and morphodynamic numerical models. The paper provides an overview of the basic tsunami modelling techniques, including discretisation, guidelines for appropriate temporal and spatial resolution as well as the nesting method. Furthermore, the

  14. A simple model for calculating tsunami flow speed from tsunami deposits

    USGS Publications Warehouse

    Jaffe, B.E.; Gelfenbuam, G.

    2007-01-01

    This paper presents a simple model for tsunami sedimentation that can be applied to calculate tsunami flow speed from the thickness and grain size of a tsunami deposit (the inverse problem). For sandy tsunami deposits where grain size and thickness vary gradually in the direction of transport, tsunami sediment transport is modeled as a steady, spatially uniform process. The amount of sediment in suspension is assumed to be in equilibrium with the steady portion of the long period, slowing varying uprush portion of the tsunami. Spatial flow deceleration is assumed to be small and not to contribute significantly to the tsunami deposit. Tsunami deposits are formed from sediment settling from the water column when flow speeds on land go to zero everywhere at the time of maximum tsunami inundation. There is little erosion of the deposit by return flow because it is a slow flow and is concentrated in topographic lows. Variations in grain size of the deposit are found to have more effect on calculated tsunami flow speed than deposit thickness. The model is tested using field data collected at Arop, Papua New Guinea soon after the 1998 tsunami. Speed estimates of 14??m/s at 200??m inland from the shoreline compare favorably with those from a 1-D inundation model and from application of Bernoulli's principle to water levels on buildings left standing after the tsunami. As evidence that the model is applicable to some sandy tsunami deposits, the model reproduces the observed normal grading and vertical variation in sorting and skewness of a deposit formed by the 1998 tsunami.

  15. Development and Application of a Message Metric for NOAA NWS Tsunami Warnings and Recommended Guidelines for the NWS TsunamiReady Program

    NASA Astrophysics Data System (ADS)

    Gregg, C. E.; Johnston, D. M.; Ricthie, L.; Meinhold, S.; Johnson, V.; Scott, C.; Farnham, C.; Houghton, B. F.; Horan, J.; Gill, D.

    2012-12-01

    Improving the quality and effectiveness of tsunami warning messages and the TsunamiReady community preparedness program of the US National Oceanic and Atmospheric Administration, National Weather Service's (NWS), Tsunami Program are two key objectives of a three year project (Award NA10NWS4670015) to help integrate social science into the NWS' Tsunami Program and improve the preparedness of member states and territories of the National Tsunami Hazard Mitigation Program (NTHMP). Research was conducted in collaboration with state and local emergency managers. Based on findings from focus group meetings with a purposive sample of local, state and Federal stakeholders and emergency managers in six states (AK, WA, OR, CA, HI and NC) and two US Territories (US Virgin Islands and American Samoa), and upon review of research literature on behavioral response to warnings, we developed a warning message metric to help guide revisions to tsunami warning messages issued by the NWS' West Coast/Alaska Tsunami Warning Center, Alaska and Pacific Tsunami Warning Center, Hawaii. The metric incorporates factors that predict response to warning information, which are divided into categories of Message Content, Style, Order and Formatting and Receiver Characteristics. A message is evaluated by cross-referencing the message with the meaning of metric factors and assigning a maximum score of one point per factor. Findings are then used to guide revisions of the message until the characteristics of each factor are met. From focus groups that gathered information on the usefulness and achievability of tsunami preparedness actions, we developed recommendations for revisions to the proposed draft guidelines of the TsunamiReady Improvement Program. Proposed key revisions include the incorporation of community vulnerability to distant (far-field) versus local (near-field) tsunamis as a primary determinant of mandatory actions, rather than community population. Our team continues to work with

  16. Maritime Tsunami Hazard Assessment in California

    NASA Astrophysics Data System (ADS)

    Lynett, P. J.; Borrero, J. C.; Wilson, R. I.; Miller, K. M.

    2012-12-01

    of a typical tsunami. The ability to model and then validate these currentsdissect them has only recently become available through the evaluation of dozens of eyewitness accounts and hundreds of videos.developed. In this presentation, we will present ongoing work related to the application of such models to quantify the maritime tsunami hazard in select ports and harbors in California. The development of current-based tsunami hazard maps and safe-offshore-depth delineations will be discussed. We will also present an overview of the challenges in modeling tsunami currents, including capture of turbulent dynamics, coupling with tides, and issues with long-duration simulations. This work in California will form the basis for tsunami hazard reduction for all U.S. maritime communities through the National Tsunami Hazard Mitigation Program.

  17. The quest for wisdom: lessons from 17 tsunamis, 2004-2014.

    PubMed

    Okal, Emile A

    2015-10-28

    Since the catastrophic Sumatra-Andaman tsunami took place in 2004, 16 other tsunamis have resulted in significant damage and 14 in casualties. We review the fundamental changes that have affected our command of tsunami issues as scientists, engineers and decision-makers, in the quest for improved wisdom in this respect. While several scientific paradigms have had to be altered or abandoned, new algorithms, e.g. the W seismic phase and real-time processing of fast-arriving seismic P waves, give us more powerful tools to estimate in real time the tsunamigenic character of an earthquake. We assign to each event a 'wisdom index' based on the warning issued (or not) during the event, and on the response of the population. While this approach is admittedly subjective, it clearly shows several robust trends: (i) we have made significant progress in our command of far-field warning, with only three casualties in the past 10 years; (ii) self-evacuation by educated populations in the near field is a key element of successful tsunami mitigation; (iii) there remains a significant cacophony between the scientific community and decision-makers in industry and government as documented during the 2010 Maule and 2011 Tohoku events; and (iv) the so-called 'tsunami earthquakes' generating larger tsunamis than expected from the size of their seismic source persist as a fundamental challenge, despite scientific progress towards characterizing these events in real time. © 2015 The Author(s).

  18. A new GIS-based tsunami risk evaluation: MeTHuVA (METU tsunami human vulnerability assessment) at Yenikapı, Istanbul

    NASA Astrophysics Data System (ADS)

    Cankaya, Zeynep Ceren; Suzen, Mehmet Lutfi; Yalciner, Ahmet Cevdet; Kolat, Cagil; Zaytsev, Andrey; Aytore, Betul

    2016-07-01

    Istanbul is a mega city with various coastal utilities located on the northern coast of the Sea of Marmara. At Yenikapı, there are critical vulnerable coastal utilities, structures, and active metropolitan life. Fishery ports, commercial ports, small craft harbors, passenger terminals of intercity maritime transportation, waterfront commercial and/or recreational structures with residential/commercial areas and public utility areas are some examples of coastal utilization that are vulnerable to marine disasters. Therefore, the tsunami risk in the Yenikapı region is an important issue for Istanbul. In this study, a new methodology for tsunami vulnerability assessment for areas susceptible to tsunami is proposed, in which the Yenikapı region is chosen as a case study. Available datasets from the Istanbul Metropolitan Municipality and Turkish Navy are used as inputs for high-resolution GIS-based multi-criteria decision analysis (MCDA) evaluation of tsunami risk in Yenikapı. Bathymetry and topography database is used for high-resolution tsunami numerical modeling where the tsunami hazard, in terms of coastal inundation, is deterministically computed using the NAMI DANCE numerical code, considering earthquake worst case scenarios. In order to define the tsunami human vulnerability of the region, two different aspects, vulnerability at location and evacuation resilience maps were created using the analytical hierarchical process (AHP) method of MCDA. A vulnerability at location map is composed of metropolitan use, geology, elevation, and distance from shoreline layers, whereas an evacuation resilience map is formed by slope, distance within flat areas, distance to buildings, and distance to road networks layers. The tsunami risk map is then computed by the proposed new relationship which uses flow depth maps, vulnerability at location maps, and evacuation resilience maps.

  19. Tsunami Science for Society

    NASA Astrophysics Data System (ADS)

    Bernard, E. N.

    2014-12-01

    As the decade of mega-tsunamis has unfolded with new data, the science of tsunami has advanced at an unprecedented pace. Our responsibility to society should guide the use of these new scientific discoveries to better prepare society for the next tsunami. This presentation will focus on the impacts of the 2004 and 2011 tsunamis and new societal expectations accompanying enhanced funding for tsunami research. A list of scientific products, including tsunami hazard maps, tsunami energy scale, real-time tsunami flooding estimates, and real-time current velocities in harbors will be presented to illustrate society's need for relevant, easy to understand tsunami information. Appropriate use of these tsunami scientific products will be presented to demonstrate greater tsunami resilience for tsunami threatened coastlines. Finally, a scientific infrastructure is proposed to ensure that these products are both scientifically sound and represent today's best practices to protect the scientific integrity of the products as well as the safety of coastal residents.

  20. The Redwood Coast Tsunami Work Group: a unique organization promoting earthquake and tsunami resilience on California's North Coast

    NASA Astrophysics Data System (ADS)

    Dengler, L.; Henderson, C.; Larkin, D.; Nicolini, T.; Ozaki, V.

    2012-12-01

    concerns about tsunami hazard signs. Over the seventeen-year period covered by the surveys, the percent with houses secured to foundations has increased from 58 to 84 percent, respondents aware of a local tsunami hazard increased from 51 to 89 percent and knowing what the Cascadia subduction zone is from 16 to 57 percent. In 2009, the RCTWG was recognized by the Western States Seismic Policy Council (WSSPC) with an award for innovation and in 2010, the RCTWG-sponsored class "Living on Shaky Ground" was awarded WSSPC's overall Award in Excellence. The RCTWG works closely with CGS and Cal EMA on a number of projects including tsunami mapping, evacuation zone planning, siren policy, tsunami safety for boaters, and public education messaging. Current projects include working with CGS to develop a "playbook" tsunami mapping product to illustrate the expected effects from a range of tsunami source events and assist local governments in focusing future response actions to reflect the range expected impacts from distant source events. Preparedness efforts paid off on March 11, 2011 when a tsunami warning was issued for the region and significant damage occurred in harbor regions of Del Norte County and Mendocino County. Full-scale evacuations were carried out in a coordinated manner and the majority of the commercial fishing fleet in Crescent City was able to exit the harbor before the tsunami arrived.

  1. U.S. Tsunami Information technology (TIM) Modernization: Performance Assessment of Tsunamigenic Earthquake Discrimination System

    NASA Astrophysics Data System (ADS)

    Hagerty, M. T.; Lomax, A.; Hellman, S. B.; Whitmore, P.; Weinstein, S.; Hirshorn, B. F.; Knight, W. R.

    2015-12-01

    Tsunami warning centers must rapidly decide whether an earthquake is likely to generate a destructive tsunami in order to issue a tsunami warning quickly after a large event. For very large events (Mw > 8 or so), magnitude and location alone are sufficient to warrant an alert. However, for events of smaller magnitude (e.g., Mw ~ 7.5), particularly for so-called "tsunami earthquakes", magnitude alone is insufficient to issue an alert and other measurements must be rapidly made and used to assess tsunamigenic potential. The Tsunami Information technology Modernization (TIM) is a National Oceanic and Atmospheric Administration (NOAA) project to update and standardize the earthquake and tsunami monitoring systems currently employed at the U.S. Tsunami Warning Centers in Ewa Beach, Hawaii (PTWC) and Palmer, Alaska (NTWC). We (ISTI) are responsible for implementing the seismic monitoring components in this new system, including real-time seismic data collection and seismic processing. The seismic data processor includes a variety of methods aimed at real-time discrimination of tsunamigenic events, including: Mwp, Me, slowness (Theta), W-phase, mantle magnitude (Mm), array processing and finite-fault inversion. In addition, it contains the ability to designate earthquake scenarios and play the resulting synthetic seismograms through the processing system. Thus, it is also a convenient tool that integrates research and monitoring and may be used to calibrate and tune the real-time monitoring system. Here we show results of the automated processing system for a large dataset of subduction zone earthquakes containing recent tsunami earthquakes and we examine the accuracy of the various discrimation methods and discuss issues related to their successful real-time application.

  2. The U.S. National Tsunami Hazard Mitigation Program: Successes in Tsunami Preparedness

    NASA Astrophysics Data System (ADS)

    Whitmore, P.; Wilson, R. I.

    2012-12-01

    Formed in 1995 by Congressional Action, the National Tsunami Hazards Mitigation Program (NTHMP) provides the framework for tsunami preparedness activities in the United States. The Program consists of the 28 U.S. coastal states, territories, and commonwealths (STCs), as well as three Federal agencies: the National Oceanic and Atmospheric Administration (NOAA), the Federal Emergency Management Agency (FEMA), and the United States Geological Survey (USGS). Since its inception, the NTHMP has advanced tsunami preparedness in the United States through accomplishments in many areas of tsunami preparedness: - Coordination and funding of tsunami hazard analysis and preparedness activities in STCs; - Development and execution of a coordinated plan to address education and outreach activities (materials, signage, and guides) within its membership; - Lead the effort to assist communities in meeting National Weather Service (NWS) TsunamiReady guidelines through development of evacuation maps and other planning activities; - Determination of tsunami hazard zones in most highly threatened coastal communities throughout the country by detailed tsunami inundation studies; - Development of a benchmarking procedure for numerical tsunami models to ensure models used in the inundation studies meet consistent, NOAA standards; - Creation of a national tsunami exercise framework to test tsunami warning system response; - Funding community tsunami warning dissemination and reception systems such as sirens and NOAA Weather Radios; and, - Providing guidance to NOAA's Tsunami Warning Centers regarding warning dissemination and content. NTHMP activities have advanced the state of preparedness of United States coastal communities, and have helped save lives and property during recent tsunamis. Program successes as well as future plans, including maritime preparedness, are discussed.

  3. Tsunami warnings: Understanding in Hawai'i

    USGS Publications Warehouse

    Gregg, Chris E.; Houghton, Bruce F.; Paton, Douglas; Johnston, David M.; Swanson, D.A.; Yanagi, B.S.

    2007-01-01

    The devastating southeast Asian tsunami of December 26, 2004 has brought home the destructive consequences of coastal hazards in an absence of effective warning systems. Since the 1946 tsunami that destroyed much of Hilo, Hawai'i, a network of pole mounted sirens has been used to provide an early public alert of future tsunamis. However, studies in the 1960s showed that understanding of the meaning of siren soundings was very low and that ambiguity in understanding had contributed to fatalities in the 1960 tsunami that again destroyed much of Hilo. The Hawaiian public has since been exposed to monthly tests of the sirens for more than 25 years and descriptions of the system have been widely published in telephone books for at least 45 years. However, currently there remains some uncertainty in the level of public understanding of the sirens and their implications for behavioral response. Here, we show from recent surveys of Hawai'i residents that awareness of the siren tests and test frequency is high, but these factors do not equate with increased understanding of the meaning of the siren, which remains disturbingly low (13%). Furthermore, the length of time people have lived in Hawai'i is not correlated systematically with understanding of the meaning of the sirens. An additional issue is that warning times for tsunamis gene rated locally in Hawai'i will be of the order of minutes to tens of minutes and limit the immediate utility of the sirens. Natural warning signs of such tsunamis may provide the earliest warning to residents. Analysis of a survey subgroup from Hilo suggests that awareness of natural signs is only moderate, and a majority may expect notification via alerts provided by official sources. We conclude that a major change is needed in tsunami education, even in Hawai'i, to increase public understanding of, and effective response to, both future official alerts and natural warning signs of future tsunamis. ?? Springer 2006.

  4. What Causes Tsunamis?

    ERIC Educational Resources Information Center

    Mogil, H. Michael

    2005-01-01

    On December 26, 2004, a disastrous tsunami struck many parts of South Asia. The scope of this disaster has resulted in an outpouring of aid throughout the world and brought attention to the science of tsunamis. "Tsunami" means "harbor wave" in Japanese, and the Japanese have a long history of tsunamis. The word…

  5. Historical tsunami in the Azores archipelago (Portugal)

    NASA Astrophysics Data System (ADS)

    Andrade, C.; Borges, P.; Freitas, M. C.

    2006-08-01

    -information essential for more precisely estimating the average tsunami recurrence rate for the Azores over a longer period. A present-day occurrence of a moderate to intense tsunami (i.e., the size of the 1755 event) would produce societal disruption and economic loss orders of magnitudes greater than those of previous events in Azorean history. To reduce risk from future tsunami, comprehensive assessment of tsunami hazards and the preparation of hazards-zonation maps are needed to guide governmental decisions on issues of prudent land-use planning, public education and emergency management.

  6. Statistical Analysis of Tsunami Variability

    NASA Astrophysics Data System (ADS)

    Zolezzi, Francesca; Del Giudice, Tania; Traverso, Chiara; Valfrè, Giulio; Poggi, Pamela; Parker, Eric J.

    2010-05-01

    similar to that seen in ground motion attenuation correlations used for seismic hazard assessment. The second issue was intra-event variability. This refers to the differences in tsunami wave run-up along a section of coast during a single event. Intra-event variability investigated directly considering field observations. The tsunami events used in the statistical evaluation were selected on the basis of the completeness and reliability of the available data. Tsunami considered for the analysis included the recent and well surveyed tsunami of Boxing Day 2004 (Great Indian Ocean Tsunami), Java 2006, Okushiri 1993, Kocaeli 1999, Messina 1908 and a case study of several historic events in Hawaii. Basic statistical analysis was performed on the field observations from these tsunamis. For events with very wide survey regions, the run-up heights have been grouped in order to maintain a homogeneous distance from the source. Where more than one survey was available for a given event, the original datasets were maintained separately to avoid combination of non-homogeneous data. The observed run-up measurements were used to evaluate the minimum, maximum, average, standard deviation and coefficient of variation for each data set. The minimum coefficient of variation was 0.12 measured for the 2004 Boxing Day tsunami at Nias Island (7 data) while the maximum is 0.98 for the Okushiri 1993 event (93 data). The average coefficient of variation is of the order of 0.45.

  7. Tsunamis

    MedlinePlus

    A tsunami is a series of huge ocean waves created by an underwater disturbance. Causes include earthquakes, landslides, volcanic ... space that strike the surface of Earth. A tsunami can move hundreds of miles per hour in ...

  8. Seismically generated tsunamis.

    PubMed

    Arcas, Diego; Segur, Harvey

    2012-04-13

    People around the world know more about tsunamis than they did 10 years ago, primarily because of two events: a tsunami on 26 December 2004 that killed more than 200,000 people around the shores of the Indian Ocean; and an earthquake and tsunami off the coast of Japan on 11 March 2011 that killed nearly 15,000 more and triggered a nuclear accident, with consequences that are still unfolding. This paper has three objectives: (i) to summarize our current knowledge of the dynamics of tsunamis; (ii) to describe how that knowledge is now being used to forecast tsunamis; and (iii) to suggest some policy changes that might protect people better from the dangers of future tsunamis.

  9. Numerical experiment on tsunami deposit distribution process by using tsunami sediment transport model in historical tsunami event of megathrust Nankai trough earthquake

    NASA Astrophysics Data System (ADS)

    Imai, K.; Sugawara, D.; Takahashi, T.

    2017-12-01

    A large flow caused by tsunami transports sediments from beach and forms tsunami deposits in land and coastal lakes. A tsunami deposit has been found in their undisturbed on coastal lakes especially. Okamura & Matsuoka (2012) found some tsunami deposits in the field survey of coastal lakes facing to the Nankai trough, and tsunami deposits due to the past eight Nankai Trough megathrust earthquakes they identified. The environment in coastal lakes is stably calm and suitable for tsunami deposits preservation compared to other topographical conditions such as plains. Therefore, there is a possibility that the recurrence interval of megathrust earthquakes and tsunamis will be discussed with high resolution. In addition, it has been pointed out that small events that cannot be detected in plains could be separated finely (Sawai, 2012). Various aspects of past tsunami is expected to be elucidated, in consideration of topographical conditions of coastal lakes by using the relationship between the erosion-and-sedimentation process of the lake bottom and the external force of tsunami. In this research, numerical examination based on tsunami sediment transport model (Takahashi et al., 1999) was carried out on the site Ryujin-ike pond of Ohita, Japan where tsunami deposit was identified, and deposit migration analysis was conducted on the tsunami deposit distribution process of historical Nankai Trough earthquakes. Furthermore, examination of tsunami source conditions is possibly investigated by comparison studies of the observed data and the computation of tsunami deposit distribution. It is difficult to clarify details of tsunami source from indistinct information of paleogeographical conditions. However, this result shows that it can be used as a constraint condition of the tsunami source scale by combining tsunami deposit distribution in lakes with computation data.

  10. Implementation of the TsunamiReady Supporter Program in Puerto Rico

    NASA Astrophysics Data System (ADS)

    Flores Hots, V. E.; Vanacore, E. A.; Gonzalez Ruiz, W.; Gomez, G.

    2016-12-01

    The Puerto Rico Seismic Network (PRSN) manages the PR Tsunami Program (NTHMP), including the TsunamiReady Supporter Program. Through this program the PRSN helps private organizations, businesses, facilities or local government entities to willingly engage in tsunami planning and preparedness that meet some requirements established by the National Weather Service. TsunamiReady Supporter organizations are better prepared to respond to a tsunami emergency, developing a response plan (using a template that PRSN developed and provides), and reinforcing their communication systems including NOAA radio, RSS, and loud speakers to receive and disseminate the alerts issued by the NWS and the Tsunami Warning Centers (TWC). The planning and the communication systems added to the training that PRSN provides to the staff and employees, are intend to help visitors and employees evacuate the tsunami hazard zone to the nearest assembly point minimizing loss of life. Potential TsunamiReady Supporters include, but are not limited to, businesses, schools, churches, hospitals, malls, utilities, museums, beaches, and harbors. However, the traditional targets for such programs are primarily tourism sites and hotels where people unaware of the tsunami hazard may be present. In 2016 the Tsunami Ready Program guided four businesses to achieve the TsunamiReady Supporter recognition. Two facilities were hotels near or inside the evacuation zone. The other facilities were the first and only health center and supermarket to be recognized in the United States and US territories. Based on the experience of preparing the health center and supermarket sites, here we present two case studies of how the TsunamiReady Supporter Program can be applied to non-traditional facilities as well as how the application of this program to such facilities can improve tsunami hazard mitigation. Currently, we are working on expanding the application of this program to non-traditional facilities by working with a

  11. Tsunami forecast by joint inversion of real-time tsunami waveforms and seismic of GPS data: application to the Tohoku 2011 tsunami

    USGS Publications Warehouse

    Yong, Wei; Newman, Andrew V.; Hayes, Gavin P.; Titov, Vasily V.; Tang, Liujuan

    2014-01-01

    Correctly characterizing tsunami source generation is the most critical component of modern tsunami forecasting. Although difficult to quantify directly, a tsunami source can be modeled via different methods using a variety of measurements from deep-ocean tsunameters, seismometers, GPS, and other advanced instruments, some of which in or near real time. Here we assess the performance of different source models for the destructive 11 March 2011 Japan tsunami using model–data comparison for the generation, propagation, and inundation in the near field of Japan. This comparative study of tsunami source models addresses the advantages and limitations of different real-time measurements with potential use in early tsunami warning in the near and far field. The study highlights the critical role of deep-ocean tsunami measurements and rapid validation of the approximate tsunami source for high-quality forecasting. We show that these tsunami measurements are compatible with other real-time geodetic data, and may provide more insightful understanding of tsunami generation from earthquakes, as well as from nonseismic processes such as submarine landslide failures.

  12. Educating and Preparing for Tsunamis in the Caribbean

    NASA Astrophysics Data System (ADS)

    von Hillebrandt-Andrade, C.; Aliaga, B.; Edwards, S.

    2013-12-01

    The Caribbean and Adjacent Regions has a long history of tsunamis and earthquakes. Over the past 500 years, more than 75 tsunamis have been documented in the region by the NOAA National Geophysical Data Center. Just since 1842, 3446 lives have been lost to tsunamis; this is more than in the Northeastern Pacific for the same time period. With a population of almost 160 million, over 40 million visitors a year and a heavy concentration of residents, tourists, businesses and critical infrastructure along its shores (especially in the northern and eastern Caribbean), the risk to lives and livelihoods is greater than ever before. The only way to survive a tsunami is to get out of harm's way before the waves strike. In the Caribbean given the relatively short distances from faults, potential submarine landslides and volcanoes to some of the coastlines, the tsunamis are likely to be short fused, so it is imperative that tsunami warnings be issued extremely quickly and people be educated on how to recognize and respond. Nevertheless, given that tsunamis occur infrequently as compared with hurricanes, it is a challenge for them to receive the priority they require in order to save lives when the next one strikes the region. Close cooperation among countries and territories is required for warning, but also for education and public awareness. Geographical vicinity and spoken languages need to be factored in when developing tsunami preparedness in the Caribbean, to make sure citizens receive a clear, reliable and sound science based message about the hazard and the risk. In 2006, in the wake of the Indian Ocean tsunami and after advocating without success for a Caribbean Tsunami Warning System since the mid 90's, the Intergovernmental Oceanographic Commission of UNESCO established the Intergovernmental Coordination Group for the Tsunami and other Coastal Hazards Warning System for the Caribbean and Adjacent Regions (CARIBE EWS). Its purpose is to advance an end to end tsunami

  13. Developing Tsunami Evacuation Plans, Maps, And Procedures: Pilot Project in Central America

    NASA Astrophysics Data System (ADS)

    Arcos, N. P.; Kong, L. S. L.; Arcas, D.; Aliaga, B.; Coetzee, D.; Leonard, J.

    2015-12-01

    In the End-to-End tsunami warning chain, once a forecast is provided and a warning alert issued, communities must know what to do and where to go. The 'where to' answer would be reliable and practical community-level tsunami evacuation maps. Following the Exercise Pacific Wave 2011, a questionnaire was sent to the 46 Member States of Pacific Tsunami Warning System (PTWS). The results revealed over 42 percent of Member States lacked tsunami mass coastal evacuation plans. Additionally, a significant gap in mapping was exposed as over 55 percent of Member States lacked tsunami evacuation maps, routes, signs and assembly points. Thereby, a significant portion of countries in the Pacific lack appropriate tsunami planning and mapping for their at-risk coastal communities. While a variety of tools exist to establish tsunami inundation areas, these are inconsistent while a methodology has not been developed to assist countries develop tsunami evacuation maps, plans, and procedures. The International Tsunami Information Center (ITIC) and partners is leading a Pilot Project in Honduras demonstrating that globally standardized tools and methodologies can be applied by a country, with minimal tsunami warning and mitigation resources, towards the determination of tsunami inundation areas and subsequently community-owned tsunami evacuation maps and plans for at-risk communities. The Pilot involves a 1- to 2-year long process centered on a series of linked tsunami training workshops on: evacuation planning, evacuation map development, inundation modeling and map creation, tsunami warning & emergency response Standard Operating Procedures (SOPs), and conducting tsunami exercises (including evacuation). The Pilot's completion is capped with a UNESCO/IOC document so that other countries can replicate the process in their tsunami-prone communities.

  14. The One-Meter Criterion for Tsunami Warning: Time for a Reevaluation?

    NASA Astrophysics Data System (ADS)

    Fryer, G. J.; Weinstein, S.

    2013-12-01

    The U.S. tsunami warning centers issue warnings when runup is anticipated to exceed one meter. The origins of the one-meter criterion are unclear, though Whitmore, et al (2008) showed from tsunami history that one meter is roughly the threshold above which damage occurs. Recent experiences in Hawaii, however, suggest that the threshold could be raised. Tsunami Warnings were issued for 2010 Chile, 2011 Tohoku, and 2012 Haida Gwaii tsunamis; each exceeded one meter runup somewhere in the State. Evacuation, however, was necessary only in 2011, and even then onshore damage (as opposed to damage from currents) occurred only where runup exceeded 1.5m. During both Chile and Haida Gwaii tsunamis the existing criteria led to unnecessary evacuation. Maximum runup during the Chile tsunami was 1.1m at Hilo's Wailoa Boat Harbor, while the Haida Gwaii tsunami peaked at 1.2m at Honouliwai Bay on Molokai. Both tsunamis caused only minor damage and minimal flooding; in both cases a Tsunami Advisory (i.e., there is no need to evacuate, but stay off the beach and out of the water) would have been adequate. The Advisory was originally developed as an ad hoc response to the mildly threatening 2006 Kuril tsunami and has since been formalized as the product we issue when maximum runup is expected to be 0.3-1.0 m. At the time it was introduced, however, there was no discussion that this new low-level warning might allow the criterion for Tsunami Warning itself to be adjusted. We now suggest that the divide between Advisory and Warning be raised from 1.0 to something greater, possibly 1.2m. If the warning threshold were raised to 1.2m, the over-warning for the Chile tsunami still could not have been avoided. Models calibrated against DART data consistently forecast runup just over 1.2m for that event. For Haida Gwaii, adjusting the models to match the DART data increased the forecast runup to almost 2m, which again meant a warning, though in retrospect we should have been skeptical. The

  15. Use of Advanced Tsunami Hazard Assessment Techniques and Tsunami Source Characterizations in U.S. and International Nuclear Regulatory Activities

    NASA Astrophysics Data System (ADS)

    Kammerer, A. M.; Godoy, A. R.

    2009-12-01

    In response to the 2004 Indian Ocean Tsunami, as well as the anticipation of the submission of license applications for new nuclear facilities, the United States Nuclear Regulatory Commission (US NRC) initiated a long-term research program to improve understanding of tsunami hazard levels for nuclear power plants and other coastal facilities in the United States. To undertake this effort, the US NRC organized a collaborative research program jointly undertaken with researchers at the United States Geological Survey (USGS) and the National Oceanic and Atmospheric Administration (NOAA) for the purpose of assessing tsunami hazard on the Atlantic and Gulf Coasts of the United States. This study identified and modeled both seismic and landslide tsunamigenic sources in the near- and far-field. The results from this work are now being used directly as the basis for the review of tsunami hazard at potential nuclear plant sites. This application once again shows the importance that the earth sciences can play in addressing issues of importance to society. Because the Indian Ocean Tsunami was a global event, a number of cooperative international activities have also been initiated within the nuclear community. The results of US efforts are being incorporated into updated regulatory guidance for both the U.S. Nuclear Regulatory Commission and the United Nation’s International Atomic Energy Agency (IAEA). Coordinated efforts are underway to integrate state-of-the art tsunami warning tools developed by NOAA into NRC and IAEA activities. The goal of the warning systems project is to develop automated protocols that allow scientists at these agencies to have up-to-the minute user-specific information in hand shortly after a potential tsunami has been identified by the US Tsunami Warning System. Lastly, USGS and NOAA scientists are assisting the NRC and IAEA in a special Extra-Budgetary Program (IAEA EBP) on tsunami being coordinated by the IAEA’s International Seismic Safety

  16. Marin Tsunami (video)

    USGS Publications Warehouse

    Filmed and edited by: Loeffler, Kurt; Gesell, Justine

    2010-01-01

    Tsunamis are a constant threat to the coasts of our world. Although tsunamis are infrequent along the West coast of the United States, it is possible and necessary to prepare for potential tsunami hazards to minimize loss of life and property. Community awareness programs are important, as they strive to create an informed society by providing education and training. The Marin coast could be struck by a tsunami. Whether you live in Marin County, visit the beaches, or rent or own a home near the coast, it is vital to understand the tsunami threat and take preparation seriously. Marin Tsunami tells the story of what several West Marin communities are doing to be prepared. This video was produced by the US Geological Survey (USGS) in cooperation with the Marin Office of Emergency Services.

  17. Effect of Variable Manning Coefficients on Tsunami Inundation

    NASA Astrophysics Data System (ADS)

    Barberopoulou, A.; Rees, D.

    2017-12-01

    Numerical simulations are commonly used to help estimate tsunami hazard, improve evacuation plans, issue or cancel tsunami warnings, inform forecasting and hazard assessments and have therefore become an integral part of hazard mitigation among the tsunami community. Many numerical codes exist for simulating tsunamis, most of which have undergone extensive benchmarking and testing. Tsunami hazard or risk assessments employ these codes following a deterministic or probabilistic approach. Depending on the scope these studies may or may not consider uncertainty in the numerical simulations, the effects of tides, variable friction or estimate financial losses, none of which are necessarily trivial. Distributed manning coefficients, the roughness coefficients used in hydraulic modeling, are commonly used in simulating both riverine and pluvial flood events however, their use in tsunami hazard assessments is primarily part of limited scope studies and for the most part, not a standard practice. For this work, we investigate variations in manning coefficients and their effects on tsunami inundation extent, pattern and financial loss. To assign manning coefficients we use land use maps that come from the New Zealand Land Cover Database (LCDB) and more recent data from the Ministry of the Environment. More than 40 classes covering different types of land use are combined into major classes such as cropland, grassland and wetland representing common types of land use in New Zealand, each of which is assigned a unique manning coefficient. By utilizing different data sources for variable manning coefficients, we examine the impact of data sources and classification methodology on the accuracy of model outputs.

  18. Tsunami Hazard in the Algerian Coastline

    NASA Astrophysics Data System (ADS)

    Amir, L. A.

    2008-05-01

    The Algerian coastline is located at the border between the African and the Eurasian tectonic plates. The collision between these two plates is approximately 4 to 7 mm/yr. The Alps and the tellian Atlas result from this convergence. Historical and present day data show the occurrence of earthquakes with magnitude up to 7 degrees on Richter scale in the northern part of the country. Cities were destroyed and the number of victims reached millions of people. Recently, small seismic waves generated by a destructive earthquake (Epicenter: 36.90N, 3.71E; Mw=6.8; Algeria, 2003, NEIC) were recorded in the French and Spanish coasts. This event raised again the issue of tsunami hazard in western Mediterranean region. For the Algerian study case, the assessment of seismic and tsunami hazard is a matter of great interest because of fast urban development of cities like Algiers. This study aims to provide scientific arguments to help in the elaboration of the Mediterranean tsunami alert program. This is a real complex issue because (1) the western part of the sea is narrow, (2) constructions on the Algerian coastline do not respect safety standards and (3) the seismic hazard is important. The present work is based on a numerical modeling approach. Firstly, a database is created to gather and list information related to seismology, tectonic, abnormal sea level's variations recorded/observed, submarine and coastal topographic data for the western part of the Mediterranean margin. This database helped to propose series of scenario that could trigger tsunami in the Mediterranean sea. Seismic moment, rake and focal depth are the major parameters that constrain the modeling input seismic data. Then, the undersea earthquakes modeling and the seabed deformations are computed with a program adapted from the rngchn code based on Okada's analytic equations. The last task of this work consisted to calculate the initial water surface displacement and simulate the triggered tsunami

  19. In Search of the Largest Possible Tsunami: An Example Following the 2011 Japan Tsunami

    NASA Astrophysics Data System (ADS)

    Geist, E. L.; Parsons, T.

    2012-12-01

    Many tsunami hazard assessments focus on estimating the largest possible tsunami: i.e., the worst-case scenario. This is typically performed by examining historic and prehistoric tsunami data or by estimating the largest source that can produce a tsunami. We demonstrate that worst-case assessments derived from tsunami and tsunami-source catalogs are greatly affected by sampling bias. Both tsunami and tsunami sources are well represented by a Pareto distribution. It is intuitive to assume that there is some limiting size (i.e., runup or seismic moment) for which a Pareto distribution is truncated or tapered. Likelihood methods are used to determine whether a limiting size can be determined from existing catalogs. Results from synthetic catalogs indicate that several observations near the limiting size are needed for accurate parameter estimation. Accordingly, the catalog length needed to empirically determine the limiting size is dependent on the difference between the limiting size and the observation threshold, with larger catalog lengths needed for larger limiting-threshold size differences. Most, if not all, tsunami catalogs and regional tsunami source catalogs are of insufficient length to determine the upper bound on tsunami runup. As an example, estimates of the empirical tsunami runup distribution are obtained from the Miyako tide gauge station in Japan, which recorded the 2011 Tohoku-oki tsunami as the largest tsunami among 51 other events. Parameter estimation using a tapered Pareto distribution is made both with and without the Tohoku-oki event. The catalog without the 2011 event appears to have a low limiting tsunami runup. However, this is an artifact of undersampling. Including the 2011 event, the catalog conforms more to a pure Pareto distribution with no confidence in estimating a limiting runup. Estimating the size distribution of regional tsunami sources is subject to the same sampling bias. Physical attenuation mechanisms such as wave breaking

  20. Correction to “New maps of California to improve tsunami preparedness”

    NASA Astrophysics Data System (ADS)

    Barberopoulou, Aggeliki; Borrero, Jose C.; Uslu, Burak; Kalligeris, Nikos; Goltz, James D.; Wilson, Rick I.; Synolakis, Costas E.

    2009-05-01

    In the 21 April issue (Eos, 90(16), 2009), the article titled “New maps of California to improve tsunami preparedness” contained an error in its Figure 2 caption. Figure 2 is a map of Goleta, a city in Santa Barbara County. Thus, the first sentence of the caption should read, “Newly created tsunami inundation maps for Goleta, a city in Santa Barbara County, Calif., show the city's ‘wet line’ in black, representing the highest probable tsunami runup modeled for the region added to average water levels at high tide.” Eos deeply regrets this error.

  1. Far-field tsunami of 2017 Mw 8.1 Tehuantepec, Mexico earthquake recorded by Chilean tide gauge network: Implications for tsunami warning systems

    NASA Astrophysics Data System (ADS)

    González-Carrasco, J. F.; Benavente, R. F.; Zelaya, C.; Núñez, C.; Gonzalez, G.

    2017-12-01

    The 2017 Mw 8.1, Tehuantepec earthquake generated a moderated tsunami, which was registered in near-field tide gauges network activating a tsunami threat state for Mexico issued by PTWC. In the case of Chile, the forecast of tsunami waves indicate amplitudes less than 0.3 meters above the tide level, advising an informative state of threat, without activation of evacuation procedures. Nevertheless, during sea level monitoring of network we detect wave amplitudes (> 0.3 m) indicating a possible change of threat state. Finally, NTWS maintains informative level of threat based on mathematical filtering analysis of sea level records. After 2010 Mw 8.8, Maule earthquake, the Chilean National Tsunami Warning System (NTWS) has increased its observational capabilities to improve early response. Most important operational efforts have focused on strengthening tide gauge network for national area of responsibility. Furthermore, technological initiatives as Integrated Tsunami Prediction and Warning System (SIPAT) has segmented the area of responsibility in blocks to focus early warning and evacuation procedures on most affected coastal areas, while maintaining an informative state for distant areas of near-field earthquake. In the case of far-field events, NTWS follow the recommendations proposed by Pacific Tsunami Warning Center (PTWC), including a comprehensive monitoring of sea level records, such as tide gauges and DART (Deep-Ocean Assessment and Reporting of Tsunami) buoys, to evaluate the state of tsunami threat in the area of responsibility. The main objective of this work is to analyze the first-order physical processes involved in the far-field propagation and coastal impact of tsunami, including implications for decision-making of NTWS. To explore our main question, we construct a finite-fault model of the 2017, Mw 8.1 Tehuantepec earthquake. We employ the rupture model to simulate a transoceanic tsunami modeled by Neowave2D. We generate synthetic time series at

  2. A culture of tsunami preparedness and applying knowledge from recent tsunamis affecting California

    NASA Astrophysics Data System (ADS)

    Miller, K. M.; Wilson, R. I.

    2012-12-01

    It is the mission of the California Tsunami Program to ensure public safety by protecting lives and property before, during, and after a potentially destructive or damaging tsunami. In order to achieve this goal, the state has sought first to use finite funding resources to identify and quantify the tsunami hazard using the best available scientific expertise, modeling, data, mapping, and methods at its disposal. Secondly, it has been vital to accurately inform the emergency response community of the nature of the threat by defining inundation zones prior to a tsunami event and leveraging technical expertise during ongoing tsunami alert notifications (specifically incoming wave heights, arrival times, and the dangers of strong currents). State scientists and emergency managers have been able to learn and apply both scientific and emergency response lessons from recent, distant-source tsunamis affecting coastal California (from Samoa in 2009, Chile in 2010, and Japan in 2011). Emergency managers must understand and plan in advance for specific actions and protocols for each alert notification level provided by the NOAA/NWS West Coast/Alaska Tsunami Warning Center. Finally the state program has provided education and outreach information via a multitude of delivery methods, activities, and end products while keeping the message simple, consistent, and focused. The goal is a culture of preparedness and understanding of what to do in the face of a tsunami by residents, visitors, and responsible government officials. We provide an update of results and findings made by the state program with support of the National Tsunami Hazard Mitigation Program through important collaboration with other U.S. States, Territories and agencies. In 2009 the California Emergency Management Agency (CalEMA) and the California Geological Survey (CGS) completed tsunami inundation modeling and mapping for all low-lying, populated coastal areas of California to assist local jurisdictions on

  3. Determination of Tsunami Warning Criteria for Current Velocity

    NASA Astrophysics Data System (ADS)

    Chen, R.; Wang, D.

    2015-12-01

    Present Tsunami warning issuance largely depends on an event's predicted wave height and inundation depth. Specifically, a warning is issued if the on-shore wave height is greater than 1m. This project examines whether any consideration should be given to current velocity. We apply the idea of force balance to determine theoretical minimum velocity thresholds for injuring people and damaging properties as a function of wave height. Results show that even at a water depth of less than 1m, a current velocity of 2 m/s is enough to pose a threat to humans and cause potential damage to cars and houses. Next, we employ a 1-dimensional shallow water model to simulate Tsunamis with various amplitudes and an assumed wavelength of 250km. This allows for the profiling of current velocity and wave height behavior as the Tsunamis reach shore. We compare this data against our theoretical thresholds to see if any real world scenarios would be dangerous to people and properties. We conclude that for such Tsunamis, the present warning criteria are effective at protecting people against larger events with amplitude greater than ~0.3m. However, for events with amplitude less than ~0.2m, it is possible to have waves less than 1m with current velocity high enough to endanger humans. Thus, the inclusion of current velocity data would help the present Tsunami warning criteria become more robust and efficient, especially for smaller Tsunami events.

  4. The FASTER Approach: A New Tool for Calculating Real-Time Tsunami Flood Hazards

    NASA Astrophysics Data System (ADS)

    Wilson, R. I.; Cross, A.; Johnson, L.; Miller, K.; Nicolini, T.; Whitmore, P.

    2014-12-01

    In the aftermath of the 2010 Chile and 2011 Japan tsunamis that struck the California coastline, emergency managers requested that the state tsunami program provide more detailed information about the flood potential of distant-source tsunamis well ahead of their arrival time. The main issue is that existing tsunami evacuation plans call for evacuation of the predetermined "worst-case" tsunami evacuation zone (typically at a 30- to 50-foot elevation) during any "Warning" level event; the alternative is to not call an evacuation at all. A solution to provide more detailed information for secondary evacuation zones has been the development of tsunami evacuation "playbooks" to plan for tsunami scenarios of various sizes and source locations. To determine a recommended level of evacuation during a distant-source tsunami, an analytical tool has been developed called the "FASTER" approach, an acronym for factors that influence the tsunami flood hazard for a community: Forecast Amplitude, Storm, Tides, Error in forecast, and the Run-up potential. Within the first couple hours after a tsunami is generated, the National Tsunami Warning Center provides tsunami forecast amplitudes and arrival times for approximately 60 coastal locations in California. At the same time, the regional NOAA Weather Forecast Offices in the state calculate the forecasted coastal storm and tidal conditions that will influence tsunami flooding. Providing added conservatism in calculating tsunami flood potential, we include an error factor of 30% for the forecast amplitude, which is based on observed forecast errors during recent events, and a site specific run-up factor which is calculated from the existing state tsunami modeling database. The factors are added together into a cumulative FASTER flood potential value for the first five hours of tsunami activity and used to select the appropriate tsunami phase evacuation "playbook" which is provided to each coastal community shortly after the forecast

  5. Multiple Solutions of Real-time Tsunami Forecasting Using Short-term Inundation Forecasting for Tsunamis Tool

    NASA Astrophysics Data System (ADS)

    Gica, E.

    2016-12-01

    The Short-term Inundation Forecasting for Tsunamis (SIFT) tool, developed by NOAA Center for Tsunami Research (NCTR) at the Pacific Marine Environmental Laboratory (PMEL), is used in forecast operations at the Tsunami Warning Centers in Alaska and Hawaii. The SIFT tool relies on a pre-computed tsunami propagation database, real-time DART buoy data, and an inversion algorithm to define the tsunami source. The tsunami propagation database is composed of 50×100km unit sources, simulated basin-wide for at least 24 hours. Different combinations of unit sources, DART buoys, and length of real-time DART buoy data can generate a wide range of results within the defined tsunami source. For an inexperienced SIFT user, the primary challenge is to determine which solution, among multiple solutions for a single tsunami event, would provide the best forecast in real time. This study investigates how the use of different tsunami sources affects simulated tsunamis at tide gauge locations. Using the tide gauge at Hilo, Hawaii, a total of 50 possible solutions for the 2011 Tohoku tsunami are considered. Maximum tsunami wave amplitude and root mean square error results are used to compare tide gauge data and the simulated tsunami time series. Results of this study will facilitate SIFT users' efforts to determine if the simulated tide gauge tsunami time series from a specific tsunami source solution would be within the range of possible solutions. This study will serve as the basis for investigating more historical tsunami events and tide gauge locations.

  6. Real-time correction of tsunami site effect by frequency-dependent tsunami-amplification factor

    NASA Astrophysics Data System (ADS)

    Tsushima, H.

    2017-12-01

    For tsunami early warning, I developed frequency-dependent tsunami-amplification factor and used it to design a recursive digital filter that can be applicable for real-time correction of tsunami site response. In this study, I assumed that a tsunami waveform at an observing point could be modeled by convolution of source, path and site effects in time domain. Under this assumption, spectral ratio between offshore and the nearby coast can be regarded as site response (i.e. frequency-dependent amplification factor). If the amplification factor can be prepared before tsunamigenic earthquakes, its temporal convolution to offshore tsunami waveform provides tsunami prediction at coast in real time. In this study, tsunami waveforms calculated by tsunami numerical simulations were used to develop frequency-dependent tsunami-amplification factor. Firstly, I performed numerical tsunami simulations based on nonlinear shallow-water theory from many tsuanmigenic earthquake scenarios by varying the seismic magnitudes and locations. The resultant tsunami waveforms at offshore and the nearby coastal observing points were then used in spectral-ratio analysis. An average of the resulted spectral ratios from the tsunamigenic-earthquake scenarios is regarded as frequency-dependent amplification factor. Finally, the estimated amplification factor is used in design of a recursive digital filter that can be applicable in time domain. The above procedure is applied to Miyako bay at the Pacific coast of northeastern Japan. The averaged tsunami-height spectral ratio (i.e. amplification factor) between the location at the center of the bay and the outside show a peak at wave-period of 20 min. A recursive digital filter based on the estimated amplification factor shows good performance in real-time correction of tsunami-height amplification due to the site effect. This study is supported by Japan Society for the Promotion of Science (JSPS) KAKENHI grant 15K16309.

  7. Probabilistic Tsunami Hazard Analysis

    NASA Astrophysics Data System (ADS)

    Thio, H. K.; Ichinose, G. A.; Somerville, P. G.; Polet, J.

    2006-12-01

    The recent tsunami disaster caused by the 2004 Sumatra-Andaman earthquake has focused our attention to the hazard posed by large earthquakes that occur under water, in particular subduction zone earthquakes, and the tsunamis that they generate. Even though these kinds of events are rare, the very large loss of life and material destruction caused by this earthquake warrant a significant effort towards the mitigation of the tsunami hazard. For ground motion hazard, Probabilistic Seismic Hazard Analysis (PSHA) has become a standard practice in the evaluation and mitigation of seismic hazard to populations in particular with respect to structures, infrastructure and lifelines. Its ability to condense the complexities and variability of seismic activity into a manageable set of parameters greatly facilitates the design of effective seismic resistant buildings but also the planning of infrastructure projects. Probabilistic Tsunami Hazard Analysis (PTHA) achieves the same goal for hazards posed by tsunami. There are great advantages of implementing such a method to evaluate the total risk (seismic and tsunami) to coastal communities. The method that we have developed is based on the traditional PSHA and therefore completely consistent with standard seismic practice. Because of the strong dependence of tsunami wave heights on bathymetry, we use a full waveform tsunami waveform computation in lieu of attenuation relations that are common in PSHA. By pre-computing and storing the tsunami waveforms at points along the coast generated for sets of subfaults that comprise larger earthquake faults, we can efficiently synthesize tsunami waveforms for any slip distribution on those faults by summing the individual subfault tsunami waveforms (weighted by their slip). This efficiency make it feasible to use Green's function summation in lieu of attenuation relations to provide very accurate estimates of tsunami height for probabilistic calculations, where one typically computes

  8. U.S. Tsunami Warning System: Advancements since the 2004 Indian Ocean Tsunami (Invited)

    NASA Astrophysics Data System (ADS)

    Whitmore, P.

    2009-12-01

    The U.S. government embarked on a strengthening program for the U.S. Tsunami Warning System (TWS) in the aftermath of the disastrous 2004 Indian Ocean tsunami. The program was designed to improve several facets of the U.S. TWS, including: upgrade of the coastal sea level network - 16 new stations plus higher transmission rates; expansion of the deep ocean tsunameter network - 7 sites increased to 39; upgrade of seismic networks - both USGS and Tsunami Warning Center (TWC); increase of TWC staff to allow 24x7 coverage at two centers; development of an improved tsunami forecast system; increased preparedness in coastal communities; expansion of the Pacific Tsunami Warning Center facility; and improvement of the tsunami data archive effort at the National Geophysical Data Center. The strengthening program has been completed and has contributed to the many improvements attained in the U.S. TWS since 2004. Some of the more significant enhancements to the program are: the number of sea level and seismic sites worldwide available to the TWCs has more than doubled; the TWC areas-of-responsibility expanded to include the U.S./Canadian Atlantic coasts, Indian Ocean, Caribbean Sea, Gulf of Mexico, and U.S. Arctic coast; event response time decreased by approximately one-half; product accuracy has improved; a tsunami forecast system developed by NOAA capable of forecasting inundation during an event has been delivered to the TWCs; warning areas are now defined by pre-computed or forecasted threat versus distance or travel time, significantly reducing the amount of coast put in a warning; new warning dissemination techniques have been implemented to reach a broader audience in less time; tsunami product content better reflects the expected impact level; the number of TsunamiReady communities has quadrupled; and the historical data archive has increased in quantity and accuracy. In addition to the strengthening program, the U.S. National Tsunami Hazard Mitigation Program (NTHMP

  9. Community participation in tsunami early warning system in Pangandaran town

    NASA Astrophysics Data System (ADS)

    Hadian, Sapari D.; Khadijah, Ute Lies Siti; Saepudin, Encang; Budiono, Agung; Yuliawati, Ayu Krishna

    2017-07-01

    Disaster-resilient communities are communities capable of anticipating and minimizing destructive forces through adaptation. Disaster is an event very close to the people of Indonesia, especially in the small tourism town of Pangadaran located at West Java, Indonesia. On July 17, 2006, the town was hit by a Mw 7.8 earthquake and tsunami that effected over 300 km of the coastline, where the community suffered losses in which more than 600 people were killed, with run up heights exceeding 20 m. The devastation of the tsunami have made the community more alert and together with the local government and other stakeholder develop an Early Warning System for Tsunami. The study is intended to discover issues on tsunami Early Warning System (EWS), disaster risk reduction measures taken and community participation. The research method used is descriptive and explanatory research. The study describe the Tsunami EWS and community based Disaster Risk Reduction in Pangandaran, the implementation of Tsunami alert/EWS in disaster preparedness and observation of community participation in EWS. Data were gathered by secondary data collection, also primary data through interviews, focus group discussions and field observations. Research resulted in a description of EWS implementation, community participation and recommendation to reduce disaster risk in Pangandaran.

  10. Our fingerprint in tsunami deposits - anthropogenic markers as a new tsunami identification tool

    NASA Astrophysics Data System (ADS)

    Bellanova, P.; Schwarzbauer, J.; Reicherter, K. R.; Jaffe, B. E.; Szczucinski, W.

    2016-12-01

    Several recent geochemical studies have focused on the use of inorganic indicators to evaluate a tsunami origin of sediment in the geologic record. However, tsunami transport not only particulate sedimentary material from marine to terrestrial areas (and vice versa), but also associated organic material. Thus, tsunami deposits may be characterized by organic-geochemical parameters. Recently increased attention has been given to the use of natural organic substances (biomarkers) to identify tsunami deposits. To date no studies have been made investigating anthropogenic organic indicators in recent tsunami deposits. Anthropogenic organic markers are more sensitive and reliable markers compared to other tracers due to their specific molecular structural properties and higher source specificity. In this study we evaluate whether anthropogenic substances are useful indicators for determining whether an area has been inundated by a tsunami. We chose the Sendai Plain and Sanemoura and Oppa Bays, Japan, as study sites because the destruction of infrastructure by flooding released environmental pollutants (e.g., fuels, fats, tarmac, plastics, heavy metals, etc.) contaminating large areas of the coastal zone during the 2011 Tohoku-oki tsunami. Organic compounds from the tsunami deposits are extracted from tsunami sediment and compared with the organic signature of unaffected pre-tsunami samples using gas chromatography-mass spectrometry (GS/MS) based analyses. For the anthropogenic markers, compounds such as soil derived pesticides (DDT), source specific PAHs, halogenated aromatics from industrial sources were detected and used to observe the inland extent and the impact of the Tohoku-oki tsunami on the coastal region around Sendai.

  11. Airburst-Generated Tsunamis

    NASA Astrophysics Data System (ADS)

    Berger, Marsha; Goodman, Jonathan

    2018-04-01

    This paper examines the questions of whether smaller asteroids that burst in the air over water can generate tsunamis that could pose a threat to distant locations. Such airburst-generated tsunamis are qualitatively different than the more frequently studied earthquake-generated tsunamis, and differ as well from tsunamis generated by asteroids that strike the ocean. Numerical simulations are presented using the shallow water equations in several settings, demonstrating very little tsunami threat from this scenario. A model problem with an explicit solution that demonstrates and explains the same phenomena found in the computations is analyzed. We discuss the question of whether compressibility and dispersion are important effects that should be included, and show results from a more sophisticated model problem using the linearized Euler equations that begins to addresses this.

  12. Tsunami Source Identification on the 1867 Tsunami Event Based on the Impact Intensity

    NASA Astrophysics Data System (ADS)

    Wu, T. R.

    2014-12-01

    The 1867 Keelung tsunami event has drawn significant attention from people in Taiwan. Not only because the location was very close to the 3 nuclear power plants which are only about 20km away from the Taipei city but also because of the ambiguous on the tsunami sources. This event is unique in terms of many aspects. First, it was documented on many literatures with many languages and with similar descriptions. Second, the tsunami deposit was discovered recently. Based on the literatures, earthquake, 7-meter tsunami height, volcanic smoke, and oceanic smoke were observed. Previous studies concluded that this tsunami was generated by an earthquake with a magnitude around Mw7.0 along the Shanchiao Fault. However, numerical results showed that even a Mw 8.0 earthquake was not able to generate a 7-meter tsunami. Considering the steep bathymetry and intense volcanic activities along the Keelung coast, one reasonable hypothesis is that different types of tsunami sources were existed, such as the submarine landslide or volcanic eruption. In order to confirm this scenario, last year we proposed the Tsunami Reverse Tracing Method (TRTM) to find the possible locations of the tsunami sources. This method helped us ruling out the impossible far-field tsunami sources. However, the near-field sources are still remain unclear. This year, we further developed a new method named 'Impact Intensity Analysis' (IIA). In the IIA method, the study area is divided into a sequence of tsunami sources, and the numerical simulations of each source is conducted by COMCOT (Cornell Multi-grid Coupled Tsunami Model) tsunami model. After that, the resulting wave height from each source to the study site is collected and plotted. This method successfully helped us to identify the impact factor from the near-field potential sources. The IIA result (Fig. 1) shows that the 1867 tsunami event was a multi-source event. A mild tsunami was trigged by a Mw7.0 earthquake, and then followed by the submarine

  13. Contribution of Asteroid Generated Tsunami to the Impact Hazard

    NASA Technical Reports Server (NTRS)

    Morrison, David; Venkatapathy, Ethiraj

    2017-01-01

    The long-standing uncertainty about the importance of asteroid-generated tsunami was addressed at a workshop in August 2016, co-sponsored by NASA and NOAA. Experts from NASA, NOAA, the DoE tri-labs (LLNL, SNL, and LANL), DHS, FEMA, and academia addressed the hazard of tsunami created by asteroid impacts, focusing primarily on NEAs with diameter less than 250m. Participants jointly identified key issues and shared information for nearly a year to coordinate their results for discussion at the workshop. They used modern computational tools to examine 1) Near-field wave generation by the impact; 2) Long-distance wave propagation; 3) Damage from coastal run-up and inundation, and associated hazard. The workshop resulted in broad consensus that the asteroid impact tsunami threat is not as great as previously thought.

  14. Tsunami Preparedness in Washington (video)

    USGS Publications Warehouse

    Loeffler, Kurt; Gesell, Justine

    2010-01-01

    Tsunamis are a constant threat to the coasts of our world. Although tsunamis are infrequent along the West coast of the United States, it is possible and necessary to prepare for potential tsunami hazards to minimize loss of life and property. Community awareness programs are important, as they strive to create an informed society by providing education and training. This video about tsunami preparedness in Washington distinguishes between a local tsunami and a distant event and focus on the specific needs of this region. It offers guidelines for correct tsunami response and community preparedness from local emergency managers, first-responders, and leading experts on tsunami hazards and warnings, who have been working on ways of making the tsunami affected regions safer for the people and communities on a long-term basis. This video was produced by the US Geological Survey (USGS) in cooperation with Washington Emergency Management Division (EMD) and with funding by the National Tsunami Hazard Mitigation Program.

  15. New Theory for Tsunami Propagation and Estimation of Tsunami Source Parameters

    NASA Astrophysics Data System (ADS)

    Mindlin, I. M.

    2007-12-01

    In numerical studies based on the shallow water equations for tsunami propagation, vertical accelerations and velocities within the sea water are neglected, so a tsunami is usually supposed to be produced by an initial free surface displacement in the initially still sea. In the present work, new theory for tsunami propagation across the deep sea is discussed, that accounts for the vertical accelerations and velocities. The theory is based on the solutions for the water surface displacement obtained in [Mindlin I.M. Integrodifferential equations in dynamics of a heavy layered liquid. Moscow: Nauka*Fizmatlit, 1996 (Russian)]. The solutions are valid when horizontal dimensions of the initially disturbed area in the sea surface are much larger than the vertical displacement of the surface, which applies to the earthquake tsunamis. It is shown that any tsunami is a combination of specific basic waves found analytically (not superposition: the waves are nonlinear), and consequently, the tsunami source (i.e., the initially disturbed body of water) can be described by the numerable set of the parameters involved in the combination. Thus the problem of theoretical reconstruction of a tsunami source is reduced to the problem of estimation of the parameters. The tsunami source can be modelled approximately with the use of a finite number of the parameters. Two-parametric model is discussed thoroughly. A method is developed for estimation of the model's parameters using the arrival times of the tsunami at certain locations, the maximum wave-heights obtained from tide gauge records at the locations, and the distances between the earthquake's epicentre and each of the locations. In order to evaluate the practical use of the theory, four tsunamis of different magnitude occurred in Japan are considered. For each of the tsunamis, the tsunami energy (E below), the duration of the tsunami source formation T, the maximum water elevation in the wave originating area H, mean radius of

  16. Characteristics of Recent Tsunamis

    NASA Astrophysics Data System (ADS)

    Sweeney, A. D.; Eble, M. C.; Mungov, G.

    2017-12-01

    How long do tsunamis impact a coast? How often is the largest tsunami wave the first to arrive? How do measurements in the far field differ from those made close to the source? Extending the study of Eblé et al. (2015) who showed the prevalence of a leading negative phase, we assimilate and summarize characteristics of known tsunami events recorded on bottom pressure and coastal water level stations throughout the world oceans to answer these and other questions. An extensive repository of data from the National Centers for Environmental Information (NCEI) archive for tsunami-ready U.S. tide gauge stations, housing more than 200 sites going back 10 years are utilized as are some of the more 3000 marigrams (analog or paper tide gauge records) for tsunami events. The focus of our study is on five tsunamis generated by earthquakes: 2010 Chile (Maule), 2011 East Japan (Tohoku), 2012 Haida Gwaii, 2014 Chile (Iquique), and 2015 Central Chile and one meteorologically generated tsunami on June 2013 along the U.S. East Coast and Caribbean. Reference: Eblé, M., Mungov, G. & Rabinovich, A. On the Leading Negative Phase of Major 2010-2014 Tsunamis. Pure Appl. Geophys. (2015) 172: 3493. https://doi.org/10.1007/s00024-015-1127-5

  17. Development of Real-time Tsunami Inundation Forecast Using Ocean Bottom Tsunami Networks along the Japan Trench

    NASA Astrophysics Data System (ADS)

    Aoi, S.; Yamamoto, N.; Suzuki, W.; Hirata, K.; Nakamura, H.; Kunugi, T.; Kubo, T.; Maeda, T.

    2015-12-01

    In the 2011 Tohoku earthquake, in which huge tsunami claimed a great deal of lives, the initial tsunami forecast based on hypocenter information estimated using seismic data on land were greatly underestimated. From this lesson, NIED is now constructing S-net (Seafloor Observation Network for Earthquakes and Tsunamis along the Japan Trench) which consists of 150 ocean bottom observatories with seismometers and pressure gauges (tsunamimeters) linked by fiber optic cables. To take full advantage of S-net, we develop a new methodology of real-time tsunami inundation forecast using ocean bottom observation data and construct a prototype system that implements the developed forecasting method for the Pacific coast of Chiba prefecture (Sotobo area). We employ a database-based approach because inundation is a strongly non-linear phenomenon and its calculation costs are rather heavy. We prepare tsunami scenario bank in advance, by constructing the possible tsunami sources, and calculating the tsunami waveforms at S-net stations, coastal tsunami heights and tsunami inundation on land. To calculate the inundation for target Sotobo area, we construct the 10-m-mesh precise elevation model with coastal structures. Based on the sensitivities analyses, we construct the tsunami scenario bank that efficiently covers possible tsunami scenarios affecting the Sotobo area. A real-time forecast is carried out by selecting several possible scenarios which can well explain real-time tsunami data observed at S-net from tsunami scenario bank. An advantage of our method is that tsunami inundations are estimated directly from the actual tsunami data without any source information, which may have large estimation errors. In addition to the forecast system, we develop Web services, APIs, and smartphone applications and brush them up through social experiments to provide the real-time tsunami observation and forecast information in easy way to understand toward urging people to evacuate.

  18. Mega Tsunamis of the World Ocean and Their Implication for the Tsunami Hazard Assessment

    NASA Astrophysics Data System (ADS)

    Gusiakov, V. K.

    2014-12-01

    Mega tsunamis are the strongest tsunamigenic events of tectonic origin that are characterized by run-up heights up to 40-50 m measured along a considerable part of the coastline (up to 1000 km). One of the most important features of mega-tsunamis is their ability to cross the entire oceanic basin and to cause an essential damage to its opposite coast. Another important feature is their ability to penetrate into the marginal seas (like the Sea of Okhotsk, the Bering Sea) and cause dangerous water level oscillations along the parts of the coast, which are largely protected by island arcs against the impact of the strongest regional tsunamis. Among all known historical tsunamis (nearly 2250 events during the last 4000 years) they represent only a small fraction (less than 1%) however they are responsible for more than half the total tsunami fatalities and a considerable part of the overall tsunami damage. The source of all known mega tsunamis is subduction submarine earthquakes with magnitude 9.0 or higher having a return period from 200-300 years to 1000-1200 years. The paper presents a list of 15 mega tsunami events identified so far in historical catalogs with their basic source parameters, near-field and far-field impact effects and their generation and propagation features. The far-field impact of mega tsunamis is largely controlled by location and orientation of their earthquake source as well as by deep ocean bathymetry features. We also discuss the problem of the long-term tsunami hazard assessment when the occurrence of mega tsunamis is taken into account.

  19. CAT: the INGV Tsunami Alert Center

    NASA Astrophysics Data System (ADS)

    Michelini, A.

    2014-12-01

    After the big 2004 Sumatra earthquake, the tsunami threat posed by large earthquakes occurring in the Mediterranean sea was formally taken into account by many countries around the Mediterranean basin. In the past, large earthquakes that originated significant tsunamis occurred nearly once per century (Maramai et al., 2014, Annals of Geophysics). The Intergovernmental Oceanographic Commission of UNESCO (IOC-UNESCO) received a mandate from the international community to coordinate the establishment of the ICG/NEAMTWS (http://neamtic.ioc-unesco.org) through Resolution IOC-XXIII-14. Since then, several countries (France, Turkey, Greece) have started operating as candidate Tsunami Watch Provider (cTWP) in the Mediterranean. Italy started operating as cTWP on October 1st, 2014. The Italian cTWP is formed by INGV ("Istituto Nazionale di Geofisica e Vulcanologia)", DPC ("Dipartimento di Protezione Civile") and ISPRA ("Istituto Superiore per la Protezione e la Ricerca Ambientale"). INGV is in charge of issuing the alert for potentially tsunamigenic earthquakes, ISPRA provides the sea level recordings and DPC is in charge of disseminating the alert. INGV established the tsunami alert center (CAT, "Centro di Allerta Tsunami") at the end of 2013. CAT is co-located with the INGV national seismic surveillance center operated since many years. In this work, we show the technical and personnel organization of CAT, its response to recent earthquakes, and the new procedures under development for implementation. (*) INGV-CAT WG: Amato A., Basili R., Bernardi F., Bono A., Danecek P., De Martini P.M., Govoni A., Graziani L., Lauciani V., Lomax, A., Lorito S., Maramai A., Mele F., Melini D., Molinari I., Nostro C., Piatanesi A., Pintore S., Quintiliani M., Romano F., Selva J., Selvaggi G., Sorrentino D., Tonini R.

  20. Tsunami Preparedness in California (videos)

    USGS Publications Warehouse

    Filmed and edited by: Loeffler, Kurt; Gesell, Justine

    2010-01-01

    Tsunamis are a constant threat to the coasts of our world. Although tsunamis are infrequent along the West coast of the United States, it is possible and necessary to prepare for potential tsunami hazards to minimize loss of life and property. Community awareness programs are important, as they strive to create an informed society by providing education and training. These videos about tsunami preparedness in California distinguish between a local tsunami and a distant event and focus on the specific needs of each region. They offer guidelines for correct tsunami response and community preparedness from local emergency managers, first-responders, and leading experts on tsunami hazards and warnings, who have been working on ways of making the tsunami affected regions safer for the people and communities on a long-term basis. These videos were produced by the U.S. Geological Survey (USGS) in cooperation with the California Emergency Management Agency (CalEMA) and Pacific Gas and Electric Company (PG&E).

  1. Tsunami Preparedness in Oregon (video)

    USGS Publications Warehouse

    Filmed and edited by: Loeffler, Kurt; Gesell, Justine

    2010-01-01

    Tsunamis are a constant threat to the coasts of our world. Although tsunamis are infrequent along the West coast of the United States, it is possible and necessary to prepare for potential tsunami hazards to minimize loss of life and property. Community awareness programs are important, as they strive to create an informed society by providing education and training. This video about tsunami preparedness in Oregon distinguishes between a local tsunami and a distant event and focus on the specific needs of this region. It offers guidelines for correct tsunami response and community preparedness from local emergency managers, first-responders, and leading experts on tsunami hazards and warnings, who have been working on ways of making the tsunami affected regions safer for the people and communities on a long-term basis. This video was produced by the US Geological Survey (USGS) in cooperation with Oregon Department of Geology and Mineral Industries (DOGAMI).

  2. The September 16, 2015 Illapel Tsunami - Sedimentology of tsunami deposits at the beaches of La Serena and Coquimbo

    NASA Astrophysics Data System (ADS)

    Bahlburg, H.; Nentwig, V.; Kreutzer, M.

    2016-12-01

    On September 16, 2015, a Mw 8.3 earthquake occurred off the coast of Central Chile, 46 km west of the town of Illapel, the hypocenter was at a depth of 8.7 km in the transition zone from the Chilean flat slab to the central Chilean steep slab subduction geometry, and near the intersection of the Juan Fernandez Ridge with the South America plate. The quake caused a tsunami registered which at Coquimbo and La Serena (c. 30°S) attained wave heights of 4.5 m leading to flooding and destruction of infrastructure. Maximum inundation distance was c. 700 m in Coquimbo Bay with minor flooding at the beaches of La Serena to the N. Tsunami deposits are usually the only observable evidence of past events. In view of a limited preservation potential, it is of paramount importance to undertake detailed studies in the wake of actual events. We report initial field data of a sedimentological post-tsunami field survey undertaken in October 2015. The most comprehensive sedimentological record of this tsunami is preserved at Playa Los Fuertes in La Serena. Along a 30 m long trench perpendicular to the coast we observed a laminated package of tsunami deposits. Above an erosive basal unconformity with an amplitude of up to 50 cm the deposit consists of 6 layers of variable thickness, ranging between dark laminae a few millimeters thick and rich in heavy minerals, and lighter colored sand layers up to 15 cm thick. The sediments are moderately well to well sorted, unimodal with modes between 1.3 and 2.0 Φ (medium sand). Cross-beds in the lower four layers indicate deposition from tsunami inflow, cross bedding in the penultimate layer records outflow. Water escape through small sand volcanoes was coeval to formation of the overlying sediment layer by traction deposition. This simultaneity is indicated by sand issued from the lower layer which has been preserved as a thin plume deformed in the downcurrent, i.e. landward, direction in the newly forming upper layer. Other sectors of the

  3. Probabilistic analysis of tsunami hazards

    USGS Publications Warehouse

    Geist, E.L.; Parsons, T.

    2006-01-01

    Determining the likelihood of a disaster is a key component of any comprehensive hazard assessment. This is particularly true for tsunamis, even though most tsunami hazard assessments have in the past relied on scenario or deterministic type models. We discuss probabilistic tsunami hazard analysis (PTHA) from the standpoint of integrating computational methods with empirical analysis of past tsunami runup. PTHA is derived from probabilistic seismic hazard analysis (PSHA), with the main difference being that PTHA must account for far-field sources. The computational methods rely on numerical tsunami propagation models rather than empirical attenuation relationships as in PSHA in determining ground motions. Because a number of source parameters affect local tsunami runup height, PTHA can become complex and computationally intensive. Empirical analysis can function in one of two ways, depending on the length and completeness of the tsunami catalog. For site-specific studies where there is sufficient tsunami runup data available, hazard curves can primarily be derived from empirical analysis, with computational methods used to highlight deficiencies in the tsunami catalog. For region-wide analyses and sites where there are little to no tsunami data, a computationally based method such as Monte Carlo simulation is the primary method to establish tsunami hazards. Two case studies that describe how computational and empirical methods can be integrated are presented for Acapulco, Mexico (site-specific) and the U.S. Pacific Northwest coastline (region-wide analysis).

  4. Historic Tsunami in the Indian Ocean

    NASA Astrophysics Data System (ADS)

    Dominey-Howes, D.; Cummins, P. R.; Burbidge, D.

    2005-12-01

    The 2004 Boxing Day Tsunami dramatically highlighted the need for a better understanding of the tsunami hazard in the Indian Ocean. One of the most important foundations on which to base such an assessment is knowledge of tsunami that have affected the region in the historical past. We present a summary of the previously published catalog of Indian Ocean tsunami and the results of a preliminary search of archival material held at the India Records Office at the British Library in London. We demonstrate that in some cases, normal tidal movements and floods associated with tropical cyclones have been erroneously listed as tsunami. We summarise interesting archival material for tsunami that occurred in 1945, 1941, 1881, 1819, 1762 and a tsunami in 1843 not previously identified or reported. We also note the recent discovery, by a Canadian team during a post-tsunami survey following the 2004 Boxing Day Tsunami, of archival evidence that the Great Sumatra Earthquake of 1833 generated a teletsunami. Open ocean wave heights are calculated for some of the historical tsunami and compared with those of the Boxing Day Tsunami.

  5. Rapid tsunami models and earthquake source parameters: Far-field and local applications

    USGS Publications Warehouse

    Geist, E.L.

    2005-01-01

    Rapid tsunami models have recently been developed to forecast far-field tsunami amplitudes from initial earthquake information (magnitude and hypocenter). Earthquake source parameters that directly affect tsunami generation as used in rapid tsunami models are examined, with particular attention to local versus far-field application of those models. First, validity of the assumption that the focal mechanism and type of faulting for tsunamigenic earthquakes is similar in a given region can be evaluated by measuring the seismic consistency of past events. Second, the assumption that slip occurs uniformly over an area of rupture will most often underestimate the amplitude and leading-wave steepness of the local tsunami. Third, sometimes large magnitude earthquakes will exhibit a high degree of spatial heterogeneity such that tsunami sources will be composed of distinct sub-events that can cause constructive and destructive interference in the wavefield away from the source. Using a stochastic source model, it is demonstrated that local tsunami amplitudes vary by as much as a factor of two or more, depending on the local bathymetry. If other earthquake source parameters such as focal depth or shear modulus are varied in addition to the slip distribution patterns, even greater uncertainty in local tsunami amplitude is expected for earthquakes of similar magnitude. Because of the short amount of time available to issue local warnings and because of the high degree of uncertainty associated with local, model-based forecasts as suggested by this study, direct wave height observations and a strong public education and preparedness program are critical for those regions near suspected tsunami sources.

  6. A protocol for coordinating post-tsunami field reconnaissance efforts in the USA

    USGS Publications Warehouse

    Wilson, Rick I.; Wood, Nathan J.; Kong, Laura; Shulters, Michael V.; Richards, Kevin D.; Dunbar, Paula; Tamura, Gen; Young, Edward J.

    2015-01-01

    In the aftermath of a catastrophic tsunami, much is to be learned about tsunami generation and propagation, landscape and ecological changes, and the response and recovery of those affected by the disaster. Knowledge of the impacted area directly helps response and relief personnel in their efforts to reach and care for survivors and for re-establishing community services. First-hand accounts of tsunami-related impacts and consequences also help researchers, practitioners, and policy makers in other parts of the world that lack recent events to better understand and manage their own societal risks posed by tsunami threats. Conducting post-tsunami surveys and disseminating useful results to decision makers in an effective, efficient, and timely manner is difficult given the logistical issues and competing demands in a post-disaster environment. To facilitate better coordination of field-data collection and dissemination of results, a protocol for coordinating post-tsunami science surveys was developed by a multi-disciplinary group of representatives from state and federal agencies in the USA. This protocol is being incorporated into local, state, and federal post-tsunami response planning through the efforts of the Pacific Risk Management ‘Ohana, the U.S. National Tsunami Hazard Mitigation Program, and the U.S. National Plan for Disaster Impact Assessments. Although the protocol was designed to support a coordinated US post-tsunami response, we believe it could help inform post-disaster science surveys conducted elsewhere and further the discussion on how hazard researchers can most effectively operate in disaster environments.

  7. Holocene Tsunami Deposits From Large Tsunamis Along the Kuril Subduction Zone, Northeast Japan

    NASA Astrophysics Data System (ADS)

    Nanayama, F.; Furukawa, R.; Satake, K.; Soeda, Y.; Shigeno, K.

    2003-12-01

    Holocene tsunami deposits in eastern Hokkaido between Nemuro and Tokachi show that the Kuril subduction zone repeatedly produced earthquakes and tsunamis larger than those recorded in this region since AD 1804 (Nanayama et al., Nature, 424, 660-663, 2003). Twenty-two postulated tsunami sand layers from the past 9500 years are preserved on lake bottom near Kushiro City, and about ten postulated tsunami sand layers from the past 3000 years are preserved in peat layers on the coastal marsh of Kiritappu. We dated these ten tsunami deposits (named Ts1 to Ts10 from shallower to deeper) in peat layers by radiocarbon and tephrochronology, correlated them with historical earthquakes and tsunamis, and surveyed their spatial distribution to estimate the tsunamisO inland inundation limits. Ts10 and Ts9 are under regional tephra Ta-c2 (ca. 2.5 ka) and represent prehistorical events. Ts8 to Ts5 are between two regional tephra layers Ta-c2 and B-Tm (ca. 9th century). In particular, Ts5 is found just below B-Tm, so it is dated 9th century (Heian era). Ts4 is dated ca 13th century (Kamakura era), while Ts3, found just below Us-b and Ta-b (AD 1667-1663), is dated 17th century (Edo era). Ts2 is dated 19th century (Edo era) and may correspond to the AD 1843 Tempo Tokachi-oki earthquake (Mt 8.0) recorded in a historical document Nikkanki of Kokutai-ji temple at Akkeshi. Ts1 is inferred 20th century and may correspond to the tsunami from the AD 1960 Chilean earthquake (M 9.5) or the AD 1952 Tokachi-oki earthquake (Mt 8.2). Our detailed surveys indicate that Ts3 and Ts4 can be traced more than 3 km from the present coast line in Kirittapu marsh, much longer than the limits (< 1 km) of recent deposits Ts1 and Ts2 or documented inundation of the 19th and 20th century tsunamis. The recurrence intervals of great tsunami inundation are about 400 to 500 years, longer than that of typical interplate earthquakes along the Kuril subduction zone. The longer interval and the apparent large tsunami

  8. Real-time tsunami inundation forecasting and damage mapping towards enhancing tsunami disaster resiliency

    NASA Astrophysics Data System (ADS)

    Koshimura, S.; Hino, R.; Ohta, Y.; Kobayashi, H.; Musa, A.; Murashima, Y.

    2014-12-01

    With use of modern computing power and advanced sensor networks, a project is underway to establish a new system of real-time tsunami inundation forecasting, damage estimation and mapping to enhance society's resilience in the aftermath of major tsunami disaster. The system consists of fusion of real-time crustal deformation monitoring/fault model estimation by Ohta et al. (2012), high-performance real-time tsunami propagation/inundation modeling with NEC's vector supercomputer SX-ACE, damage/loss estimation models (Koshimura et al., 2013), and geo-informatics. After a major (near field) earthquake is triggered, the first response of the system is to identify the tsunami source model by applying RAPiD Algorithm (Ohta et al., 2012) to observed RTK-GPS time series at GEONET sites in Japan. As performed in the data obtained during the 2011 Tohoku event, we assume less than 10 minutes as the acquisition time of the source model. Given the tsunami source, the system moves on to running tsunami propagation and inundation model which was optimized on the vector supercomputer SX-ACE to acquire the estimation of time series of tsunami at offshore/coastal tide gauges to determine tsunami travel and arrival time, extent of inundation zone, maximum flow depth distribution. The implemented tsunami numerical model is based on the non-linear shallow-water equations discretized by finite difference method. The merged bathymetry and topography grids are prepared with 10 m resolution to better estimate the tsunami inland penetration. Given the maximum flow depth distribution, the system performs GIS analysis to determine the numbers of exposed population and structures using census data, then estimates the numbers of potential death and damaged structures by applying tsunami fragility curve (Koshimura et al., 2013). Since the tsunami source model is determined, the model is supposed to complete the estimation within 10 minutes. The results are disseminated as mapping products to

  9. Dynamic Tsunami Data Assimilation (DTDA) Based on Green's Function: Theory and Application

    NASA Astrophysics Data System (ADS)

    Wang, Y.; Satake, K.; Gusman, A. R.; Maeda, T.

    2017-12-01

    aircraft and satellite observation above the Indian Ocean, to forecast the tsunami in Sri Lanka, India and Thailand. It shows that DTDA provides reliable tsunami forecasting for these countries, and the tsunami early warning can be issued half an hour before the tsunami arrives to reduce the damage along the coast.

  10. Integration of WERA Ocean Radar into Tsunami Early Warning Systems

    NASA Astrophysics Data System (ADS)

    Dzvonkovskaya, Anna; Helzel, Thomas; Kniephoff, Matthias; Petersen, Leif; Weber, Bernd

    2016-04-01

    High-frequency (HF) ocean radars give a unique capability to deliver simultaneous wide area measurements of ocean surface current fields and sea state parameters far beyond the horizon. The WERA® ocean radar system is a shore-based remote sensing system to monitor ocean surface in near real-time and at all-weather conditions up to 300 km offshore. Tsunami induced surface currents cause increasing orbital velocities comparing to normal oceanographic situation and affect the measured radar spectra. The theoretical approach about tsunami influence on radar spectra showed that a tsunami wave train generates a specific unusual pattern in the HF radar spectra. While the tsunami wave is approaching the beach, the surface current pattern changes slightly in deep water and significantly in the shelf area as it was shown in theoretical considerations and later proved during the 2011 Japan tsunami. These observed tsunami signatures showed that the velocity of tsunami currents depended on a tsunami wave height and bathymetry. The HF ocean radar doesn't measure the approaching wave height of a tsunami; however, it can resolve the surface current velocity signature, which is generated when tsunami reaches the shelf edge. This strong change of the surface current can be detected by a phased-array WERA system in real-time; thus the WERA ocean radar is a valuable tool to support Tsunami Early Warning Systems (TEWS). Based on real tsunami measurements, requirements for the integration of ocean radar systems into TEWS are already defined. The requirements include a high range resolution, a narrow beam directivity of phased-array antennas and an accelerated data update mode to provide a possibility of offshore tsunami detection in real-time. The developed software package allows reconstructing an ocean surface current map of the area observed by HF radar based on the radar power spectrum processing. This fact gives an opportunity to issue an automated tsunami identification message

  11. Tsunami: ocean dynamo generator.

    PubMed

    Sugioka, Hiroko; Hamano, Yozo; Baba, Kiyoshi; Kasaya, Takafumi; Tada, Noriko; Suetsugu, Daisuke

    2014-01-08

    Secondary magnetic fields are induced by the flow of electrically conducting seawater through the Earth's primary magnetic field ('ocean dynamo effect'), and hence it has long been speculated that tsunami flows should produce measurable magnetic field perturbations, although the signal-to-noise ratio would be small because of the influence of the solar magnetic fields. Here, we report on the detection of deep-seafloor electromagnetic perturbations of 10-micron-order induced by a tsunami, which propagated through a seafloor electromagnetometer array network. The observed data extracted tsunami characteristics, including the direction and velocity of propagation as well as sea-level change, first to verify the induction theory. Presently, offshore observation systems for the early forecasting of tsunami are based on the sea-level measurement by seafloor pressure gauges. In terms of tsunami forecasting accuracy, the integration of vectored electromagnetic measurements into existing scalar observation systems would represent a substantial improvement in the performance of tsunami early-warning systems.

  12. Emergency management response to a warning-level Alaska-source tsunami impacting California: Chapter J in The SAFRR (Science Application for Risk Reduction) Tsunami Scenario

    USGS Publications Warehouse

    Miller, Kevin M.; Long, Kate

    2013-01-01

    This chapter is directed towards two audiences: Firstly, it targets nonemergency management readers, providing them with insight on the process and challenges facing emergency managers in responding to tsunami Warning, particularly given this “short fuse” scenario. It is called “short fuse” because there is only a 5.5-hour window following the earthquake before arrival of the tsunami within which to evaluate the threat, disseminate alert and warning messages, and respond. This action initiates a period when crisis communication is of paramount importance. An additional dynamic that is important to note is that within 15 minutes of the earthquake, the National Oceanic and Atmospheric Administration (NOAA) and the National Weather Service (NWS) will issue alert bulletins for the entire Pacific Coast. This is one-half the time actually presented by recent tsunamis from Japan, Chile, and Samoa. Second, the chapter provides emergency managers at all levels with insights into key considerations they may need to address in order to augment their existing plans and effectively respond to tsunami events. We look at emergency management response to the tsunami threat from three perspectives:“Top Down” (Threat analysis and Alert/Warning information from the Federal agency charged with Alert and Warning) “Bottom Up” (Emergency management’s Incident Command approach to responding to emergencies and disasters based on the needs of impacted local jurisdictions) “Across Time” (From the initiating earthquake event through emergency response) We focus on these questions: What are the government roles, relationships, and products that support Tsunami Alert and Warning dissemination? (Emergency Planning and Preparedness.) What roles, relationships, and products support emergency management response to Tsunami Warning and impact? (Engendering prudent public safety response.) What are the key emergency management activities, considerations, and challenges brought

  13. Research to Operations: From Point Positions, Earthquake and Tsunami Modeling to GNSS-augmented Tsunami Early Warning

    NASA Astrophysics Data System (ADS)

    Stough, T.; Green, D. S.

    2017-12-01

    This collaborative research to operations demonstration brings together the data and algorithms from NASA research, technology, and applications-funded projects to deliver relevant data streams, algorithms, predictive models, and visualization tools to the NOAA National Tsunami Warning Center (NTWC) and Pacific Tsunami Warning Center (PTWC). Using real-time GNSS data and models in an operational environment, we will test and evaluate an augmented capability for tsunami early warning. Each of three research groups collect data from a selected network of real-time GNSS stations, exchange data consisting of independently processed 1 Hz station displacements, and merge the output into a single, more accurate and reliable set. The resulting merged data stream is delivered from three redundant locations to the TWCs with a latency of 5-10 seconds. Data from a number of seismogeodetic stations with collocated GPS and accelerometer instruments are processed for displacements and seismic velocities and also delivered. Algorithms for locating and determining the magnitude of earthquakes as well as algorithms that compute the source function of a potential tsunami using this new data stream are included in the demonstration. The delivered data, algorithms, models and tools are hosted on NOAA-operated machines at both warning centers, and, once tested, the results will be evaluated for utility in improving the speed and accuracy of tsunami warnings. This collaboration has the potential to dramatically improve the speed and accuracy of the TWCs local tsunami information over the current seismometer-only based methods. In our first year of this work, we have established and deployed an architecture for data movement and algorithm installation at the TWC's. We are addressing data quality issues and porting algorithms into the TWCs operating environment. Our initial module deliveries will focus on estimating moment magnitude (Mw) from Peak Ground Displacement (PGD), within 2

  14. JMA's regional atmospheric transport model calculations for the WMO technical task team on meteorological analyses for Fukushima Daiichi Nuclear Power Plant accident.

    PubMed

    Saito, Kazuo; Shimbori, Toshiki; Draxler, Roland

    2015-01-01

    The World Meteorological Organization (WMO) convened a small technical task team of experts to produce a set of meteorological analyses to drive atmospheric transport, dispersion and deposition models (ATDMs) for the United Nations Scientific Committee on the Effects of Atomic Radiation's assessment of the Fukushima Daiichi Nuclear Power Plant (DNPP) accident. The Japan Meteorological Agency (JMA) collaborated with the WMO task team as the regional specialized meteorological center of the country where the accident occurred, and provided its operational 5-km resolution mesoscale (MESO) analysis and its 1-km resolution radar/rain gauge-analyzed precipitation (RAP) data. The JMA's mesoscale tracer transport model was modified to a regional ATDM for radionuclides (RATM), which included newly implemented algorithms for dry deposition, wet scavenging, and gravitational settling of radionuclide aerosol particles. Preliminary and revised calculations of the JMA-RATM were conducted according to the task team's protocol. Verification against Cesium 137 ((137)Cs) deposition measurements and observed air concentration time series showed that the performance of RATM with MESO data was significantly improved by the revisions to the model. The use of RAP data improved the (137)Cs deposition pattern but not the time series of air concentrations at Tokai-mura compared with calculations just using the MESO data. Sensitivity tests of some of the more uncertain parameters were conducted to determine their impacts on ATDM calculations, and the dispersion and deposition of radionuclides on 15 March 2011, the period of some of the largest emissions and deposition to the land areas of Japan. The area with high deposition in the northwest of Fukushima DNPP and the hotspot in the central part of Fukushima prefecture were primarily formed by wet scavenging influenced by the orographic effect of the mountainous area in the west of the Fukushima prefecture. Copyright © 2014 The Authors

  15. New Tsunami Forecast Tools for the French Polynesia Tsunami Warning System

    NASA Astrophysics Data System (ADS)

    Clément, Joël; Reymond, Dominique

    2015-03-01

    This paper presents the tsunami warning tools, which are used for the estimation of the seismic source parameters. These tools are grouped under a method called Preliminary Determination of Focal Mechanism_2 ( PDFM2), that has been developed at the French Polynesia Warning Center, in the framework of the system, as a plug-in concept. The first tool determines the seismic moment and the focal geometry (strike, dip, and slip), and the second tool identifies the "tsunami earthquakes" (earthquakes that cause much bigger tsunamis than their magnitude would imply). In a tsunami warning operation, initial assessment of the tsunami potential is based on location and magnitude. The usual quick magnitude methods which use waves, work fine for smaller earthquakes. For major earthquakes these methods drastically underestimate the magnitude and its tsunami potential because the radiated energy shifts to the longer period waves. Since French Polynesia is located far away from the subduction zones of the Pacific rim, the tsunami threat is not imminent, and this luxury of time allows to use the long period surface wave data to determine the true size of a major earthquake. The source inversion method presented in this paper uses a combination of surface waves amplitude spectra and P wave first motions. The advantage of using long period surface data is that there is a much more accurate determination of earthquake size, and the advantage of using P wave first motion is to have a better constrain of the focal geometry than using the surface waves alone. The method routinely gives stable results at minutes, with being the origin time of an earthquake. Our results are then compared to the Global Centroid Moment Tensor catalog for validating both the seismic moment and the source geometry. The second tool discussed in this paper is the slowness parameter and is the energy-to-moment ratio. It has been used to identify tsunami earthquakes, which are characterized by having unusual slow

  16. Fast Simulation of Tsunamis in Real Time

    NASA Astrophysics Data System (ADS)

    Fryer, G. J.; Wang, D.; Becker, N. C.; Weinstein, S. A.; Walsh, D.

    2011-12-01

    The U.S. Tsunami Warning Centers primarily base their wave height forecasts on precomputed tsunami scenarios, such as the SIFT model (Standby Inundation Forecasting of Tsunamis) developed by NOAA's Center for Tsunami Research. In SIFT, tsunami simulations for about 1600 individual earthquake sources, each 100x50 km, define shallow subduction worldwide. These simulations are stored in a database and combined linearly to make up the tsunami from any great earthquake. Precomputation is necessary because the nonlinear shallow-water wave equations are too time consuming to compute during an event. While such scenario-based models are valuable, they tacitly assume all energy in a tsunami comes from thrust at the décollement. The thrust assumption is often violated (e.g., 1933 Sanriku, 2007 Kurils, 2009 Samoa), while a significant number of tsunamigenic earthquakes are completely unrelated to subduction (e.g., 1812 Santa Barbara, 1939 Accra, 1975 Kalapana). Finally, parts of some subduction zones are so poorly defined that precomputations may be of little value (e.g., 1762 Arakan, 1755 Lisbon). For all such sources, a fast means of estimating tsunami size is essential. At the Pacific Tsunami Warning Center, we have been using our model RIFT (Real-time Inundation Forecasting of Tsunamis) experimentally for two years. RIFT is fast by design: it solves only the linearized form of the equations. At 4 arc-minutes resolution calculations for the entire Pacific take just a few minutes on an 8-processor Linux box. Part of the rationale for developing RIFT was earthquakes of M 7.8 or smaller, which approach the lower limit of the more complex SIFT's abilities. For such events we currently issue a fixed warning to areas within 1,000 km of the source, which typically means a lot of over-warning. With sources defined by W-phase CMTs, exhaustive comparison with runup data shows that we can reduce the warning area significantly. Even before CMTs are available, we routinely run models

  17. Tsunami-HySEA model validation for tsunami current predictions

    NASA Astrophysics Data System (ADS)

    Macías, Jorge; Castro, Manuel J.; González-Vida, José Manuel; Ortega, Sergio

    2016-04-01

    Model ability to compute and predict tsunami flow velocities is of importance in risk assessment and hazard mitigation. Substantial damage can be produced by high velocity flows, particularly in harbors and bays, even when the wave height is small. Besides, an accurate simulation of tsunami flow velocities and accelerations is fundamental for advancing in the study of tsunami sediment transport. These considerations made the National Tsunami Hazard Mitigation Program (NTHMP) proposing a benchmark exercise focussed on modeling and simulating tsunami currents. Until recently, few direct measurements of tsunami velocities were available to compare and to validate model results. After Tohoku 2011 many current meters measurement were made, mainly in harbors and channels. In this work we present a part of the contribution made by the EDANYA group from the University of Malaga to the NTHMP workshop organized at Portland (USA), 9-10 of February 2015. We have selected three out of the five proposed benchmark problems. Two of them consist in real observed data from the Tohoku 2011 event, one at Hilo Habour (Hawaii) and the other at Tauranga Bay (New Zealand). The third one consists in laboratory experimental data for the inundation of Seaside City in Oregon. Acknowledgements: This research has been partially supported by the Junta de Andalucía research project TESELA (P11-RNM7069) and the Spanish Government Research project DAIFLUID (MTM2012-38383-C02-01) and Universidad de Málaga, Campus de Excelencia Andalucía TECH. The GPU and multi-GPU computations were performed at the Unit of Numerical Methods (UNM) of the Research Support Central Services (SCAI) of the University of Malaga.

  18. Stand-alone tsunami alarm equipment

    NASA Astrophysics Data System (ADS)

    Katsumata, Akio; Hayashi, Yutaka; Miyaoka, Kazuki; Tsushima, Hiroaki; Baba, Toshitaka; Catalán, Patricio A.; Zelaya, Cecilia; Riquelme Vasquez, Felipe; Sanchez-Olavarria, Rodrigo; Barrientos, Sergio

    2017-05-01

    One of the quickest means of tsunami evacuation is transfer to higher ground soon after strong and long ground shaking. Ground shaking itself is a good initiator of the evacuation from disastrous tsunami. Longer period seismic waves are considered to be more correlated with the earthquake magnitude. We investigated the possible application of this to tsunami hazard alarm using single-site ground motion observation. Information from the mass media is sometimes unavailable due to power failure soon after a large earthquake. Even when an official alarm is available, multiple information sources of tsunami alert would help people become aware of the coming risk of a tsunami. Thus, a device that indicates risk of a tsunami without requiring other data would be helpful to those who should evacuate. Since the sensitivity of a low-cost MEMS (microelectromechanical systems) accelerometer is sufficient for this purpose, tsunami alarm equipment for home use may be easily realized. Amplitude of long-period (20 s cutoff) displacement was proposed as the threshold for the alarm based on empirical relationships among magnitude, tsunami height, hypocentral distance, and peak ground displacement of seismic waves. Application of this method to recent major earthquakes indicated that such equipment could effectively alert people to the possibility of tsunami.

  19. A comparison between two inundation models for the 25 Ooctober 2010 Mentawai Islands Tsunami

    NASA Astrophysics Data System (ADS)

    Huang, Z.; Borrero, J. C.; Qiu, Q.; Hill, E. M.; Li, L.; Sieh, K. E.

    2011-12-01

    On 25 October 2010, an Mw~7.8 earthquake occurred on the Sumatra megathrust seaward of the Mentawai Islands, Indonesia, generating a tsunami which killed approximately 500 people. Following the event, the Earth Observatory of Singapore (EOS) initiated a post-tsunami field survey, collecting tsunami run-up data from more than 30 sites on Pagai Selatan, Pagai Utara and Sipora. The strongest tsunami effects were observed on several small islands offshore of Pagai Selatan, where runup exceeded 16 m. This presentation will focus on a detailed comparison between two tsunami propagation and inundation models: COMCOT (Cornell Multi-grid Coupled Tsunami model) and MOST (Method of Splitting Tsunami). Simulations are initialized using fault models based on data from a 1-hz GPS system that measured co-seismic deformation throughout the region. Preliminary simulations suggest that 2-m vertical seafloor deformation over a reasonably large area is required to recreate most of the observed tsunami effects. Since the GPS data suggest that subsidence of the islands is small, this implies that the tsunami source region is somewhat narrower and located further offshore than described in recently published earthquake source models based on teleseismic inversions alone. We will also discuss issues such as bathymetric and topographic data preparation and the uncertainty in the modeling results due to the lack of high resolution bathymetry and topography in the study area.

  20. Tsunami risk mapping simulation for Malaysia

    USGS Publications Warehouse

    Teh, S.Y.; Koh, H. L.; Moh, Y.T.; De Angelis, D. L.; Jiang, J.

    2011-01-01

    The 26 December 2004 Andaman mega tsunami killed about a quarter of a million people worldwide. Since then several significant tsunamis have recurred in this region, including the most recent 25 October 2010 Mentawai tsunami. These tsunamis grimly remind us of the devastating destruction that a tsunami might inflict on the affected coastal communities. There is evidence that tsunamis of similar or higher magnitudes might occur again in the near future in this region. Of particular concern to Malaysia are tsunamigenic earthquakes occurring along the northern part of the Sunda Trench. Further, the Manila Trench in the South China Sea has been identified as another source of potential tsunamigenic earthquakes that might trigger large tsunamis. To protect coastal communities that might be affected by future tsunamis, an effective early warning system must be properly installed and maintained to provide adequate time for residents to be evacuated from risk zones. Affected communities must be prepared and educated in advance regarding tsunami risk zones, evacuation routes as well as an effective evacuation procedure that must be taken during a tsunami occurrence. For these purposes, tsunami risk zones must be identified and classified according to the levels of risk simulated. This paper presents an analysis of tsunami simulations for the South China Sea and the Andaman Sea for the purpose of developing a tsunami risk zone classification map for Malaysia based upon simulated maximum wave heights. ?? 2011 WIT Press.

  1. Highly variable recurrence of tsunamis in the 7,400 years before the 2004 Indian Ocean tsunami

    NASA Astrophysics Data System (ADS)

    Horton, B.; Rubin, C. M.; Sieh, K.; Jessica, P.; Daly, P.; Ismail, N.; Parnell, A. C.

    2017-12-01

    The devastating 2004 Indian Ocean tsunami caught millions of coastal residents and the scientific community off-guard. Subsequent research in the Indian Ocean basin has identified prehistoric tsunamis, but the timing and recurrence intervals of such events are uncertain. Here, we identify coastal caves as a new depositional environment for reconstructing tsunami records and present a 5,000 year record of continuous tsunami deposits from a coastal cave in Sumatra, Indonesia which shows the irregular recurrence of 11 tsunamis between 7,400 and 2,900 years BP. The data demonstrates that the 2004 tsunami was just the latest in a sequence of devastating tsunamis stretching back to at least the early Holocene and suggests a high likelihood for future tsunamis in the Indian Ocean. The sedimentary record in the cave shows that ruptures of the Sunda megathrust vary between large (which generated the 2004 Indian Ocean tsunami) and smaller slip failures. The chronology of events suggests the recurrence of multiple smaller tsunamis within relatively short time periods, interrupted by long periods of strain accumulation followed by giant tsunamis. The average time period between tsunamis is about 450 years with intervals ranging from a long, dormant period of over 2,000 years, to multiple tsunamis within the span of a century. The very long dormant period suggests that the Sunda megathrust is capable of accumulating large slip deficits between earthquakes. Such a high slip rupture would produce a substantially larger earthquake than the 2004 event. Although there is evidence that the likelihood of another tsunamigenic earthquake in Aceh province is high, these variable recurrence intervals suggest that long dormant periods may follow Sunda Megathrust ruptures as large as that of 2004 Indian Ocean tsunami. The remarkable variability of recurrence suggests that regional hazard mitigation plans should be based upon the high likelihood of future destructive tsunami demonstrated by

  2. Assessment of the Initial Response from Tsunami Monitoring Services Provided to the Northeastern Caribbean

    NASA Astrophysics Data System (ADS)

    Soto-Cordero, L.; Meltzer, A.

    2014-12-01

    A mag 6.4 earthquake offshore northern Puerto Rico earlier this year (1/13/14) is a reminder of the high risk of earthquakes and tsunamis in the northeastern Caribbean. Had the magnitude of this event been 0.1 larger (M 6.5) a tsunami warning would have been issued for the Puerto Rico-Virgin Islands (PRVI) region based on the West Coast Alaska Tsunami Warning Center (WCATWC) and Puerto Rico Seismic Network (PRSN) response procedures at the time. Such an alert level would have led local authorities to issue evacuation orders for all PRVI coastal areas. Since the number of deaths associated with tsunamis in the Caribbean region is greater than the total casualties from tsunamis in the entire US (including Hawaii and Alaska coasts) having an effective and redundant warning system is critical in order to save lives and to minimize false alarms that could result in significant economic costs and loss of confidence of Caribbean residents. We are evaluating three fundamental components of tsunami monitoring protocols currently in place in the northeastern Caribbean: 1) preliminary earthquake parameters (used to determine the potential that a tsunami will be generated and the basis of tsunami alert levels), 2) adequacy of the tsunami alert levels, and 3) tsunami message dissemination. We compiled a catalog of earthquake locations (2007-2014) and dissemination times from the PTWC, WCATWC and NEIC (final locations). The events were classified into 3 categories: local [17°-20°N, 63.5°-69°W], regional (Caribbean basin) and distant/teleseismic (Atlantic basin). A total of 104 local earthquakes, 31 regional and 25 distant events were analyzed. We found that in general preliminary epicentral locations have an accuracy of 40 km. 64% of local events were located with an accuracy of 20 km. The depth accuracy of local events shallower than 50 km, regional and distant earthquakes is usually smaller than 30 km. For deeper local events the error distribution shows more variability

  3. The seismic project of the National Tsunami Hazard Mitigation Program

    USGS Publications Warehouse

    Oppenheimer, D.H.; Bittenbinder, A.N.; Bogaert, B.M.; Buland, R.P.; Dietz, L.D.; Hansen, R.A.; Malone, S.D.; McCreery, C.S.; Sokolowski, T.J.; Whitmore, P.M.; Weaver, C.S.

    2005-01-01

    In 1997, the Federal Emergency Management Agency (FEMA), National Oceanic and Atmospheric Administration (NOAA), U.S. Geological Survey (USGS), and the five western States of Alaska, California, Hawaii, Oregon, and Washington joined in a partnership called the National Tsunami Hazard Mitigation Program (NTHMP) to enhance the quality and quantity of seismic data provided to the NOAA tsunami warning centers in Alaska and Hawaii. The NTHMP funded a seismic project that now provides the warning centers with real-time seismic data over dedicated communication links and the Internet from regional seismic networks monitoring earthquakes in the five western states, the U.S. National Seismic Network in Colorado, and from domestic and global seismic stations operated by other agencies. The goal of the project is to reduce the time needed to issue a tsunami warning by providing the warning centers with high-dynamic range, broadband waveforms in near real time. An additional goal is to reduce the likelihood of issuing false tsunami warnings by rapidly providing to the warning centers parametric information on earthquakes that could indicate their tsunamigenic potential, such as hypocenters, magnitudes, moment tensors, and shake distribution maps. New or upgraded field instrumentation was installed over a 5-year period at 53 seismic stations in the five western states. Data from these instruments has been integrated into the seismic network utilizing Earthworm software. This network has significantly reduced the time needed to respond to teleseismic and regional earthquakes. Notably, the West Coast/Alaska Tsunami Warning Center responded to the 28 February 2001 Mw 6.8 Nisqually earthquake beneath Olympia, Washington within 2 minutes compared to an average response time of over 10 minutes for the previous 18 years. ?? Springer 2005.

  4. New Science Applications Within the U.S. National Tsunami Hazard Mitigation Program

    NASA Astrophysics Data System (ADS)

    Wilson, R. I.; Eble, M. C.; Forson, C. K.; Horrillo, J. J.; Nicolsky, D.

    2017-12-01

    The U.S. National Tsunami Hazard Mitigation Program (NTHMP) is a collaborative State and Federal program which supports consistent and cost effective tsunami preparedness and mitigation activities at a community level. The NTHMP is developing a new five-year Strategic Plan based on the 2017 Tsunami Warning, Education, and Research Act as well as recommendations the 2017 NTHMP External Review Panel. Many NTHMP activities are based on the best available scientific methods through the NTHMP Mapping and Modeling Subcommittee (MMS). The primary activities for the MMS member States are to characterize significant tsunami sources, numerically model those sources, and create tsunami inundation maps for evacuation planning. This work remains a focus for many unmapped coastlines. With the lessons learned from the 2004 Indian Ocean and 2011 Tohoku Japan tsunamis, where both immediate risks and long-term recovery issues where recognized, the NTHMP MMS is expanding efforts into other areas that address community resilience. Tsunami evacuation modeling based on both pedestrian and vehicular modes of transportation are being developed by NTHMP States. Products include tools for the public to create personal evacuation maps. New tsunami response planning tools are being developed for both maritime and coastal communities. Maritime planning includes tsunami current-hazard maps for in-harbor and offshore response activities. Multi-tiered tsunami evacuation plans are being developed in some states to address local- versus distant-source tsunamis, as well as real-time evacuation plans, or "playbooks," for distant-source tsunamis forecasted to be less than the worst-case flood event. Products to assist community mitigation and recovery are being developed at a State level. Harbor Improvement Reports, which evaluate the impacts of currents, sediment, and debris on harbor infrastructure, include direct mitigation activities for Local Hazard Mitigation Plans. Building code updates in the

  5. Tsunamis from Tectonic Sources along Caribbean Plate Boundaries

    NASA Astrophysics Data System (ADS)

    Lopez, A. M.; Chacon, S.; Zamora, N.; Audemard, F. A.; Dondin, F. J. Y.; Clouard, V.; Løvholt, F.; Harbitz, C. B.; Vanacore, E. A.; Huerfano Moreno, V. A.

    2015-12-01

    The Working Group 2 (WG2) of the Intergovernmental Coordination Group for the Tsunami and Other Coastal Hazards Warning System for the Caribbean and Adjacent Regions (ICG/CARIBE-EWS) in charge of Tsunami Hazards Assessment, has generated a list of tsunami sources for the Caribbean region. Simulating these worst-case, most credible scenarios would provide an estimate of the resulting effects on coastal areas within the Caribbean. In the past few years, several publications have addressed this issue resulting in a collection of potential tsunami sources and scenarios. These publications come from a wide variety of sources; from government agencies to academic institutions. Although these provide the scientific community with a list of sources and scenarios, it was the interest of the WG2 to evaluate what has been proposed and develop a comprehensive list of sources, therefore leaving aside proposed scenarios. The seismo-tectonics experts of the Caribbean within the WG2 members were tasked to evaluate comprehensively which published sources are credible, worst-cases, and consider other sources that have been omitted from available reports. Among these published sources are the GEM Faulted Earth Subduction Characterization Project, and the LANTEX/Caribe Wave annual exercise publications (2009-2015). Caribbean tectonic features capable of generating tsunamis from seismic dislocation are located along the Northeastern Caribbean, the Lesser Antilles Trench, and the Panamá and Southern Caribbean Deformed Belts. The proposed sources have been evaluated based on historical and instrumental seismicity as well as geological and geophysical studies. This paper presents the sources and their justification as most-probable tsunami sources based on the context of crustal deformation due to Caribbean plate interacting with neighboring North and South America plates. Simulations of these sources is part of a subsequent phase in which effects of these tectonically induced tsunamis

  6. Tsunami Hazards - A National Threat

    USGS Publications Warehouse

    ,

    2006-01-01

    In December 2004, when a tsunami killed more than 200,000 people in 11 countries around the Indian Ocean, the United States was reminded of its own tsunami risks. In fact, devastating tsunamis have struck North America before and are sure to strike again. Especially vulnerable are the five Pacific States--Hawaii, Alaska, Washington, Oregon, and California--and the U.S. Caribbean islands. In the wake of the Indian Ocean disaster, the United States is redoubling its efforts to assess the Nation's tsunami hazards, provide tsunami education, and improve its system for tsunami warning. The U.S. Geological Survey (USGS) is helping to meet these needs, in partnership with the National Oceanic and Atmospheric Administration (NOAA) and with coastal States and counties.

  7. Uncertainty in tsunami sediment transport modeling

    USGS Publications Warehouse

    Jaffe, Bruce E.; Goto, Kazuhisa; Sugawara, Daisuke; Gelfenbaum, Guy R.; La Selle, SeanPaul M.

    2016-01-01

    Erosion and deposition from tsunamis record information about tsunami hydrodynamics and size that can be interpreted to improve tsunami hazard assessment. We explore sources and methods for quantifying uncertainty in tsunami sediment transport modeling. Uncertainty varies with tsunami, study site, available input data, sediment grain size, and model. Although uncertainty has the potential to be large, published case studies indicate that both forward and inverse tsunami sediment transport models perform well enough to be useful for deciphering tsunami characteristics, including size, from deposits. New techniques for quantifying uncertainty, such as Ensemble Kalman Filtering inversion, and more rigorous reporting of uncertainties will advance the science of tsunami sediment transport modeling. Uncertainty may be decreased with additional laboratory studies that increase our understanding of the semi-empirical parameters and physics of tsunami sediment transport, standardized benchmark tests to assess model performance, and development of hybrid modeling approaches to exploit the strengths of forward and inverse models.

  8. The role of deposits in tsunami risk assessment

    USGS Publications Warehouse

    Jaffe, B.

    2008-01-01

    An incomplete catalogue of tsunamis in the written record hinders tsunami risk assessment. Tsunami deposits, hard evidence of tsunami, can be used to extend the written record. The two primary factors in tsunami risk, tsunami frequency and magnitude, can be addressed through field and modeling studies of tsunami deposits. Recent research has increased the utility of tsunami deposits in tsunami risk assessment by improving the ability to identify tsunami deposits and developing models to determine tsunami magnitude from deposit characteristics. Copyright ASCE 2008.

  9. The November 15, 2006 Kuril Islands-Generated Tsunami in Crescent City, California

    NASA Astrophysics Data System (ADS)

    Dengler, L.; Uslu, B.; Barberopoulou, A.; Yim, S. C.; Kelly, A.

    2009-02-01

    On November 15, 2006, Crescent City in Del Norte County, California was hit by a tsunami generated by a M w 8.3 earthquake in the central Kuril Islands. Strong currents that persisted over an eight-hour period damaged floating docks and several boats and caused an estimated 9.2 million in losses. Initial tsunami alert bulletins issued by the West Coast Alaska Tsunami Warning Center (WCATWC) in Palmer, Alaska were cancelled about three and a half hours after the earthquake, nearly five hours before the first surges reached Crescent City. The largest amplitude wave, 1.76-meter peak to trough, was the sixth cycle and arrived over two hours after the first wave. Strong currents estimated at over 10 knots, damaged or destroyed three docks and caused cracks in most of the remaining docks. As a result of the November 15 event, WCATWC changed the definition of Advisory from a region-wide alert bulletin meaning that a potential tsunami is 6 hours or further away to a localized alert that tsunami water heights may approach warning- level thresholds in specific, vulnerable locations like Crescent City. On January 13, 2007 a similar Kuril event occurred and hourly conferences between the warning center and regional weather forecasts were held with a considerable improvement in the flow of information to local coastal jurisdictions. The event highlighted the vulnerability of harbors from a relatively modest tsunami and underscored the need to improve public education regarding the duration of the tsunami hazards, improve dialog between tsunami warning centers and local jurisdictions, and better understand the currents produced by tsunamis in harbors.

  10. Correlation Equation of Fault Size, Moment Magnitude, and Height of Tsunami Case Study: Historical Tsunami Database in Sulawesi

    NASA Astrophysics Data System (ADS)

    Julius, Musa, Admiral; Pribadi, Sugeng; Muzli, Muzli

    2018-03-01

    Sulawesi, one of the biggest island in Indonesia, located on the convergence of two macro plate that is Eurasia and Pacific. NOAA and Novosibirsk Tsunami Laboratory show more than 20 tsunami data recorded in Sulawesi since 1820. Based on this data, determination of correlation between tsunami and earthquake parameter need to be done to proved all event in the past. Complete data of magnitudes, fault sizes and tsunami heights on this study sourced from NOAA and Novosibirsk Tsunami database, completed with Pacific Tsunami Warning Center (PTWC) catalog. This study aims to find correlation between moment magnitude, fault size and tsunami height by simple regression. The step of this research are data collecting, processing, and regression analysis. Result shows moment magnitude, fault size and tsunami heights strongly correlated. This analysis is enough to proved the accuracy of historical tsunami database in Sulawesi on NOAA, Novosibirsk Tsunami Laboratory and PTWC.

  11. Application of a Tsunami Warning Message Metric to refine NOAA NWS Tsunami Warning Messages

    NASA Astrophysics Data System (ADS)

    Gregg, C. E.; Johnston, D.; Sorensen, J.; Whitmore, P.

    2013-12-01

    In 2010, the U.S. National Weather Service (NWS) funded a three year project to integrate social science into their Tsunami Program. One of three primary requirements of the grant was to make improvements to tsunami warning messages of the NWS' two Tsunami Warning Centers- the West Coast/Alaska Tsunami Warning Center (WCATWC) in Palmer, Alaska and the Pacific Tsunami Warning Center (PTWC) in Ewa Beach, Hawaii. We conducted focus group meetings with a purposive sample of local, state and Federal stakeholders and emergency managers in six states (AK, WA, OR, CA, HI and NC) and two US Territories (US Virgin Islands and American Samoa) to qualitatively asses information needs in tsunami warning messages using WCATWC tsunami messages for the March 2011 Tohoku earthquake and tsunami event. We also reviewed research literature on behavioral response to warnings to develop a tsunami warning message metric that could be used to guide revisions to tsunami warning messages of both warning centers. The message metric is divided into categories of Message Content, Style, Order and Formatting and Receiver Characteristics. A message is evaluated by cross-referencing the message with the operational definitions of metric factors. Findings are then used to guide revisions of the message until the characteristics of each factor are met. Using findings from this project and findings from a parallel NWS Warning Tiger Team study led by T. Nicolini, the WCATWC implemented the first of two phases of revisions to their warning messages in November 2012. A second phase of additional changes, which will fully implement the redesign of messages based on the metric, is in progress. The resulting messages will reflect current state-of-the-art knowledge on warning message effectiveness. Here we present the message metric; evidence-based rational for message factors; and examples of previous, existing and proposed messages.

  12. Defining Tsunami Magnitude as Measure of Potential Impact

    NASA Astrophysics Data System (ADS)

    Titov, V. V.; Tang, L.

    2016-12-01

    The goal of tsunami forecast, as a system for predicting potential impact of a tsunami at coastlines, requires quick estimate of a tsunami magnitude. This goal has been recognized since the beginning of tsunami research. The work of Kajiura, Soloviev, Abe, Murty, and many others discussed several scales for tsunami magnitude based on estimates of tsunami energy. However, difficulties of estimating tsunami energy based on available tsunami measurements at coastal sea-level stations has carried significant uncertainties and has been virtually impossible in real time, before tsunami impacts coastlines. The slow process of tsunami magnitude estimates, including collection of vast amount of available coastal sea-level data from affected coastlines, made it impractical to use any tsunami magnitude scales in tsunami warning operations. Uncertainties of estimates made tsunami magnitudes difficult to use as universal scale for tsunami analysis. Historically, the earthquake magnitude has been used as a proxy of tsunami impact estimates, since real-time seismic data is available of real-time processing and ample amount of seismic data is available for an elaborate post event analysis. This measure of tsunami impact carries significant uncertainties in quantitative tsunami impact estimates, since the relation between the earthquake and generated tsunami energy varies from case to case. In this work, we argue that current tsunami measurement capabilities and real-time modeling tools allow for establishing robust tsunami magnitude that will be useful for tsunami warning as a quick estimate for tsunami impact and for post-event analysis as a universal scale for tsunamis inter-comparison. We present a method for estimating the tsunami magnitude based on tsunami energy and present application of the magnitude analysis for several historical events for inter-comparison with existing methods.

  13. Magnitude scale for the Central American tsunamis

    NASA Astrophysics Data System (ADS)

    Hatori, Tokutaro

    1995-09-01

    Based on the tsunami data in the Central American region, the regional characteristic of tsunami magnitude scales is discussed in relation to earthquake magnitudes during the period from 1900 to 1993. Tsunami magnitudes on the Imamura-Iida scale of the 1985 Mexico and 1992 Nicaragua tsunamis are determined to be m=2.5, judging from the tsunami height-distance diagram. The magnitude values of the Central American tsunamis are relatively small compared to earthquakes with similar size in other regions. However, there are a few large tsunamis generated by low-frequency earthquakes such as the 1992 Nicaragua earthquake. Inundation heights of these unusual tsunamis are about 10 times higher than those of normal tsunamis for the same earthquake magnitude ( M s =6.9 7.2). The Central American tsunamis having magnitude m>1 have been observed by the Japanese tide stations, but the effect of directivity toward Japan is very small compared to that of the South American tsunamis.

  14. Tsunami Evidence in South Coast Java, Case Study: Tsunami Deposit along South Coast of Cilacap

    NASA Astrophysics Data System (ADS)

    Rizal, Yan; Aswan; Zaim, Yahdi; Dwijo Santoso, Wahyu; Rochim, Nur; Daryono; Dewi Anugrah, Suci; Wijayanto; Gunawan, Indra; Yatimantoro, Tatok; Hidayanti; Herdiyani Rahayu, Resti; Priyobudi

    2017-06-01

    Cilacap Area is situated in coastal area of Southern Java and directly affected by tsunami hazard in 2006. This event was triggered by active subduction in Java Trench which active since long time ago. To detect tsunami and active tectonic in Southern Java, paleo-tsunami study is performed which is targeted paleo-tsunami deposit older than fifty years ago. During 2011 - 2016, 16 locations which suspected as paleo-tsunami location were visited and the test-pits were performed to obtain characteristic and stratigraphy of paleo-tsunami layers. Paleo-tsunami layer was identified by the presence of light-sand in the upper part of paleo-soil, liquefaction fine grain sandstone, and many rip-up clast of mudstone. The systematic samples were taken and analysis (micro-fauna, grainsize and dating analysis). Micro-fauna result shows that paleo-tsunami layer consist of benthonic foraminifera assemblages from different bathymetry and mixing in one layer. Moreover, grainsize shows random grain distribution which characterized as turbulence and strong wave deposit. Paleo-tsunami layers in Cilacap area are correlated using paleo-soil as marker. There are three paleo-tsunami layers and the distribution can be identified as PS-A, PS-B and PS-C. The samples which were taken in Glempang Pasir layer are being dated using Pb - Zn (Lead-Zinc) method. The result of Pb - Zn (Lead-Zinc) dating shows that PS-A was deposited in 139 years ago, PS-B in 21 years ago, and PS C in 10 years ago. This result indicates that PS -1 occurred in 1883 earthquake activity while PS B formed in 1982 earthquake and PS-C was formed by 2006 earthquake. For ongoing research, the older paleo-tsunami layers were determined in the Gua Nagaraja, close to Selok location and 6 layers of Paleo-tsunami suspect found which shown a similar characteristic with the layers from another location. The three layers deeper approximately have an older age than another location in Cilacap.

  15. Tsunami Detection by High-Frequency Radar Beyond the Continental Shelf

    NASA Astrophysics Data System (ADS)

    Grilli, Stéphan T.; Grosdidier, Samuel; Guérin, Charles-Antoine

    2016-12-01

    Where coastal tsunami hazard is governed by near-field sources, such as submarine mass failures or meteo-tsunamis, tsunami propagation times may be too small for a detection based on deep or shallow water buoys. To offer sufficient warning time, it has been proposed to implement early warning systems relying on high-frequency (HF) radar remote sensing, that can provide a dense spatial coverage as far offshore as 200-300 km (e.g., for Diginext Ltd.'s Stradivarius radar). Shore-based HF radars have been used to measure nearshore currents (e.g., CODAR SeaSonde® system; http://www.codar.com/), by inverting the Doppler spectral shifts, these cause on ocean waves at the Bragg frequency. Both modeling work and an analysis of radar data following the Tohoku 2011 tsunami, have shown that, given proper detection algorithms, such radars could be used to detect tsunami-induced currents and issue a warning. However, long wave physics is such that tsunami currents will only rise above noise and background currents (i.e., be at least 10-15 cm/s), and become detectable, in fairly shallow water which would limit the direct detection of tsunami currents by HF radar to nearshore areas, unless there is a very wide shallow shelf. Here, we use numerical simulations of both HF radar remote sensing and tsunami propagation to develop and validate a new type of tsunami detection algorithm that does not have these limitations. To simulate the radar backscattered signal, we develop a numerical model including second-order effects in both wind waves and radar signal, with the wave angular frequency being modulated by a time-varying surface current, combining tsunami and background currents. In each "radar cell", the model represents wind waves with random phases and amplitudes extracted from a specified (wind speed dependent) energy density frequency spectrum, and includes effects of random environmental noise and background current; phases, noise, and background current are extracted from

  16. Integrated Historical Tsunami Event and Deposit Database

    NASA Astrophysics Data System (ADS)

    Dunbar, P. K.; McCullough, H. L.

    2010-12-01

    The National Geophysical Data Center (NGDC) provides integrated access to historical tsunami event, deposit, and proxy data. The NGDC tsunami archive initially listed tsunami sources and locations with observed tsunami effects. Tsunami frequency and intensity are important for understanding tsunami hazards. Unfortunately, tsunami recurrence intervals often exceed the historic record. As a result, NGDC expanded the archive to include the Global Tsunami Deposits Database (GTD_DB). Tsunami deposits are the physical evidence left behind when a tsunami impacts a shoreline or affects submarine sediments. Proxies include co-seismic subsidence, turbidite deposits, changes in biota following an influx of marine water in a freshwater environment, etc. By adding past tsunami data inferred from the geologic record, the GTD_DB extends the record of tsunamis backward in time. Although the best methods for identifying tsunami deposits and proxies in the geologic record remain under discussion, developing an overall picture of where tsunamis have affected coasts, calculating recurrence intervals, and approximating runup height and inundation distance provides a better estimate of a region’s true tsunami hazard. Tsunami deposit and proxy descriptions in the GTD_DB were compiled from published data found in journal articles, conference proceedings, theses, books, conference abstracts, posters, web sites, etc. The database now includes over 1,200 descriptions compiled from over 1,100 citations. Each record in the GTD_DB is linked to its bibliographic citation where more information on the deposit can be found. The GTD_DB includes data for over 50 variables such as: event description (e.g., 2010 Chile Tsunami), geologic time period, year, deposit location name, latitude, longitude, country, associated body of water, setting during the event (e.g., beach, lake, river, deep sea), upper and lower contacts, underlying and overlying material, etc. If known, the tsunami source mechanism

  17. S-net : Construction of large scale seafloor observatory network for tsunamis and earthquakes along the Japan Trench

    NASA Astrophysics Data System (ADS)

    Mochizuki, M.; Uehira, K.; Kanazawa, T.; Shiomi, K.; Kunugi, T.; Aoi, S.; Matsumoto, T.; Sekiguchi, S.; Yamamoto, N.; Takahashi, N.; Nakamura, T.; Shinohara, M.; Yamada, T.

    2017-12-01

    . All the data from 150 seafloor observatories are being transferred to and stored in the Tsukuba DC. Some data are being transmitted directly to JMA and have been used for monitoring of earthquakes and tsunamis. We will report construction and operation of the S-net system as well as the outline of the obtained data in this presentation.

  18. Impact of Near-Field, Deep-Ocean Tsunami Observations on Forecasting the 7 December 2012 Japanese Tsunami

    NASA Astrophysics Data System (ADS)

    Bernard, Eddie; Wei, Yong; Tang, Liujuan; Titov, Vasily

    2014-12-01

    Following the devastating 11 March 2011 tsunami, two deep-ocean assessment and reporting of tsunamis (DART®)(DART® and the DART® logo are registered trademarks of the National Oceanic and Atmospheric Administration, used with permission) stations were deployed in Japanese waters by the Japanese Meteorological Agency. Two weeks after deployment, on 7 December 2012, a M w 7.3 earthquake off Japan's Pacific coastline generated a tsunami. The tsunami was recorded at the two Japanese DARTs as early as 11 min after the earthquake origin time, which set a record as the fastest tsunami detecting time at a DART station. These data, along with those recorded at other DARTs, were used to derive a tsunami source using the National Oceanic and Atmospheric Administration tsunami forecast system. The results of our analysis show that data provided by the two near-field Japanese DARTs can not only improve the forecast speed but also the forecast accuracy at the Japanese tide gauge stations. This study provides important guidelines for early detection and forecasting of local tsunamis.

  19. Tsunami Data and Scientific Data Diplomacy

    NASA Astrophysics Data System (ADS)

    Arcos, N. P.; Dunbar, P. K.; Gusiakov, V. K.; Kong, L. S. L.; Aliaga, B.; Yamamoto, M.; Stroker, K. J.

    2016-12-01

    Free and open access to data and information fosters scientific progress and can build bridges between nations even when political relationships are strained. Data and information held by one stakeholder may be vital for promoting research of another. As an emerging field of inquiry, data diplomacy explores how data-sharing helps create and support positive relationships between countries to enable the use of data for societal and humanitarian benefit. Tsunami has arguably been the only natural hazard that has been addressed so effectively at an international scale and illustrates the success of scientific data diplomacy. Tsunami mitigation requires international scientific cooperation in both tsunami science and technology development. This requires not only international agreements, but working-level relationships between scientists from countries that may have different political and economic policies. For example, following the Pacific wide tsunami of 1960 that killed two thousand people in Chile and then, up to a day later, hundreds in Hawaii, Japan, and the Philippines; delegates from twelve countries met to discuss and draft the requirements for an international tsunami warning system. The Pacific Tsunami Warning System led to the development of local, regional, and global tsunami databases and catalogs. For example, scientists at NOAA/NCEI and the Tsunami Laboratory/Russian Academy of Sciences have collaborated on their tsunami catalogs that are now routinely accessed by scientists and the public around the world. These data support decision-making during tsunami events, are used in developing inundation and evacuation maps, and hazard assessments. This presentation will include additional examples of agreements for data-sharing between countries, as well as challenges in standardization and consistency among the tsunami research community. Tsunami data and scientific data diplomacy have ultimately improved understanding of tsunami and associated impacts.

  20. An observation on the main factor for the high fatalities by the March 11 earthquake

    NASA Astrophysics Data System (ADS)

    Ishida, M.; Baba, T.; Ando, M.

    2011-12-01

    On 11 March 2011, Mw9.0 earthquake occurred in Tohoku district, the northeastern Japan, and caused a large tsunami which affected the greater part of the area. During 115 years prior to this event, large tsunamis have struck the Tohoku region in 1960, 1933 and 1896. Therefore, disaster mitigation efforts have been undertaken in the Tohoku region, such as the construction of incomparably strong breakwaters, the annual practice for tsunami evacuation drill, the preparation of hazard maps, etc. Despite these long-term efforts, ca. 25,000 deaths and missing persons were reported by the National Police Headquarters, Japan. In order to clarify the causes of such high number of the fatalities, we interviewed 120 tsunami survivors in 7 cities mainly in Iwate prefecture in several periods after the earthquake. Since the tsunami arrived more than 20-30 min later after the strong ground shaking stopped and highlands are within about 10 to 20 minutes on foot, residents would have been saved if people had taken an immediate action. We found several major reasons why the residents delayed their evacuation actions as follows: 1. Earthquakes that were forecast for the offshore Tohoku by the governmental committee had been much smaller than the March 11 event. Accordingly, evacuation shelters were located at the lower level than that required for the incoming tsunami; 2. The earthquake magnitude and tsunami height of the first warning issue by Japan Meteorological Agency (JMA) was significantly smaller than those of the actual events. Majority of local residents thought that breakwaters would protect them. The JMA renewed the earthquake magnitude and tsunami height step by step, but the corrected information did not reach to the local residents because of the blackout of electric power. Consequently, the residents were unable to get the renewed information through TV or radio; 3. Fifty percent of the local residents experienced the 1960 Chile tsunami that significantly smaller than

  1. Reducing the age range of tsunami deposits by 14C dating of rip-up clasts

    NASA Astrophysics Data System (ADS)

    Ishizawa, Takashi; Goto, Kazuhisa; Yokoyama, Yusuke; Miyairi, Yosuke; Sawada, Chikako; Takada, Keita

    2018-02-01

    Erosion by tsunami waves represents an important issue when determining the age of a tsunami deposit, because the age is usually estimated using dating of sediments above and below the deposit. Dating of material within the tsunami deposit, if suitable material is obtainable, can be used to further constrain its age. Eroded sediments are sometimes incorporated within the tsunami deposits as rip-up clasts, which might therefore be used as minimum age dating material. However, the single calibrated 14C age often shows a wide age range because of fluctuations in the calibration curve. Therefore, it remains uncertain whether rip-up clast measurements are useful to constrain the depositional age of tsunami deposits, or not. In this study, we carried out high-resolution 14C dating of tsunami deposits, including rip-up clasts of peat, in Rikuzentakata, northeastern Japan, where numerous rip-up clasts were observed within a tsunami deposit. Sediments above and below the tsunami deposit and a 5 cm large rip-up clast were dated sequentially. Comparison of these dating results with the calibration curve revealed that the clast was inverted. Its age was better constrained based on the stratigraphic order, and we infer that the clast corresponds to approximately 100 years of sedimentation. The oldest age of the clast was consistent with the age of the peat immediately below the tsunami deposit, suggesting that surface sediments probably formed the rip-up clast at the time of the tsunami. Thus, the dating of the rip-up clast was useful to further constrain the depositional age of the tsunami deposit, as we narrowed the tsunami deposit age range by approximately 100 years. Results show that ignoring tsunami-related erosion might lead to overestimation of the tsunami deposit age. For this reason, an appropriate dating site, which is less affected by minor tsunami-related erosion with regards to the paleo-topography, should be explored. We therefore propose a more effective

  2. Changes in Tsunami Risk Perception in Northern Chile After the April 1 2014 Tsunami

    NASA Astrophysics Data System (ADS)

    Carvalho, L.; Lagos, M.

    2016-12-01

    Tsunamis are a permanent risk in the coast of Chile. Apart from that, the coastal settlements and the Chilean State, historically, have underestimated the danger of tsunamis. On April 1 2014, a magnitude Mw 8.2 earthquake and a minor tsunami occurred off the coast of northern Chile. Considering that over decades this region has been awaiting an earthquake that would generate a large tsunami, in this study we inquired if the familiarity with the subject tsunami and the lack of frequent tsunamis or occurrence of non-hazardous tsunamis for people could lead to adaptive responses to underestimate the danger. The purpose of this study was to evaluate the perceived risk of tsunami in the city of Arica, before and after the April 1 2014 event. A questionnaire was designed and applied in two time periods to 547 people living in low coastal areas in Arica. In the first step, the survey was applied in March 2014. While in step 2, new questions were included and the survey was reapplied, a year after the minor tsunami. A descriptive analysis of data was performed, followed by a comparison between means. We identified illusion of invulnerability, especially regarding to assessment that preparedness and education actions are enough. Answers about lack of belief in the occurrence of future tsunamis were also reported. At the same time, there were learning elements identified. After April 1, a larger number of participants described self-protection actions for emergency, as well as performing of preventive actions. In addition, we mapped answers about the tsunami danger degree in different locations in the city, where we observed a high knowledge of it. When compared with other hazards, the concern about tsunamis were very high, lower than earthquakes hazard, but higher than pollution, crime and rain. Moreover, we identified place attachment in answers about sense of security and affective bonds with home and their location. We discussed the relationship between risk perception

  3. Develop Probabilistic Tsunami Design Maps for ASCE 7

    NASA Astrophysics Data System (ADS)

    Wei, Y.; Thio, H. K.; Chock, G.; Titov, V. V.

    2014-12-01

    A national standard for engineering design for tsunami effects has not existed before and this significant risk is mostly ignored in engineering design. The American Society of Civil Engineers (ASCE) 7 Tsunami Loads and Effects Subcommittee is completing a chapter for the 2016 edition of ASCE/SEI 7 Standard. Chapter 6, Tsunami Loads and Effects, would become the first national tsunami design provisions. These provisions will apply to essential facilities and critical infrastructure. This standard for tsunami loads and effects will apply to designs as part of the tsunami preparedness. The provisions will have significance as the post-tsunami recovery tool, to plan and evaluate for reconstruction. Maps of 2,500-year probabilistic tsunami inundation for Alaska, Washington, Oregon, California, and Hawaii need to be developed for use with the ASCE design provisions. These new tsunami design zone maps will define the coastal zones where structures of greater importance would be designed for tsunami resistance and community resilience. The NOAA Center for Tsunami Research (NCTR) has developed 75 tsunami inundation models as part of the operational tsunami model forecast capability for the U.S. coastline. NCTR, UW, and URS are collaborating with ASCE to develop the 2,500-year tsunami design maps for the Pacific states using these tsunami models. This ensures the probabilistic criteria are established in ASCE's tsunami design maps. URS established a Probabilistic Tsunami Hazard Assessment approach consisting of a large amount of tsunami scenarios that include both epistemic uncertainty and aleatory variability (Thio et al., 2010). Their study provides 2,500-year offshore tsunami heights at the 100-m water depth, along with the disaggregated earthquake sources. NOAA's tsunami models are used to identify a group of sources that produce these 2,500-year tsunami heights. The tsunami inundation limits and runup heights derived from these sources establish the tsunami design map

  4. Integrating Caribbean Seismic and Tsunami Hazard into Public Policy and Action

    NASA Astrophysics Data System (ADS)

    von Hillebrandt-Andrade, C.

    2012-12-01

    The Caribbean has a long history of tsunamis and earthquakes. Over the past 500 years, more than 80 tsunamis have been documented in the region by the NOAA National Geophysical Data Center. Almost 90% of all these historical tsunamis have been associated with earthquakes. Just since 1842, 3510 lives have been lost to tsunamis; this is more than in the Northeastern Pacific for the same time period. With a population of almost 160 million and a heavy concentration of residents, tourists, businesses and critical infrastructure along the Caribbean shores (especially in the northern and eastern Caribbean), the risk to lives and livelihoods is greater than ever before. Most of the countries also have a very high exposure to earthquakes. Given the elevated vulnerability, it is imperative that government officials take steps to mitigate the potentially devastating effects of these events. Nevertheless, given the low frequency of high impact earthquakes and tsunamis, in comparison to hurricanes, combined with social and economic considerations, the needed investments are not made and disasters like the 2010 Haiti earthquake occur. In the absence of frequent significant events, an important driving force for public officials to take action, is the dissemination of scientific studies. When papers of this nature have been published and media advisories issued, public officials demonstrate heightened interest in the topic which in turn can lead to increased legislation and funding efforts. This is especially the case if the material can be easily understood by the stakeholders and there is a local contact. In addition, given the close link between earthquakes and tsunamis, in Puerto Rico alone, 50% of the high impact earthquakes have also generated destructive tsunamis, it is very important that earthquake and tsunami hazards studies demonstrate consistency. Traditionally in the region, earthquake and tsunami impacts have been considered independently in the emergency planning

  5. Camana, Peru, and Tsunami Vulnerability

    NASA Technical Reports Server (NTRS)

    2002-01-01

    A tsunami washed over the low-lying coastal resort region near Camana, southern Peru, following a strong earthquake on June 23, 2001. The earthquake was one of the most powerful of the last 35 years and had a magnitude of 8.4. After the initial quake, coastal residents witnessed a sudden drawdown of the ocean and knew a tsunami was imminent. They had less than 20 minutes to reach higher ground before the tsunami hit. Waves as high as 8 m came in four destructive surges reaching as far as 1.2 km inland. The dashed line marks the approximate area of tsunami inundation. Thousands of buildings were destroyed, and the combined earthquake and tsunami killed as many as 139 people. This image (ISS004-ESC-6128) was taken by astronauts onboard the International Space Station on 10 January 2002. It shows some of the reasons that the Camana area was so vulnerable to tsunami damage. The area has a 1 km band of coastal plain that is less than 5 m in elevation. Much of the plain can be seen by the bright green fields of irrigated agriculture that contrast with the light-colored desert high ground. Many of the tsunami-related deaths were workers in the onion fields in the coastal plain that were unwilling to leave their jobs before the end of the shift. A number of lives were spared because the tsunami occurred during the resort off-season, during the daylight when people could see the ocean drawdown, and during one of the lowest tides of the year. Information on the Tsunami that hit Camana can be found in a reports on the visit by the International Tsunami Survey Team and the USC Tsunami Research Lab. Earthquake Epicenter, Peru shows another image of the area. Image provided by the Earth Sciences and Image Analysis Laboratory at Johnson Space Center. Additional images taken by astronauts and cosmonauts can be viewed at the NASA-JSC Gateway to Astronaut Photography of Earth.

  6. A contribution to the selection of tsunami human vulnerability indicators: conclusions from tsunami impacts in Sri Lanka and Thailand (2004), Samoa (2009), Chile (2010) and Japan (2011)

    NASA Astrophysics Data System (ADS)

    González-Riancho, P.; Aliaga, B.; Hettiarachchi, S.; González, M.; Medina, R.

    2014-12-01

    After several tsunami events with disastrous consequences around the world, coastal countries have realized the need to be prepared to minimize human mortality and damage to coastal infrastructures, livelihoods and resources. The international scientific community is striving to develop and validate methodologies for tsunami hazard and vulnerability and risk assessments. The vulnerability of coastal communities is usually assessed through the definition of sets of indicators based on previous literature and/or post-tsunami reports, as well as on the available data for the study site. The aim of this work is to validate in light of past tsunami events the indicators currently proposed by the scientific community to measure human vulnerability, to improve their definition and selection as well as to analyse their validity for different country development profiles. The events analyzed are the 2011 Great Tohoku tsunami, the 2010 Chilean tsunami, the 2009 Samoan tsunami and the 2004 Indian Ocean tsunami. The results obtained highlight the need for considering both permanent and temporal human exposure, the former requiring some hazard numerical modelling while the latter is related to site-specific livelihoods, cultural traditions and gender roles. The most vulnerable age groups are the elderly adults and the children, the former having much higher mortality rates. Female mortality is not always higher than male and not always related to dependency issues. Higher numbers of disabled people do not always translate into higher numbers of victims. Besides, it is clear that mortality is not only related to the characteristics of the population but also the buildings. A high correlation has been found between the affected buildings and the number of victims, being very high for completely damaged buildings. Distance to the sea, building materials and expected water depths are highly determining factors regarding the type of damage in buildings.

  7. A contribution to the selection of tsunami human vulnerability indicators: conclusions from tsunami impacts in Sri Lanka and Thailand (2004), Samoa (2009), Chile (2010) and Japan (2011)

    NASA Astrophysics Data System (ADS)

    González-Riancho, P.; Aliaga, B.; Hettiarachchi, S.; González, M.; Medina, R.

    2015-07-01

    After several tsunami events with disastrous consequences around the world, coastal countries have realized the need to be prepared to minimize human mortality and damage to coastal infrastructures, livelihoods and resources. The international scientific community is striving to develop and validate methodologies for tsunami hazard and vulnerability and risk assessments. The vulnerability of coastal communities is usually assessed through the definition of sets of indicators based on previous literature and/or post-tsunami reports, as well as on the available data for the study site. The aim of this work is to validate, in light of past tsunami events, the indicators currently proposed by the scientific community to measure human vulnerability, to improve their definition and selection as well as to analyse their validity for different country development profiles. The events analysed are the 2011 Great Tohoku tsunami, the 2010 Chilean tsunami, the 2009 Samoan tsunami and the 2004 Indian Ocean tsunami. The results obtained highlight the need for considering both permanent and temporal human exposure, the former requiring some hazard numerical modelling, while the latter is related to site-specific livelihoods, cultural traditions and gender roles. The most vulnerable age groups are the elderly and children, the former having much higher mortality rates. Female mortality is not always higher than male mortality and not always related to dependency issues. Higher numbers of disabled people do not always translate into higher numbers of victims. Besides, it is clear that mortality is not only related to the characteristics of the population but also of the buildings. A high correlation has been found between the affected buildings and the number of victims, being very high for completely damaged buildings. Distance to the sea, building materials and expected water depths are important determining factors regarding the type of damage to buildings.

  8. Tsunami hazard assessment in La Reunion and Mayotte Islands in the Indian Ocean : detailed modeling of tsunami impacts for the PREPARTOI project

    NASA Astrophysics Data System (ADS)

    Quentel, E.; Loevenbruck, A.; Sahal, A.; Lavigne, F.

    2011-12-01

    Significant tsunamis have often affected the southwest Indian Ocean. The scientific project PREPARTOI (Prévention et REcherche pour l'Atténuation du Risque Tsunami dans l'Océan Indien), partly founded by the MAIF foundation, aims at assessing the tsunami risk on both french islands of this region, La Réunion and Mayotte. Further purpose of this project is the detailed hazard and vulnerability study for specific places of these islands, selected according to their environmental and human issues and observed impacts of past tsunamis. Tsunami hazard in this region, recently highlighted by major events in the southwest Indian Ocean, has never been thoroughly evaluated. Our study, within the PREPARTOI project, contributes to fill in this lack. It aims at examining transoceanic tsunami hazard related to earthquakes by modeling the scenarios of major historical events. We consider earthquakes with magnitude greater than Mw 7.7 located on the Sumatra (1833, 2004, 2010), Java (2006) and Makran (1945) subduction zones. First, our simulations allow us to compare the tsunami impact at regional scale according to the seismic sources; we thus identify earthquakes locations which most affect the islands and describe the impact distribution along their coastline. In general, we note that, for the same magnitude, events coming from the southern part of Sumatra subduction zone induce a larger impact than the north events. The studied tsunamis initiated along the Java and Makran subduction zones have limited effects on both French islands. Then, detailed models for the selected sites are performed based on high resolution bathymetric and topographic data; they provide estimations of the water currents, the water heights and the potential inundations. When available, field measurements and maregraphic records allow testing our models. Arrival time, amplitude of the first wave and impact on the tide gauge time series are well reproduced. Models are consistent with the observations

  9. Tsunami Defense Efforts at Samcheok Port, Korea

    NASA Astrophysics Data System (ADS)

    Cho, Y. S.

    2016-02-01

    Tsunamis mainly triggered by impulsive undersea motions are long waves and can propagate a long distance. Thus, they can cause huge casualties not only neighboring countries but also distant countries. Recently, several devastating tsunamis have been occurred around the Pacific Ocean rim. Among them, the Great East Japan tsunami occurred on March 11, 2011 is probably recorded as one of the most destructive tsunamis during last several decades. The Tsunami killed more than 20,000 people (including missing people) and deprived of property damage of approximately 300 billion USD. The eastern coast of the Korean Peninsula has been attacked historically by unexpected tsunami events. These tsunamis were generated by undersea earthquakes occurred off the west coast of Japan. For example, the Central East Sea Tsunami occurred on May 26, 1983 killed 3 people and caused serious property damage at Samcheok Port located at the eastern coast of Korea. Thus, a defense plan against unexpected tsunami strikes is an essential task for the port authority to protect lives of human beings and port facilities. In this study, a master plan of tsunami defense is introduced at Samcheok Port. A tsunami hazard map is also made by employing both propagation and inundation models. Detailed defense efforts are described including the procedure of development of a tsunami hazard map. Keywords: tsunami, hazard map, run-up height, emergency action plan

  10. Microbial Ecology of Thailand Tsunami and Non-Tsunami Affected Terrestrials

    PubMed Central

    Somboonna, Naraporn; Wilantho, Alisa; Jankaew, Kruawun; Assawamakin, Anunchai; Sangsrakru, Duangjai; Tangphatsornruang, Sithichoke; Tongsima, Sissades

    2014-01-01

    The effects of tsunamis on microbial ecologies have been ill-defined, especially in Phang Nga province, Thailand. This ecosystem was catastrophically impacted by the 2004 Indian Ocean tsunami as well as the 600 year-old tsunami in Phra Thong island, Phang Nga province. No study has been conducted to elucidate their effects on microbial ecology. This study represents the first to elucidate their effects on microbial ecology. We utilized metagenomics with 16S and 18S rDNA-barcoded pyrosequencing to obtain prokaryotic and eukaryotic profiles for this terrestrial site, tsunami affected (S1), as well as a parallel unaffected terrestrial site, non-tsunami affected (S2). S1 demonstrated unique microbial community patterns than S2. The dendrogram constructed using the prokaryotic profiles supported the unique S1 microbial communities. S1 contained more proportions of archaea and bacteria domains, specifically species belonging to Bacteroidetes became more frequent, in replacing of the other typical floras like Proteobacteria, Acidobacteria and Basidiomycota. Pathogenic microbes, including Acinetobacter haemolyticus, Flavobacterium spp. and Photobacterium spp., were also found frequently in S1. Furthermore, different metabolic potentials highlighted this microbial community change could impact the functional ecology of the site. Moreover, the habitat prediction based on percent of species indicators for marine, brackish, freshwater and terrestrial niches pointed the S1 to largely comprise marine habitat indicating-species. PMID:24710002

  11. Microbial ecology of Thailand tsunami and non-tsunami affected terrestrials.

    PubMed

    Somboonna, Naraporn; Wilantho, Alisa; Jankaew, Kruawun; Assawamakin, Anunchai; Sangsrakru, Duangjai; Tangphatsornruang, Sithichoke; Tongsima, Sissades

    2014-01-01

    The effects of tsunamis on microbial ecologies have been ill-defined, especially in Phang Nga province, Thailand. This ecosystem was catastrophically impacted by the 2004 Indian Ocean tsunami as well as the 600 year-old tsunami in Phra Thong island, Phang Nga province. No study has been conducted to elucidate their effects on microbial ecology. This study represents the first to elucidate their effects on microbial ecology. We utilized metagenomics with 16S and 18S rDNA-barcoded pyrosequencing to obtain prokaryotic and eukaryotic profiles for this terrestrial site, tsunami affected (S1), as well as a parallel unaffected terrestrial site, non-tsunami affected (S2). S1 demonstrated unique microbial community patterns than S2. The dendrogram constructed using the prokaryotic profiles supported the unique S1 microbial communities. S1 contained more proportions of archaea and bacteria domains, specifically species belonging to Bacteroidetes became more frequent, in replacing of the other typical floras like Proteobacteria, Acidobacteria and Basidiomycota. Pathogenic microbes, including Acinetobacter haemolyticus, Flavobacterium spp. and Photobacterium spp., were also found frequently in S1. Furthermore, different metabolic potentials highlighted this microbial community change could impact the functional ecology of the site. Moreover, the habitat prediction based on percent of species indicators for marine, brackish, freshwater and terrestrial niches pointed the S1 to largely comprise marine habitat indicating-species.

  12. Preliminary Report Summarizes Tsunami Impacts and Lessons Learned from the September 7, 2017, M8.1 Tehuantepec Earthquake

    NASA Astrophysics Data System (ADS)

    Wilson, R. I.; Ramirez-Herrera, M. T.; Dengler, L. A.; Miller, K.; LaDuke, Y.

    2017-12-01

    The preliminary tsunami impacts from the September 7, 2017, M8.1 Tehuantepec Earthquake have been summarized in the following report: https://www.eeri.org/wp-content/uploads/EERI-Recon-Rpt-090717-Mexico-tsunami_fn.pdf. Although the tsunami impacts were not as significant as those from the earthquake itself (98 fatalities and 41,000 homes damaged), the following are highlights and lessons learned: The Tehuantepec earthquake was one of the largest down-slab normal faulting events ever recorded. This situation complicated the tsunami forecast since forecast methods and pre-event modeling are primarily associated with megathrust earthquakes where the most significant tsunamis are generated. Adding non-megathrust source modeling to the tsunami forecast databases of conventional warning systems should be considered. Offshore seismic and tsunami hazard analyses using past events should incorporate the potential for large earthquakes occurring along sources other than the megathrust boundary. From an engineering perspective, initial reports indicate there was only minor tsunami damage along the Mexico coast. There was damage to Marina Chiapas where floating docks overtopped their piles. Increasing pile heights could reduce the potential for damage to floating docks. Tsunami warning notifications did not get to the public in time to assist with evacuation. Streamlining the messaging in Mexico from the warning system directly to the public should be considered. And, for local events, preparedness efforts should place emphasis on responding to feeling the earthquake and not waiting to be notified. Although the U.S. tsunami warning centers were timely with their international and domestic messaging, there were some issues with how those messages were presented and interpreted. The use of a "Tsunami Threat" banner on the new main warning center website created confusion with emergency managers in the U.S. where no tsunami threat was expected to exist. Also, some U.S. states and

  13. Vulnerability of the Built Environment to Tsunamis - an Overview of Where We Are in 2012

    NASA Astrophysics Data System (ADS)

    Petroff, C. M.

    2012-12-01

    The last twenty years have seen great strides in the understanding and prediction of tsunami behavior. Though study of these disasters has always been motivated by the need to reduce casualties and damage, early work focused primarily on predicting magnitude, propagation and inundation from tsunami waves. Investigations have expanded to include a burgeoning field concentrated on the landward effects of tsunamis on communities: examining building and infrastructure vulnerability, assessing the probabilities of varying levels of damage and applying these findings to planning of land-use, development, evacuation and response. Catastrophic events of the last decade in the Indian Ocean and Japan have brought these issues to the fore and raise the question: Where are we in our understanding of vulnerability to tsunamis? What have we learned? What are the lessons that the most recent events teach us? This overview summarizes recent investigations of the vulnerability of engineered structures to damage from tsunamis - from individual buildings of various uses to larger facilities and structural systems. Examples are provided of both successes and failures in design for tsunami resistance. Vulnerability of critical infrastructure and lifelines is discussed in the context of tsunamis in Sumatra, Chile and Japan. This includes the ability of critical systems to function during and immediately after a disaster as well as the short and long term resilience of utilities, services and coastal facilities after tsunamis. Recent work on probabilistic prediction of damage and development of fragility functions is summarized for the Chile 2010 and Japan 2011 tsunamis. Finally, a commentary is presented on building vulnerability issues as they relate to land use planning, building design and codes and vertical evacuation planning.; Three views of the Oya Train Station in Miyagi Prefecture: Prior to (top), two months after (middle), and one year after (bottom) the March 11, 2011 Tohoku

  14. Tsunami normal modes with solid earth and atmospheric coupling and inversion of the TEC data to estimate tsunami water height in the case of the Queen Charlotte tsunami.

    NASA Astrophysics Data System (ADS)

    Rakoto, V.; Lognonne, P. H.; Rolland, L.

    2016-12-01

    Large underwater earthquakes (Mw > 7) can transmit part of their energy to the surrounding ocean through large sea-floor motions, generating tsunamis that propagate over long distances. The forcing effect of long period ocean surface vibrations due to tsunami waves on the atmosphere trigger atmospheric internal gravity waves (IGWs) that induce ionospheric disturbances when they reach the upper atmosphere. In this poster, we study the IGWs associated to tsunamis using a normal modes 1D modeling approach. Our model is first applied to the case of the October 2012 Haida Gwaii tsunami observed offshore Hawaii. We found three resonances between tsunami modes and the atmospheric gravity modes occurring around 1.5 mHz, 2 mHz and 2.5 mHz, with a large fraction of the energy of the tsunami modes transferred from the ocean to the atmosphere. At theses frequencies, the gravity branches are interacting with the tsunami one and have large amplitude in the ocean. As opposed to the tsunami, a fraction of their energy is therefore transferred from the atmosphere to the ocean. We also show that the fundamental of the gravity waves should arrive before the tsunami due to higher group velocity below 1.6 mHz. We demonstrate that only the 1.5 mHz resonance of the tsunami mode can trigger observable ionospheric perturbations, most often monitored using GPS dual-frequency measurements. Indeed, we show that the modes at 2 mHz and 2.5 mHz are already evanescent at the height of the F2 peak and have little energy in the ionosphere. This normal modes modeling offers a novel and comprehensive study of the transfer function from a propagating tsunami to the upper atmosphere. In particular, we can invert the perturbed TEC data induced by a tsunami in order to estimate the amplitude of the tsunami waveform using a least square method. This method has been performed in the case of the Haida Gwaii tsunami. The results showed a good agreement with the measurement of the dart buoy.

  15. The Three Tsunamis

    NASA Technical Reports Server (NTRS)

    Antcliff, Richard R.

    2007-01-01

    We often talk about how different our world is from our parent's world. We then extrapolate this thinking to our children and try to imagine the world they will face. This is hard enough. However, change is changing! The rate at which change is occurring is accelerating. These new ideas, technologies and ecologies appear to be coming at us like tsunamis. Our approach to responding to these oncoming tsunamis will frame the future our children will live in. There are many of these tsunamis; I am just going to focus on three really big ones heading our way.

  16. Highly variable recurrence of tsunamis in the 7,400 years before the 2004 Indian Ocean tsunami

    PubMed Central

    Rubin, Charles M.; Horton, Benjamin P.; Sieh, Kerry; Pilarczyk, Jessica E.; Daly, Patrick; Ismail, Nazli; Parnell, Andrew C.

    2017-01-01

    The devastating 2004 Indian Ocean tsunami caught millions of coastal residents and the scientific community off-guard. Subsequent research in the Indian Ocean basin has identified prehistoric tsunamis, but the timing and recurrence intervals of such events are uncertain. Here we present an extraordinary 7,400 year stratigraphic sequence of prehistoric tsunami deposits from a coastal cave in Aceh, Indonesia. This record demonstrates that at least 11 prehistoric tsunamis struck the Aceh coast between 7,400 and 2,900 years ago. The average time period between tsunamis is about 450 years with intervals ranging from a long, dormant period of over 2,000 years, to multiple tsunamis within the span of a century. Although there is evidence that the likelihood of another tsunamigenic earthquake in Aceh province is high, these variable recurrence intervals suggest that long dormant periods may follow Sunda megathrust ruptures as large as that of the 2004 Indian Ocean tsunami. PMID:28722009

  17. Highly variable recurrence of tsunamis in the 7,400 years before the 2004 Indian Ocean tsunami.

    PubMed

    Rubin, Charles M; Horton, Benjamin P; Sieh, Kerry; Pilarczyk, Jessica E; Daly, Patrick; Ismail, Nazli; Parnell, Andrew C

    2017-07-19

    The devastating 2004 Indian Ocean tsunami caught millions of coastal residents and the scientific community off-guard. Subsequent research in the Indian Ocean basin has identified prehistoric tsunamis, but the timing and recurrence intervals of such events are uncertain. Here we present an extraordinary 7,400 year stratigraphic sequence of prehistoric tsunami deposits from a coastal cave in Aceh, Indonesia. This record demonstrates that at least 11 prehistoric tsunamis struck the Aceh coast between 7,400 and 2,900 years ago. The average time period between tsunamis is about 450 years with intervals ranging from a long, dormant period of over 2,000 years, to multiple tsunamis within the span of a century. Although there is evidence that the likelihood of another tsunamigenic earthquake in Aceh province is high, these variable recurrence intervals suggest that long dormant periods may follow Sunda megathrust ruptures as large as that of the 2004 Indian Ocean tsunami.

  18. Highly variable recurrence of tsunamis in the 7,400 years before the 2004 Indian Ocean tsunami

    NASA Astrophysics Data System (ADS)

    Rubin, Charles M.; Horton, Benjamin P.; Sieh, Kerry; Pilarczyk, Jessica E.; Daly, Patrick; Ismail, Nazli; Parnell, Andrew C.

    2017-07-01

    The devastating 2004 Indian Ocean tsunami caught millions of coastal residents and the scientific community off-guard. Subsequent research in the Indian Ocean basin has identified prehistoric tsunamis, but the timing and recurrence intervals of such events are uncertain. Here we present an extraordinary 7,400 year stratigraphic sequence of prehistoric tsunami deposits from a coastal cave in Aceh, Indonesia. This record demonstrates that at least 11 prehistoric tsunamis struck the Aceh coast between 7,400 and 2,900 years ago. The average time period between tsunamis is about 450 years with intervals ranging from a long, dormant period of over 2,000 years, to multiple tsunamis within the span of a century. Although there is evidence that the likelihood of another tsunamigenic earthquake in Aceh province is high, these variable recurrence intervals suggest that long dormant periods may follow Sunda megathrust ruptures as large as that of the 2004 Indian Ocean tsunami.

  19. Scientific Animations for Tsunami Hazard Mitigation: The Pacific Tsunami Warning Center's YouTube Channel

    NASA Astrophysics Data System (ADS)

    Becker, N. C.; Wang, D.; Shiro, B.; Ward, B.

    2013-12-01

    Outreach and education save lives, and the Pacific Tsunami Warning Center (PTWC) has a new tool--a YouTube Channel--to advance its mission to protect lives and property from dangerous tsunamis. Such outreach and education is critical for coastal populations nearest an earthquake since they may not get an official warning before a tsunami reaches them and will need to know what to do when they feel strong shaking. Those who live far enough away to receive useful official warnings and react to them, however, can also benefit from PTWC's education and outreach efforts. They can better understand a tsunami warning message when they receive one, can better understand the danger facing them, and can better anticipate how events will unfold while the warning is in effect. The same holds true for emergency managers, who have the authority to evacuate the public they serve, and for the news media, critical partners in disseminating tsunami hazard information. PTWC's YouTube channel supplements its formal outreach and education efforts by making its computer animations available 24/7 to anyone with an Internet connection. Though the YouTube channel is only a month old (as of August 2013), it should rapidly develop a large global audience since similar videos on PTWC's Facebook page have reached over 70,000 viewers during organized media events, while PTWC's official web page has received tens of millions of hits during damaging tsunamis. These animations are not mere cartoons but use scientific data and calculations to render graphical depictions of real-world phenomena as accurately as possible. This practice holds true whether the animation is a simple comparison of historic earthquake magnitudes or a complex simulation cycling through thousands of high-resolution data grids to render tsunami waves propagating across an entire ocean basin. PTWC's animations fall into two broad categories. The first group illustrates concepts about seismology and how it is critical to

  20. A possible space-based tsunami early warning system using observations of the tsunami ionospheric hole.

    PubMed

    Kamogawa, Masashi; Orihara, Yoshiaki; Tsurudome, Chiaki; Tomida, Yuto; Kanaya, Tatsuya; Ikeda, Daiki; Gusman, Aditya Riadi; Kakinami, Yoshihiro; Liu, Jann-Yenq; Toyoda, Atsushi

    2016-12-01

    Ionospheric plasma disturbances after a large tsunami can be detected by measurement of the total electron content (TEC) between a Global Positioning System (GPS) satellite and its ground-based receivers. TEC depression lasting for a few minutes to tens of minutes termed as tsunami ionospheric hole (TIH) is formed above the tsunami source area. Here we describe the quantitative relationship between initial tsunami height and the TEC depression rate caused by a TIH from seven tsunamigenic earthquakes in Japan and Chile. We found that the percentage of TEC depression and initial tsunami height are correlated and the largest TEC depressions appear 10 to 20 minutes after the main shocks. Our findings imply that Ionospheric TEC measurement using the existing ground receiver networks could be used in an early warning system for near-field tsunamis that take more than 20 minutes to arrive in coastal areas.

  1. A possible space-based tsunami early warning system using observations of the tsunami ionospheric hole

    PubMed Central

    Kamogawa, Masashi; Orihara, Yoshiaki; Tsurudome, Chiaki; Tomida, Yuto; Kanaya, Tatsuya; Ikeda, Daiki; Gusman, Aditya Riadi; Kakinami, Yoshihiro; Liu, Jann-Yenq; Toyoda, Atsushi

    2016-01-01

    Ionospheric plasma disturbances after a large tsunami can be detected by measurement of the total electron content (TEC) between a Global Positioning System (GPS) satellite and its ground-based receivers. TEC depression lasting for a few minutes to tens of minutes termed as tsunami ionospheric hole (TIH) is formed above the tsunami source area. Here we describe the quantitative relationship between initial tsunami height and the TEC depression rate caused by a TIH from seven tsunamigenic earthquakes in Japan and Chile. We found that the percentage of TEC depression and initial tsunami height are correlated and the largest TEC depressions appear 10 to 20 minutes after the main shocks. Our findings imply that Ionospheric TEC measurement using the existing ground receiver networks could be used in an early warning system for near-field tsunamis that take more than 20 minutes to arrive in coastal areas. PMID:27905487

  2. Tsunami Hazard Assessment: Source regions of concern to U.S. interests derived from NOAA Tsunami Forecast Model Development

    NASA Astrophysics Data System (ADS)

    Eble, M. C.; uslu, B. U.; Wright, L.

    2013-12-01

    Synthetic tsunamis generated from source regions around the Pacific Basin are analyzed in terms of their relative impact on United States coastal locations.. The region of tsunami origin is as important as the expected magnitude and the predicted inundation for understanding tsunami hazard. The NOAA Center for Tsunami Research has developed high-resolution tsunami models capable of predicting tsunami arrival time and amplitude of waves at each location. These models have been used to conduct tsunami hazard assessments to assess maximum impact and tsunami inundation for use by local communities in education and evacuation map development. Hazard assessment studies conducted for Los Angeles, San Francisco, Crescent City, Hilo, and Apra Harbor are combined with results of tsunami forecast model development at each of seventy-five locations. Complete hazard assessment, identifies every possible tsunami variation from a pre-computed propagation database. Study results indicate that the Eastern Aleutian Islands and Alaska are the most likely regions to produce the largest impact on the West Coast of the United States, while the East Philippines and Mariana trench regions impact Apra Harbor, Guam. Hawaii appears to be impacted equally from South America, Alaska and the Kuril Islands.

  3. Inversion of tsunami height using ionospheric observations. The case of the 2012 Haida Gwaii tsunami

    NASA Astrophysics Data System (ADS)

    Rakoto, V.; Lognonne, P. H.; Rolland, L.

    2014-12-01

    Large and moderate tsunamis generate atmospheric internal gravity waves that are detectable using ionospheric monitoring. Indeed tsunamis of height 2cm and more in open ocean were detected with GPS (Rolland et al. 2010). We present a new method to retrieve the tsunami height from GPS-derived Total Electron Content observations. We present the case of the Mw 7.8 Haida Gwaii earthquake that occured the 28 october 2012 offshore the Queen Charlotte island near the canadian west coast. This event created a moderate tsunami of 4cm offshore the Hawaii archipelago. Equipped with more than 50 receivers it was possible to image the tsunami-induced ionospheric perturbation. First, our forward model leading to the TEC perturbation follows three steps : (1) 3D modeling of the neutral atmosphere perturbation by summation of tsunami-induced gravity waves normal modes. (2) Coupling of the neutral atmosphere perturbation with the ionosphere to retrieve the electron density perturbation. (3) Integration of the electron density perturbation along each satellite-station ray path. Then we compare this results to the data acquired by the Hawaiian GPS network. Finally, we examine the possibility to invert the TEC data in order to retrieve the tsunami height and waveform. For this we investigate the link between the height of tsunamis and the perturbed TEC in the ionosphere.

  4. Optimization of the Number and Location of Tsunami Stations in a Tsunami Warning System

    NASA Astrophysics Data System (ADS)

    An, C.; Liu, P. L. F.; Pritchard, M. E.

    2014-12-01

    Optimizing the number and location of tsunami stations in designing a tsunami warning system is an important and practical problem. It is always desirable to maximize the capability of the data obtained from the stations for constraining the earthquake source parameters, and to minimize the number of stations at the same time. During the 2011 Tohoku tsunami event, 28 coastal gauges and DART buoys in the near-field recorded tsunami waves, providing an opportunity for assessing the effectiveness of those stations in identifying the earthquake source parameters. Assuming a single-plane fault geometry, inversions of tsunami data from combinations of various number (1~28) of stations and locations are conducted and evaluated their effectiveness according to the residues of the inverse method. Results show that the optimized locations of stations depend on the number of stations used. If the stations are optimally located, 2~4 stations are sufficient to constrain the source parameters. Regarding the optimized location, stations must be uniformly spread in all directions, which is not surprising. It is also found that stations within the source region generally give worse constraint of earthquake source than stations farther from source, which is due to the exaggeration of model error in matching large amplitude waves at near-source stations. Quantitative discussions on these findings will be given in the presentation. Applying similar analysis to the Manila Trench based on artificial scenarios of earthquakes and tsunamis, the optimal location of tsunami stations are obtained, which provides guidance of deploying a tsunami warning system in this region.

  5. Seaside, Oregon, Tsunami Vulnerability Assessment Pilot Study

    NASA Astrophysics Data System (ADS)

    Dunbar, P. K.; Dominey-Howes, D.; Varner, J.

    2006-12-01

    The results of a pilot study to assess the risk from tsunamis for the Seaside-Gearhart, Oregon region will be presented. To determine the risk from tsunamis, it is first necessary to establish the hazard or probability that a tsunami of a particular magnitude will occur within a certain period of time. Tsunami inundation maps that provide 100-year and 500-year probabilistic tsunami wave height contours for the Seaside-Gearhart, Oregon, region were developed as part of an interagency Tsunami Pilot Study(1). These maps provided the probability of the tsunami hazard. The next step in determining risk is to determine the vulnerability or degree of loss resulting from the occurrence of tsunamis due to exposure and fragility. The tsunami vulnerability assessment methodology used in this study was developed by M. Papathoma and others(2). This model incorporates multiple factors (e.g. parameters related to the natural and built environments and socio-demographics) that contribute to tsunami vulnerability. Data provided with FEMA's HAZUS loss estimation software and Clatsop County, Oregon, tax assessment data were used as input to the model. The results, presented within a geographic information system, reveal the percentage of buildings in need of reinforcement and the population density in different inundation depth zones. These results can be used for tsunami mitigation, local planning, and for determining post-tsunami disaster response by emergency services. (1)Tsunami Pilot Study Working Group, Seaside, Oregon Tsunami Pilot Study--Modernization of FEMA Flood Hazard Maps, Joint NOAA/USGS/FEMA Special Report, U.S. National Oceanic and Atmospheric Administration, U.S. Geological Survey, U.S. Federal Emergency Management Agency, 2006, Final Draft. (2)Papathoma, M., D. Dominey-Howes, D.,Y. Zong, D. Smith, Assessing Tsunami Vulnerability, an example from Herakleio, Crete, Natural Hazards and Earth System Sciences, Vol. 3, 2003, p. 377-389.

  6. On the characteristics of landslide tsunamis

    PubMed Central

    Løvholt, F.; Pedersen, G.; Harbitz, C. B.; Glimsdal, S.; Kim, J.

    2015-01-01

    This review presents modelling techniques and processes that govern landslide tsunami generation, with emphasis on tsunamis induced by fully submerged landslides. The analysis focuses on a set of representative examples in simplified geometries demonstrating the main kinematic landslide parameters influencing initial tsunami amplitudes and wavelengths. Scaling relations from laboratory experiments for subaerial landslide tsunamis are also briefly reviewed. It is found that the landslide acceleration determines the initial tsunami elevation for translational landslides, while the landslide velocity is more important for impulsive events such as rapid slumps and subaerial landslides. Retrogressive effects stretch the tsunami, and in certain cases produce enlarged amplitudes due to positive interference. In an example involving a deformable landslide, it is found that the landslide deformation has only a weak influence on tsunamigenesis. However, more research is needed to determine how landslide flow processes that involve strong deformation and long run-out determine tsunami generation. PMID:26392615

  7. Lessons Learned and Unlearned from the 2004 Great Sumatran Tsunami.

    NASA Astrophysics Data System (ADS)

    Synolakis, C.; Kanoglu, U.

    2014-12-01

    Huppert & Sparks (2006 Phil Trans Math Phys Eng Sci) wrote It is likely that in the future, we will experience several disasters per year that kill more than 10,000 people. The 2011 Great East Japan Earthquake Disaster alone resulted in more than 20,000 casualties. Synolakis & Bernard (2006 Phil Trans Math Phys Eng Sci) concluded that Before the next Sumatra-type tsunami strikes, we must resolve to create a world that can coexist with the tsunami hazard. The 2011 Japan tsunami dramatically showed that we are not there yet. Despite substantial advances after the 2004 Boxing Day tsunami, substantial challenges remain for improving tsunami hazard mitigation. If the tsunami community appeared at first perplexed in the aftermath of the 2004 tsunami, it was not due to the failure of recognized hydrodynamic paradigms, much as certain geophysical ones and scaling laws failed, but at the worst surprise, the lack of preparedness and education. Synolakis et al. (2008 Pure Appl Geophys) presented standards for tsunami modeling; for both warnings and inundation maps (IMs). Although at least one forecasting methodology has gone through extensive testing, and is now officially in use by the warning centers (WCs), standards need urgently to be formalized for warnings. In Europe, several WCs have been established, but none has yet to issue an operational warning for a hazardous event. If it happens, there might be confusion with possibly contradictory/competing warnings. Never again should there be a repeat of the TEPCO analysis for the safety of the Fukushima NPP. This was primarily due to lacks of familiarity with the context of numerical predictions and experience with real tsunami. The accident was the result of a cascade of stupid errors, almost impossible to ignore by anyone in the field (Synolakis, 26.03.2011 The New York Times). Current practices in tsunami studies for US NPPs and for IMs do not provide us with optimism that the Fukushima lessons have been absorbed and that

  8. Examination of the largest-possible tsunamis (Level 2) generated along the Nankai and Suruga troughs during the past 4000 years based on studies of tsunami deposits from the 2011 Tohoku-oki tsunami

    NASA Astrophysics Data System (ADS)

    Kitamura, Akihisa

    2016-12-01

    Japanese historical documents reveal that Mw 8 class earthquakes have occurred every 100-150 years along the Suruga and Nankai troughs since the 684 Hakuho earthquake. These earthquakes have commonly caused large tsunamis with wave heights of up to 10 m in the Japanese coastal area along the Suruga and Nankai troughs. From the perspective of tsunami disaster management, these tsunamis are designated as Level 1 tsunamis and are the basis for the design of coastal protection facilities. A Mw 9.0 earthquake (the 2011 Tohoku-oki earthquake) and a mega-tsunami with wave heights of 10-40 m struck the Pacific coast of the northeastern Japanese mainland on 11 March 2011, and far exceeded pre-disaster predictions of wave height. Based on the lessons learned from the 2011 Tohoku-oki earthquake, the Japanese Government predicted the tsunami heights of the largest-possible tsunami (termed a Level 2 tsunami) that could be generated in the Suruga and Nankai troughs. The difference in wave heights between Level 1 and Level 2 tsunamis exceeds 20 m in some areas, including the southern Izu Peninsula. This study reviews the distribution of prehistorical tsunami deposits and tsunami boulders during the past 4000 years, based on previous studies in the coastal area of Shizuoka Prefecture, Japan. The results show that a tsunami deposit dated at 3400-3300 cal BP can be traced between the Shimizu, Shizuoka and Rokken-gawa lowlands, whereas no geologic evidence related to the corresponding tsunami (the Rokken-gawa-Oya tsunami) was found on the southern Izu Peninsula. Thus, the Rokken-gawa-Oya tsunami is not classified as a Level 2 tsunami.

  9. A Hybrid Tsunami Risk Model for Japan

    NASA Astrophysics Data System (ADS)

    Haseemkunju, A. V.; Smith, D. F.; Khater, M.; Khemici, O.; Betov, B.; Scott, J.

    2014-12-01

    Around the margins of the Pacific Ocean, denser oceanic plates slipping under continental plates cause subduction earthquakes generating large tsunami waves. The subducting Pacific and Philippine Sea plates create damaging interplate earthquakes followed by huge tsunami waves. It was a rupture of the Japan Trench subduction zone (JTSZ) and the resultant M9.0 Tohoku-Oki earthquake that caused the unprecedented tsunami along the Pacific coast of Japan on March 11, 2011. EQECAT's Japan Earthquake model is a fully probabilistic model which includes a seismo-tectonic model describing the geometries, magnitudes, and frequencies of all potential earthquake events; a ground motion model; and a tsunami model. Within the much larger set of all modeled earthquake events, fault rupture parameters for about 24000 stochastic and 25 historical tsunamigenic earthquake events are defined to simulate tsunami footprints using the numerical tsunami model COMCOT. A hybrid approach using COMCOT simulated tsunami waves is used to generate inundation footprints, including the impact of tides and flood defenses. Modeled tsunami waves of major historical events are validated against observed data. Modeled tsunami flood depths on 30 m grids together with tsunami vulnerability and financial models are then used to estimate insured loss in Japan from the 2011 tsunami. The primary direct report of damage from the 2011 tsunami is in terms of the number of buildings damaged by municipality in the tsunami affected area. Modeled loss in Japan from the 2011 tsunami is proportional to the number of buildings damaged. A 1000-year return period map of tsunami waves shows high hazard along the west coast of southern Honshu, on the Pacific coast of Shikoku, and on the east coast of Kyushu, primarily associated with major earthquake events on the Nankai Trough subduction zone (NTSZ). The highest tsunami hazard of more than 20m is seen on the Sanriku coast in northern Honshu, associated with the JTSZ.

  10. Marine, Tropical, and Tsunami Services

    Science.gov Websites

    essential to the conduct of safe and efficient maritime operations and for the protection of the marine - Managed by National Data Buoy Center (NDBC) Awareness Weeks: Tsunami Preparedness Campaigns National Safe Prepared and Stay Safe! Tsunami Preparedness: Applying Lessons from the Past Pacific Tsunami Warning Center

  11. On the characteristics of landslide tsunamis.

    PubMed

    Løvholt, F; Pedersen, G; Harbitz, C B; Glimsdal, S; Kim, J

    2015-10-28

    This review presents modelling techniques and processes that govern landslide tsunami generation, with emphasis on tsunamis induced by fully submerged landslides. The analysis focuses on a set of representative examples in simplified geometries demonstrating the main kinematic landslide parameters influencing initial tsunami amplitudes and wavelengths. Scaling relations from laboratory experiments for subaerial landslide tsunamis are also briefly reviewed. It is found that the landslide acceleration determines the initial tsunami elevation for translational landslides, while the landslide velocity is more important for impulsive events such as rapid slumps and subaerial landslides. Retrogressive effects stretch the tsunami, and in certain cases produce enlarged amplitudes due to positive interference. In an example involving a deformable landslide, it is found that the landslide deformation has only a weak influence on tsunamigenesis. However, more research is needed to determine how landslide flow processes that involve strong deformation and long run-out determine tsunami generation. © 2015 The Authors.

  12. Tsunami in the Arctic

    NASA Astrophysics Data System (ADS)

    Kulikov, Evgueni; Medvedev, Igor; Ivaschenko, Alexey

    2017-04-01

    The severity of the climate and sparsely populated coastal regions are the reason why the Russian part of the Arctic Ocean belongs to the least studied areas of the World Ocean. In the same time intensive economic development of the Arctic region, specifically oil and gas industry, require studies of potential thread natural disasters that can cause environmental and technical damage of the coastal and maritime infrastructure of energy industry complex (FEC). Despite the fact that the seismic activity in the Arctic can be attributed to a moderate level, we cannot exclude the occurrence of destructive tsunami waves, directly threatening the FEC. According to the IAEA requirements, in the construction of nuclear power plants it is necessary to take into account the impact of all natural disasters with frequency more than 10-5 per year. Planned accommodation in the polar regions of the Russian floating nuclear power plants certainly requires an adequate risk assessment of the tsunami hazard in the areas of their location. Develop the concept of tsunami hazard assessment would be based on the numerical simulation of different scenarios in which reproduced the hypothetical seismic sources and generated tsunamis. The analysis of available geological, geophysical and seismological data for the period of instrumental observations (1918-2015) shows that the highest earthquake potential within the Arctic region is associated with the underwater Mid-Arctic zone of ocean bottom spreading (interplate boundary between Eurasia and North American plates) as well as with some areas of continental slope within the marginal seas. For the Arctic coast of Russia and the adjacent shelf area, the greatest tsunami danger of seismotectonic origin comes from the earthquakes occurring in the underwater Gakkel Ridge zone, the north-eastern part of the Mid-Arctic zone. In this area, one may expect earthquakes of magnitude Mw ˜ 6.5-7.0 at a rate of 10-2 per year and of magnitude Mw ˜ 7.5 at a

  13. Tsunami Risk for the Caribbean Coast

    NASA Astrophysics Data System (ADS)

    Kozelkov, A. S.; Kurkin, A. A.; Pelinovsky, E. N.; Zahibo, N.

    2004-12-01

    The tsunami problem for the coast of the Caribbean basin is discussed. Briefly the historical data of tsunami in the Caribbean Sea are presented. Numerical simulation of potential tsunamis in the Caribbean Sea is performed in the framework of the nonlinear-shallow theory. The tsunami wave height distribution along the Caribbean Coast is computed. These results are used to estimate the far-field tsunami potential of various coastal locations in the Caribbean Sea. In fact, five zones with tsunami low risk are selected basing on prognostic computations, they are: the bay "Golfo de Batabano" and the coast of province "Ciego de Avila" in Cuba, the Nicaraguan Coast (between Bluefields and Puerto Cabezas), the border between Mexico and Belize, the bay "Golfo de Venezuela" in Venezuela. The analysis of historical data confirms that there was no tsunami in the selected zones. Also, the wave attenuation in the Caribbean Sea is investigated; in fact, wave amplitude decreases in an order if the tsunami source is located on the distance up to 1000 km from the coastal location. Both factors wave attenuation and wave height distribution should be taken into account in the planned warning system for the Caribbean Sea.

  14. Evolution of tsunami warning systems and products.

    PubMed

    Bernard, Eddie; Titov, Vasily

    2015-10-28

    Each year, about 60 000 people and $4 billion (US$) in assets are exposed to the global tsunami hazard. Accurate and reliable tsunami warning systems have been shown to provide a significant defence for this flooding hazard. However, the evolution of warning systems has been influenced by two processes: deadly tsunamis and available technology. In this paper, we explore the evolution of science and technology used in tsunami warning systems, the evolution of their products using warning technologies, and offer suggestions for a new generation of warning products, aimed at the flooding nature of the hazard, to reduce future tsunami impacts on society. We conclude that coastal communities would be well served by receiving three standardized, accurate, real-time tsunami warning products, namely (i) tsunami energy estimate, (ii) flooding maps and (iii) tsunami-induced harbour current maps to minimize the impact of tsunamis. Such information would arm communities with vital flooding guidance for evacuations and port operations. The advantage of global standardized flooding products delivered in a common format is efficiency and accuracy, which leads to effectiveness in promoting tsunami resilience at the community level. © 2015 The Authors.

  15. Evolution of tsunami warning systems and products

    PubMed Central

    Bernard, Eddie; Titov, Vasily

    2015-01-01

    Each year, about 60 000 people and $4 billion (US$) in assets are exposed to the global tsunami hazard. Accurate and reliable tsunami warning systems have been shown to provide a significant defence for this flooding hazard. However, the evolution of warning systems has been influenced by two processes: deadly tsunamis and available technology. In this paper, we explore the evolution of science and technology used in tsunami warning systems, the evolution of their products using warning technologies, and offer suggestions for a new generation of warning products, aimed at the flooding nature of the hazard, to reduce future tsunami impacts on society. We conclude that coastal communities would be well served by receiving three standardized, accurate, real-time tsunami warning products, namely (i) tsunami energy estimate, (ii) flooding maps and (iii) tsunami-induced harbour current maps to minimize the impact of tsunamis. Such information would arm communities with vital flooding guidance for evacuations and port operations. The advantage of global standardized flooding products delivered in a common format is efficiency and accuracy, which leads to effectiveness in promoting tsunami resilience at the community level. PMID:26392620

  16. Tsunami Forecast Progress Five Years After Indonesian Disaster

    NASA Astrophysics Data System (ADS)

    Titov, Vasily V.; Bernard, Eddie N.; Weinstein, Stuart A.; Kanoglu, Utku; Synolakis, Costas E.

    2010-05-01

    Almost five years after the 26 December 2004 Indian Ocean tragedy, tsunami warnings are finally benefiting from decades of research toward effective model-based forecasts. Since the 2004 tsunami, two seminal advances have been (i) deep-ocean tsunami measurements with tsunameters and (ii) their use in accurately forecasting tsunamis after the tsunami has been generated. Using direct measurements of deep-ocean tsunami heights, assimilated into numerical models for specific locations, greatly improves the real-time forecast accuracy over earthquake-derived magnitude estimates of tsunami impact. Since 2003, this method has been used to forecast tsunamis at specific harbors for different events in the Pacific and Indian Oceans. Recent tsunamis illustrated how this technology is being adopted in global tsunami warning operations. The U.S. forecasting system was used by both research and operations to evaluate the tsunami hazard. Tests demonstrated the effectiveness of operational tsunami forecasting using real-time deep-ocean data assimilated into forecast models. Several examples also showed potential of distributed forecast tools. With IOC and USAID funding, NOAA researchers at PMEL developed the Community Model Interface for Tsunami (ComMIT) tool and distributed it through extensive capacity-building sessions in the Indian Ocean. Over hundred scientists have been trained in tsunami inundation mapping, leading to the first generation of inundation models for many Indian Ocean shorelines. These same inundation models can also be used for real-time tsunami forecasts as was demonstrated during several events. Contact Information Vasily V. Titov, Seattle, Washington, USA, 98115

  17. New Perspective of Tsunami Deposit Investigations: Insight from the 1755 Lisbon Tsunami in Martinique, Lesser Antilles.

    NASA Astrophysics Data System (ADS)

    Roger, J.; Clouard, V.; Moizan, E.

    2014-12-01

    The recent devastating tsunamis having occurred during the last decades have highlighted the essential necessity to deploy operationnal warning systems and educate coastal populations. This could not be prepared correctly without a minimum knowledge about the tsunami history. That is the case of the Lesser Antilles islands, where a few handfuls of tsunamis have been reported over the past 5 centuries, some of them leading to notable destructions and inundations. But the lack of accurate details for most of the historical tsunamis and the limited period during which we could find written information represents an important problem for tsunami hazard assessment in this region. Thus, it is of major necessity to try to find other evidences of past tsunamis by looking for sedimentary deposits. Unfortunately, island tropical environments do not seem to be the best places to keep such deposits burried. In fact, heavy rainfalls, storms, and all other phenomena leading to coastal erosion, and associated to human activities such as intensive sugarcane cultivation in coastal flat lands, could caused the loss of potential tsunami deposits. Lots of places have been accurately investigated within the Lesser Antilles (from Sainte-Lucia to the British Virgin Islands) the last 3 years and nothing convincing has been found. That is when archeaological investigations excavated a 8-cm thick sandy and shelly layer in downtown Fort-de-France (Martinique), wedged between two well-identified layers of human origin (Fig. 1), that we found new hope: this sandy layer has been quickly attributed without any doubt to the 1755 tsunami, using on one hand the information provided by historical reports of the construction sites, and on the other hand by numerical modeling of the tsunami (wave heights, velocity fields, etc.) showing the ability of this transoceanic tsunami to wrap around the island after ~7 hours of propagation, enter Fort-de-France's Bay with enough energy to carry sediments, and

  18. Tsunami Warning Center in Turkey : Status Update 2012

    NASA Astrophysics Data System (ADS)

    Meral Ozel, N.; Necmioglu, O.; Yalciner, A. C.; Kalafat, D.; Yilmazer, M.; Comoglu, M.; Sanli, U.; Gurbuz, C.; Erdik, M.

    2012-04-01

    (MOD2), and also continuing work related to the development of its own scenario database using NAMI DANCE Tsunami Simulation and Visualization Software. Further improvement of the Tsunami Warning System at the NTWC-TR will be accomplished through KOERI's participation in the FP-7 Project TRIDEC focusing on new technologies for real-time intelligent earth information management to be used in Tsunami Early Warning Systems. In cooperation with Turkish State Meteorological Service (TSMS), KOERI has its own GTS system now and connected to GTS via its own satellite hub. The system has been successfully utilized during the First Enlarged Communication Test Exercise (NEAMTWS/ECTE1), where KOERI acted as the message provider. KOERI is providing guidance and assistance to a working group established within the DEMP on issues such as Communication and Tsunami Exercises, National Procedures and National Tsunami Response Plan. KOERI is also participating in NEAMTIC (North-Eastern Atlantic and Mediterranean Tsunami Information Centre) Project. Finally, during the 8th Session of NEAMTWS in November 2011, KOERI has announced that NTWC-TR is operational as of January 2012 covering Eastern Mediterranean, Aegean, Marmara and Black Seas and KOERI is also ready to operate as an Interim Candidate Tsunami Watch Provider.

  19. Mathematics of tsunami: modelling and identification

    NASA Astrophysics Data System (ADS)

    Krivorotko, Olga; Kabanikhin, Sergey

    2015-04-01

    Tsunami (long waves in the deep water) motion caused by underwater earthquakes is described by shallow water equations ( { ηtt = div (gH (x,y)-gradη), (x,y) ∈ Ω, t ∈ (0,T ); η|t=0 = q(x,y), ηt|t=0 = 0, (x,y) ∈ Ω. ( (1) Bottom relief H(x,y) characteristics and the initial perturbation data (a tsunami source q(x,y)) are required for the direct simulation of tsunamis. The main difficulty problem of tsunami modelling is a very big size of the computational domain (Ω = 500 × 1000 kilometres in space and about one hour computational time T for one meter of initial perturbation amplitude max|q|). The calculation of the function η(x,y,t) of three variables in Ω × (0,T) requires large computing resources. We construct a new algorithm to solve numerically the problem of determining the moving tsunami wave height S(x,y) which is based on kinematic-type approach and analytical representation of fundamental solution. Proposed algorithm of determining the function of two variables S(x,y) reduces the number of operations in 1.5 times than solving problem (1). If all functions does not depend on the variable y (one dimensional case), then the moving tsunami wave height satisfies of the well-known Airy-Green formula: S(x) = S(0)° --- 4H (0)/H (x). The problem of identification parameters of a tsunami source using additional measurements of a passing wave is called inverse tsunami problem. We investigate two different inverse problems of determining a tsunami source q(x,y) using two different additional data: Deep-ocean Assessment and Reporting of Tsunamis (DART) measurements and satellite altimeters wave-form images. These problems are severely ill-posed. The main idea consists of combination of two measured data to reconstruct the source parameters. We apply regularization techniques to control the degree of ill-posedness such as Fourier expansion, truncated singular value decomposition, numerical regularization. The algorithm of selecting the truncated number of

  20. Non-Poissonian Distribution of Tsunami Waiting Times

    NASA Astrophysics Data System (ADS)

    Geist, E. L.; Parsons, T.

    2007-12-01

    Analysis of the global tsunami catalog indicates that tsunami waiting times deviate from an exponential distribution one would expect from a Poisson process. Empirical density distributions of tsunami waiting times were determined using both global tsunami origin times and tsunami arrival times at a particular site with a sufficient catalog: Hilo, Hawai'i. Most sources for the tsunamis in the catalog are earthquakes; other sources include landslides and volcanogenic processes. Both datasets indicate an over-abundance of short waiting times in comparison to an exponential distribution. Two types of probability models are investigated to explain this observation. Model (1) is a universal scaling law that describes long-term clustering of sources with a gamma distribution. The shape parameter (γ) for the global tsunami distribution is similar to that of the global earthquake catalog γ=0.63-0.67 [Corral, 2004]. For the Hilo catalog, γ is slightly greater (0.75-0.82) and closer to an exponential distribution. This is explained by the fact that tsunamis from smaller triggered earthquakes or landslides are less likely to be recorded at a far-field station such as Hilo in comparison to the global catalog, which includes a greater proportion of local tsunamis. Model (2) is based on two distributions derived from Omori's law for the temporal decay of triggered sources (aftershocks). The first is the ETAS distribution derived by Saichev and Sornette [2007], which is shown to fit the distribution of observed tsunami waiting times. The second is a simpler two-parameter distribution that is the exponential distribution augmented by a linear decay in aftershocks multiplied by a time constant Ta. Examination of the sources associated with short tsunami waiting times indicate that triggered events include both earthquake and landslide tsunamis that begin in the vicinity of the primary source. Triggered seismogenic tsunamis do not necessarily originate from the same fault zone

  1. Peru 2007 tsunami runup observations and modeling

    NASA Astrophysics Data System (ADS)

    Fritz, H. M.; Kalligeris, N.; Borrero, J. C.

    2008-05-01

    On 15 August 2007 an earthquake with moment magnitude (Mw) of 8.0 centered off the coast of central Peru, generated a tsunami with locally focused runup heights of up to 10 m. A reconnaissance team was deployed in the immediate aftermath and investigated the tsunami effects at 51 sites. The largest runup heights were measured in a sparsely populated desert area south of the Paracas Peninsula resulting in only 3 tsunami fatalities. Numerical modeling of the earthquake source and tsunami suggest that a region of high slip near the coastline was primarily responsible for the extreme runup heights. The town of Pisco was spared by the presence of the Paracas Peninsula, which blocked tsunami waves from propagating northward from the high slip region. The coast of Peru has experienced numerous deadly and destructive tsunamis throughout history, which highlights the importance of ongoing tsunami awareness and education efforts in the region. The Peru tsunami is compared against recent mega-disasters such as the 2004 Indian Ocean tsunami and Hurricane Katrina.

  2. Origin of the ahead of tsunami traveling ionospheric disturbances during Sumatra tsunami and offshore forecasting

    NASA Astrophysics Data System (ADS)

    Bagiya, Mala S.; Kherani, E. A.; Sunil, P. S.; Sunil, A. S.; Sunda, S.; Ramesh, D. S.

    2017-07-01

    The presence of ionospheric disturbances associated with Sumatra 2004 tsunami that propagated ahead of tsunami itself has previously been identified. However, their origin remains unresolved till date. Focusing on their origin mechanism, we document these ionospheric disturbances referred as Ahead of tsunami Traveling Ionospheric Disturbances (ATIDs). Using total electron content (TEC) data from GPS Aided GEO Augmented Navigation GPS receivers located near the Indian east coast, we first confirm the ATIDs presence in TEC that appear 90 min ahead of the arrival of tsunami at the Indian east coast. We propose here a simulation study based on tsunami-atmospheric-ionospheric coupling that considers tsunamigenic acoustic gravity waves (AGWs) to excite these disturbances. We explain the ATIDs generation based on the dissipation of transverse mode of the primary AGWs. The simulation corroborates the excitation of ATIDs with characteristics similar to the observations. Therefore, we offer an alternative theoretical tool to monitor the offshore ATIDs where observations are either rare or not available and could be potentially important for the tsunami early warning.

  3. Tsunami risk zoning in south-central Chile

    NASA Astrophysics Data System (ADS)

    Lagos, M.

    2010-12-01

    The recent 2010 Chilean tsunami revealed the need to optimize methodologies for assessing the risk of disaster. In this context, modern techniques and criteria for the evaluation of the tsunami phenomenon were applied in the coastal zone of south-central Chile as a specific methodology for the zoning of tsunami risk. This methodology allows the identification and validation of a scenario of tsunami hazard; the spatialization of factors that have an impact on the risk; and the zoning of the tsunami risk. For the hazard evaluation, different scenarios were modeled by means of numerical simulation techniques, selecting and validating the results that better fit with the observed tsunami data. Hydrodynamic parameters of the inundation as well as physical and socioeconomic vulnerability aspects were considered for the spatialization of the factors that affect the tsunami risk. The tsunami risk zoning was integrated into a Geographic Information System (GIS) by means of multicriteria evaluation (MCE). The results of the tsunami risk zoning show that the local characteristics and their location, together with the concentration of poverty levels, establish spatial differentiated risk levels. This information builds the basis for future applied studies in land use planning that tend to minimize the risk levels associated to the tsunami hazard. This research is supported by Fondecyt 11090210.

  4. The September 16, 2015 Illapel Tsunami - Sedimentology of tsunami deposits at the beaches of La Serena and Coquimbo

    NASA Astrophysics Data System (ADS)

    Bahlburg, Heinrich; Nentwig, Vanessa; Matthias, Kreutzer

    2016-04-01

    central part of the vertical section includes mildly trough-shaped crossbeds indicating landward flow, a c. 5 cm thick layer 10 cm below the top in the interior part of the trench contains planar cross beds formed by outflow currents. Water escape occur as small sand diapirs and volcanoes within the final deposit. Water escape through small volcanoes appears to have been coeval to formation of the overlying layer by traction deposition as sand issuing from the lower layer has been preserved as a thin plume deformed in the downcurrent, i.e. landward, direction in the newly forming upper layer. Other sectors of the sediment show sand diapirs intruding up to 15 cm into the overlying tsunami deposit. The assemblage of laminae, layers and sedimentary structures indicates that the deposit records at least two events of tsunami inflow indicated by crossbeds and deformed sand volcano plumes, and one outflow event. Intervening layers without directional structures can not be assigned unequivocally to either inflow or outflow deposition.

  5. Tsunami hazard map in eastern Bali

    NASA Astrophysics Data System (ADS)

    Afif, Haunan; Cipta, Athanasius

    2015-04-01

    Bali is a popular tourist destination both for Indonesian and foreign visitors. However, Bali is located close to the collision zone between the Indo-Australian Plate and Eurasian Plate in the south and back-arc thrust off the northern coast of Bali resulted Bali prone to earthquake and tsunami. Tsunami hazard map is needed for better understanding of hazard level in a particular area and tsunami modeling is one of the most reliable techniques to produce hazard map. Tsunami modeling conducted using TUNAMI N2 and set for two tsunami sources scenarios which are subduction zone in the south of Bali and back thrust in the north of Bali. Tsunami hazard zone is divided into 3 zones, the first is a high hazard zones with inundation height of more than 3m. The second is a moderate hazard zone with inundation height 1 to 3m and the third is a low tsunami hazard zones with tsunami inundation heights less than 1m. Those 2 scenarios showed southern region has a greater potential of tsunami impact than the northern areas. This is obviously shown in the distribution of the inundated area in the south of Bali including the island of Nusa Penida, Nusa Lembongan and Nusa Ceningan is wider than in the northern coast of Bali although the northern region of the Nusa Penida Island more inundated due to the coastal topography.

  6. Tsunami hazard map in eastern Bali

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Afif, Haunan, E-mail: afif@vsi.esdm.go.id; Cipta, Athanasius; Australian National University, Canberra

    Bali is a popular tourist destination both for Indonesian and foreign visitors. However, Bali is located close to the collision zone between the Indo-Australian Plate and Eurasian Plate in the south and back-arc thrust off the northern coast of Bali resulted Bali prone to earthquake and tsunami. Tsunami hazard map is needed for better understanding of hazard level in a particular area and tsunami modeling is one of the most reliable techniques to produce hazard map. Tsunami modeling conducted using TUNAMI N2 and set for two tsunami sources scenarios which are subduction zone in the south of Bali and backmore » thrust in the north of Bali. Tsunami hazard zone is divided into 3 zones, the first is a high hazard zones with inundation height of more than 3m. The second is a moderate hazard zone with inundation height 1 to 3m and the third is a low tsunami hazard zones with tsunami inundation heights less than 1m. Those 2 scenarios showed southern region has a greater potential of tsunami impact than the northern areas. This is obviously shown in the distribution of the inundated area in the south of Bali including the island of Nusa Penida, Nusa Lembongan and Nusa Ceningan is wider than in the northern coast of Bali although the northern region of the Nusa Penida Island more inundated due to the coastal topography.« less

  7. Benchmarking on Tsunami Currents with ComMIT

    NASA Astrophysics Data System (ADS)

    Sharghi vand, N.; Kanoglu, U.

    2015-12-01

    There were no standards for the validation and verification of tsunami numerical models before 2004 Indian Ocean tsunami. Even, number of numerical models has been used for inundation mapping effort, evaluation of critical structures, etc. without validation and verification. After 2004, NOAA Center for Tsunami Research (NCTR) established standards for the validation and verification of tsunami numerical models (Synolakis et al. 2008 Pure Appl. Geophys. 165, 2197-2228), which will be used evaluation of critical structures such as nuclear power plants against tsunami attack. NCTR presented analytical, experimental and field benchmark problems aimed to estimate maximum runup and accepted widely by the community. Recently, benchmark problems were suggested by the US National Tsunami Hazard Mitigation Program Mapping & Modeling Benchmarking Workshop: Tsunami Currents on February 9-10, 2015 at Portland, Oregon, USA (http://nws.weather.gov/nthmp/index.html). These benchmark problems concentrated toward validation and verification of tsunami numerical models on tsunami currents. Three of the benchmark problems were: current measurement of the Japan 2011 tsunami in Hilo Harbor, Hawaii, USA and in Tauranga Harbor, New Zealand, and single long-period wave propagating onto a small-scale experimental model of the town of Seaside, Oregon, USA. These benchmark problems were implemented in the Community Modeling Interface for Tsunamis (ComMIT) (Titov et al. 2011 Pure Appl. Geophys. 168, 2121-2131), which is a user-friendly interface to the validated and verified Method of Splitting Tsunami (MOST) (Titov and Synolakis 1995 J. Waterw. Port Coastal Ocean Eng. 121, 308-316) model and is developed by NCTR. The modeling results are compared with the required benchmark data, providing good agreements and results are discussed. Acknowledgment: The research leading to these results has received funding from the European Union's Seventh Framework Programme (FP7/2007-2013) under grant

  8. Evaluation of the Relationship Between Coral Damage and Tsunami Dynamics; Case Study: 2009 Samoa Tsunami

    NASA Astrophysics Data System (ADS)

    Dilmen, Derya I.; Titov, Vasily V.; Roe, Gerard H.

    2015-12-01

    On September 29, 2009, an Mw = 8.1 earthquake at 17:48 UTC in Tonga Trench generated a tsunami that caused heavy damage across Samoa, American Samoa, and Tonga islands. Tutuila island, which is located 250 km from the earthquake epicenter, experienced tsunami flooding and strong currents on the north and east coasts, causing 34 fatalities (out of 192 total deaths from this tsunami) and widespread structural and ecological damage. The surrounding coral reefs also suffered heavy damage. The damage was formally evaluated based on detailed surveys before and immediately after the tsunami. This setting thus provides a unique opportunity to evaluate the relationship between tsunami dynamics and coral damage. In this study, estimates of the maximum wave amplitudes and coastal inundation of the tsunami are obtained with the MOST model (T itov and S ynolakis, J. Waterway Port Coast Ocean Eng: pp 171, 1998; T itov and G onzalez, NOAA Tech. Memo. ERL PMEL 112:11, 1997), which is now the operational tsunami forecast tool used by the National Oceanic and Atmospheric Administration (NOAA). The earthquake source function was constrained using the real-time deep-ocean tsunami data from three DART® (Deep-ocean Assessment and Reporting for Tsunamis) systems in the far field, and by tide-gauge observations in the near field. We compare the simulated run-up with observations to evaluate the simulation performance. We present an overall synthesis of the tide-gauge data, survey results of the run-up, inundation measurements, and the datasets of coral damage around the island. These data are used to assess the overall accuracy of the model run-up prediction for Tutuila, and to evaluate the model accuracy over the coral reef environment during the tsunami event. Our primary findings are that: (1) MOST-simulated run-up correlates well with observed run-up for this event ( r = 0.8), it tends to underestimated amplitudes over coral reef environment around Tutuila (for 15 of 31 villages, run

  9. Tsunami response system for ports in Korea

    NASA Astrophysics Data System (ADS)

    Cho, H.-R.; Cho, J.-S.; Cho, Y.-S.

    2015-09-01

    The tsunamis that have occurred in many places around the world over the past decade have taken a heavy toll on human lives and property. The eastern coast of the Korean Peninsula is not safe from tsunamis, particularly the eastern coastal areas, which have long sustained tsunami damage. The eastern coast had been attacked by 1983 and 1993 tsunami events. The aim of this study was to mitigate the casualties and property damage against unexpected tsunami attacks along the eastern coast of the Korean Peninsula by developing a proper tsunami response system for important ports and harbors with high population densities and high concentrations of key national industries. The system is made based on numerical and physical modelings of 3 historical and 11 virtual tsunamis events, field surveys, and extensive interviews with related people.

  10. Tsunami Detection Systems for International Requirements

    NASA Astrophysics Data System (ADS)

    Lawson, R. A.

    2007-12-01

    Results are presented regarding the first commercially available, fully operational, tsunami detection system to have passed stringent U.S. government testing requirements and to have successfully demonstrated its ability to detect an actual tsunami at sea. Spurred by the devastation of the December 26, 2004, Indian Ocean tsunami that killed more than 230,000 people, the private sector actively supported the Intergovernmental Oceanographic Commission's (IOC"s) efforts to develop a tsunami warning system and mitigation plan for the Indian Ocean region. As each country in the region developed its requirements, SAIC recognized that many of these underdeveloped countries would need significant technical assistance to fully execute their plans. With the original focus on data fusion, consequence assessment tools, and warning center architecture, it was quickly realized that the cornerstone of any tsunami warning system would be reliable tsunami detection buoys that could meet very stringent operational standards. Our goal was to leverage extensive experience in underwater surveillance and oceanographic sensing to produce an enhanced and reliable deep water sensor that could meet emerging international requirements. Like the NOAA Deep-ocean Assessment and Recording of Tsunamis (DART TM ) buoy, the SAIC Tsunami Buoy (STB) system consists of three subsystems: a surfaccommunications buoy subsystem, a bottom pressure recorder subsystem, and a buoy mooring subsystem. With the operational success that DART has demonstrated, SAIC decided to build and test to the same high standards. The tsunami detection buoy system measures small changes in the depth of the deep ocean caused by tsunami waves as they propagate past the sensor. This is accomplished by using an extremely sensitive bottom pressure sensor/recorder to measure very small changes in pressure as the waves move past the buoy system. The bottom pressure recorder component includes a processor with algorithms that

  11. Revisiting the 1761 Transatlantic Tsunami

    NASA Astrophysics Data System (ADS)

    Baptista, Maria Ana; Wronna, Martin; Miranda, Jorge Miguel

    2016-04-01

    The tsunami catalogs of the Atlantic include two transatlantic tsunamis in the 18th century the well known 1st November 1755 and the 31st March 1761. The 31st March 1761 earthquake struck Portugal, Spain, and Morocco. The earthquake occurred around noontime in Lisbon alarming the inhabitants and throwing down ruins of the past 1st November 1755 earthquake. According to several sources, the earthquake was followed by a tsunami observed as far as Cornwall (United Kingdom), Cork (Ireland) and Barbados (Caribbean). The analysis of macroseismic information and its compatibility with tsunami travel time information led to a source area close to the Ampere Seamount with an estimated epicenter circa 34.5°N 13°W. The estimated magnitude of the earthquake was 8.5. In this study, we revisit the tsunami observations, and we include a report from Cadiz not used before. We use the results of the compilation of the multi-beam bathymetric data, that covers the area between 34°N - 38°N and 12.5°W - 5.5°W and use the recent tectonic map published for the Southwest Iberian Margin to select among possible source scenarios. Finally, we use a non-linear shallow water model that includes the discretization and explicit leap-frog finite difference scheme to solve the shallow water equations in the spherical or Cartesian coordinate to compute tsunami waveforms and tsunami inundation and check the results against the historical descriptions to infer the source of the event. This study received funding from project ASTARTE- Assessment Strategy and Risk Reduction for Tsunamis in Europe a collaborative project Grant 603839, FP7-ENV2013 6.4-3

  12. A Preliminary Tsunami Vulnerability Analysis for Yenikapi Region in Istanbul

    NASA Astrophysics Data System (ADS)

    Ceren Cankaya, Zeynep; Suzen, Lutfi; Cevdet Yalciner, Ahmet; Kolat, Cagil; Aytore, Betul; Zaytsev, Andrey

    2015-04-01

    One of the main requirements during post disaster recovery operations is to maintain proper transportation and fluent communication at the disaster areas. Ports and harbors are the main transportation hubs which must work with proper performance at all times especially after the disasters. Resilience of coastal utilities after earthquakes and tsunamis have major importance for efficient and proper rescue and recovery operations soon after the disasters. Istanbul is a mega city with its various coastal utilities located at the north coast of the Sea of Marmara. At Yenikapi region of Istanbul, there are critical coastal utilities and vulnerable coastal structures and critical activities occur daily. Fishery ports, commercial ports, small craft harbors, passenger terminals of intercity maritime transportation, water front commercial and/or recreational structures are some of the examples of coastal utilization which are vulnerable against marine disasters. Therefore their vulnerability under tsunami or any other marine hazard to Yenikapi region of Istanbul is an important issue. In this study, a methodology of vulnerability analysis under tsunami attack is proposed with the applications to Yenikapi region. In the study, high resolution (1m) GIS database of Istanbul Metropolitan Municipality (IMM) is used and analyzed by using GIS implementation. The bathymetry and topography database and the vector dataset containing all buildings/structures/infrastructures in the study area are obtained for tsunami numerical modeling for the study area. GIS based tsunami vulnerability assessment is conducted by applying the Multi-criteria Decision Making Analysis (MCDA). The tsunami parameters from deterministically defined worst case scenarios are computed from the simulations using tsunami numerical model NAMI DANCE. The vulnerability parameters in the region due to two different classifications i) vulnerability of buildings/structures and ii) vulnerability of (human) evacuation

  13. Tsunami shelter in Padang city: Location suitability and management issue

    NASA Astrophysics Data System (ADS)

    Rita, Eva; Permata, Robby; Yonne, Hilma; Carlo, Nasfryzal

    2017-11-01

    The building of Temporary Evacuation Sites (TES/shelter) is an effort to minimize the vulnerability of the population who live in coastal city areas with high risk of tsunami. Padang city in Indonesia, one of the cities with high risk of tsunami, has built shelter in North Ulak Karang Village, North Padang Sub-district. The problems are the location of shelter does not meet the standard of population number, how to manage the shelter in normal condition (without disaster), and who will be responsible for the management of the shelter. The aim of the study is to learn the suitability of shelter location and the management of the shelter in normal condition as well as the expectation of the people who live near the shelter location. This research uses evaluative-descriptive method with the collection of secondary and primary data through structured interviews with 200 respondents in the area of shelter building. The result shows that the furthest location of the shelter is located at RW 03 with a distance of 1.3 kms which takes 12.15-24.30 minutes. It shows that the shelter location in Padang meets the requirement of FEMA P646. At normal condition, shelter can be used for sport and educational activities, as a center for socialisation and simulation of disaster and other activities. The management of the shelter is done together by government and stakeholders. The proposed management is by forming a team (organization) which involves Disaster Alert groups (KSB) and by making the Standard Operational Procedures (SOP) for their implementation. People expect that the number of shelter is added and the building of the shelter is based on the suitability of location, number of population and availability of land.

  14. The Pacific tsunami warning system

    USGS Publications Warehouse

    Pararas-Carayannis, G.

    1986-01-01

    The impact of tsunamis on human societies can be traced back in written history to 480 BC, when the Minoan civilization in the Eastern Mediterranean was wiped out by great tsunami waves generated by the volcanic explosion of the island of Santorin. In the Pacific Ocean where the majority of these waves have been generated, the historical record, although brief, shows tremendous destruction. In Japan which has one of the most populated coastal regions in the world and a long history of earthquake activity, tsunamis have destroyed entire coastal communities. There is also history of tsunami destruction in Alaska, in Hawaiian Islands, and in South America. 

  15. Advanced Geospatial Hydrodynamic Signals Analysis for Tsunami Event Detection and Warning

    NASA Astrophysics Data System (ADS)

    Arbab-Zavar, Banafshe; Sabeur, Zoheir

    2013-04-01

    Current early tsunami warning can be issued upon the detection of a seismic event which may occur at a given location offshore. This also provides an opportunity to predict the tsunami wave propagation and run-ups at potentially affected coastal zones by selecting the best matching seismic event from a database of pre-computed tsunami scenarios. Nevertheless, it remains difficult and challenging to obtain the rupture parameters of the tsunamigenic earthquakes in real time and simulate the tsunami propagation with high accuracy. In this study, we propose a supporting approach, in which the hydrodynamic signal is systematically analysed for traces of a tsunamigenic signal. The combination of relatively low amplitudes of a tsunami signal at deep waters and the frequent occurrence of background signals and noise contributes to a generally low signal to noise ratio for the tsunami signal; which in turn makes the detection of this signal difficult. In order to improve the accuracy and confidence of detection, a re-identification framework in which a tsunamigenic signal is detected via the scan of a network of hydrodynamic stations with water level sensing is performed. The aim is to attempt the re-identification of the same signatures as the tsunami wave spatially propagates through the hydrodynamic stations sensing network. The re-identification of the tsunamigenic signal is technically possible since the tsunami signal at the open ocean itself conserves its birthmarks relating it to the source event. As well as supporting the initial detection and improving the confidence of detection, a re-identified signal is indicative of the spatial range of the signal, and thereby it can be used to facilitate the identification of certain background signals such as wind waves which do not have as large a spatial reach as tsunamis. In this paper, the proposed methodology for the automatic detection of tsunamigenic signals has been achieved using open data from NOAA with a recorded

  16. Great East Japan Earthquake Tsunami

    NASA Astrophysics Data System (ADS)

    Iijima, Y.; Minoura, K.; Hirano, S.; Yamada, T.

    2011-12-01

    The 11 March 2011, Mw 9.0 Great East Japan Earthquake, already among the most destructive earthquakes in modern history, emanated from a fault rupture that extended an estimated 500 km along the Pacific coast of Honshu. This earthquake is the fourth among five of the strongest temblors since AD 1900 and the largest in Japan since modern instrumental recordings began 130 years ago. The earthquake triggered a huge tsunami, which invaded the seaside areas of the Pacific coast of East Japan, causing devastating damages on the coast. Artificial structures were destroyed and planted forests were thoroughly eroded. Inrush of turbulent flows washed backshore areas and dunes. Coastal materials including beach sand were transported onto inland areas by going-up currents. Just after the occurrence of the tsunami, we started field investigation of measuring thickness and distribution of sediment layers by the tsunami and the inundation depth of water in Sendai plain. Ripple marks showing direction of sediment transport were the important object of observation. We used a soil auger for collecting sediments in the field, and sediment samples were submitted for analyzing grain size and interstitial water chemistry. Satellite images and aerial photographs are very useful for estimating the hydrogeological effects of tsunami inundation. We checked the correspondence of micro-topography, vegetation and sediment covering between before and after the tsunami. The most conspicuous phenomenon is the damage of pine forests planted in the purpose of preventing sand shifting. About ninety-five percent of vegetation coverage was lost during the period of rapid currents changed from first wave. The landward slopes of seawalls were mostly damaged and destroyed. Some aerial photographs leave detailed records of wave destruction just behind seawalls, which shows the occurrence of supercritical flows. The large-scale erosion of backshore behind seawalls is interpreted to have been caused by

  17. Quantifying human response capabilities towards tsunami threats at community level

    NASA Astrophysics Data System (ADS)

    Post, J.; Mück, M.; Zosseder, K.; Wegscheider, S.; Taubenböck, H.; Strunz, G.; Muhari, A.; Anwar, H. Z.; Birkmann, J.; Gebert, N.

    2009-04-01

    Decision makers at the community level need detailed information on tsunami risks in their area. Knowledge on potential hazard impact, exposed elements such as people, critical facilities and lifelines, people's coping capacity and recovery potential are crucial to plan precautionary measures for adaptation and to mitigate potential impacts of tsunamis on society and the environment. A crucial point within a people-centred tsunami risk assessment is to quantify the human response capabilities towards tsunami threats. Based on this quantification and spatial representation in maps tsunami affected and safe areas, difficult-to-evacuate areas, evacuation target points and evacuation routes can be assigned and used as an important contribution to e.g. community level evacuation planning. Major component in the quantification of human response capabilities towards tsunami impacts is the factor time. The human response capabilities depend on the estimated time of arrival (ETA) of a tsunami, the time until technical or natural warning signs (ToNW) can be received, the reaction time (RT) of the population (human understanding of a tsunami warning and the decision to take appropriate action), the evacuation time (ET, time people need to reach a safe area) and the actual available response time (RsT = ETA - ToNW - RT). If RsT is larger than ET, people in the respective areas are able to reach a safe area and rescue themselves. Critical areas possess RsT values equal or even smaller ET and hence people whin these areas will be directly affected by a tsunami. Quantifying the factor time is challenging and an attempt to this is presented here. The ETA can be derived by analyzing pre-computed tsunami scenarios for a respective area. For ToNW we assume that the early warning center is able to fulfil the Indonesian presidential decree to issue a warning within 5 minutes. RT is difficult as here human intrinsic factors as educational level, believe, tsunami knowledge and experience

  18. Development of a Probabilistic Tsunami Hazard Analysis in Japan

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Toshiaki Sakai; Tomoyoshi Takeda; Hiroshi Soraoka

    2006-07-01

    It is meaningful for tsunami assessment to evaluate phenomena beyond the design basis as well as seismic design. Because once we set the design basis tsunami height, we still have possibilities tsunami height may exceeds the determined design tsunami height due to uncertainties regarding the tsunami phenomena. Probabilistic tsunami risk assessment consists of estimating for tsunami hazard and fragility of structures and executing system analysis. In this report, we apply a method for probabilistic tsunami hazard analysis (PTHA). We introduce a logic tree approach to estimate tsunami hazard curves (relationships between tsunami height and probability of excess) and present anmore » example for Japan. Examples of tsunami hazard curves are illustrated, and uncertainty in the tsunami hazard is displayed by 5-, 16-, 50-, 84- and 95-percentile and mean hazard curves. The result of PTHA will be used for quantitative assessment of the tsunami risk for important facilities located on coastal area. Tsunami hazard curves are the reasonable input data for structures and system analysis. However the evaluation method for estimating fragility of structures and the procedure of system analysis is now being developed. (authors)« less

  19. Tsunamis: stochastic models of occurrence and generation mechanisms

    USGS Publications Warehouse

    Geist, Eric L.; Oglesby, David D.

    2014-01-01

    The devastating consequences of the 2004 Indian Ocean and 2011 Japan tsunamis have led to increased research into many different aspects of the tsunami phenomenon. In this entry, we review research related to the observed complexity and uncertainty associated with tsunami generation, propagation, and occurrence described and analyzed using a variety of stochastic methods. In each case, seismogenic tsunamis are primarily considered. Stochastic models are developed from the physical theories that govern tsunami evolution combined with empirical models fitted to seismic and tsunami observations, as well as tsunami catalogs. These stochastic methods are key to providing probabilistic forecasts and hazard assessments for tsunamis. The stochastic methods described here are similar to those described for earthquakes (Vere-Jones 2013) and volcanoes (Bebbington 2013) in this encyclopedia.

  20. Uncertainty in the Modeling of Tsunami Sediment Transport

    NASA Astrophysics Data System (ADS)

    Jaffe, B. E.; Sugawara, D.; Goto, K.; Gelfenbaum, G. R.; La Selle, S.

    2016-12-01

    Erosion and deposition from tsunamis record information about tsunami hydrodynamics and size that can be interpreted to improve tsunami hazard assessment. A recent study (Jaffe et al., 2016) explores sources and methods for quantifying uncertainty in tsunami sediment transport modeling. Uncertainty varies with tsunami properties, study site characteristics, available input data, sediment grain size, and the model used. Although uncertainty has the potential to be large, case studies for both forward and inverse models have shown that sediment transport modeling provides useful information on tsunami inundation and hydrodynamics that can be used to improve tsunami hazard assessment. New techniques for quantifying uncertainty, such as Ensemble Kalman Filtering inversion, and more rigorous reporting of uncertainties will advance the science of tsunami sediment transport modeling. Uncertainty may be decreased with additional laboratory studies that increase our understanding of the semi-empirical parameters and physics of tsunami sediment transport, standardized benchmark tests to assess model performance, and the development of hybrid modeling approaches to exploit the strengths of forward and inverse models. As uncertainty in tsunami sediment transport modeling is reduced, and with increased ability to quantify uncertainty, the geologic record of tsunamis will become more valuable in the assessment of tsunami hazard. Jaffe, B., Goto, K., Sugawara, D., Gelfenbaum, G., and La Selle, S., "Uncertainty in Tsunami Sediment Transport Modeling", Journal of Disaster Research Vol. 11 No. 4, pp. 647-661, 2016, doi: 10.20965/jdr.2016.p0647 https://www.fujipress.jp/jdr/dr/dsstr001100040647/

  1. Tsunami hazard mitigation in tourism in the tropical and subtropical coastal areas: a case study in the Ryukyu Islands, southwest of Japan

    NASA Astrophysics Data System (ADS)

    Matsumoto, T.

    2006-12-01

    Life and economy (including tourism) in tropical and subtropical coastal areas, such as Okinawa Prefecture (Ryukyu) are highly relying on the sea. The sea has both "gentle" side to give people healing and "dangerous" side to kill people. If we are going to utilise the sea for marine tourism such as constructing resort facilities on the oceanfront, we should know all of the sea, including the both sides of the sea: especially the nature of tsunamis. And also we islanders should issue accurate information about the sea towards outsiders, especially tourists visiting the island. We have already learned a lesson about this issue from the Sumatra tsunami in 2004. However, measures against the tsunami disaster by marine tourism industry are still inadequate in these areas. The goal of tsunami hazard mitigation for those engaged in tourism industry in tropical and subtropical coastal areas should be as follows. (1) Preparedness against tsunamis: "Be aware of the characteristics of tsunamis." "Prepare tsunamis when you feel an earthquake." "Prepare tsunamis when an earthquake takes place somewhere in the world." (2) Maintenance of an exact tsunami hazard map under quantitative analyses of the characteristics of tsunamis: "Flooding areas by tsunami attacks are dependent not only on altitude but also on amplification and inundation due to the seafloor topography near the coast and the onland topographic relief." "Tsunami damage happens repeatedly." (3) Maintenance of a tsunami disaster prevention manual and training after the manual: "Who should do what in case of tsunamis?" "How should the resort hotel employees lead the guests to the safe place?" Such a policy for disaster prevention is discussed in the class of the general education of "Ocean Sciences" in University of the Ryukyus (UR) and summer school for high school students. The students (most of them are from Okinawa Prefecture) consider, discuss and make reports about what to do in case of tsunamis as an islander

  2. Earthquake and Tsunami: a movie and a book for seismic and tsunami risk reduction in Italy.

    NASA Astrophysics Data System (ADS)

    Nostro, C.; Baroux, E.; Maramai, A.; Graziani, L.; Tertulliani, A.; Castellano, C.; Arcoraci, L.; Casale, P.; Ciaccio, M. G.; Frepoli, A.

    2009-04-01

    Italy is a country well known for the seismic and volcanic hazard. However, a similarly great hazard, although not well recognized, is posed by the occurrence of tsunami waves along the Italian coastline. This is testified by a rich catalogue and by field evidence of deposits left over by pre- and historical tsunamis, even in places today considered safe. This observation is of great importance since many of the areas affected by tsunamis in the past are today touristic places. The Italian tsunamis can be caused by different sources: 1- off-shore or near coast in-land earthquakes; 2- very large earthquakes on distant sources in the Mediterranean; 3- submarine volcanic explosion in the Tyrrhenian sea; 4- submarine landslides triggered by earthquakes and volcanic activity. The consequence of such a wide spectrum of sources is that an important part of the more than 7000 km long Italian coast line is exposed to the tsunami risk, and thousands of inhabitants (with numbers increasing during summer) live near hazardous coasts. The main historical tsunamis are the 1783 and 1908 events that hit Calabrian and Sicilian coasts. The recent tsunami is that caused by the 2002 Stromboli landslide. In order to reduce this risk and following the emotional impact of the December 2004 Sumatra earthquake and tsunami, we developed an outreach program consisting in talks given by scientists and in a movie and a book, both exploring the causes of the tsunami waves, how do they propagate in deep and shallow waters, and what are the effects on the coasts. Hints are also given on the most dangerous Italian coasts (as deduced by scientific studies), and how to behave in the case of a tsunami approaching the coast. These seminars are open to the general public, but special programs are developed with schools of all grades. In this talk we want to present the book and the movie used during the seminars and scientific expositions, that was realized from a previous 3D version originally

  3. Implementation of a Global Navigation Satellite System (GNSS) Augmentation to Tsunami Early Warning Systems

    NASA Astrophysics Data System (ADS)

    LaBrecque, John

    2016-04-01

    The Global Geodetic Observing System has issued a Call for Participation to research scientists, geodetic research groups and national agencies in support of the implementation of the IUGG recommendation for a Global Navigation Satellite System (GNSS) Augmentation to Tsunami Early Warning Systems. The call seeks to establish a working group to be a catalyst and motivating force for the definition of requirements, identification of resources, and for the encouragement of international cooperation in the establishment, advancement, and utilization of GNSS for Tsunami Early Warning. During the past fifteen years the populations of the Indo-Pacific region experienced a series of mega-thrust earthquakes followed by devastating tsunamis that claimed nearly 300,000 lives. The future resiliency of the region will depend upon improvements to infrastructure and emergency response that will require very significant investments from the Indo-Pacific economies. The estimation of earthquake moment magnitude, source mechanism and the distribution of crustal deformation are critical to rapid tsunami warning. Geodetic research groups have demonstrated the use of GNSS data to estimate earthquake moment magnitude, source mechanism and the distribution of crustal deformation sufficient for the accurate and timely prediction of tsunamis generated by mega-thrust earthquakes. GNSS data have also been used to measure the formation and propagation of tsunamis via ionospheric disturbances acoustically coupled to the propagating surface waves; thereby providing a new technique to track tsunami propagation across ocean basins, opening the way for improving tsunami propagation models, and providing accurate warning to communities in the far field. These two new advancements can deliver timely and accurate tsunami warnings to coastal communities in the near and far field of mega-thrust earthquakes. This presentation will present the justification for and the details of the GGOS Call for

  4. Tsunamis and splay fault dynamics

    USGS Publications Warehouse

    Wendt, J.; Oglesby, D.D.; Geist, E.L.

    2009-01-01

    The geometry of a fault system can have significant effects on tsunami generation, but most tsunami models to date have not investigated the dynamic processes that determine which path rupture will take in a complex fault system. To gain insight into this problem, we use the 3D finite element method to model the dynamics of a plate boundary/splay fault system. We use the resulting ground deformation as a time-dependent boundary condition for a 2D shallow-water hydrodynamic tsunami calculation. We find that if me stress distribution is homogeneous, rupture remains on the plate boundary thrust. When a barrier is introduced along the strike of the plate boundary thrust, rupture propagates to the splay faults, and produces a significantly larger tsunami man in the homogeneous case. The results have implications for the dynamics of megathrust earthquakes, and also suggest mat dynamic earthquake modeling may be a useful tool in tsunami researcn. Copyright 2009 by the American Geophysical Union.

  5. Physical Observations of the Tsunami during the September 8th 2017 Tehuantepec, Mexico Earthquake

    NASA Astrophysics Data System (ADS)

    Ramirez-Herrera, M. T.; Corona, N.; Ruiz-Angulo, A.; Melgar, D.; Zavala-Hidalgo, J.

    2017-12-01

    The September 8th 2017, Mw8.2 earthquake offshore Chiapas, Mexico, is the largest earthquake recorded history in Chiapas since 1902. It caused damage in the states of Oaxaca, Chiapas and Tabasco; it had more than 100 fatalities, over 1.5 million people were affected, and 41,000 homes were damaged in the state of Chiapas alone. This earthquake, a deep intraplate event on a normal fault on the oceanic subducting plate, generated a tsunami recorded at several tide gauge stations in Mexico and on the Pacific Ocean. Here we report the physical effects of the tsunami on the Chiapas coast and analyze the societal implications of this tsunami on the basis of our field observations. Tide gauge data indicate 11.3 and 8.2 cm of coastal subsidence at Salina Cruz and Puerto Chiapas stations. The associated tsunami waves were recorded first at Salina Cruz tide gauge station at 5:13 (GMT). We covered ground observations along 41 km of the coast of Chiapas, encompassing the sites with the highest projected wave heights based on the preliminary tsunami model (maximum tsunami amplitudes between -94.5 and -93.0 W). Runup and inundation distances were measured with an RTK GPS and using a Sokkia B40 level along 8 sites. We corrected runup data with estimated astronomical tide levels at the time of the tsunami. The tsunami occurred at low tide. The maximum runup was 3 m at Boca del Cielo, and maximum inundation distance was 190 m in Puerto Arista, corresponding to the coast directly opposite the epicenter and in the central sector of the Gulf of Tehuantepec. In general, our field data agree with the predicted results from the preliminary tsunami model. Tsunami scour and erosion was evident on the Chiapas coast. Tsunami deposits, mainly sand, reached up to 32 cm thickness thinning landwards up to 172 m distance. Even though the Mexican tsunami early warning system (CAT) issued several warnings, the tsunami arrival struck the Chiapas coast prior to the arrival of official warnings to the

  6. An Evaluation of Infrastructure for Tsunami Evacuation in Padang, West Sumatra, Indonesia (Invited)

    NASA Astrophysics Data System (ADS)

    Cedillos, V.; Canney, N.; Deierlein, G.; Diposaptono, S.; Geist, E. L.; Henderson, S.; Ismail, F.; Jachowski, N.; McAdoo, B. G.; Muhari, A.; Natawidjaja, D. H.; Sieh, K. E.; Toth, J.; Tucker, B. E.; Wood, K.

    2009-12-01

    existing buildings to serve as evacuation structures, and of existing bridges to serve as elements of evacuation routes, and (3) additions to Padang’s tsunami evacuation infrastructure must carefully take into account technical matters (e.g. expected wave height, debris impact forces), social considerations (e.g. cultural acceptability, public’s confidence in the structure’s integrity), and political issues (e.g. land availability, cost, maintenance). Future plans include collaboration between U.S. and Indonesian engineers in developing designs for new tsunami evacuation structures, as well as providing training for Indonesian authorities on: (1) siting, designing, and constructing tsunami evacuation structures, and (2) evaluating the suitability of existing buildings to serve as tsunami evacuation shelters.

  7. Tsunamis along the Peru-Chile Trench: analysing the effect of co-seismic deformation on tsunami inundation

    NASA Astrophysics Data System (ADS)

    Omira, R.; Baptista, M. A.; Miranda, J. M. A.

    2016-12-01

    Large earthquakes occurring along the near-shore subduction zones have the potential of causing noticeable onshore co-seismic deformations. The onshore uplift and subsidence caused by the earthquake rupture can change the coastal land morphology and, therefore, control the tsunami impact. Along the Peru-Chile trench, where the occurrence of massive tsunamigenic earthquakes is quite frequent, the earthquake faults have important extent beneath the continent which results in significant seismic-induced deformation of the coastal zones as testified by the 2010 Mw8.8 Maule event. In this study, we investigate the effects of the seismic-induced onshore coastal deformation on the tsunami inundation for the Mw8.3 Illapel and the Mw8.8 Maule Chilean earthquakes that happened on September 16th, 2015 and February 27th, 2010, respectively. The study involves the relation between the co-seismic deformation and the tsunami impact in the near-field. For both studied tsunami events, we numerically simulate the near-field tsunami inundation with and without taking into account the earthquake rupture-induced changes on the coastal land morphology. We compare the simulated tsunami inundation extent and run-up with the field-survey data collected in previous works for both the 2015 Illapel and the 2010 Maule tsunamis. We find that the onshore component of the co-seismic deformations of the two Chilean subduction earthquakes lead to significant changes in coastal land morphology that mainly affect the inundation close to the source, which, therefore, explain the concentrated tsunami impact observed. This work received funding from project ASTARTE - Assessment Strategy and Risk Reduction for Tsunamis in Europe, Grant 603839, FP7-ENV2013 6.4-3, and project TSUMAPS - NEAM, agreement number ECHO/SUB/2015/718568/PREV26.

  8. Rescue, Archival and Discovery of Tsunami Events on Marigrams

    NASA Astrophysics Data System (ADS)

    Eble, M. C.; Wright, L. M.; Stroker, K. J.; Sweeney, A.; Lancaster, M.

    2017-12-01

    The Big Earth Data Initiative made possible the reformatting of paper marigram records on which were recorded measurements of the 1946, 1952, 1960, and 1964 tsunamis generated in the Pacific Ocean. Data contained within each record were determined to be invaluable for tsunami researchers and operational agencies with a responsibility for issuing warnings during a tsunami event. All marigrams were carefully digitized and metadata were generated to form numerical datasets in order to provide the tsunami and other research and application-driven communities with quality data. Data were then packaged as CF-compliant netCDF datafiles and submitted to the NOAA Centers for Environmental Information for long-term stewardship, archival, and public discovery of both original scanned images and data in digital netCDF and CSC formats. The PNG plots of each time series were generated and included with data packages to provide a visual representation of the numerical data sets. ISO-compliant metadata were compiled for the collection at the event level and individual DOIs were minted for each of the four events included in this project. The procedure followed to reformat each record in this four-event subset of the larger NCEI scanned marigram inventory is presented and discussed. The practical use of these data is presented to highlight that even infrequent measurements of tsunamis hold information that may potentially help constrain earthquake rupture area, provide estimates of earthquake co-seismic slip distribution, identify subsidence or uplift, and significantly increase the holdings of situ data available for tsunami model validation. These same data may also prove valuable to the broader global tide community for validation and further development of tide models and for investigation into the stability of tidal harmonic constants. Data reformatted as part of this project are PARR compliant and meet the requirements for Data Management, Discoverability, Accessibility

  9. Mental health in Aceh--Indonesia: A decade after the devastating tsunami 2004.

    PubMed

    Marthoenis, Marthoenis; Yessi, Sarifah; Aichberger, Marion C; Schouler-Ocak, Meryam

    2016-02-01

    The province of Aceh has suffered enormously from the perennial armed conflict and the devastating Tsunami in 2004. Despite the waves of external aid and national concern geared toward improving healthcare services as part of the reconstruction and rehabilitation efforts after the Tsunami, mental health services still require much attention. This paper aims to understand the mental healthcare system in Aceh Province, Indonesia; its main focus is on the burden, on the healthcare system, its development, service delivery and cultural issues from the devastating Tsunami in 2004 until the present. We reviewed those published and unpublished reports from the local and national government, from international instances (UN bodies, NGOs) and from the academic literature pertaining to mental health related programs conducted in Aceh. To some extent, mental health services in Aceh have been improved compared to their condition before the Tsunami. The development programs have focused on procurement of policy, improvement of human resources, and enhancing service delivery. Culture and religious beliefs shape the pathways by which people seek mental health treatment. The political system also determines the development of the mental health service in the province. The case of Aceh is a unique example where conflict and disaster serve as the catalysts toward the development of a mental healthcare system. Several factors contribute to the improvement of the mental health system, but security is a must. Whilst the Acehnese enjoy the improvements, some issues such as stigma, access to care and political fluctuations remain challenging. Copyright © 2016 Elsevier B.V. All rights reserved.

  10. Challenges of Tsunami Disaster and Extreme climate Events Along Coastal Region in Asia-Pacific

    NASA Astrophysics Data System (ADS)

    Chaudhari, S.

    2017-12-01

    South Asia is more vulnerable to Geo disasters and impacts of climate changes in recent years. On 26 December 2004 massive waves triggered by an earthquake surged into coastal communities in Asia and East Africa with devastating force. Hitting Indonesia, Sri Lanka , Thailand and India hardest, the deadly waves swept more than 200 000 people to their deaths. Also in an another extreme climate change phenomenon during 2005 - 2006,causing heavy rains and flooding situation in the South Asia - Europe and Pacific region ,more than 100 million population in these regions are witnessing the social- economical and ecological risks and impacts due to climate changes and Geohazards. For mitigating geo-disasters, marine hazards and rehabilitation during post tsunami period, scientific knowledge is needed, requiring experienced research communities who can train the local population during tsunami rehabilitation. Several civil society institutions jointly started the initiatives on the problem identifications in management of risks in geo-disasters, tsunami rehabilitation ,Vulnerability and risk assessments for Geohazards etc., to investigate problems related to social-economic and ecological risks and management issues resulting from the December tsunami and Geo- disaster, to aid mitigation planning in affected areas and to educate scientists and local populations to form a basis for sustainable and economic solutions. The poster aims to assess the potential risk and hazard , technical issues, problems and damage arising from Tsunami in the Asia-pacific region in coastal geology, coastal ecosystems and coastal environmental systems . This poster deals with the status and issues of interactions between Human and Ocean Systems, Geo-risks, marine risks along coastal region of Asia- Pacific and also human influence on the earth system . The poster presentation focuses on capacity building of the local population, scientists and researchers for integration of human and ocean

  11. Tsunami Warning Services for the U.S. and Canadian Atlantic Coasts

    NASA Astrophysics Data System (ADS)

    Whitmore, P. M.; Knight, W.

    2008-12-01

    In January 2005, the National Oceanic and Atmospheric Administration (NOAA) developed a tsunami warning program for the U.S. Atlantic and Gulf of Mexico coasts. Within a year, this program extended further to the Atlantic coast of Canada and the Caribbean Sea. Warning services are provided to U.S. and Canadian coasts (including Puerto Rico and the Virgin Islands) by the NOAA/West Coast and Alaska Tsunami Warning Center (WCATWC) while the NOAA/Pacific Tsunami Warning Center (PTWC) provides services for non-U.S. entities in the Caribbean Basin. The Puerto Rico Seismic Network (PRSN) is also an active partner in the Caribbean Basin warning system. While the nature of the tsunami threat in the Atlantic Basin is different than in the Pacific, the warning system philosophy is similar. That is, initial messages are based strictly on seismic data so that information is provided to those at greatest risk as fast as possible while supplementary messages are refined with sea level observations and forecasts when possible. The Tsunami Warning Centers (TWCs) acquire regional seismic data through many agencies, such as the United States Geological Survey, Earthquakes Canada, regional seismic networks, and the PRSN. Seismic data quantity and quality are generally sufficient throughout most of the Atlantic area-of-responsibility to issue initial information within five minutes of origin time. Sea level data are mainly provided by the NOAA/National Ocean Service. Coastal tide gage coverage is generally denser along the Atlantic coast than in the Pacific. Seven deep ocean pressure sensors (DARTs), operated by the National Weather Service (NWS) National Data Buoy Center, are located in the Atlantic Basin (5 in the Atlantic Ocean, 1 in the Caribbean, and 1 in the Gulf of Mexico). The DARTs provide TWCs with the means to verify tsunami generation in the Atlantic and provide critical data with which to calibrate forecast models. Tsunami warning response criteria in the Atlantic Basin

  12. Rapid Tsunami Inundation Forecast from Near-field or Far-field Earthquakes using Pre-computed Tsunami Database: Pelabuhan Ratu, Indonesia

    NASA Astrophysics Data System (ADS)

    Gusman, A. R.; Setiyono, U.; Satake, K.; Fujii, Y.

    2017-12-01

    We built pre-computed tsunami inundation database in Pelabuhan Ratu, one of tsunami-prone areas on the southern coast of Java, Indonesia. The tsunami database can be employed for a rapid estimation of tsunami inundation during an event. The pre-computed tsunami waveforms and inundations are from a total of 340 scenarios ranging from 7.5 to 9.2 in moment magnitude scale (Mw), including simple fault models of 208 thrust faults and 44 tsunami earthquakes on the plate interface, as well as 44 normal faults and 44 reverse faults in the outer-rise region. Using our tsunami inundation forecasting algorithm (NearTIF), we could rapidly estimate the tsunami inundation in Pelabuhan Ratu for three different hypothetical earthquakes. The first hypothetical earthquake is a megathrust earthquake type (Mw 9.0) offshore Sumatra which is about 600 km from Pelabuhan Ratu to represent a worst-case event in the far-field. The second hypothetical earthquake (Mw 8.5) is based on a slip deficit rate estimation from geodetic measurements and represents a most likely large event near Pelabuhan Ratu. The third hypothetical earthquake is a tsunami earthquake type (Mw 8.1) which often occur south off Java. We compared the tsunami inundation maps produced by the NearTIF algorithm with results of direct forward inundation modeling for the hypothetical earthquakes. The tsunami inundation maps produced from both methods are similar for the three cases. However, the tsunami inundation map from the inundation database can be obtained in much shorter time (1 min) than the one from a forward inundation modeling (40 min). These indicate that the NearTIF algorithm based on pre-computed inundation database is reliable and useful for tsunami warning purposes. This study also demonstrates that the NearTIF algorithm can work well even though the earthquake source is located outside the area of fault model database because it uses a time shifting procedure for the best-fit scenario searching.

  13. Tsunami early warning in the central Mediterranean: effect of the heterogeneity of the seismic source on the timely detectability of a tsunami

    NASA Astrophysics Data System (ADS)

    Armigliato, A.; Tinti, S.; Pagnoni, G.; Zaniboni, F.

    2012-04-01

    The central Mediterranean, and in particular the coasts of southern Italy, is one of the areas with the highest tsunami hazard in Europe. Limiting our attention to earthquake-generated tsunamis, the sources of historical events hitting this region, as well as the largest part of the potential tsunamigenic seismic sources mapped there, are found at very short distances from the closest shorelines, reducing the time needed for the tsunami to attack the coasts themselves to few minutes. This represents by itself an issue from the Tsunami Early Warning (TEW) perspective. To make the overall problem even more intriguing and challenging, it is known that large tsunamigenic earthquakes are generally characterized by highly heterogeneous distributions of the slip on the fault. This feature has been recognized clearly, for instance, in the giant Sumatra 2004, Chile 2010, and Japan 2011 earthquakes (magnitude 9.3, 8.8 and 9.0, respectively), but it was a property also of smaller magnitude events occurred in the region considered in this study, like the 28 December 1908 Messina Straits tsunamigenic earthquake (M=7.2). In terms of tsunami impact, the parent fault slip heterogeneity usually determines a high variability of run-up and inundation on the near-field coasts, which further complicates the TEW problem. The information on the details of the seismic source rupture coming from the seismic (and possibly geodetic) networks, though of primary importance, is typically available after a time that is comparable or larger than the time comprised between the generation and the impact of the tsunami. In the framework of the EU-FP7 TRIDEC Project, we investigate how a proper marine sensors coverage both along the coasts and offshore can help posing constraints on the characteristics of the source in near-real time. Our approach consists in discussing numerical tsunami scenarios in the central Mediterranean involving different slip distributions on the parent fault; the

  14. Synthetic tsunamis along the Israeli coast.

    PubMed

    Tobias, Joshua; Stiassnie, Michael

    2012-04-13

    The new mathematical model for tsunami evolution by Tobias & Stiassnie (Tobias & Stiassnie 2011 J. Geophys. Res. Oceans 116, C06026) is used to derive a synthetic tsunami database for the southern part of the Eastern Mediterranean coast. Information about coastal tsunami amplitudes, half-periods, currents and inundation levels is presented.

  15. Complex earthquake rupture and local tsunamis

    USGS Publications Warehouse

    Geist, E.L.

    2002-01-01

    In contrast to far-field tsunami amplitudes that are fairly well predicted by the seismic moment of subduction zone earthquakes, there exists significant variation in the scaling of local tsunami amplitude with respect to seismic moment. From a global catalog of tsunami runup observations this variability is greatest for the most frequently occuring tsunamigenic subduction zone earthquakes in the magnitude range of 7 < Mw < 8.5. Variability in local tsunami runup scaling can be ascribed to tsunami source parameters that are independent of seismic moment: variations in the water depth in the source region, the combination of higher slip and lower shear modulus at shallow depth, and rupture complexity in the form of heterogeneous slip distribution patterns. The focus of this study is on the effect that rupture complexity has on the local tsunami wave field. A wide range of slip distribution patterns are generated using a stochastic, self-affine source model that is consistent with the falloff of far-field seismic displacement spectra at high frequencies. The synthetic slip distributions generated by the stochastic source model are discretized and the vertical displacement fields from point source elastic dislocation expressions are superimposed to compute the coseismic vertical displacement field. For shallow subduction zone earthquakes it is demonstrated that self-affine irregularities of the slip distribution result in significant variations in local tsunami amplitude. The effects of rupture complexity are less pronounced for earthquakes at greater depth or along faults with steep dip angles. For a test region along the Pacific coast of central Mexico, peak nearshore tsunami amplitude is calculated for a large number (N = 100) of synthetic slip distribution patterns, all with identical seismic moment (Mw = 8.1). Analysis of the results indicates that for earthquakes of a fixed location, geometry, and seismic moment, peak nearshore tsunami amplitude can vary by a

  16. Tsunami mitigation and preparedness activities in California: Chapter L in The SAFRR (Science Application for Risk Reduction) Tsunami Scenario

    USGS Publications Warehouse

    Wilson, Rick; Miller, Kevin H.

    2013-01-01

    scenario-specific, tsunami evacuation “playbook” maps and guidance in-harbor hazard maps and offshore safety zones for potential boat evacuation during future distant source events; “probability-based” products for land-use planning under the California Seismic Hazard Mapping Act; and an expansion of real-time and post-tsunami field reconnaissance teams and information sharing through a state-wide clearinghouse. The state tsunami program has benefitted greatly from participation in the SAFRR tsunami scenario process, and hopes to continue this relationship with the U.S. Geological Survey to help improve tsunami preparedness in California.

  17. Tsunami Simulation Method Assimilating Ocean Bottom Pressure Data Near a Tsunami Source Region

    NASA Astrophysics Data System (ADS)

    Tanioka, Yuichiro

    2018-02-01

    A new method was developed to reproduce the tsunami height distribution in and around the source area, at a certain time, from a large number of ocean bottom pressure sensors, without information on an earthquake source. A dense cabled observation network called S-NET, which consists of 150 ocean bottom pressure sensors, was installed recently along a wide portion of the seafloor off Kanto, Tohoku, and Hokkaido in Japan. However, in the source area, the ocean bottom pressure sensors cannot observe directly an initial ocean surface displacement. Therefore, we developed the new method. The method was tested and functioned well for a synthetic tsunami from a simple rectangular fault with an ocean bottom pressure sensor network using 10 arc-min, or 20 km, intervals. For a test case that is more realistic, ocean bottom pressure sensors with 15 arc-min intervals along the north-south direction and sensors with 30 arc-min intervals along the east-west direction were used. In the test case, the method also functioned well enough to reproduce the tsunami height field in general. These results indicated that the method could be used for tsunami early warning by estimating the tsunami height field just after a great earthquake without the need for earthquake source information.

  18. The potential role of real-time geodetic observations in tsunami early warning

    NASA Astrophysics Data System (ADS)

    Tinti, Stefano; Armigliato, Alberto

    2016-04-01

    Tsunami warning systems (TWS) have the final goal to launch a reliable alert of an incoming dangerous tsunami to coastal population early enough to allow people to flee from the shore and coastal areas according to some evacuation plans. In the last decade, especially after the catastrophic 2004 Boxing Day tsunami in the Indian Ocean, much attention has been given to filling gaps in the existing TWSs (only covering the Pacific Ocean at that time) and to establishing new TWSs in ocean regions that were uncovered. Typically, TWSs operating today work only on earthquake-induced tsunamis. TWSs estimate quickly earthquake location and size by real-time processing seismic signals; on the basis of some pre-defined "static" procedures (either based on decision matrices or on pre-archived tsunami simulations), assess the tsunami alert level on a large regional scale and issue specific bulletins to a pre-selected recipients audience. Not unfrequently these procedures result in generic alert messages with little value. What usually operative TWSs do not do, is to compute earthquake focal mechanism, to calculate the co-seismic sea-floor displacement, to assess the initial tsunami conditions, to input these data into tsunami simulation models and to compute tsunami propagation up to the threatened coastal districts. This series of steps is considered nowadays too time consuming to provide the required timely alert. An equivalent series of steps could start from the same premises (earthquake focal parameters) and reach the same result (tsunami height at target coastal areas) by replacing the intermediate steps of real-time tsunami simulations with proper selection from a large archive of pre-computed tsunami scenarios. The advantage of real-time simulations and of archived scenarios selection is that estimates are tailored to the specific occurring tsunami and alert can be more detailed (less generic) and appropriate for local needs. Both these procedures are still at an

  19. Holocene Tsunamis in Avachinsky Bay, Kamchatka, Russia

    NASA Astrophysics Data System (ADS)

    Pinegina, Tatiana K.; Bazanova, Lilya I.; Zelenin, Egor A.; Bourgeois, Joanne; Kozhurin, Andrey I.; Medvedev, Igor P.; Vydrin, Danil S.

    2018-04-01

    This article presents results of the study of tsunami deposits on the Avachinsky Bay coast, Kurile-Kamchatka island arc, NW Pacific. We used tephrochronology to assign ages to the tsunami deposits, to correlate them between excavations, and to restore paleo-shoreline positions. In addition to using established regional marker tephra, we establish a detailed tephrochronology for more local tephra from Avachinsky volcano. For the first time in this area, proximal to Kamchatka's primary population, we reconstruct the vertical runup and horizontal inundation for 33 tsunamis recorded over the past 4200 years, 5 of which are historical events - 1737, 1792, 1841, 1923 (Feb) and 1952. The runup heights for all 33 tsunamis range from 1.9 to 5.7 m, and inundation distances from 40 to 460 m. The average recurrence for historical events is 56 years and for the entire study period 133 years. The obtained data makes it possible to calculate frequencies of tsunamis by size, using reconstructed runup and inundation, which is crucial for tsunami hazard assessment and long-term tsunami forecasting. Considering all available data on the distribution of historical and paleo-tsunami heights along eastern Kamchatka, we conclude that the southern part of the Kamchatka subduction zone generates stronger tsunamis than its northern part. The observed differences could be associated with variations in the relative velocity and/or coupling between the downgoing Pacific Plate and Kamchatka.

  20. Holocene Tsunamis in Avachinsky Bay, Kamchatka, Russia

    NASA Astrophysics Data System (ADS)

    Pinegina, Tatiana K.; Bazanova, Lilya I.; Zelenin, Egor A.; Bourgeois, Joanne; Kozhurin, Andrey I.; Medvedev, Igor P.; Vydrin, Danil S.

    2018-03-01

    This article presents results of the study of tsunami deposits on the Avachinsky Bay coast, Kurile-Kamchatka island arc, NW Pacific. We used tephrochronology to assign ages to the tsunami deposits, to correlate them between excavations, and to restore paleo-shoreline positions. In addition to using established regional marker tephra, we establish a detailed tephrochronology for more local tephra from Avachinsky volcano. For the first time in this area, proximal to Kamchatka's primary population, we reconstruct the vertical runup and horizontal inundation for 33 tsunamis recorded over the past 4200 years, 5 of which are historical events - 1737, 1792, 1841, 1923 (Feb) and 1952. The runup heights for all 33 tsunamis range from 1.9 to 5.7 m, and inundation distances from 40 to 460 m. The average recurrence for historical events is 56 years and for the entire study period 133 years. The obtained data makes it possible to calculate frequencies of tsunamis by size, using reconstructed runup and inundation, which is crucial for tsunami hazard assessment and long-term tsunami forecasting. Considering all available data on the distribution of historical and paleo-tsunami heights along eastern Kamchatka, we conclude that the southern part of the Kamchatka subduction zone generates stronger tsunamis than its northern part. The observed differences could be associated with variations in the relative velocity and/or coupling between the downgoing Pacific Plate and Kamchatka.

  1. Source mechanisms of volcanic tsunamis.

    PubMed

    Paris, Raphaël

    2015-10-28

    Volcanic tsunamis are generated by a variety of mechanisms, including volcano-tectonic earthquakes, slope instabilities, pyroclastic flows, underwater explosions, shock waves and caldera collapse. In this review, we focus on the lessons that can be learnt from past events and address the influence of parameters such as volume flux of mass flows, explosion energy or duration of caldera collapse on tsunami generation. The diversity of waves in terms of amplitude, period, form, dispersion, etc. poses difficulties for integration and harmonization of sources to be used for numerical models and probabilistic tsunami hazard maps. In many cases, monitoring and warning of volcanic tsunamis remain challenging (further technical and scientific developments being necessary) and must be coupled with policies of population preparedness. © 2015 The Author(s).

  2. A~probabilistic tsunami hazard assessment for Indonesia

    NASA Astrophysics Data System (ADS)

    Horspool, N.; Pranantyo, I.; Griffin, J.; Latief, H.; Natawidjaja, D. H.; Kongko, W.; Cipta, A.; Bustaman, B.; Anugrah, S. D.; Thio, H. K.

    2014-05-01

    Probabilistic hazard assessments are a fundamental tool for assessing the threats posed by hazards to communities and are important for underpinning evidence based decision making on risk mitigation activities. Indonesia has been the focus of intense tsunami risk mitigation efforts following the 2004 Indian Ocean Tsunami, but this has been largely concentrated on the Sunda Arc, with little attention to other tsunami prone areas of the country such as eastern Indonesia. We present the first nationally consistent Probabilistic Tsunami Hazard Assessment (PTHA) for Indonesia. This assessment produces time independent forecasts of tsunami hazard at the coast from tsunami generated by local, regional and distant earthquake sources. The methodology is based on the established monte-carlo approach to probabilistic seismic hazard assessment (PSHA) and has been adapted to tsunami. We account for sources of epistemic and aleatory uncertainty in the analysis through the use of logic trees and through sampling probability density functions. For short return periods (100 years) the highest tsunami hazard is the west coast of Sumatra, south coast of Java and the north coast of Papua. For longer return periods (500-2500 years), the tsunami hazard is highest along the Sunda Arc, reflecting larger maximum magnitudes along the Sunda Arc. The annual probability of experiencing a tsunami with a height at the coast of > 0.5 m is greater than 10% for Sumatra, Java, the Sunda Islands (Bali, Lombok, Flores, Sumba) and north Papua. The annual probability of experiencing a tsunami with a height of >3.0 m, which would cause significant inundation and fatalities, is 1-10% in Sumatra, Java, Bali, Lombok and north Papua, and 0.1-1% for north Sulawesi, Seram and Flores. The results of this national scale hazard assessment provide evidence for disaster managers to prioritise regions for risk mitigation activities and/or more detailed hazard or risk assessment.

  3. A probabilistic tsunami hazard assessment for Indonesia

    NASA Astrophysics Data System (ADS)

    Horspool, N.; Pranantyo, I.; Griffin, J.; Latief, H.; Natawidjaja, D. H.; Kongko, W.; Cipta, A.; Bustaman, B.; Anugrah, S. D.; Thio, H. K.

    2014-11-01

    Probabilistic hazard assessments are a fundamental tool for assessing the threats posed by hazards to communities and are important for underpinning evidence-based decision-making regarding risk mitigation activities. Indonesia has been the focus of intense tsunami risk mitigation efforts following the 2004 Indian Ocean tsunami, but this has been largely concentrated on the Sunda Arc with little attention to other tsunami prone areas of the country such as eastern Indonesia. We present the first nationally consistent probabilistic tsunami hazard assessment (PTHA) for Indonesia. This assessment produces time-independent forecasts of tsunami hazards at the coast using data from tsunami generated by local, regional and distant earthquake sources. The methodology is based on the established monte carlo approach to probabilistic seismic hazard assessment (PSHA) and has been adapted to tsunami. We account for sources of epistemic and aleatory uncertainty in the analysis through the use of logic trees and sampling probability density functions. For short return periods (100 years) the highest tsunami hazard is the west coast of Sumatra, south coast of Java and the north coast of Papua. For longer return periods (500-2500 years), the tsunami hazard is highest along the Sunda Arc, reflecting the larger maximum magnitudes. The annual probability of experiencing a tsunami with a height of > 0.5 m at the coast is greater than 10% for Sumatra, Java, the Sunda islands (Bali, Lombok, Flores, Sumba) and north Papua. The annual probability of experiencing a tsunami with a height of > 3.0 m, which would cause significant inundation and fatalities, is 1-10% in Sumatra, Java, Bali, Lombok and north Papua, and 0.1-1% for north Sulawesi, Seram and Flores. The results of this national-scale hazard assessment provide evidence for disaster managers to prioritise regions for risk mitigation activities and/or more detailed hazard or risk assessment.

  4. Bodrum-Kos (Turkey-Greece) Mw 6.6 earthquake and tsunami of 20 July 2017: a test for the Mediterranean tsunami warning system

    NASA Astrophysics Data System (ADS)

    Heidarzadeh, Mohammad; Necmioglu, Ocal; Ishibe, Takeo; Yalciner, Ahmet C.

    2017-12-01

    Various Tsunami Service Providers (TSPs) within the Mediterranean Basin supply tsunami warnings including CAT-INGV (Italy), KOERI-RETMC (Turkey), and NOA/HL-NTWC (Greece). The 20 July 2017 Bodrum-Kos (Turkey-Greece) earthquake (Mw 6.6) and tsunami provided an opportunity to assess the response from these TSPs. Although the Bodrum-Kos tsunami was moderate (e.g., runup of 1.9 m) with little damage to properties, it was the first noticeable tsunami in the Mediterranean Basin since the 21 May 2003 western Mediterranean tsunami. Tsunami waveform analysis revealed that the trough-to-crest height was 34.1 cm at the near-field tide gauge station of Bodrum (Turkey). Tsunami period band was 2-30 min with peak periods at 7-13 min. We proposed a source fault model for this tsunami with the length and width of 25 and 15 km and uniform slip of 0.4 m. Tsunami simulations using both nodal planes produced almost same results in terms of agreement between tsunami observations and simulations. Different TSPs provided tsunami warnings at 10 min (CAT-INGV), 19 min (KOERI-RETMC), and 18 min (NOA/HL-NTWC) after the earthquake origin time. Apart from CAT-INGV, whose initial Mw estimation differed 0.2 units with respect to the final value, the response from the other two TSPs came relatively late compared to the desired warning time of 10 min, given the difficulties for timely and accurate calculation of earthquake magnitude and tsunami impact assessment. It is argued that even if a warning time of 10 min was achieved, it might not have been sufficient for addressing near-field tsunami hazards. Despite considerable progress and achievements made within the upstream components of NEAMTWS (North East Atlantic, Mediterranean and Connected seas Tsunami Warning System), the experience from this moderate tsunami may highlight the need for improving operational capabilities of TSPs, but more importantly for effectively integrating civil protection authorities into NEAMTWS and strengthening

  5. Why did we lose the 59 climbers in 2014 Ontake Volcano Eruption?

    NASA Astrophysics Data System (ADS)

    Kimata, F.

    2015-12-01

    The first historical eruption at Ontake volcano, central Japan was in 1979, and it was a phreatic eruption. Until then, most Japanese volcanologists understood that Ontake is a dormant or an extinct volcano. Re-examination of active volcanoes was done after the eruption.After the first historical eruption in 1979, two small eruptions are repeated in 1991 and 2007. Through the three eruptions, nobody has got injured. The last eruption on September 27, 2014, we lost 65 people included missing. Because it was fine weekend and there were many climbers on the summit. The eruption was almost at lunchtime. Clearly, casualties by tsunamis are inhabitants along the coastlines, and casualties by eruption are visitors not inhabitants around the volcano. Basically, visitors have small information of Ontake volcano. After the accident, one mountain guide tells us that we never have long broken such as lunch around the summit, because an active creator is close, and they are afraid of the volcano gas accidents. All casualties by eruption were lost their lives in the area of 1.0 km distance from the 2014 creators. In 2004 Sumatra Earthquake Tsunami, we could not recognize the tsunami inspiration between the habitants in Banda Aceh, Sumatra. They have no idea of tsunami, and they called "Rising Sea" never"Tsunami". As the result, they lost many habitants close to the coast. In 2011 Tohoku Earthquake Tsunami, when habitants felt strong shaking close to coast, they understood the tsunami coming. 0ver 50 % habitants decide to evacuate from the coast. However, 20-30 % habitants believe in themselves no tsunami attacking for them. As a result we lost many habitants. Additionally, the tsunami height was higher than broadcasting one by JMA. According to the results of the questionnaire survey in climbers or bereaved families of the eruption day on Ontake volcano (Shinano Mainich Newspaper, 2015), 39 % of them were climbing no understand of "Ontake active volcano". Moreover, only 10

  6. Sandy signs of a tsunami's onshore depth and speed

    USGS Publications Warehouse

    Huntington, K.; Bourgeois, J.; Gelfenbaum, G.; Lynett, P.; Jaffe, B.; Yeh, H.; Weiss, R.

    2007-01-01

    Tsunamis rank among the most devastating and unpredictable natural hazards to affect coastal areas. Just 3 years ago, in December 2004, the Indian Ocean tsunami caused more than 225,000 deaths. Like many extreme events, however, destructive tsunamis strike rarely enough that written records span too little time to quantify tsunami hazard and risk. Tsunami deposits preserved in the geologic record have been used to extend the record of tsunami occurrence but not the magnitude of past events. To quantify tsunami hazard further, we asked the following question: Can ancient deposits also provide guidance on the expectable water depths and speeds for future tsunamis?

  7. Community exposure to tsunami hazards in California

    USGS Publications Warehouse

    Wood, Nathan J.; Ratliff, Jamie; Peters, Jeff

    2013-01-01

    Evidence of past events and modeling of potential events suggest that tsunamis are significant threats to low-lying communities on the California coast. To reduce potential impacts of future tsunamis, officials need to understand how communities are vulnerable to tsunamis and where targeted outreach, preparedness, and mitigation efforts may be warranted. Although a maximum tsunami-inundation zone based on multiple sources has been developed for the California coast, the populations and businesses in this zone have not been documented in a comprehensive way. To support tsunami preparedness and risk-reduction planning in California, this study documents the variations among coastal communities in the amounts, types, and percentages of developed land, human populations, and businesses in the maximum tsunami-inundation zone. The tsunami-inundation zone includes land in 94 incorporated cities, 83 unincorporated communities, and 20 counties on the California coast. According to 2010 U.S. Census Bureau data, this tsunami-inundation zone contains 267,347 residents (1 percent of the 20-county resident population), of which 13 percent identify themselves as Hispanic or Latino, 14 percent identify themselves as Asian, 16 percent are more than 65 years in age, 12 percent live in unincorporated areas, and 51 percent of the households are renter occupied. Demographic attributes related to age, race, ethnicity, and household status of residents in tsunami-prone areas demonstrate substantial range among communities that exceed these regional averages. The tsunami-inundation zone in several communities also has high numbers of residents in institutionalized and noninstitutionalized group quarters (for example, correctional facilities and military housing, respectively). Communities with relatively high values in the various demographic categories are identified throughout the report. The tsunami-inundation zone contains significant nonresidential populations based on 2011 economic

  8. How soon is too soon? When to cancel a warning after a damaging tsunami

    NASA Astrophysics Data System (ADS)

    Fryer, G. J.; Becker, N. C.; Wang, D.; Weinstein, S.; Richards, K.

    2012-12-01

    Following an earthquake a tsunami warning center (TWC) must determine if a coastal evacuation is necessary and must do so fast enough for the warning to be useful to affected coastlines. Once a damaging tsunami has arrived, the TWC must decide when to cancel its warning, a task often more challenging than the initial hazard assessment. Here we demonstrate the difficulties by investigating the impact of the Tohoku tsunami of 11 March 2011 on the State of Hawaii, which relies on the Pacific Tsunami Warning Center (PTWC) for tsunami hazard guidance. PTWC issued a Tsunami Watch for Hawaii at 10 March 1956 HST (10 minutes after the earthquake) and upgraded to a Tsunami Warning at 2131 HST. The tsunami arrived in Hawaii just before 0300 HST the next day, reached a maximum runup of over 5 m, and did roughly $50 million in damage throughout the state. PTWC downgraded the Warning to an Advisory at 0730 HST, and canceled the Advisory at 1140 HST. The timing of the downgrade was appropriate—by then it was safe for coastal residents to re-enter the evacuation zone but not to enter the water—but in retrospect PTWC cancelled its Advisory too early. By late morning tide gauges throughout the state had all registered maximum wave heights of 30 cm or less for a couple of hours, so PTWC cancelled. The Center was unaware, however, of ocean behavior at locations without instruments. At Ma'alaea Harbor on the Island of Maui, for example, sea level oscillations exposed the harbor bottom every 20 minutes for several hours after the cancellation. At Waikiki on Oahu, lifeguards rescued 25 swimmers (who had either ignored or were unaware of the cancellation message's caution about hazardous currents) in the hours after the cancellation and performed CPR on one near-drowning victim. Fortunately, there were no deaths. Because of dangerous surges, ocean safety officials closed Hanauma Bay, a popular snorkeling spot on Oahu, for a full day after the tsunami hit. They reassessed the bay the

  9. NOAA Propagation Database Value in Tsunami Forecast Guidance

    NASA Astrophysics Data System (ADS)

    Eble, M. C.; Wright, L. M.

    2016-02-01

    The National Oceanic and Atmospheric Administration (NOAA) Center for Tsunami Research (NCTR) has developed a tsunami forecasting capability that combines a graphical user interface with data ingestion and numerical models to produce estimates of tsunami wave arrival times, amplitudes, current or water flow rates, and flooding at specific coastal communities. The capability integrates several key components: deep-ocean observations of tsunamis in real-time, a basin-wide pre-computed propagation database of water level and flow velocities based on potential pre-defined seismic unit sources, an inversion or fitting algorithm to refine the tsunami source based on the observations during an event, and tsunami forecast models. As tsunami waves propagate across the ocean, observations from the deep ocean are automatically ingested into the application in real-time to better define the source of the tsunami itself. Since passage of tsunami waves over a deep ocean reporting site is not immediate, we explore the value of the NOAA propagation database in providing placeholder forecasts in advance of deep ocean observations. The propagation database consists of water elevations and flow velocities pre-computed for 50 x 100 [km] unit sources in a continuous series along all known ocean subduction zones. The 2011 Japan Tohoku tsunami is presented as the case study

  10. Development of new tsunami detection algorithms for high frequency radars and application to tsunami warning in British Columbia, Canada

    NASA Astrophysics Data System (ADS)

    Grilli, S. T.; Guérin, C. A.; Shelby, M. R.; Grilli, A. R.; Insua, T. L.; Moran, P., Jr.

    2016-12-01

    A High-Frequency (HF) radar was installed by Ocean Networks Canada in Tofino, BC, to detect tsunamis from far- and near-field seismic sources; in particular, from the Cascadia Subduction Zone. This HF radar can measure ocean surface currents up to a 70-85 km range, depending on atmospheric conditions, based on the Doppler shift they cause in ocean waves at the Bragg frequency. In earlier work, we showed that tsunami currents must be at least 0.15 m/s to be directly detectable by a HF radar, when considering environmental noise and background currents (from tide/mesoscale circulation). This limits a direct tsunami detection to shallow water areas where currents are sufficiently strong due to wave shoaling and, hence, to the continental shelf. It follows that, in locations with a narrow shelf, warning times using a direct inversion method will be small. To detect tsunamis in deeper water, beyond the continental shelf, we proposed a new algorithm that does not require directly inverting currents, but instead is based on observing changes in patterns of spatial correlations of the raw radar signal between two radar cells located along the same wave ray, after time is shifted by the tsunami propagation time along the ray. A pattern change will indicate the presence of a tsunami. We validated this new algorithm for idealized tsunami wave trains propagating over a simple seafloor geometry in a direction normally incident to shore. Here, we further develop, extend, and validate the algorithm for realistic case studies of seismic tsunami sources impacting Vancouver Island, BC. Tsunami currents, computed with a state-of-the-art long wave model are spatially averaged over cells aligned along individual wave rays, located within the radar sweep area, obtained by solving the wave geometric optic equation; for long waves, such rays and tsunami propagation times along those are only function of the seafloor bathymetry, and hence can be precalculated for different incident tsunami

  11. Assessing historical rate changes in global tsunami occurrence

    USGS Publications Warehouse

    Geist, E.L.; Parsons, T.

    2011-01-01

    The global catalogue of tsunami events is examined to determine if transient variations in tsunami rates are consistent with a Poisson process commonly assumed for tsunami hazard assessments. The primary data analyzed are tsunamis with maximum sizes >1m. The record of these tsunamis appears to be complete since approximately 1890. A secondary data set of tsunamis >0.1m is also analyzed that appears to be complete since approximately 1960. Various kernel density estimates used to determine the rate distribution with time indicate a prominent rate change in global tsunamis during the mid-1990s. Less prominent rate changes occur in the early- and mid-20th century. To determine whether these rate fluctuations are anomalous, the distribution of annual event numbers for the tsunami catalogue is compared to Poisson and negative binomial distributions, the latter of which includes the effects of temporal clustering. Compared to a Poisson distribution, the negative binomial distribution model provides a consistent fit to tsunami event numbers for the >1m data set, but the Poisson null hypothesis cannot be falsified for the shorter duration >0.1m data set. Temporal clustering of tsunami sources is also indicated by the distribution of interevent times for both data sets. Tsunami event clusters consist only of two to four events, in contrast to protracted sequences of earthquakes that make up foreshock-main shock-aftershock sequences. From past studies of seismicity, it is likely that there is a physical triggering mechanism responsible for events within the tsunami source 'mini-clusters'. In conclusion, prominent transient rate increases in the occurrence of global tsunamis appear to be caused by temporal grouping of geographically distinct mini-clusters, in addition to the random preferential location of global M >7 earthquakes along offshore fault zones.

  12. Tsunami hazard assessment in the Hudson River Estuary based on dynamic tsunami-tide simulations

    NASA Astrophysics Data System (ADS)

    Shelby, Michael; Grilli, Stéphan T.; Grilli, Annette R.

    2016-12-01

    This work is part of a tsunami inundation mapping activity carried out along the US East Coast since 2010, under the auspice of the National Tsunami Hazard Mitigation program (NTHMP). The US East Coast features two main estuaries with significant tidal forcing, which are bordered by numerous critical facilities (power plants, major harbors,...) as well as densely built low-level areas: Chesapeake Bay and the Hudson River Estuary (HRE). HRE is the object of this work, with specific focus on assessing tsunami hazard in Manhattan, the Hudson and East River areas. In the NTHMP work, inundation maps are computed as envelopes of maximum surface elevation along the coast and inland, by simulating the impact of selected probable maximum tsunamis (PMT) in the Atlantic ocean margin and basin. At present, such simulations assume a static reference level near shore equal to the local mean high water (MHW) level. Here, instead we simulate maximum inundation in the HRE resulting from dynamic interactions between the incident PMTs and a tide, which is calibrated to achieve MHW at its maximum level. To identify conditions leading to maximum tsunami inundation, each PMT is simulated for four different phases of the tide and results are compared to those obtained for a static reference level. We first separately simulate the tide and the three PMTs that were found to be most significant for the HRE. These are caused by: (1) a flank collapse of the Cumbre Vieja Volcano (CVV) in the Canary Islands (with a 80 km3 volume representing the most likely extreme scenario); (2) an M9 coseismic source in the Puerto Rico Trench (PRT); and (3) a large submarine mass failure (SMF) in the Hudson River canyon of parameters similar to the 165 km3 historical Currituck slide, which is used as a local proxy for the maximum possible SMF. Simulations are performed with the nonlinear and dispersive long wave model FUNWAVE-TVD, in a series of nested grids of increasing resolution towards the coast, by one

  13. Washington Tsunami Hazard Mitigation Program

    NASA Astrophysics Data System (ADS)

    Walsh, T. J.; Schelling, J.

    2012-12-01

    Washington State has participated in the National Tsunami Hazard Mitigation Program (NTHMP) since its inception in 1995. We have participated in the tsunami inundation hazard mapping, evacuation planning, education, and outreach efforts that generally characterize the NTHMP efforts. We have also investigated hazards of significant interest to the Pacific Northwest. The hazard from locally generated earthquakes on the Cascadia subduction zone, which threatens tsunami inundation in less than hour following a magnitude 9 earthquake, creates special problems for low-lying accretionary shoreforms in Washington, such as the spits of Long Beach and Ocean Shores, where high ground is not accessible within the limited time available for evacuation. To ameliorate this problem, we convened a panel of the Applied Technology Council to develop guidelines for construction of facilities for vertical evacuation from tsunamis, published as FEMA 646, now incorporated in the International Building Code as Appendix M. We followed this with a program called Project Safe Haven (http://www.facebook.com/ProjectSafeHaven) to site such facilities along the Washington coast in appropriate locations and appropriate designs to blend with the local communities, as chosen by the citizens. This has now been completed for the entire outer coast of Washington. In conjunction with this effort, we have evaluated the potential for earthquake-induced ground failures in and near tsunami hazard zones to help develop cost estimates for these structures and to establish appropriate tsunami evacuation routes and evacuation assembly areas that are likely to to be available after a major subduction zone earthquake. We intend to continue these geotechnical evaluations for all tsunami hazard zones in Washington.

  14. Earthquake and Tsunami booklet based on two Indonesia earthquakes

    NASA Astrophysics Data System (ADS)

    Hayashi, Y.; Aci, M.

    2014-12-01

    Many destructive earthquakes occurred during the last decade in Indonesia. These experiences are very important precepts for the world people who live in earthquake and tsunami countries. We are collecting the testimonies of tsunami survivors to clarify successful evacuation process and to make clear the characteristic physical behaviors of tsunami near coast. We research 2 tsunami events, 2004 Indian Ocean tsunami and 2010 Mentawai slow earthquake tsunami. Many video and photographs were taken by people at some places in 2004 Indian ocean tsunami disaster; nevertheless these were few restricted points. We didn't know the tsunami behavior in another place. In this study, we tried to collect extensive information about tsunami behavior not only in many places but also wide time range after the strong shake. In Mentawai case, the earthquake occurred in night, so there are no impressive photos. To collect detail information about evacuation process from tsunamis, we contrived the interview method. This method contains making pictures of tsunami experience from the scene of victims' stories. In 2004 Aceh case, all survivors didn't know tsunami phenomena. Because there were no big earthquakes with tsunami for one hundred years in Sumatra region, public people had no knowledge about tsunami. This situation was highly improved in 2010 Mentawai case. TV programs and NGO or governmental public education programs about tsunami evacuation are widespread in Indonesia. Many people know about fundamental knowledge of earthquake and tsunami disasters. We made drill book based on victim's stories and painted impressive scene of 2 events. We used the drill book in disaster education event in school committee of west Java. About 80 % students and teachers evaluated that the contents of the drill book are useful for correct understanding.

  15. The July 17, 2006 Java Tsunami: Tsunami Modeling and the Probable Causes of the Extreme Run-up

    NASA Astrophysics Data System (ADS)

    Kongko, W.; Schlurmann, T.

    2009-04-01

    On 17 July 2006, an Earthquake magnitude Mw 7.8 off the south coast of west Java, Indonesia generated tsunami that affected over 300 km of south Java coastline and killed more than 600 people. Observed tsunami heights and field measurement of run-up distributions were uniformly scattered approximately 5 to 7 m along a 200 km coastal stretch; remarkably, a locally focused tsunami run-up height exceeding 20 m at Nusakambangan Island has been observed. Within the framework of the German Indonesia Tsunami Early Warning System (GITEWS) Project, a high-resolution near-shore bathymetrical survey equipped by multi-beam echo-sounder has been recently conducted. Additional geodata have been collected using Intermap Technologies STAR-4 airborne interferometric SAR data acquisition system on a 5 m ground sample distance basis in order to establish a most-sophisticated Digital Terrain Model (DTM). This paper describes the outcome of tsunami modelling approaches using high resolution data of bathymetry and topography being part of a general case study in Cilacap, Indonesia, and medium resolution data for other area along coastline of south Java Island. By means of two different seismic deformation models to mimic the tsunami source generation, a numerical code based on the 2D nonlinear shallow water equations is used to simulate probable tsunami run-up scenarios. Several model tests are done and virtual points in offshore, near-shore, coastline, as well as tsunami run-up on the coast are collected. For the purpose of validation, the model results are compared with field observations and sea level data observed at several tide gauges stations. The performance of numerical simulations and correlations with observed field data are highlighted, and probable causes for the extreme wave heights and run-ups are outlined. References Ammon, C.J., Kanamori, K., Lay, T., and Velasco, A., 2006. The July 2006 Java Tsunami Earthquake, Geophysical Research Letters, 33(L24308). Fritz, H

  16. Application of binary diagnostic ratios of polycyclic aromatic hydrocarbons for identification of Tsunami 2004 backwash sediments in Khao Lak, Thailand.

    PubMed

    Pongpiachan, Siwatt

    2014-01-01

    Identification of Tsunami deposits has long been a controversial issue among geologists. Although there are many identification criteria based on the sedimentary characteristics of unequivocal Tsunami deposits, the concept still remains ambiguous. Apart from relying on some conventional geological, sedimentological, and geoscientific records, geologists need some alternative "proxies" to identify the existence of Tsunami backwash in core sediments. Polycyclic aromatic hydrocarbons (PAHs) are a class of very stable organic molecules, which can usually be presented as complex mixtures of several hundred congeners; one can assume that the "Tsunami backwash deposits" possess different fingerprints of PAHs apart from those of "typical marine sediments." In this study, three-dimensional plots of PAH binary ratios successfully identify the Tsunami backwash deposits in comparison with those of global marine sediments. The applications of binary ratios of PAHs coupled with HCA are the basis for developing site-specific Tsunami deposit identification criteria that can be applied in paleotsunami deposits investigations.

  17. The public health impact of tsunami disasters.

    PubMed

    Keim, Mark E

    2011-01-01

    Tsunamis have the potential to cause an enormous impact on the health of millions of people. During the last half of the twentieth century, more people were killed by tsunamis than by earthquakes. Most recently, a major emergency response operation has been underway in northeast Japan following a devastating tsunami triggered by the biggest earthquake on record in Japan. This natural disaster has been described as the most expensive in world history. There are few resources in the public health literature that describe the characteristics and epidemiology of tsunami-related disasters, as a whole. This article reviews the phenomenology and impact of tsunamis as a significant public health hazard.

  18. TIDE TOOL: Open-Source Sea-Level Monitoring Software for Tsunami Warning Systems

    NASA Astrophysics Data System (ADS)

    Weinstein, S. A.; Kong, L. S.; Becker, N. C.; Wang, D.

    2012-12-01

    A tsunami warning center (TWC) typically decides to issue a tsunami warning bulletin when initial estimates of earthquake source parameters suggest it may be capable of generating a tsunami. A TWC, however, relies on sea-level data to provide prima facie evidence for the existence or non-existence of destructive tsunami waves and to constrain tsunami wave height forecast models. In the aftermath of the 2004 Sumatra disaster, the International Tsunami Information Center asked the Pacific Tsunami Warning Center (PTWC) to develop a platform-independent, easy-to-use software package to give nascent TWCs the ability to process WMO Global Telecommunications System (GTS) sea-level messages and to analyze the resulting sea-level curves (marigrams). In response PTWC developed TIDE TOOL that has since steadily grown in sophistication to become PTWC's operational sea-level processing system. TIDE TOOL has two main parts: a decoder that reads GTS sea-level message logs, and a graphical user interface (GUI) written in the open-source platform-independent graphical toolkit scripting language Tcl/Tk. This GUI consists of dynamic map-based clients that allow the user to select and analyze a single station or groups of stations by displaying their marigams in strip-chart or screen-tiled forms. TIDE TOOL also includes detail maps of each station to show each station's geographical context and reverse tsunami travel time contours to each station. TIDE TOOL can also be coupled to the GEOWARE™ TTT program to plot tsunami travel times and to indicate the expected tsunami arrival time on the marigrams. Because sea-level messages are structured in a rich variety of formats TIDE TOOL includes a metadata file, COMP_META, that contains all of the information needed by TIDE TOOL to decode sea-level data as well as basic information such as the geographical coordinates of each station. TIDE TOOL can therefore continuously decode theses sea-level messages in real-time and display the time

  19. A short history of tsunami research and countermeasures in Japan

    PubMed Central

    Shuto, Nobuo; Fujima, Koji

    2009-01-01

    The tsunami science and engineering began in Japan, the country the most frequently hit by local and distant tsunamis. The gate to the tsunami science was opened in 1896 by a giant local tsunami of the highest run-up height of 38 m that claimed 22,000 lives. The crucial key was a tide record to conclude that this tsunami was generated by a “tsunami earthquake”. In 1933, the same area was hit again by another giant tsunami. A total system of tsunami disaster mitigation including 10 “hard” and “soft” countermeasures was proposed. Relocation of dwelling houses to high ground was the major countermeasures. The tsunami forecasting began in 1941. In 1960, the Chilean Tsunami damaged the whole Japanese Pacific coast. The height of this tsunami was 5–6 m at most. The countermeasures were the construction of structures including the tsunami breakwater which was the first one in the world. Since the late 1970s, tsunami numerical simulation was developed in Japan and refined to become the UNESCO standard scheme that was transformed to 22 different countries. In 1983, photos and videos of a tsunami in the Japan Sea revealed many faces of tsunami such as soliton fission and edge bores. The 1993 tsunami devastated a town protected by seawalls 4.5 m high. This experience introduced again the idea of comprehensive countermeasures, consisted of defense structure, tsunami-resistant town development and evacuation based on warning. PMID:19838008

  20. A short history of tsunami research and countermeasures in Japan.

    PubMed

    Shuto, Nobuo; Fujima, Koji

    2009-01-01

    The tsunami science and engineering began in Japan, the country the most frequently hit by local and distant tsunamis. The gate to the tsunami science was opened in 1896 by a giant local tsunami of the highest run-up height of 38 m that claimed 22,000 lives. The crucial key was a tide record to conclude that this tsunami was generated by a "tsunami earthquake". In 1933, the same area was hit again by another giant tsunami. A total system of tsunami disaster mitigation including 10 "hard" and "soft" countermeasures was proposed. Relocation of dwelling houses to high ground was the major countermeasures. The tsunami forecasting began in 1941. In 1960, the Chilean Tsunami damaged the whole Japanese Pacific coast. The height of this tsunami was 5-6 m at most. The countermeasures were the construction of structures including the tsunami breakwater which was the first one in the world. Since the late 1970s, tsunami numerical simulation was developed in Japan and refined to become the UNESCO standard scheme that was transformed to 22 different countries. In 1983, photos and videos of a tsunami in the Japan Sea revealed many faces of tsunami such as soliton fission and edge bores. The 1993 tsunami devastated a town protected by seawalls 4.5 m high. This experience introduced again the idea of comprehensive countermeasures, consisted of defense structure, tsunami-resistant town development and evacuation based on warning.

  1. New Tsunami Inundation Maps for California

    NASA Astrophysics Data System (ADS)

    Barberopoulou, Aggeliki; Borrero, Jose; Uslu, Burak; Kanoglu, Utku; Synolakis, Costas

    2010-05-01

    California is the first US State to complete its tsunami inundation mapping. A new generation of tsunami inundation maps is now available for 17 coastal counties.. The new maps offer improved coverage for many areas, they are based on the most recent descriptions of potential tsunami farfield and nearfield sources and use the best available bathymetric and topographic data for modelling. The need for new tsunami maps for California became clear since Synolakis et al (1998) described how inundation projections derived with inundation models that fully calculate the wave evolution over dry land can be as high as twice the values predicted with earlier threshold models, for tsunamis originating from tectonic source. Since the 1998 Papua New Guinea tsunami when the hazard from offshore submarine landslides was better understood (Bardet et al, 2003), the State of California funded the development of the first generation of maps, based on local tectonic and landslide sources. Most of the hazard was dominated by offshore landslides, whose return period remains unknown but is believed to be higher than 1000 years for any given locale, at least in Southern California. The new generation of maps incorporates local and distant scenarios. The partnership between the Tsunami Research Center at USC, the California Emergency Management Agency and the California Seismic Safety Commission let the State to be the first among all US States to complete the maps. (Exceptions include the offshore islands and Newport Beach, where higher resolution maps are under way). The maps were produced with the lowest cost per mile of coastline, per resident or per map than all other States, because of the seamless integration of the USC and NOAA databases and the use of the MOST model. They are a significant improvement over earlier map generations. As part of a continuous improvement in response, mitigation and planning and community education, the California inundation maps can contribute in

  2. Compilation and Analysis of a Database of Local Tsunami Bulletins issued by the Pacific Tsunami Warning Center (PTWC) to the Hawaii Emergency Management Agency (HI-EMA) between September 2003 and July, 2015

    NASA Astrophysics Data System (ADS)

    Sardina, V.; Koyanagi, K. K.; Walsh, D.; Becker, N. C.; McCreery, C.

    2015-12-01

    The PTWC functions not only as official international tsunami warning center (TWC) for nations with coasts around the Pacific rim, the Caribbean, and other regions of the world, but also as the local TWC for the State of Hawaii. The PTWC began sending local tsunami messages to HI-EMA only since September, 2003. As part of its routine operations, the PTWC strives to send a local tsunami message product for any Hawaii earthquake with a 4.0 magnitude or larger within five minutes of origin time. To evaluate PTWC's performance in that regard, however, we must first compile a suitable local tsunami bulletins' database. For this purpose, we scanned all the available logs for the Federal Aviation Administration (FAA) communications' circuit between 2003 and 2015 and retrieved 104 local bulletins. We parsed these bulletins and extracted the parametric data needed to evaluate PTWC's performance in terms of essential statistics such as message delay time, epicenter offsets, and magnitude residuals as compared with more authoritative earthquake source parametrizations. To that end, we cross-validated 88 of these seismic events having magnitudes between 2.8 and 6.7 with the corresponding source parameters obtained from the USGS Hawaiian Volcano Observatory (HVO) and the National Earthquake Information Center's (NEIC) online catalog. Analysis of events with magnitude 4.0 or larger gives a median message delay time of 3 minutes and 33 seconds, a median epicentral offset of 3.2 km, and a median magnitude residual of 0.2 unit. Several message delay outliers exist due to the fact that PTWC has sent local tsunami information statements (TIS) for felt events with magnitudes as small as 2.8 located west of the Big Island. Routine use of a synthetic Wood-Anderson magnitude since the end of 2012 appears to have brought consistency to PTWC's local magnitude estimates and a reduction in the message delays. Station site corrections, a refined attenuation model, and optimization of the peak

  3. Modeling of Grain Size Distribution of Tsunami Sand Deposits in V-shaped Valley of Numanohama During the 2011 Tohoku Tsunami

    NASA Astrophysics Data System (ADS)

    Gusman, A. R.; Satake, K.; Goto, T.; Takahashi, T.

    2016-12-01

    Estimating tsunami amplitude from tsunami sand deposit has been a challenge. The grain size distribution of tsunami sand deposit may have correlation with tsunami inundation process, and further with its source characteristics. In order to test this hypothesis, we need a tsunami sediment transport model that can accurately estimate grain size distribution of tsunami deposit. Here, we built and validate a tsunami sediment transport model that can simulate grain size distribution. Our numerical model has three layers which are suspended load layer, active bed layer, and parent bed layer. The two bed layers contain information about the grain size distribution. This numerical model can handle a wide range of grain sizes from 0.063 (4 ϕ) to 5.657 mm (-2.5 ϕ). We apply the numerical model to simulate the sedimentation process during the 2011 Tohoku earthquake in Numanohama, Iwate prefecture, Japan. The grain size distributions at 15 sample points along a 900 m transect from the beach are used to validate the tsunami sediment transport model. The tsunami deposits are dominated by coarse sand with diameter of 0.5 - 1 mm and their thickness are up to 25 cm. Our tsunami model can well reproduce the observed tsunami run-ups that are ranged from 16 to 34 m along the steep valley in Numanohama. The shapes of the simulated grain size distributions at many sample points located within 300 m from the shoreline are similar to the observations. The differences between observed and simulated peak of grain size distributions are less than 1 ϕ. Our result also shows that the simulated sand thickness distribution along the transect is consistent with the observation.

  4. Real-time Tsunami Inundation Prediction Using High Performance Computers

    NASA Astrophysics Data System (ADS)

    Oishi, Y.; Imamura, F.; Sugawara, D.

    2014-12-01

    Recently off-shore tsunami observation stations based on cabled ocean bottom pressure gauges are actively being deployed especially in Japan. These cabled systems are designed to provide real-time tsunami data before tsunamis reach coastlines for disaster mitigation purposes. To receive real benefits of these observations, real-time analysis techniques to make an effective use of these data are necessary. A representative study was made by Tsushima et al. (2009) that proposed a method to provide instant tsunami source prediction based on achieving tsunami waveform data. As time passes, the prediction is improved by using updated waveform data. After a tsunami source is predicted, tsunami waveforms are synthesized from pre-computed tsunami Green functions of linear long wave equations. Tsushima et al. (2014) updated the method by combining the tsunami waveform inversion with an instant inversion of coseismic crustal deformation and improved the prediction accuracy and speed in the early stages. For disaster mitigation purposes, real-time predictions of tsunami inundation are also important. In this study, we discuss the possibility of real-time tsunami inundation predictions, which require faster-than-real-time tsunami inundation simulation in addition to instant tsunami source analysis. Although the computational amount is large to solve non-linear shallow water equations for inundation predictions, it has become executable through the recent developments of high performance computing technologies. We conducted parallel computations of tsunami inundation and achieved 6.0 TFLOPS by using 19,000 CPU cores. We employed a leap-frog finite difference method with nested staggered grids of which resolution range from 405 m to 5 m. The resolution ratio of each nested domain was 1/3. Total number of grid points were 13 million, and the time step was 0.1 seconds. Tsunami sources of 2011 Tohoku-oki earthquake were tested. The inundation prediction up to 2 hours after the

  5. The UBO-TSUFD tsunami inundation model: validation and application to a tsunami case study focused on the city of Catania, Italy

    NASA Astrophysics Data System (ADS)

    Tinti, S.; Tonini, R.

    2013-07-01

    Nowadays numerical models are a powerful tool in tsunami research since they can be used (i) to reconstruct modern and historical events, (ii) to cast new light on tsunami sources by inverting tsunami data and observations, (iii) to build scenarios in the frame of tsunami mitigation plans, and (iv) to produce forecasts of tsunami impact and inundation in systems of early warning. In parallel with the general recognition of the importance of numerical tsunami simulations, the demand has grown for reliable tsunami codes, validated through tests agreed upon by the tsunami community. This paper presents the tsunami code UBO-TSUFD that has been developed at the University of Bologna, Italy, and that solves the non-linear shallow water (NSW) equations in a Cartesian frame, with inclusion of bottom friction and exclusion of the Coriolis force, by means of a leapfrog (LF) finite-difference scheme on a staggered grid and that accounts for moving boundaries to compute sea inundation and withdrawal at the coast. Results of UBO-TSUFD applied to four classical benchmark problems are shown: two benchmarks are based on analytical solutions, one on a plane wave propagating on a flat channel with a constant slope beach; and one on a laboratory experiment. The code is proven to perform very satisfactorily since it reproduces quite well the benchmark theoretical and experimental data. Further, the code is applied to a realistic tsunami case: a scenario of a tsunami threatening the coasts of eastern Sicily, Italy, is defined and discussed based on the historical tsunami of 11 January 1693, i.e. one of the most severe events in the Italian history.

  6. Tsunami Speed Variations in Density-stratified Compressible Global Oceans

    NASA Astrophysics Data System (ADS)

    Watada, S.

    2013-12-01

    Recent tsunami observations in the deep ocean have accumulated unequivocal evidence that tsunami traveltime delays compared with the linear long-wave tsunami simulations occur during tsunami propagation in the deep ocean. The delay is up to 2% of the tsunami traveltime. Watada et al. [2013] investigated the cause of the delay using the normal mode theory of tsunamis and attributed the delay to the compressibility of seawater, the elasticity of the solid earth, and the gravitational potential change associated with mass motion during the passage of tsunamis. Tsunami speed variations in the deep ocean caused by seawater density stratification is investigated using a newly developed propagator matrix method that is applicable to seawater with depth-variable sound speeds and density gradients. For a 4-km deep ocean, the total tsunami speed reduction is 0.45% compared with incompressible homogeneous seawater; two thirds of the reduction is due to elastic energy stored in the water and one third is due to water density stratification mainly by hydrostatic compression. Tsunami speeds are computed for global ocean density and sound speed profiles and characteristic structures are discussed. Tsunami speed reductions are proportional to ocean depth with small variations, except for in warm Mediterranean seas. The impacts of seawater compressibility and the elasticity effect of the solid earth on tsunami traveltime should be included for precise modeling of trans-oceanic tsunamis. Data locations where a vertical ocean profile deeper than 2500 m is available in World Ocean Atlas 2009. The dark gray area indicates the Pacific Ocean defined in WOA09. a) Tsunami speed variations. Red, gray and black bars represent global, Pacific, and Mediterranean Sea, respectively. b) Regression lines of the tsunami velocity reduction for all oceans. c)Vertical ocean profiles at grid points indicated by the stars in Figure 1.

  7. Economic losses to buildings due to tsunami impact: the case of Rhodes city, Greece

    NASA Astrophysics Data System (ADS)

    Triantafyllou, Ioanna; Novikova, Tatyana; Papadopoulos, Gerassimos

    2017-04-01

    The expected economic losses to buildings due to the tsunami impact is of particular importance for the tsunami risk management. However, only few efforts can be found in this direction. In this study we approached this issue selecting the city of Rhodes Isl., Greece, as a test-site. The methodological steps followed include (a) selection of worst case scenario in the study area based on the tsunami history of the area which includes several powerful events, e.g. 142 AD, 1303, 1481, 1609, 1741, (b) numerical simulation of the tsunami and determination of the inundation zone, (c) application of the DAMASCHE empirical tool, produced by the SCHEMA EU-FP6 project, for the calculation of the damage level expected at each one of the buildings as a function of the water depth in the inundation area, (d) calculation of the buildings that would need reparation after partial damage and of those that would need reconstruction after total destruction, (e) calculation of the cost implied for both reparation and reconstruction. The several data sets which are needed for the execution of these steps, are susceptible to uncertainties and, therefore, the final results are quite sensitive to changes of the data sets. Alternative costs were calculated by taking into account the several uncertainties involved. This research is a contribution to the EU-FP7 tsunami research project ASTARTE (Assessment, Strategy And Risk Reduction for Tsunamis in Europe), grant agreement no: 603839, 2013-10-30.

  8. Tsunamis: Global Exposure and Local Risk Analysis

    NASA Astrophysics Data System (ADS)

    Harbitz, C. B.; Løvholt, F.; Glimsdal, S.; Horspool, N.; Griffin, J.; Davies, G.; Frauenfelder, R.

    2014-12-01

    The 2004 Indian Ocean tsunami led to a better understanding of the likelihood of tsunami occurrence and potential tsunami inundation, and the Hyogo Framework for Action (HFA) was one direct result of this event. The United Nations International Strategy for Disaster Risk Reduction (UN-ISDR) adopted HFA in January 2005 in order to reduce disaster risk. As an instrument to compare the risk due to different natural hazards, an integrated worldwide study was implemented and published in several Global Assessment Reports (GAR) by UN-ISDR. The results of the global earthquake induced tsunami hazard and exposure analysis for a return period of 500 years are presented. Both deterministic and probabilistic methods (PTHA) are used. The resulting hazard levels for both methods are compared quantitatively for selected areas. The comparison demonstrates that the analysis is rather rough, which is expected for a study aiming at average trends on a country level across the globe. It is shown that populous Asian countries account for the largest absolute number of people living in tsunami prone areas, more than 50% of the total exposed people live in Japan. Smaller nations like Macao and the Maldives are among the most exposed by population count. Exposed nuclear power plants are limited to Japan, China, India, Taiwan, and USA. On the contrary, a local tsunami vulnerability and risk analysis applies information on population, building types, infrastructure, inundation, flow depth for a certain tsunami scenario with a corresponding return period combined with empirical data on tsunami damages and mortality. Results and validation of a GIS tsunami vulnerability and risk assessment model are presented. The GIS model is adapted for optimal use of data available for each study. Finally, the importance of including landslide sources in the tsunami analysis is also discussed.

  9. REWSET: A prototype seismic and tsunami early warning system in Rhodes island, Greece

    NASA Astrophysics Data System (ADS)

    Papadopoulos, Gerasimos; Argyris, Ilias; Aggelou, Savvas; Karastathis, Vasilis

    2014-05-01

    Tsunami warning in near-field conditions is a critical issue in the Mediterranean Sea since the most important tsunami sources are situated within tsunami wave travel times starting from about five minutes. The project NEARTOWARN (2012-2013) supported by the EU-DG ECHO contributed substantially to the development of new tools for the near-field tsunami early warning in the Mediterranean. One of the main achievements is the development of a local warning system in the test-site of Rhodes island (Rhodes Early Warning System for Earthquakes and Tsunamis - REWSET). The system is composed by three main subsystems: (1) a network of eight seismic early warning devices installed in four different localities of the island, one in the civil protection, another in the Fire Brigade and another two in municipality buildings; (2) two radar-type (ultrasonic) tide-gauges installed in the eastern coastal zine of the island which was selected since research on the historical earthquake and tsunami activity has indicated that the most important, near-field tsunami sources are situated offshore to the east of Rhodes; (3) a crisis Geographic Management System (GMS), which is a web-based and GIS-based application incorporating a variety of thematic maps and other information types. The seismic early warning devices activate by strong (magnitude around 6 or more) earthquakes occurring at distances up to about 100 km from Rhodes, thus providing immediate mobilization of the civil protection. The tide-gauges transmit sea level data, while during the crisis the GMS supports decisions to be made by civil protection. In the near future it is planned the REWSET system to be integrated with national and international systems. REWSET is a prototype which certainly could be developed in other coastal areas of the Mediterranean and beyond.

  10. Open-Ocean and Coastal Properties of Recent Major Tsunamis

    NASA Astrophysics Data System (ADS)

    Rabinovich, A.; Thomson, R.; Zaytsev, O.

    2017-12-01

    The properties of six major tsunamis during the period 2009-2015 (2009 Samoa; 2010 Chile; 2011 Tohoku; 2012 Haida Gwaii; 2014 and 2015 Chile) were thoroughly examined using coastal data from British Columbia, the U.S. West Coast and Mexico, and offshore open-ocean DART and NEPTUNE stations. Based on joint spectral analyses of the tsunamis and background noise, we have developed a method to suppress the influence of local topography and to use coastal observations to determine the underlying spectra of tsunami waves in the deep ocean. The "reconstructed" open-ocean tsunami spectra were found to be in close agreement with the actual tsunami spectra evaluated from the analysis of directly measured open-ocean tsunami records. We have further used the spectral estimates to parameterize tsunamis based on their integral open-ocean spectral characteristics. Three key parameters are introduced to describe individual tsunami events: (1) Integral open-ocean energy; (2) Amplification factor (increase of the mean coastal tsunami variance relative to the open-ocean variance); and (3) Tsunami colour, the frequency composition of the open-ocean tsunami waves. In particular, we found that the strongest tsunamis, associated with large source areas (the 2010 Chile and 2011 Tohoku) are "reddish" (indicating the dominance of low-frequency motions), while small-source events (the 2009 Samoa and 2012 Haida Gwaii) are "bluish" (indicating strong prevalence of high-frequency motions).

  11. Role of Compressibility on Tsunami Propagation

    NASA Astrophysics Data System (ADS)

    Abdolali, Ali; Kirby, James T.

    2017-12-01

    In the present paper, we aim to reduce the discrepancies between tsunami arrival times evaluated from tsunami models and real measurements considering the role of ocean compressibility. We perform qualitative studies to reveal the phase speed reduction rate via a modified version of the Mild Slope Equation for Weakly Compressible fluid (MSEWC) proposed by Sammarco et al. (2013). The model is validated against a 3-D computational model. Physical properties of surface gravity waves are studied and compared with those for waves evaluated from an incompressible flow solver over realistic geometry for 2011 Tohoku-oki event, revealing reduction in phase speed.Plain Language SummarySubmarine earthquakes and submarine mass failures (SMFs), can generate long gravitational waves (or <span class="hlt">tsunamis</span>) that propagate at the free surface. <span class="hlt">Tsunami</span> waves can travel long distances and are known for their dramatic effects on coastal areas. Nowadays, numerical models are used to reconstruct the tsunamigenic events for many scientific and socioeconomic aspects i.e. <span class="hlt">Tsunami</span> Early Warning Systems, inundation mapping, risk and hazard analysis, etc. A number of typically neglected parameters in these models cause discrepancies between model outputs and observations. Most of the <span class="hlt">tsunami</span> models predict <span class="hlt">tsunami</span> arrival times at distant stations slightly early in comparison to observations. In this study, we show how ocean compressibility would affect the <span class="hlt">tsunami</span> wave propagation speed. In this framework, an efficient two-dimensional model equation for the weakly compressible ocean has been developed, validated and tested for simplified and real cases against three dimensional and incompressible solvers. Taking the effect of compressibility, the phase speed of surface gravity waves is reduced compared to that of an incompressible fluid. Then, we used the model for the case of devastating Tohoku-Oki 2011 <span class="hlt">tsunami</span> event, improving the model accuracy. This</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016EGUGA..1811291L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016EGUGA..1811291L"><span>Field survey of the 16 September 2015 Chile <span class="hlt">tsunami</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Lagos, Marcelo; Fritz, Hermann M.</p> <p>2016-04-01</p> <p>On the evening of 16 September, 2015 a magnitude Mw 8.3 earthquake occurred off the coast of central Chile's Coquimbo region. The ensuing <span class="hlt">tsunami</span> caused significant inundation and damage in the Coquimbo or 4th region and mostly minor effects in neighbouring 3rd and 5th regions. Fortunately, ancestral knowledge from the past 1922 and 1943 <span class="hlt">tsunamis</span> in the region along with the catastrophic 2010 Maule and recent 2014 <span class="hlt">tsunamis</span>, as well as <span class="hlt">tsunami</span> education and evacuation exercises prompted most coastal residents to spontaneously evacuate to high ground after the earthquake. There were a few <span class="hlt">tsunami</span> victims; while a handful of fatalities were associated to earthquake induced building collapses and the physical stress of <span class="hlt">tsunami</span> evacuation. The international scientist joined the local effort from September 20 to 26, 2015. The international <span class="hlt">tsunami</span> survey team (ITST) interviewed numerous eyewitnesses and documented flow depths, runup heights, inundation distances, sediment deposition, damage patterns, performance of the navigation infrastructure and impact on the natural environment. The ITST covered a 500 km stretch of coastline from Caleta Chañaral de Aceituno (28.8° S) south of Huasco down to Llolleo near San Antonio (33.6° S). We surveyed more than 40 locations and recorded more than 100 <span class="hlt">tsunami</span> and runup heights with differential GPS and integrated laser range finders. The <span class="hlt">tsunami</span> impact peaked at Caleta Totoral near Punta Aldea with both <span class="hlt">tsunami</span> and runup heights exceeding 10 m as surveyed on September 22 and broadcasted nationwide that evening. Runup exceeded 10 m at a second uninhabited location some 15 km south of Caleta Totoral. A significant variation in <span class="hlt">tsunami</span> impact was observed along the coastlines of central Chile at local and regional scales. The <span class="hlt">tsunami</span> occurred in the evening hours limiting the availability of eyewitness video footages. Observations from the 2015 Chile <span class="hlt">tsunami</span> are compared against the 1922, 1943, 2010 and 2014 Chile <span class="hlt">tsunamis</span>. The</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AGUFMNH23A1860A','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AGUFMNH23A1860A"><span>Detiding <span class="hlt">Tsunami</span> Currents to Validate Velocities in Numerical Simulation Codes using Observations Near Hawaii from the 2011 Tohoku <span class="hlt">Tsunami</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Adams, L. M.; LeVeque, R. J.</p> <p>2015-12-01</p> <p>The ability to measure, predict, and compute <span class="hlt">tsunami</span> flow velocities is ofimportance in risk assessment and hazard mitigation. Until recently, fewdirect measurements of <span class="hlt">tsunami</span> velocities existed to compare with modelresults. During the 11 March 2001 Tohoku <span class="hlt">Tsunami</span>, 328 current meters werewere in place around the Hawaiian Islands, USA, that captured time seriesof water velocity in 18 locations, in both harbors and deep channels, ata series of depths. Arcos and LeVeque[1] compared these records againstnumerical simulations performed using the GeoClaw numerical <span class="hlt">tsunami</span> modelwhich is based on the depth-averaged shallow water equations. They confirmedthat GeoClaw can accurately predict velocities at nearshore locations, andthat <span class="hlt">tsunami</span> current velocity is more spatially variable than wave formor height and potentially more sensitive for model validation.We present a new approach to detiding this sensitive current data. Thisapproach can be used separately on data at each depth of a current gauge.When averaged across depths, the Geoclaw results in [1] are validated. Withoutaveraging, the results should be useful to researchers wishing to validate their3D codes. These results can be downloaded from the project website below.The approach decomposes the pre-<span class="hlt">tsunami</span> component of the data into three parts:a tidal component, a fast component (noise), and a slow component (not matchedby the harmonic analysis). Each part is extended to the time when the tsunamiis present and subtracted from the current data then to give the ''<span class="hlt">tsunami</span> current''that can be compared with 2D or 3D codes that do not model currents in thepre-<span class="hlt">tsunami</span> regime. [1] "Validating Velocities in the GeoClaw <span class="hlt">Tsunami</span> Model using Observations NearHawaii from the 2001 Tohoku <span class="hlt">Tsunami</span>"M.E.M. Arcos and Randall J. LeVequearXiv:1410.2884v1 [physics.geo-py], 10 Oct. 2014.project website: http://faculty.washington.edu/lma3/research.html</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2011PApGe.168.1125P','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2011PApGe.168.1125P"><span><span class="hlt">Tsunami</span> Forecasting and Monitoring in New Zealand</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Power, William; Gale, Nora</p> <p>2011-06-01</p> <p>New Zealand is exposed to <span class="hlt">tsunami</span> threats from several sources that vary significantly in their potential impact and travel time. One route for reducing the risk from these <span class="hlt">tsunami</span> sources is to provide advance warning based on forecasting and monitoring of events in progress. In this paper the National <span class="hlt">Tsunami</span> Warning System framework, including the responsibilities of key organisations and the procedures that they follow in the event of a <span class="hlt">tsunami</span> threatening New Zealand, are summarised. A method for forecasting threat-levels based on <span class="hlt">tsunami</span> models is presented, similar in many respects to that developed for Australia by Allen and Greenslade (Nat Hazards 46:35-52, 2008), and a simple system for easy access to the threat-level forecasts using a clickable pdf file is presented. Once a <span class="hlt">tsunami</span> enters or initiates within New Zealand waters, its progress and evolution can be monitored in real-time using a newly established network of online <span class="hlt">tsunami</span> gauge sensors placed at strategic locations around the New Zealand coasts and offshore islands. Information from these gauges can be used to validate and revise forecasts, and assist in making the all-clear decision.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.usgs.gov/of/2012/1229/','USGSPUBS'); return false;" href="https://pubs.usgs.gov/of/2012/1229/"><span>Tohoku-Oki Earthquake <span class="hlt">Tsunami</span> Runup and Inundation Data for Sites Around the Island of Hawaiʻi</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Trusdell, Frank A.; Chadderton, Amy; Hinchliffe, Graham; Hara, Andrew; Patenge, Brent; Weber, Tom</p> <p>2012-01-01</p> <p>At 0546 U.t.c. March 11, 2011, a Mw 9.0 ("great") earthquake occurred near the northeast coast of Honshu Island, Japan, generating a large <span class="hlt">tsunami</span> that devastated the east coast of Japan and impacted many far-flung coastal sites around the Pacific Basin. After the earthquake, the Pacific <span class="hlt">Tsunami</span> Warning Center <span class="hlt">issued</span> a <span class="hlt">tsunami</span> alert for the State of Hawaii, followed by a <span class="hlt">tsunami</span>-warning notice from the local State Civil Defense on March 10, 2011 (Japan is 19 hours ahead of Hawaii). After the waves passed the islands, U.S. Geological Survey (USGS) scientists from the Hawaiian Volcano Observatory (HVO) measured inundation (maximum inland distance of flooding), runup (elevation at maximum extent of inundation) and took photographs in coastal areas around the Island of Hawaiʻi. Although the damage in West Hawaiʻi is well documented, HVO's mapping revealed that East Hawaiʻi coastlines were also impacted by the <span class="hlt">tsunami</span>. The intent of this report is to provide runup and inundation data for sites around the Island of Hawaiʻi.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.er.usgs.gov/publication/70189612','USGSPUBS'); return false;" href="https://pubs.er.usgs.gov/publication/70189612"><span>Elders recall an earlier <span class="hlt">tsunami</span> on Indian Ocean shores</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Kakar, Din Mohammad; Naeem, Ghazala; Usman, Abdullah; Hasan, Haider; Lohdi, Hira; Srinivasalu, Seshachalam; Andrade, Vanessa; Rajendran, C.P.; Naderi Beni, Abdolmajid; Hamzeh, Mohammad Ali; Hoffmann, Goesta; Al Balushi, Noora; Gale, Nora; Kodijat, Ardito; Fritz, Hermann M.; Atwater, Brian F.</p> <p>2014-01-01</p> <p>Ten years on, the Indian Ocean <span class="hlt">tsunami</span> of 26 December 2004 still looms large in efforts to reduce coastal risk. The disaster has spurred worldwide advances in <span class="hlt">tsunami</span> detection and warning, <span class="hlt">tsunami</span>-risk assessment, and <span class="hlt">tsunami</span> awareness [Satake, 2014]. Nearly a lifetime has passed since the northwestern Indian Ocean last produced a devastating <span class="hlt">tsunami</span>. Documentation of this <span class="hlt">tsunami</span>, in November 1945, was hindered by international instability in the wake of the Second World War and, in British India, by the approach of independence and partition. The parent earthquake, of magnitude 8.1, was widely recorded, and the <span class="hlt">tsunami</span> registered on tide gauges, but intelligence reports and newspaper articles say little about inundation limits while permitting a broad range of catalogued death tolls. What has been established about the 1945 <span class="hlt">tsunami</span> falls short of what's needed today for ground-truthing inundation models, estimating risk to enlarged populations, and anchoring awareness campaigns in local facts. Recent efforts to reduce coastal risk around the Arabian Sea include a project in which eyewitnesses to the 1945 <span class="hlt">tsunami</span> were found and interviewed (Fig. 1), and related archives were gathered. Results are being made available through UNESCO's Indian Ocean <span class="hlt">Tsunami</span> Information Center in hopes of increasing scientific understanding and public awareness of the region's <span class="hlt">tsunami</span> hazards.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2006AGUFM.S14A..06F','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2006AGUFM.S14A..06F"><span>Survey of the July 17, 2006 Central Javan <span class="hlt">tsunami</span> reveals 21m runup heights</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Fritz, H.; Goff, J.; Harbitz, C.; McAdoo, B.; Moore, A.; Latief, H.; Kalligeris, N.; Kodjo, W.; Uslu, B.; Titov, V.; Synolakis, C.</p> <p>2006-12-01</p> <p>The Monday, July 17, 2006 Central Javan 7.7 earthquake triggered a substantial <span class="hlt">tsunami</span> that killed 600 people along a 200km stretch of coastline. The earthquake was not reported felt along the coastline. While there was a warning <span class="hlt">issued</span> by the PTWC, it did not trigger an evacuation warning (Synolakis, 2006). The Indian Ocean <span class="hlt">Tsunami</span> Warning System announced by UNESCO as operational in a press release two weeks before the event did not function as promised. There were no seismic recordings transmitted to the PTWC, and two German tsunameter buoys had broken off their moorings and were not operational. Lifeguards along a tourist beach reported that while the observed the harbinger shoreline recession, they attributed to exteme storm waves that were pounding the beaches that day. Had the <span class="hlt">tsunami</span> struck on the preceding Sunday, instead of Monday, the death toll would had been far higher. The International <span class="hlt">Tsunami</span> Survey Team (ITST) surveyed the coastline measuring runup, inundation, flow depths and sediment deposition, with standard methods (Synolakis and Okal, 2004). Runup values ranged up to 21m with several readings over 10m, while sand sheets up to 15cm were deposited. The parent earthquake was similar, albeit of smaller magnitude, to the 1994 East Javan <span class="hlt">tsunami</span>, which struck about 200km east (Synolakis, et al, 1995) and reached a maximum of 11m runup height only at one location on steep cliffs. The unusual distribution of runup heights, and the pronounced extreme values near Nusa Kambangan, suggest a local coseismic landslide may have triggered an additional <span class="hlt">tsunami</span> (Okal and Synolakis, 2005). The ITST observed that many coastal villages were completely abandoned after the <span class="hlt">tsunami</span>, even in locales where there were no casualties. Whether residents will return is uncertain, but it is clear that an education campaign in <span class="hlt">tsunami</span> hazard mitigation is urgently needed. In the aftermath of the <span class="hlt">tsunami</span>, the Government of Indonesia enforced urgent emergency preparedness</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2009EGUGA..11.3162O','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2009EGUGA..11.3162O"><span><span class="hlt">Tsunami</span> Impact in Morocco due to Most Credible <span class="hlt">Tsunami</span> Scenarios in the Gulf of Cadiz.</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Omira, R.; Baptista, M. A.; Miranda, J. M.; Toto, E. A.</p> <p>2009-04-01</p> <p>In the Gulf of Cadiz, the <span class="hlt">tsunami</span> risk should be considered major due to the peculiar geological context close to the Nubia-Eurasia plate boundary and also to the high vulnerability of the coastlines in the region. The extensive occupation of coastal areas in the surrounding countries - Portugal, Spain and Morocco, the enormous influxes of tourists during high season and the large economic value of harbors and other coastal facilities increase considerably the vulnerability to <span class="hlt">tsunami</span> impact. In order to establish the Most Credible <span class="hlt">Tsunami</span> Scenarios we used the earthquake scenarios in the Gulf of Cadiz area. Each scenario has an associated typical fault/or faults and a set of fault parameters that are used as input to compute the sea bottom deformation using Okada's equations. <span class="hlt">Tsunami</span> propagation uses COMCOT-LX, modified version of the COMCOT Cornnell University code. Maximum wave height (MWH) and <span class="hlt">tsunami</span> energy direction are computed, for each tsunamigenic scenario for the north Atlantic coast of Morocco. Finally we selected the harbor of Casablanca for the production of inundation maps for Casablanca This research was funded by NEAREST and TRANSFER, 6FP-European Union.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/servlets/purl/987290','SCIGOV-STC'); return false;" href="https://www.osti.gov/servlets/purl/987290"><span>Science and Engineering of an Operational <span class="hlt">Tsunami</span> Forecasting System</span></a></p> <p><a target="_blank" href="http://www.osti.gov/search">DOE Office of Scientific and Technical Information (OSTI.GOV)</a></p> <p>Gonzalez, Frank</p> <p>2009-04-06</p> <p>After a review of <span class="hlt">tsunami</span> statistics and the destruction caused by <span class="hlt">tsunamis</span>, a means of forecasting <span class="hlt">tsunamis</span> is discussed as part of an overall program of reducing fatalities through hazard assessment, education, training, mitigation, and a <span class="hlt">tsunami</span> warning system. The forecast is accomplished via a concept called Deep Ocean Assessment and Reporting of <span class="hlt">Tsunamis</span> (DART). Small changes of pressure at the sea floor are measured and relayed to warning centers. Under development is an international modeling network to transfer, maintain, and improve <span class="hlt">tsunami</span> forecast models.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://www.osti.gov/sciencecinema/biblio/987290','SCIGOVIMAGE-SCICINEMA'); return false;" href="http://www.osti.gov/sciencecinema/biblio/987290"><span>Science and Engineering of an Operational <span class="hlt">Tsunami</span> Forecasting System</span></a></p> <p><a target="_blank" href="http://www.osti.gov/sciencecinema/">ScienceCinema</a></p> <p>Gonzalez, Frank</p> <p>2017-12-09</p> <p>After a review of <span class="hlt">tsunami</span> statistics and the destruction caused by <span class="hlt">tsunamis</span>, a means of forecasting <span class="hlt">tsunamis</span> is discussed as part of an overall program of reducing fatalities through hazard assessment, education, training, mitigation, and a <span class="hlt">tsunami</span> warning system. The forecast is accomplished via a concept called Deep Ocean Assessment and Reporting of <span class="hlt">Tsunamis</span> (DART). Small changes of pressure at the sea floor are measured and relayed to warning centers. Under development is an international modeling network to transfer, maintain, and improve <span class="hlt">tsunami</span> forecast models.</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_12");'>12</a></li> <li><a href="#" onclick='return showDiv("page_13");'>13</a></li> <li class="active"><span>14</span></li> <li><a href="#" onclick='return showDiv("page_15");'>15</a></li> <li><a href="#" onclick='return showDiv("page_16");'>16</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_14 --> <div id="page_15" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_13");'>13</a></li> <li><a href="#" onclick='return showDiv("page_14");'>14</a></li> <li class="active"><span>15</span></li> <li><a href="#" onclick='return showDiv("page_16");'>16</a></li> <li><a href="#" onclick='return showDiv("page_17");'>17</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="281"> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUFMNH41A1742K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUFMNH41A1742K"><span><span class="hlt">Tsunami</span> Focusing and Leading Amplitude</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Kanoglu, U.</p> <p>2016-12-01</p> <p><span class="hlt">Tsunamis</span> transform substantially through spatial and temporal spreading from their source region. This substantial spreading might result unique maximum <span class="hlt">tsunami</span> wave heights which might be attributed to the source configuration, directivity, the waveguide structures of mid-ocean ridges and continental shelves, focusing and defocusing through submarine seamounts, random focusing due to small changes in bathymetry, dispersion, and, most likely, combination of some of these effects. In terms of the maximum <span class="hlt">tsunami</span> wave height, after Okal and Synolakis (2016 Geophys. J. Int. 204, 719-735), it is clear that dispersion would be one of the reasons to drive the leading wave amplitude in a <span class="hlt">tsunami</span> wave train. Okal and Synolakis (2016), referring to this phenomenon as sequencing -later waves in the train becoming higher than the leading one, considered Hammack's (1972, Ph.D. Dissertation, Calif. Inst. Tech., 261 pp) formalism, in addition to LeMéhauté and Wang's (1995 Water waves generated by underwater explosion, World Scientific, 367 pp), to evaluate linear dispersive <span class="hlt">tsunami</span> propagation from a circular plug uplifted on an ocean of constant depth. They identified transition distance, as the second wave being larger, performing parametric study for the radius of the plug and the depth of the ocean. Here, we extend Okal and Synolakis' (2016) analysis to an initial wave field with a finite crest length and, in addition, to a most common <span class="hlt">tsunami</span> initial wave form of N-wave (Tadepalli and Synolakis, 1994 Proc. R. Soc. A: Math. Phys. Eng. Sci. 445, 99-112). First, we investigate the focusing feature in the leading-depression side, which enhance <span class="hlt">tsunami</span> wave height as presented by Kanoglu et al. (2013 Proc. R. Soc. A: Math. Phys. Eng. Sci. 469, 20130015). We then discuss the results in terms of leading wave amplitude presenting a parametric study and identify a simple relation for the transition distance. The solution presented here could be used to better analyze dispersive</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014AGUFMNH11C..08G','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014AGUFMNH11C..08G"><span>Evidence-Based Support for the Characteristics of <span class="hlt">Tsunami</span> Warning Messages for Local, Regional and Distant Sources</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Gregg, C. E.; Johnston, D. M.; Sorensen, J. H.; Vogt Sorensen, B.; Whitmore, P.</p> <p>2014-12-01</p> <p> in the context of potentially limited space in evolving <span class="hlt">tsunami</span> messages <span class="hlt">issued</span> by the warning centers.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018E%26ES..118a2035S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018E%26ES..118a2035S"><span><span class="hlt">Tsunami</span> sediments and their grain size characteristics</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Sulastya Putra, Purna</p> <p>2018-02-01</p> <p>Characteristics of <span class="hlt">tsunami</span> deposits are very complex as the deposition by <span class="hlt">tsunami</span> is very complex processes. The grain size characteristics of <span class="hlt">tsunami</span> deposits are simply generalized no matter the local condition in which the deposition took place. The general characteristics are fining upward and landward, poor sorting, and the grain size distribution is not unimodal. Here I review the grain size characteristics of <span class="hlt">tsunami</span> deposit in various environments: swale, coastal marsh and lagoon/lake. Review results show that although there are similar characters in some environments and cases, but in detail the characteristics in each environment can be distinguished; therefore, the <span class="hlt">tsunami</span> deposit in each environment has its own characteristic. The local geological and geomorphological condition of the environment may greatly affect the grain size characteristics.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.er.usgs.gov/publication/70156824','USGSPUBS'); return false;" href="https://pubs.er.usgs.gov/publication/70156824"><span>Earthquake mechanism and seafloor deformation for <span class="hlt">tsunami</span> generation</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Geist, Eric L.; Oglesby, David D.; Beer, Michael; Kougioumtzoglou, Ioannis A.; Patelli, Edoardo; Siu-Kui Au, Ivan</p> <p>2014-01-01</p> <p><span class="hlt">Tsunamis</span> are generated in the ocean by rapidly displacing the entire water column over a significant area. The potential energy resulting from this disturbance is balanced with the kinetic energy of the waves during propagation. Only a handful of submarine geologic phenomena can generate <span class="hlt">tsunamis</span>: large-magnitude earthquakes, large landslides, and volcanic processes. Asteroid and subaerial landslide impacts can generate <span class="hlt">tsunami</span> waves from above the water. Earthquakes are by far the most common generator of <span class="hlt">tsunamis</span>. Generally, earthquakes greater than magnitude (M) 6.5–7 can generate <span class="hlt">tsunamis</span> if they occur beneath an ocean and if they result in predominantly vertical displacement. One of the greatest uncertainties in both deterministic and probabilistic hazard assessments of <span class="hlt">tsunamis</span> is computing seafloor deformation for earthquakes of a given magnitude.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2007AGUFMOS31A0167B','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2007AGUFMOS31A0167B"><span>Global <span class="hlt">Tsunami</span> Database: Adding Geologic Deposits, Proxies, and Tools</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Brocko, V. R.; Varner, J.</p> <p>2007-12-01</p> <p>A result of collaboration between NOAA's National Geophysical Data Center (NGDC) and the Cooperative Institute for Research in the Environmental Sciences (CIRES), the Global <span class="hlt">Tsunami</span> Database includes instrumental records, human observations, and now, information inferred from the geologic record. Deep Ocean Assessment and Reporting of <span class="hlt">Tsunamis</span> (DART) data, historical reports, and information gleaned from published <span class="hlt">tsunami</span> deposit research build a multi-faceted view of <span class="hlt">tsunami</span> hazards and their history around the world. <span class="hlt">Tsunami</span> history provides clues to what might happen in the future, including frequency of occurrence and maximum wave heights. However, instrumental and written records commonly span too little time to reveal the full range of a region's <span class="hlt">tsunami</span> hazard. The sedimentary deposits of <span class="hlt">tsunamis</span>, identified with the aid of modern analogs, increasingly complement instrumental and human observations. By adding the component of <span class="hlt">tsunamis</span> inferred from the geologic record, the Global <span class="hlt">Tsunami</span> Database extends the record of <span class="hlt">tsunamis</span> backward in time. Deposit locations, their estimated age and descriptions of the deposits themselves fill in the <span class="hlt">tsunami</span> record. <span class="hlt">Tsunamis</span> inferred from proxies, such as evidence for coseismic subsidence, are included to estimate recurrence intervals, but are flagged to highlight the absence of a physical deposit. Authors may submit their own descriptions and upload digital versions of publications. Users may sort by any populated field, including event, location, region, age of deposit, author, publication type (extract information from peer reviewed publications only, if you wish), grain size, composition, presence/absence of plant material. Users may find <span class="hlt">tsunami</span> deposit references for a given location, event or author; search for particular properties of <span class="hlt">tsunami</span> deposits; and even identify potential collaborators. Users may also download public-domain documents. Data and information may be viewed using tools designed to extract and</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2012AGUFMOS11C1651A','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2012AGUFMOS11C1651A"><span>Errors in <span class="hlt">Tsunami</span> Source Estimation from Tide Gauges</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Arcas, D.</p> <p>2012-12-01</p> <p>Linearity of <span class="hlt">tsunami</span> waves in deep water can be assessed as a comparison of flow speed, u to wave propagation speed √gh. In real <span class="hlt">tsunami</span> scenarios this evaluation becomes impractical due to the absence of observational data of <span class="hlt">tsunami</span> flow velocities in shallow water. Consequently the extent of validity of the linear regime in the ocean is unclear. Linearity is the fundamental assumption behind <span class="hlt">tsunami</span> source inversion processes based on linear combinations of unit propagation runs from a deep water propagation database (Gica et al., 2008). The primary <span class="hlt">tsunami</span> elevation data for such inversion is usually provided by National Oceanic and Atmospheric (NOAA) deep-water <span class="hlt">tsunami</span> detection systems known as DART. The use of tide gauge data for such inversions is more controversial due to the uncertainty of wave linearity at the depth of the tide gauge site. This study demonstrates the inaccuracies incurred in source estimation using tide gauge data in conjunction with a linear combination procedure for <span class="hlt">tsunami</span> source estimation.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AGUFMNH13B1935S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AGUFMNH13B1935S"><span>Lessons unlearned in Japan before 2011: Effects of the 2004 Indian Ocean <span class="hlt">tsunami</span> on a nuclear plant in India</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Sugimoto, M.</p> <p>2015-12-01</p> <p>The 2004 Indian Ocean <span class="hlt">tsunami</span> killed around 220,000 people and startled the world. North of Chennai (Madras), the Indian plant nearly affected by <span class="hlt">tsunami</span> in 2004. The local residents really did not get any warning in India. "On December 26, the Madras Atomic Power Station looked like a desolate place with no power, no phones, no water, no security arrangement and no hindrance whatsoever for outsiders to enter any part of the plant," said S.P. Udaykumar of SACCER. Nuclear <span class="hlt">issues</span> hide behind such big <span class="hlt">tsunami</span> damaged. Few media reported outside India. As for US, San Francisco Chronicle reported scientists had to rethink about nuclear power plants by the 2004 <span class="hlt">tsunami</span> in 11th July 2005. Few <span class="hlt">tsunami</span> scientsts did not pay attention to nucler power plants nearly affected by <span class="hlt">tsunami</span> in US. On the other hand, US government noticed the Indian plant nearly affected in 2004. US Goverment supported nucler disaster management in several countries. As for Japan, Japanese goverment mainly concentrated reconstrucation in affected areas and <span class="hlt">tsunami</span> early warning system. I worked in Japanese embassy in Jakarta Indonesia at that time. I did not receive the information about the Indian plant nearly affected by <span class="hlt">tsunami</span> and US supported nucler safety to the other coutries. The 2011 Tohoku earthquake and <span class="hlt">tsunami</span> damaged society and nuclear power stations. The Fukushima Dai-ichi Nuclear Power Plant (FDNPP) accident resulted in the largest release of radioactive material since the 1986 Chernobyl accident. Why did not Japanese <span class="hlt">tsunami</span> scientists learn from warning signs from the nuclear plant in India by the 2004 Indian Ocean <span class="hlt">tsunami</span> to the 2011 Fukushima accident? I would like to clarify the reason few <span class="hlt">tsunami</span> scientist notice this point in my presentation.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.er.usgs.gov/publication/70033941','USGSPUBS'); return false;" href="https://pubs.er.usgs.gov/publication/70033941"><span><span class="hlt">Tsunami</span> modelling with adaptively refined finite volume methods</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>LeVeque, R.J.; George, D.L.; Berger, M.J.</p> <p>2011-01-01</p> <p>Numerical modelling of transoceanic <span class="hlt">tsunami</span> propagation, together with the detailed modelling of inundation of small-scale coastal regions, poses a number of algorithmic challenges. The depth-averaged shallow water equations can be used to reduce this to a time-dependent problem in two space dimensions, but even so it is crucial to use adaptive mesh refinement in order to efficiently handle the vast differences in spatial scales. This must be done in a 'wellbalanced' manner that accurately captures very small perturbations to the steady state of the ocean at rest. Inundation can be modelled by allowing cells to dynamically change from dry to wet, but this must also be done carefully near refinement boundaries. We discuss these <span class="hlt">issues</span> in the context of Riemann-solver-based finite volume methods for <span class="hlt">tsunami</span> modelling. Several examples are presented using the GeoClaw software, and sample codes are available to accompany the paper. The techniques discussed also apply to a variety of other geophysical flows. ?? 2011 Cambridge University Press.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013AGUFM.G51B..08K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013AGUFM.G51B..08K"><span>Development of a new real-time GNSS data analysis system in GEONET for rapid Mw estimates in Japan</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Kawamoto, S.; Miyagawa, K.; Yahagi, T.; Yamaguchi, K.; Tsuji, H.; Nishimura, T.; Ohta, Y.; Hino, R.; Miura, S.</p> <p>2013-12-01</p> <p>The 2011 off the Pacific Coast of Tohoku Earthquake (Mw 9.0) occurred on March 11, 2011. The earthquake and following <span class="hlt">tsunami</span> caused serious damages to the broad coastal area of east Japan. Japan Meteorological Agency (<span class="hlt">JMA</span>) operates the <span class="hlt">Tsunami</span> Warning system, which is designed to forecast the <span class="hlt">tsunami</span> height and its arrival time around 3 minutes after a large event. However, the first estimated magnitude of Mj, which was used for <span class="hlt">Tsunami</span> Warning issuance, was far below the real one at the Tohoku event because of a saturation problem. In principle, as well as most other magnitude scales, Mj is saturated at certain values around 8.0. On the other hand, Mw represents the earthquake energy itself and it can be directly calculated by permanent displacements derived from geodetic measurements without the saturation problem. GNSS Earth Observation Network System (GEONET) is one of the densest real-time GNSS networks in the world operated by Geospatial Information Authority of Japan (GSI). The GEONET data and recent rapid advancement of GNSS analysis techniques motivate us to develop a new system for tackling the <span class="hlt">tsunami</span> disasters. In order to provide the more reliable magnitude for <span class="hlt">Tsunami</span> Warning, GSI and Tohoku University have jointly developed a new real-time analysis system in GEONET for quasi real-time Mw estimation. Its targets are large earthquakes, especially ones of Mw > 8.0, which would be saturated by the <span class="hlt">Tsunami</span> Warning system. The real-time analysis system in GEONET mainly consists of three parts: (1) real-time GNSS positioning, (2) automated extraction of displacement fields due to the large earthquake, and (3) automated estimation of Mw by an approximated single rectangular fault. The positions of each station are calculated by using RTKLIB 2.4.1 (Takasu, 2011) with the baseline mode and the predicted part of the IGS Ultra Rapid precise orbit. For the event detection, we adopt the 'RAPiD' algorithm (Ohta et al., 2012) or Earthquake Early Warning <span class="hlt">issued</span> by</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014AGUFMEP13A3500J','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014AGUFMEP13A3500J"><span>Reconstructing <span class="hlt">Tsunami</span> Flow Speed from Sedimentary Deposits</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Jaffe, B. E.; Gelfenbaum, G. R.</p> <p>2014-12-01</p> <p>Paleotsunami deposits contain information about the flow that created them that can be used to reconstruct <span class="hlt">tsunami</span> flow speed and thereby improving assessment of <span class="hlt">tsunami</span> hazard. We applied an inverse <span class="hlt">tsunami</span> sediment transport model to sandy deposits near Sendai Airport, Japan, that formed during the 11 March 2011 Tohoku-oki <span class="hlt">tsunami</span> to test model performance and explore the spatial variations in <span class="hlt">tsunami</span> flow speed. The inverse model assumes the amount of suspended sediment in the water column is in equilibrium with local flow speed and that sediment transport convergences, primarily from bedload transport, do not contribute significantly to formation of the portion of the deposit we identify as formed by sediment settling out of suspension. We interpret massive or inversely graded intervals as forming from sediment transport convergences and do not model them. Sediment falling out of suspension forms a specific type of normal grading, termed 'suspension' grading, where the entire grain size distribution shifts to finer sizes higher up in a deposit. Suspension grading is often observed in deposits of high-energy flows, including turbidity currents and <span class="hlt">tsunamis</span>. The inverse model calculates <span class="hlt">tsunami</span> flow speed from the thickness and bulk grain size of a suspension-graded interval. We identified 24 suspension-graded intervals from 7 trenches located near the Sendai Airport from ~250-1350 m inland from the shoreline. Flow speeds were highest ~500 m from the shoreline, landward of the forested sand dunes where the <span class="hlt">tsunami</span> encountered lower roughness in a low-lying area as it traveled downslope. Modeled <span class="hlt">tsunami</span> flow speeds range from 2.2 to 9.0 m/s. <span class="hlt">Tsunami</span> flow speeds are sensitive to roughness, which is unfortunately poorly constrained. Flow speed calculated by the inverse model was similar to those calculated from video taken from a helicopter about 1-2 km inland. Deposit reconstructions of suspension-graded intervals reproduced observed upward shifts in grain size</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014AGUFM.S14A..08W','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014AGUFM.S14A..08W"><span>Global <span class="hlt">Tsunami</span> Warning System Development Since 2004</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Weinstein, S.; Becker, N. C.; Wang, D.; Fryer, G. J.; McCreery, C.; Hirshorn, B. F.</p> <p>2014-12-01</p> <p>The 9.1 Mw Great Sumatra Earthquake of Dec. 26, 2004, generated the most destructive <span class="hlt">tsunami</span> in history killing 227,000 people along Indian Ocean coastlines and was recorded by sea-level instruments world-wide. This tragedy showed the Indian Ocean needed a <span class="hlt">tsunami</span> warning system to prevent another tragedy on this scale. The Great Sumatra Earthquake also highlighted the need for <span class="hlt">tsunami</span> warning systems in other ocean basins. Instruments for recording earthquakes and sea-level data useful for <span class="hlt">tsunami</span> monitoring did not exist outside of the Pacific Ocean in 2004. Seismometers were few in number, and even fewer were high-quality long period broadband instruments. Nor was much of their data made available to the US <span class="hlt">tsunami</span> warning centers (TWCs). In 2004 the US TWCs relied exclusively on instrumentation provided and maintained by IRIS and the USGS for areas outside of the Pacific.Since 2004, the US TWCs and their partners have made substantial improvements to seismic and sea-level monitoring networks with the addition of new and better instruments, densification of existing networks, better communications infrastructure, and improved data sharing among <span class="hlt">tsunami</span> warning centers. In particular, the number of sea-level stations transmitting data in near real-time and the amount of seismic data available to the <span class="hlt">tsunami</span> warning centers has more than tripled. The DART network that consisted of a half-dozen Pacific stations in 2004 now totals nearly 60 stations worldwide. Earthquake and <span class="hlt">tsunami</span> science has progressed as well. It took nearly three weeks to obtain the first reliable estimates of the 2004 Sumatra Earthquake's magnitude. Today, thanks to improved seismic networks and modern computing power, TWCs use the W-phase seismic moment method to determine accurate earthquake magnitudes and focal mechanisms for great earthquakes within 25 minutes. TWC scientists have also leveraged these modern computers to generate <span class="hlt">tsunami</span> forecasts in a matter of minutes.Progress towards a</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014AGUFM.S21A4408W','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014AGUFM.S21A4408W"><span>Characterizing Mega-Earthquake Related <span class="hlt">Tsunami</span> on Subduction Zones without Large Historical Events</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Williams, C. R.; Lee, R.; Astill, S.; Farahani, R.; Wilson, P. S.; Mohammed, F.</p> <p>2014-12-01</p> <p>Due to recent large <span class="hlt">tsunami</span> events (e.g., Chile 2010 and Japan 2011), the insurance industry is very aware of the importance of managing its exposure to <span class="hlt">tsunami</span> risk. There are currently few tools available to help establish policies for managing and pricing <span class="hlt">tsunami</span> risk globally. As a starting point and to help address this <span class="hlt">issue</span>, Risk Management Solutions Inc. (RMS) is developing a global suite of <span class="hlt">tsunami</span> inundation footprints. This dataset will include both representations of historical events as well as a series of M9 scenarios on subductions zones that have not historical generated mega earthquakes. The latter set is included to address concerns about the completeness of the historical record for mega earthquakes. This concern stems from the fact that the Tohoku Japan earthquake was considerably larger than had been observed in the historical record. Characterizing the source and rupture pattern for the subduction zones without historical events is a poorly constrained process. In many case, the subduction zones can be segmented based on changes in the characteristics of the subducting slab or major ridge systems. For this project, the unit sources from the NOAA propagation database are utilized to leverage the basin wide modeling included in this dataset. The length of the rupture is characterized based on subduction zone segmentation and the slip per unit source can be determined based on the event magnitude (i.e., M9) and moment balancing. As these events have not occurred historically, there is little to constrain the slip distribution. Sensitivity tests on the potential rupture pattern have been undertaken comparing uniform slip to higher shallow slip and tapered slip models. Subduction zones examined include the Makran Trench, the Lesser Antilles and the Hikurangi Trench. The ultimate goal is to create a series of <span class="hlt">tsunami</span> footprints to help insurers understand their exposures at risk to <span class="hlt">tsunami</span> inundation around the world.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.er.usgs.gov/publication/70114974','USGSPUBS'); return false;" href="https://pubs.er.usgs.gov/publication/70114974"><span>Source processes for the probabilistic assessment of <span class="hlt">tsunami</span> hazards</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Geist, Eric L.; Lynett, Patrick J.</p> <p>2014-01-01</p> <p>The importance of <span class="hlt">tsunami</span> hazard assessment has increased in recent years as a result of catastrophic consequences from events such as the 2004 Indian Ocean and 2011 Japan <span class="hlt">tsunamis</span>. In particular, probabilistic <span class="hlt">tsunami</span> hazard assessment (PTHA) methods have been emphasized to include all possible ways a <span class="hlt">tsunami</span> could be generated. Owing to the scarcity of <span class="hlt">tsunami</span> observations, a computational approach is used to define the hazard. This approach includes all relevant sources that may cause a <span class="hlt">tsunami</span> to impact a site and all quantifiable uncertainty. Although only earthquakes were initially considered for PTHA, recent efforts have also attempted to include landslide <span class="hlt">tsunami</span> sources. Including these sources into PTHA is considerably more difficult because of a general lack of information on relating landslide area and volume to mean return period. The large variety of failure types and rheologies associated with submarine landslides translates to considerable uncertainty in determining the efficiency of <span class="hlt">tsunami</span> generation. Resolution of these and several other outstanding problems are described that will further advance PTHA methodologies leading to a more accurate understanding of <span class="hlt">tsunami</span> hazard.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2012NHESS..12..151G','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2012NHESS..12..151G"><span><span class="hlt">Tsunami</span> risk assessments in Messina, Sicily - Italy</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Grezio, A.; Gasparini, P.; Marzocchi, W.; Patera, A.; Tinti, S.</p> <p>2012-01-01</p> <p>We present a first detailed <span class="hlt">tsunami</span> risk assessment for the city of Messina where one of the most destructive <span class="hlt">tsunami</span> inundations of the last centuries occurred in 1908. In the <span class="hlt">tsunami</span> hazard evaluation, probabilities are calculated through a new general modular Bayesian tool for Probability <span class="hlt">Tsunami</span> Hazard Assessment. The estimation of losses of persons and buildings takes into account data collected directly or supplied by: (i) the Italian National Institute of Statistics that provides information on the population, on buildings and on many relevant social aspects; (ii) the Italian National Territory Agency that provides updated economic values of the buildings on the basis of their typology (residential, commercial, industrial) and location (streets); and (iii) the Train and Port Authorities. For human beings, a factor of time exposition is introduced and calculated in terms of hours per day in different places (private and public) and in terms of seasons, considering that some factors like the number of tourists can vary by one order of magnitude from January to August. Since the <span class="hlt">tsunami</span> risk is a function of the run-up levels along the coast, a variable <span class="hlt">tsunami</span> risk zone is defined as the area along the Messina coast where <span class="hlt">tsunami</span> inundations may occur.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013EGUGA..15.3903K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013EGUGA..15.3903K"><span>Integrated <span class="hlt">Tsunami</span> Database: simulation and identification of seismic <span class="hlt">tsunami</span> sources, 3D visualization and post-disaster assessment on the shore</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Krivorot'ko, Olga; Kabanikhin, Sergey; Marinin, Igor; Karas, Adel; Khidasheli, David</p> <p>2013-04-01</p> <p>One of the most important problems of <span class="hlt">tsunami</span> investigation is the problem of seismic <span class="hlt">tsunami</span> source reconstruction. Non-profit organization WAPMERR (http://wapmerr.org) has provided a historical database of alleged <span class="hlt">tsunami</span> sources around the world that obtained with the help of information about seaquakes. WAPMERR also has a database of observations of the <span class="hlt">tsunami</span> waves in coastal areas. The main idea of presentation consists of determining of the <span class="hlt">tsunami</span> source parameters using seismic data and observations of the <span class="hlt">tsunami</span> waves on the shore, and the expansion and refinement of the database of presupposed <span class="hlt">tsunami</span> sources for operative and accurate prediction of hazards and assessment of risks and consequences. Also we present 3D visualization of real-time <span class="hlt">tsunami</span> wave propagation and loss assessment, characterizing the nature of the building stock in cities at risk, and monitoring by satellite images using modern GIS technology ITRIS (Integrated <span class="hlt">Tsunami</span> Research and Information System) developed by WAPMERR and Informap Ltd. The special scientific plug-in components are embedded in a specially developed GIS-type graphic shell for easy data retrieval, visualization and processing. The most suitable physical models related to simulation of <span class="hlt">tsunamis</span> are based on shallow water equations. We consider the initial-boundary value problem in Ω := {(x,y) ?R2 : x ?(0,Lx ), y ?(0,Ly ), Lx,Ly > 0} for the well-known linear shallow water equations in the Cartesian coordinate system in terms of the liquid flow components in dimensional form Here ?(x,y,t) defines the free water surface vertical displacement, i.e. amplitude of a <span class="hlt">tsunami</span> wave, q(x,y) is the initial amplitude of a <span class="hlt">tsunami</span> wave. The lateral boundary is assumed to be a non-reflecting boundary of the domain, that is, it allows the free passage of the propagating waves. Assume that the free surface oscillation data at points (xm, ym) are given as a measured output data from <span class="hlt">tsunami</span> records: fm(t) := ? (xm, ym,t), (xm</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017EGUGA..1913306S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017EGUGA..1913306S"><span>New approaches in geological studies of <span class="hlt">tsunami</span> deposits</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Szczucinski, Witold</p> <p>2017-04-01</p> <p>During the last dozen of years <span class="hlt">tsunamis</span> have appeared to be the most disastrous natural process worldwide. The dramatic, large <span class="hlt">tsunamis</span> on Boxing Day, 2004 in the Indian Ocean and on March 11, 2011 offshore Japan caused catastrophes listed as the worst in terms of the number of victims and the economic losses, respectively. In the aftermath, they have become a topic of high public and scientific interest. The record of past <span class="hlt">tsunamis</span>, mainly in form of <span class="hlt">tsunami</span> deposits, is often the only way to identify <span class="hlt">tsunami</span> risk at a particular coast due to relatively low frequency of their occurrence. The identification of paleotsunami deposits is often difficult mainly because the <span class="hlt">tsunami</span> deposits are represented by various sediment types, may be similar to storm deposits or altered by post-depositional processes. There is no simple universal diagnostic set of criteria that can be applied to interpret <span class="hlt">tsunami</span> deposits with certainty. Thus, there is a need to develop new methods, which would enhance 'classical', mainly sedimentological and stratigraphic approach. The objective of the present contribution is to show recent progress and application of new approaches including geochemistry (Chagué-Goff et al. 2017) and paleogenetics (Szczuciński et al. 2016) in studies of geological impacts of recent <span class="hlt">tsunamis</span> from various geographical regions, namely in monsoonal-tropical, temperate and polar zones. It is mainly based on own studies of coastal zones affected by 2004 Indian Ocean <span class="hlt">Tsunami</span> in Thailand, 2011 Tohoku-oki <span class="hlt">tsunami</span> and older paleotsunamis in Japan, catastrophic saltwater inundations at the coasts of Baltic Sea and 2000 landslide-generated <span class="hlt">tsunami</span> in Vaigat Strait (west Greenland). The study was partly funded by Polish National Science Centre grant No. 2011/01/B/ST10/01553. Chagué-Goff C., Szczuciński W., Shinozaki T., 2017. Applications of geochemistry in <span class="hlt">tsunami</span> research: A review. Earth-Science Reviews 165: 203-244. Szczuciński W., Pawłowska J., Lejzerowicz F</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017EGUGA..19.8636B','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017EGUGA..19.8636B"><span>Identification of <span class="hlt">tsunami</span> deposits using organic markers</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Bellanova, Piero; Schwarzbauer, Jan; Reicherter, Klaus; Jaffe, Bruce; Szczucinski, Witold</p> <p>2017-04-01</p> <p>Geochemical analyses of <span class="hlt">tsunami</span> deposits are becoming standard and are used in almost every study. However, only inorganic proxies are typically studied. Recent studies that developed and broaden geochemical methods to investigate <span class="hlt">tsunami</span> deposits (e.g., Szczucinski et al., 2016) and illustrate the importance of information from biomarker analyses (e.g., Shinozaki et al., 2015). These studies indicated that organic geochemistry can be used for the differentiation between marine and terrestrial matter, indicating a potential source of a deposit. Organic proxies also have the advantage of remaining longer in the sediment than inorganic proxies, which can be leached out by groundwater or rain. The 2011 Tohoku-oki <span class="hlt">tsunami</span> inundated as much as 4.5 km inland and had run up heights of up to 40 m. Samples of sandy <span class="hlt">tsunami</span> deposits from Sendai Plain, Samenoura Bay, and Oppa Bay (Japan) were collected and analyzed using gas chromatography-mass spectrometry (GC-MS) to search for natural compounds (biomarkers) and anthropogenic pollutants (anthropogenic markers). Natural compounds substances, such as fatty acids and n-alkanes, and anthropogenic compounds (e.g., polycyclic aromatic hydrocarbons and pesticides) were identified and quantified. Further, the two different compound types (natural vs. anthropogenic) were evaluated for their usefulness in identification of deposits from extreme flooding events. The analyzed chemical compounds and their diagenetic transformation products were distinctly different for the pre-<span class="hlt">tsunami</span>, the <span class="hlt">tsunami</span> and the thin post-<span class="hlt">tsunami</span> eolian deposits. The preliminary results of this study point out the utility of organic indicators for the identification of extreme flooding events (like <span class="hlt">tsunamis</span>), particularly for historic events. References Shinozaki, T., Fujino, S., Ikehara, M., Sawai, Y., Tamura, T., Goto, K., Sugawara, D., Abe, T., 2015. Marine biomarkers deposited on coastal land by the 2011Tohoku-oki <span class="hlt">tsunami</span>. Natural Hazards 77</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013PApGe.170.1385L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013PApGe.170.1385L"><span><span class="hlt">Tsunami</span> Early Warning Within Five Minutes</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Lomax, Anthony; Michelini, Alberto</p> <p>2013-09-01</p> <p><span class="hlt">Tsunamis</span> are most destructive at near to regional distances, arriving within 20-30 min after a causative earthquake; effective early warning at these distances requires notification within 15 min or less. The size and impact of a <span class="hlt">tsunami</span> also depend on sea floor displacement, which is related to the length, L, width, W, mean slip, D, and depth, z, of the earthquake rupture. Currently, the primary seismic discriminant for <span class="hlt">tsunami</span> potential is the centroid-moment tensor magnitude, M {w/CMT}, representing the product LWD and estimated via an indirect inversion procedure. However, the obtained M {w/CMT} and the implied LWD value vary with rupture depth, earth model, and other factors, and are only available 20-30 min or more after an earthquake. The use of more direct discriminants for <span class="hlt">tsunami</span> potential could avoid these problems and aid in effective early warning, especially for near to regional distances. Previously, we presented a direct procedure for rapid assessment of earthquake <span class="hlt">tsunami</span> potential using two, simple measurements on P-wave seismograms—the predominant period on velocity records, T d , and the likelihood, T {50/Ex}, that the high-frequency, apparent rupture-duration, T 0, exceeds 50-55 s. We have shown that T d and T 0 are related to the critical rupture parameters L, W, D, and z, and that either of the period-duration products T d T 0 or T d T {50/Ex} gives more information on <span class="hlt">tsunami</span> impact and size than M {w/CMT}, M wp, and other currently used discriminants. These results imply that <span class="hlt">tsunami</span> potential is not directly related to the product LWD from the "seismic" faulting model, as is assumed with the use of the M {w/CMT} discriminant. Instead, information on rupture length, L, and depth, z, as provided by T d T 0 or T d T {50/Ex}, can constrain well the <span class="hlt">tsunami</span> potential of an earthquake. We introduce here special treatment of the signal around the S arrival at close stations, a modified, real-time, M wpd(RT) magnitude, and other procedures to</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015PApGe.172..621H','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015PApGe.172..621H"><span>New Insights into the Source of the Makran <span class="hlt">Tsunami</span> of 27 November 1945 from <span class="hlt">Tsunami</span> Waveforms and Coastal Deformation Data</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Heidarzadeh, Mohammad; Satake, Kenji</p> <p>2015-03-01</p> <p>We constrain the source of the 27 November 1945 <span class="hlt">tsunami</span> in the Makran Subduction Zone (MSZ) using available <span class="hlt">tsunami</span> waveforms recorded on tide gauges at Mumbai (India) and Karachi (Pakistan), and that inferred at Port Victoria (Seychelles), and coseismic deformation data along the Makran coast. Spectral analysis of the <span class="hlt">tsunami</span> waveforms shows that the <span class="hlt">tsunami</span> governing period was 40-50 min at Karachi whereas it was around 22 min at Mumbai. The inferred <span class="hlt">tsunami</span> waveform at Port Victoria also indicated a period of around 21 min for the <span class="hlt">tsunami</span>. <span class="hlt">Tsunami</span> numerical simulations from the previously proposed source models failed in reproducing the observed <span class="hlt">tsunami</span> waveforms and coseismic deformation data. Sensitivity analysis showed that the source fault needs to be extended offshore into deep water in order to reproduce the first 22-min signal at Mumbai. Based on the inversion of the observed <span class="hlt">tsunami</span> waveforms, we propose a four-segment fault with varying slip amounts as the final source. This source includes a slip of 4.3 m onshore near Ormara (Pakistan) and a slip of 10 m offshore at water depth of around 3,000 m. The total fault length is 220 km, and the average slip is 6.1 m. This source, first, reproduces fairly well the observed tide gauge records at Mumbai and Karachi, second, produces ~1 m of uplift at Ormara and ~1 m of subsidence at Pasni, and third, gives a moment magnitude of 8.3 for the earthquake, which is in the acceptable range of seismic data. The computed 1 m uplift at Ormara is in the uplift range of 1-3 m reported in the literature. As the tide gauge stations were located in the far field, our proposed source explains mainly the tectonic source of the <span class="hlt">tsunami</span>.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017PApGe.174.3237T','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017PApGe.174.3237T"><span>Method to Determine Appropriate Source Models of Large Earthquakes Including <span class="hlt">Tsunami</span> Earthquakes for <span class="hlt">Tsunami</span> Early Warning in Central America</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Tanioka, Yuichiro; Miranda, Greyving Jose Arguello; Gusman, Aditya Riadi; Fujii, Yushiro</p> <p>2017-08-01</p> <p>Large earthquakes, such as the Mw 7.7 1992 Nicaragua earthquake, have occurred off the Pacific coasts of El Salvador and Nicaragua in Central America and have generated distractive <span class="hlt">tsunamis</span> along these coasts. It is necessary to determine appropriate fault models before large <span class="hlt">tsunamis</span> hit the coast. In this study, first, fault parameters were estimated from the W-phase inversion, and then an appropriate fault model was determined from the fault parameters and scaling relationships with a depth dependent rigidity. The method was tested for four large earthquakes, the 1992 Nicaragua <span class="hlt">tsunami</span> earthquake (Mw7.7), the 2001 El Salvador earthquake (Mw7.7), the 2004 El Astillero earthquake (Mw7.0), and the 2012 El Salvador-Nicaragua earthquake (Mw7.3), which occurred off El Salvador and Nicaragua in Central America. The <span class="hlt">tsunami</span> numerical simulations were carried out from the determined fault models. We found that the observed <span class="hlt">tsunami</span> heights, run-up heights, and inundation areas were reasonably well explained by the computed ones. Therefore, our method for <span class="hlt">tsunami</span> early warning purpose should work to estimate a fault model which reproduces <span class="hlt">tsunami</span> heights near the coast of El Salvador and Nicaragua due to large earthquakes in the subduction zone.</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_13");'>13</a></li> <li><a href="#" onclick='return showDiv("page_14");'>14</a></li> <li class="active"><span>15</span></li> <li><a href="#" onclick='return showDiv("page_16");'>16</a></li> <li><a href="#" onclick='return showDiv("page_17");'>17</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_15 --> <div id="page_16" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_14");'>14</a></li> <li><a href="#" onclick='return showDiv("page_15");'>15</a></li> <li class="active"><span>16</span></li> <li><a href="#" onclick='return showDiv("page_17");'>17</a></li> <li><a href="#" onclick='return showDiv("page_18");'>18</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="301"> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2008GeoRL..35.2612G','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2008GeoRL..35.2612G"><span>Distribution of <span class="hlt">tsunami</span> interevent times</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Geist, Eric L.; Parsons, Tom</p> <p>2008-01-01</p> <p>The distribution of <span class="hlt">tsunami</span> interevent times is analyzed using global and site-specific (Hilo, Hawaii) <span class="hlt">tsunami</span> catalogs. An empirical probability density distribution is determined by binning the observed interevent times during a period in which the observation rate is approximately constant. The empirical distributions for both catalogs exhibit non-Poissonian behavior in which there is an abundance of short interevent times compared to an exponential distribution. Two types of statistical distributions are used to model this clustering behavior: (1) long-term clustering described by a universal scaling law, and (2) Omori law decay of aftershocks and triggered sources. The empirical and theoretical distributions all imply an increased hazard rate after a <span class="hlt">tsunami</span>, followed by a gradual decrease with time approaching a constant hazard rate. Examination of <span class="hlt">tsunami</span> sources suggests that many of the short interevent times are caused by triggered earthquakes, though the triggered events are not necessarily on the same fault.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.er.usgs.gov/publication/70195105','USGSPUBS'); return false;" href="https://pubs.er.usgs.gov/publication/70195105"><span>Probabilistic <span class="hlt">tsunami</span> hazard analysis: Multiple sources and global applications</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Grezio, Anita; Babeyko, Andrey; Baptista, Maria Ana; Behrens, Jörn; Costa, Antonio; Davies, Gareth; Geist, Eric L.; Glimsdal, Sylfest; González, Frank I.; Griffin, Jonathan; Harbitz, Carl B.; LeVeque, Randall J.; Lorito, Stefano; Løvholt, Finn; Omira, Rachid; Mueller, Christof; Paris, Raphaël; Parsons, Thomas E.; Polet, Jascha; Power, William; Selva, Jacopo; Sørensen, Mathilde B.; Thio, Hong Kie</p> <p>2017-01-01</p> <p>Applying probabilistic methods to infrequent but devastating natural events is intrinsically challenging. For <span class="hlt">tsunami</span> analyses, a suite of geophysical assessments should be in principle evaluated because of the different causes generating <span class="hlt">tsunamis</span> (earthquakes, landslides, volcanic activity, meteorological events, and asteroid impacts) with varying mean recurrence rates. Probabilistic <span class="hlt">Tsunami</span> Hazard Analyses (PTHAs) are conducted in different areas of the world at global, regional, and local scales with the aim of understanding <span class="hlt">tsunami</span> hazard to inform <span class="hlt">tsunami</span> risk reduction activities. PTHAs enhance knowledge of the potential tsunamigenic threat by estimating the probability of exceeding specific levels of <span class="hlt">tsunami</span> intensity metrics (e.g., run-up or maximum inundation heights) within a certain period of time (exposure time) at given locations (target sites); these estimates can be summarized in hazard maps or hazard curves. This discussion presents a broad overview of PTHA, including (i) sources and mechanisms of <span class="hlt">tsunami</span> generation, emphasizing the variety and complexity of the <span class="hlt">tsunami</span> sources and their generation mechanisms, (ii) developments in modeling the propagation and impact of <span class="hlt">tsunami</span> waves, and (iii) statistical procedures for <span class="hlt">tsunami</span> hazard estimates that include the associated epistemic and aleatoric uncertainties. Key elements in understanding the potential <span class="hlt">tsunami</span> hazard are discussed, in light of the rapid development of PTHA methods during the last decade and the globally distributed applications, including the importance of considering multiple sources, their relative intensities, probabilities of occurrence, and uncertainties in an integrated and consistent probabilistic framework.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017RvGeo..55.1158G','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017RvGeo..55.1158G"><span>Probabilistic <span class="hlt">Tsunami</span> Hazard Analysis: Multiple Sources and Global Applications</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Grezio, Anita; Babeyko, Andrey; Baptista, Maria Ana; Behrens, Jörn; Costa, Antonio; Davies, Gareth; Geist, Eric L.; Glimsdal, Sylfest; González, Frank I.; Griffin, Jonathan; Harbitz, Carl B.; LeVeque, Randall J.; Lorito, Stefano; Løvholt, Finn; Omira, Rachid; Mueller, Christof; Paris, Raphaël.; Parsons, Tom; Polet, Jascha; Power, William; Selva, Jacopo; Sørensen, Mathilde B.; Thio, Hong Kie</p> <p>2017-12-01</p> <p>Applying probabilistic methods to infrequent but devastating natural events is intrinsically challenging. For <span class="hlt">tsunami</span> analyses, a suite of geophysical assessments should be in principle evaluated because of the different causes generating <span class="hlt">tsunamis</span> (earthquakes, landslides, volcanic activity, meteorological events, and asteroid impacts) with varying mean recurrence rates. Probabilistic <span class="hlt">Tsunami</span> Hazard Analyses (PTHAs) are conducted in different areas of the world at global, regional, and local scales with the aim of understanding <span class="hlt">tsunami</span> hazard to inform <span class="hlt">tsunami</span> risk reduction activities. PTHAs enhance knowledge of the potential tsunamigenic threat by estimating the probability of exceeding specific levels of <span class="hlt">tsunami</span> intensity metrics (e.g., run-up or maximum inundation heights) within a certain period of time (exposure time) at given locations (target sites); these estimates can be summarized in hazard maps or hazard curves. This discussion presents a broad overview of PTHA, including (i) sources and mechanisms of <span class="hlt">tsunami</span> generation, emphasizing the variety and complexity of the <span class="hlt">tsunami</span> sources and their generation mechanisms, (ii) developments in modeling the propagation and impact of <span class="hlt">tsunami</span> waves, and (iii) statistical procedures for <span class="hlt">tsunami</span> hazard estimates that include the associated epistemic and aleatoric uncertainties. Key elements in understanding the potential <span class="hlt">tsunami</span> hazard are discussed, in light of the rapid development of PTHA methods during the last decade and the globally distributed applications, including the importance of considering multiple sources, their relative intensities, probabilities of occurrence, and uncertainties in an integrated and consistent probabilistic framework.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AGUFMNH21C1839R','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AGUFMNH21C1839R"><span>Invesion of <span class="hlt">tsunami</span> height using GPS TEC data. The case of the 2012 Haida Gwaii <span class="hlt">tsunami</span> and Earthquake.</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Rakoto, V.; Lognonne, P. H.; Rolland, L. M.</p> <p>2015-12-01</p> <p>Large earthquakes (i.eM>6) and <span class="hlt">tsunamis</span> associated are responsible for ionospheric perturbations. These perturbations can be observed in the total electron content (TEC) measured from multi- frequency Global Navigation Satellite systems (GNSS) data (e.g GPS). We will focus on the studies of the Haïda Gwaii earthquake and <span class="hlt">tsunami</span> case. It happened the 28 october 2012 along the Queen Charlotte fault of the Canada Western Coast. First, we compare GPS data of perturbation TEC to our model. We model the TEC perturbation in several steps. (1) First, we compute <span class="hlt">tsunami</span> normal modes modes in atmosphere in using PREM model with 4.7km of oceanic layer. (2) We sum all the <span class="hlt">tsunami</span> modes to obtain the neutral displacement. (3) We couple the ionosphere with the neutral atmosphere. (4) We integrate the perturbed electron density along each satellite station line of sight. At last, we present first results of TEC inversion in order to retrieve the waveform of the <span class="hlt">tsunami</span>. This inversion has been done on synthetics data assuming Queen Charlotte Earthquake and <span class="hlt">Tsunami</span> can be considered as a point source in far field.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016EGUGA..1817417S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016EGUGA..1817417S"><span>The Study to Improve <span class="hlt">Tsunami</span> Preparedness Education in Turkey</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Sakamoto, Mayumi; Tanırcan, Gülüm; Kaneda, Yoshiyuki; Puskulcu, Seyhun; Kumamoto, Kunihiko</p> <p>2016-04-01</p> <p>Compared to its long history on disastrous earthquakes, disaster education history in Turkey is rather short. It has just started with an initiative of Disaster Preparedness Education Unit of Bogazici University (BU/DPEU) after 1999 Kocaeli Earthquake. Training modules and materials on disaster preparedness were prepared both for students, teachers and community. Regarding to the school education, the Ministry of National Education (MoNE) reformed their education plan in 2003, and disaster education became one of eight focused components for primary-middle education. In 2011-2014 MoNE had conducted "School-based Disaster Education Project" in collaboration with Japan International Cooperation Agency (JICA). The majority of the school education materials focus more on earthquake and there are very few education programs on <span class="hlt">tsunami</span>. Within the MarDiM (Earthquake and <span class="hlt">Tsunami</span> Disaster Mitigation in the Marmara Region and Disaster Education in Turkey) project between Turkey and Japan a multidisciplinary engineering research as well as development of disaster education, <span class="hlt">tsunami</span> education booklet and video were newly developed in 2015. In order to investigate students' knowledge natural disasters and disaster preparedness with focus on <span class="hlt">tsunami</span>, a questionnaire based survey was conducted. The survey aims to clarify following questions: 1) how students obtain natural disaster information, 2) how students prepare for natural disaster, 3) knowledge on <span class="hlt">tsunami</span> (hazard mechanism, evacuation behavior, historical disaster). The study was conducted by BU/DPEU in 2015 and 375 students answered the questionnaire. Results showed that students have more interest on earthquake, flood, <span class="hlt">tsunami</span> and landslide followed it. Most students have heard about <span class="hlt">tsunami</span> and the school is a key resource of their information. They know relatively well about <span class="hlt">tsunami</span> mechanism, however, they have less knowledge on <span class="hlt">tsunami</span> evacuation behavior and <span class="hlt">tsunami</span> history in Turkey. In order to let students have</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013EGUGA..15.5562L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013EGUGA..15.5562L"><span>Toward the Real-Time <span class="hlt">Tsunami</span> Parameters Prediction</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Lavrentyev, Mikhail; Romanenko, Alexey; Marchuk, Andrey</p> <p>2013-04-01</p> <p>Today, a wide well-developed system of deep ocean <span class="hlt">tsunami</span> detectors operates over the Pacific. Direct measurements of <span class="hlt">tsunami</span>-wave time series are available. However, <span class="hlt">tsunami</span>-warning systems fail to predict basic parameters of <span class="hlt">tsunami</span> waves on time. Dozens examples could be provided. In our view, the lack of computational power is the main reason of these failures. At the same time, modern computer technologies such as, GPU (graphic processing unit) and FPGA (field programmable gates array), can dramatically improve data processing performance, which may enhance timely <span class="hlt">tsunami</span>-warning prediction. Thus, it is possible to address the challenge of real-time <span class="hlt">tsunami</span> forecasting for selected geo regions. We propose to use three new techniques in the existing <span class="hlt">tsunami</span> warning systems to achieve real-time calculation of <span class="hlt">tsunami</span> wave parameters. First of all, measurement system (DART buoys location, e.g.) should be optimized (both in terms of wave arriving time and amplitude parameter). The corresponding software application exists today and is ready for use [1]. We consider the example of the coastal line of Japan. Numerical tests show that optimal installation of only 4 DART buoys (accounting the existing sea bed cable) will reduce the <span class="hlt">tsunami</span> wave detection time to only 10 min after an underwater earthquake. Secondly, as was shown by this paper authors, the use of GPU/FPGA technologies accelerates the execution of the MOST (method of splitting <span class="hlt">tsunami</span>) code by 100 times [2]. Therefore, <span class="hlt">tsunami</span> wave propagation over the ocean area 2000*2000 km (wave propagation simulation: time step 10 sec, recording each 4th spatial point and 4th time step) could be calculated at: 3 sec with 4' mesh 50 sec with 1' mesh 5 min with 0.5' mesh The algorithm to switch from coarse mesh to the fine grain one is also available. Finally, we propose the new algorithm for <span class="hlt">tsunami</span> source parameters determination by real-time processing the time series, obtained at DART. It is possible to approximate</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=19730006669&hterms=tsunami&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D50%26Ntt%3Dtsunami','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=19730006669&hterms=tsunami&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D50%26Ntt%3Dtsunami"><span>Tides and <span class="hlt">tsunamis</span></span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Zetler, B. D.</p> <p>1972-01-01</p> <p>Although tides and <span class="hlt">tsunamis</span> are both shallow water waves, it does not follow that they are equally amenable to an observational program using an orbiting altimeter on a satellite. A numerical feasibility investigation using a hypothetical satellite orbit, real tide observations, and sequentially increased levels of white noise has been conducted to study the degradation of the tidal harmonic constants caused by adding noise to the tide data. <span class="hlt">Tsunami</span> waves, possibly a foot high and one hundred miles long, must be measured in individual orbits, thus requiring high relative resolution.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.er.usgs.gov/publication/70073331','USGSPUBS'); return false;" href="https://pubs.er.usgs.gov/publication/70073331"><span>Local <span class="hlt">tsunamis</span> and earthquake source parameters</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Geist, Eric L.; Dmowska, Renata; Saltzman, Barry</p> <p>1999-01-01</p> <p>This chapter establishes the relationship among earthquake source parameters and the generation, propagation, and run-up of local <span class="hlt">tsunamis</span>. In general terms, displacement of the seafloor during the earthquake rupture is modeled using the elastic dislocation theory for which the displacement field is dependent on the slip distribution, fault geometry, and the elastic response and properties of the medium. Specifically, nonlinear long-wave theory governs the propagation and run-up of <span class="hlt">tsunamis</span>. A parametric study is devised to examine the relative importance of individual earthquake source parameters on local <span class="hlt">tsunamis</span>, because the physics that describes <span class="hlt">tsunamis</span> from generation through run-up is complex. Analysis of the source parameters of various tsunamigenic earthquakes have indicated that the details of the earthquake source, namely, nonuniform distribution of slip along the fault plane, have a significant effect on the local <span class="hlt">tsunami</span> run-up. Numerical methods have been developed to address the realistic bathymetric and shoreline conditions. The accuracy of determining the run-up on shore is directly dependent on the source parameters of the earthquake, which provide the initial conditions used for the hydrodynamic models.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2012AGUFMNH13B..06H','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2012AGUFMNH13B..06H"><span>Warnings and reactions to the Tohoku <span class="hlt">tsunami</span> in Hawaii</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Houghton, B. F.; Gregg, C. E.</p> <p>2012-12-01</p> <p>The 2011 Tohoku <span class="hlt">tsunami</span> was the first chance within the USA to document and interpret large-scale response and protective action behavior with regard to a large, destructive <span class="hlt">tsunami</span> since 1964. The 2011 <span class="hlt">tsunami</span> offered a unique, short-lived opportunity to transform our understanding of individual and collective behavior in the US in response to a well-publicized <span class="hlt">tsunami</span> warning and, in particular, to look at the complex interplay of official information sources, informal warnings and information-seeking in communities with significant physical impact from the 2011 <span class="hlt">tsunami</span>. This study is focused in Hawaii, which suffered significant ($30 M), but localized damage, from the 2011 Tohoku <span class="hlt">tsunami</span> and underwent a full-scale <span class="hlt">tsunami</span> evacuation. The survey contrasts three Hawaiian communities which either experienced significant <span class="hlt">tsunami</span> damage (Kona) or little physical impact (Hilo, Honolulu). It also contrasts a long-established local community with experience of evacuation, destruction and loss of life in two <span class="hlt">tsunamis</span> (Hilo) with a metropolitan population with a large visitor presence (Honolulu) that has not experienced a damaging <span class="hlt">tsunami</span> in decades. Many factors such as personal perceptions of risk, beliefs, past exposure to the hazard, forecast uncertainty, trust in information sources, channels of transmission of information, the need for message confirmation, responsibilities, obligations, mobility, the ability to prepare, the availability of transportation and transport routes, and an acceptable evacuation center affected behavior. We provide new information on how people reacted to warnings and <span class="hlt">tsunamis</span>, especially with regard to social integration of official warnings and social media. The results of this study will strengthen community resilience to <span class="hlt">tsunamis</span>, working with emergency managers to integrate strengths and weaknesses of the public responses with official response plans.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2008AGUFMOS43D1341B','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2008AGUFMOS43D1341B"><span>Near Source 2007 Peru <span class="hlt">Tsunami</span> Runup Observations and Modeling</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Borrero, J. C.; Fritz, H. M.; Kalligeris, N.; Broncano, P.; Ortega, E.</p> <p>2008-12-01</p> <p>On 15 August 2007 an earthquake with moment magnitude (Mw) of 8.0 centered off the coast of central Peru, generated a <span class="hlt">tsunami</span> with locally focused runup heights of up to 10 m. A reconnaissance team was deployed two weeks after the event and investigated the <span class="hlt">tsunami</span> effects at 51 sites. Three <span class="hlt">tsunami</span> fatalities were reported south of the Paracas Peninsula in a sparsely populated desert area where the largest <span class="hlt">tsunami</span> runup heights and massive inundation distances up to 2 km were measured. Numerical modeling of the earthquake source and <span class="hlt">tsunami</span> suggest that a region of high slip near the coastline was primarily responsible for the extreme runup heights. The town of Pisco was spared by the Paracas Peninsula, which blocked <span class="hlt">tsunami</span> waves from propagating northward from the high slip region. As with all near field <span class="hlt">tsunamis</span>, the waves struck within minutes of the massive ground shaking. Spontaneous evacuations coordinated by the Peruvian Coast Guard minimized the fatalities and illustrate the importance of community-based education and awareness programs. The residents of the fishing village Lagunilla were unaware of the <span class="hlt">tsunami</span> hazard after an earthquake and did not evacuate, which resulted in 3 fatalities. Despite the relatively benign <span class="hlt">tsunami</span> effects at Pisco from this event, the <span class="hlt">tsunami</span> hazard for this city (and its liquefied natural gas terminal) cannot be underestimated. Between 1687 and 1868, the city of Pisco was destroyed 4 times by <span class="hlt">tsunami</span> waves. Since then, two events (1974 and 2007) have resulted in partial inundation and moderate damage. The fact that potentially devastating <span class="hlt">tsunami</span> runup heights were observed immediately south of the peninsula only serves to underscore this point.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.er.usgs.gov/publication/70196102','USGSPUBS'); return false;" href="https://pubs.er.usgs.gov/publication/70196102"><span>A global probabilistic <span class="hlt">tsunami</span> hazard assessment from earthquake sources</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Davies, Gareth; Griffin, Jonathan; Lovholt, Finn; Glimsdal, Sylfest; Harbitz, Carl; Thio, Hong Kie; Lorito, Stefano; Basili, Roberto; Selva, Jacopo; Geist, Eric L.; Baptista, Maria Ana</p> <p>2017-01-01</p> <p>Large <span class="hlt">tsunamis</span> occur infrequently but have the capacity to cause enormous numbers of casualties, damage to the built environment and critical infrastructure, and economic losses. A sound understanding of <span class="hlt">tsunami</span> hazard is required to underpin management of these risks, and while <span class="hlt">tsunami</span> hazard assessments are typically conducted at regional or local scales, globally consistent assessments are required to support international disaster risk reduction efforts, and can serve as a reference for local and regional studies. This study presents a global-scale probabilistic <span class="hlt">tsunami</span> hazard assessment (PTHA), extending previous global-scale assessments based largely on scenario analysis. Only earthquake sources are considered, as they represent about 80% of the recorded damaging <span class="hlt">tsunami</span> events. Globally extensive estimates of <span class="hlt">tsunami</span> run-up height are derived at various exceedance rates, and the associated uncertainties are quantified. Epistemic uncertainties in the exceedance rates of large earthquakes often lead to large uncertainties in <span class="hlt">tsunami</span> run-up. Deviations between modelled <span class="hlt">tsunami</span> run-up and event observations are quantified, and found to be larger than suggested in previous studies. Accounting for these deviations in PTHA is important, as it leads to a pronounced increase in predicted <span class="hlt">tsunami</span> run-up for a given exceedance rate.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013EGUGA..15.9704L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013EGUGA..15.9704L"><span>Towards a certification process for <span class="hlt">tsunami</span> early warning systems</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Löwe, Peter; Wächter, Jochen; Hammitzsch, Martin</p> <p>2013-04-01</p> <p>The natural disaster of the Boxing Day <span class="hlt">Tsunami</span> of 2004 was followed by an information catastrophe. Crucial early warning information could not be delivered to the communities under imminent threat, resulting in over 240,000 casualties in 14 countries. This tragedy sparked the development of a new generation of integrated modular <span class="hlt">Tsunami</span> Early Warning Systems (TEWS). While significant advances were accomplished in the past years, recent events, like the Chile 2010 and the Tohoku 2011 <span class="hlt">tsunami</span> demonstrate that the key technical challenge for <span class="hlt">Tsunami</span> Early Warning research on the supranational scale still lies in the timely <span class="hlt">issuing</span> of status information and reliable early warning messages in a proven workflow. A second challenge stems from the main objective of the Intergovernmental Oceanographic Commission of UNESCO (IOC) <span class="hlt">Tsunami</span> Programme, the integration of national TEWS towards ocean-wide networks: Each of the increasing number of integrated <span class="hlt">Tsunami</span> Early Warning Centres has to cope with the continuing evolution of sensors, hardware and software while having to maintain reliable inter-center information exchange services. To avoid future information catastrophes, the performance of all components, ranging from individual sensors, to Warning Centers within their particular end-to-end Warning System Environments, and up to federated Systems of <span class="hlt">Tsunami</span> Warning Systems has to be regularly validated against defined criteria. Since 2004, GFZ German Research Centre for Geosciences (GFZ) has built up expertise in the field of TEWS. Within GFZ, the Centre for GeoInformation Technology (CeGIT) has focused its work on the geoinformatics aspects of TEWS in two projects already, being the German Indonesian <span class="hlt">Tsunami</span> Early Warning System (GITEWS) and the Distant Early Warning System (DEWS). This activity is continued in the TRIDEC project (Collaborative, Complex, and Critical Decision Processes in Evolving Crises) funded under the European Union's seventh Framework Programme (FP7</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018Tectp.722..265A','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018Tectp.722..265A"><span>Source of high <span class="hlt">tsunamis</span> along the southernmost Ryukyu trench inferred from <span class="hlt">tsunami</span> stratigraphy</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Ando, Masataka; Kitamura, Akihisa; Tu, Yoko; Ohashi, Yoko; Imai, Takafumi; Nakamura, Mamoru; Ikuta, Ryoya; Miyairi, Yosuke; Yokoyama, Yusuke; Shishikura, Masanobu</p> <p>2018-01-01</p> <p>Four paleotsunamis deposits are exposed in a trench on the coastal lowland north of the southern Ryukyu subduction zone trench. Radiocarbon ages on coral and bivalve shells show that the four deposits record <span class="hlt">tsunamis</span> date from the last 2000 yrs., including a historical <span class="hlt">tsunami</span> with a maximum run-up of 30 m in 1771, for an average recurrence interval of approximately 600 yrs. Ground fissures in a soil beneath the 1771 <span class="hlt">tsunami</span> deposit may have been generated by stronger shaking than recorded by historical documents. The repeated occurrence of the paleotsunami deposits supports a tectonic source model on the plate boundary rather than a nontectonic source model, such as submarine landslides. Assuming a thrust model at the subduction zone, the seismic coupling ratio may be as low as 20%.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2009AGUFMNH34B..01M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2009AGUFMNH34B..01M"><span>The <span class="hlt">Tsunami</span> Project: Integrating engineering, natural and social sciences into post-<span class="hlt">tsunami</span> surveys</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>McAdoo, B. G.; Goff, J. R.; Fritz, H. M.; Cochard, R.; Kong, L. S.</p> <p>2009-12-01</p> <p>Complexities resulting from recent <span class="hlt">tsunamis</span> in the Solomon Islands (2007), Java (2006) and Sumatra (2004, 2005) have demonstrated the need for an integrated, interdisciplinary team of engineers, natural and social scientists to better understand the nature of the disaster. Documenting the complex interactions in the coupled human-environment system necessitate a coordinated, interdisciplinary approach that combines the strengths of engineering, geoscience, ecology and social science. Engineers, modelers and geoscientists untangle the forces required to leave an imprint of a <span class="hlt">tsunami</span> in the geologic record. These same forces affect ecosystems that provide services from buffers to food security; therefore coastal ecologists play a vital role. It is also crucial to understand the social structures that contribute to disasters, so local or regional policy experts, planners, economists, etc. should be included. When these experts arrive in a disaster area as part of an Interdisciplinary <span class="hlt">Tsunami</span> Survey Team, the interactions between the systems can be discussed in the field, and site-specific data can be collected. A diverse team in the field following a <span class="hlt">tsunami</span> shares critical resources and discoveries in real-time, making the survey more efficient. Following the 2006 Central Java earthquake and <span class="hlt">tsunami</span>, civil engineers covered broad areas quickly, collecting ephemeral water level data and communicating areas of interest to the geologists, who would follow to do the slower sediment data collection. The 2007 Solomon Islands earthquake and <span class="hlt">tsunami</span> caused extensive damage to the coral reef, which highlighting the need to have an ecologist on the team who was able to identify species and their energy tolerance. Rather than diluting the quality of post-<span class="hlt">tsunami</span> data collection, this approach in fact strengthens it- engineers and geoscientists no longer have to indentify coral or mangrove species, nor do ecologists evaluate the velocity of a wave as it impacted a forested</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://ntwc.arh.noaa.gov','SCIGOVWS'); return false;" href="http://ntwc.arh.noaa.gov"><span>U.S. <span class="hlt">Tsunami</span> Warning Centers</span></a></p> <p><a target="_blank" href="http://www.science.gov/aboutsearch.html">Science.gov Websites</a></p> <p></p> <p></p> <p>> <em>No</em> <span class="hlt">Tsunami</span> Warning, Advisory, Watch, or Threat There is <em>No</em> <span class="hlt">Tsunami</span> Warning Loading Earthquake Layer Loading Alert Layer Earthquake Layer failed to <em>load</em> Alerts/Threats Layer failed to <em>load</em> Default View Alaska Hawaii Guam/CNMI American Samoa Caribbean North America South America</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFMNH23A0197W','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFMNH23A0197W"><span><span class="hlt">Tsunami</span> Early Warning via a Physics-Based Simulation Pipeline</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Wilson, J. M.; Rundle, J. B.; Donnellan, A.; Ward, S. N.; Komjathy, A.</p> <p>2017-12-01</p> <p>Through independent efforts, physics-based simulations of earthquakes, <span class="hlt">tsunamis</span>, and atmospheric signatures of these phenomenon have been developed. With the goal of producing <span class="hlt">tsunami</span> forecasts and early warning tools for at-risk regions, we join these three spheres to create a simulation pipeline. The Virtual Quake simulator can produce thousands of years of synthetic seismicity on large, complex fault geometries, as well as the expected surface displacement in tsunamigenic regions. These displacements are used as initial conditions for <span class="hlt">tsunami</span> simulators, such as <span class="hlt">Tsunami</span> Squares, to produce catalogs of potential <span class="hlt">tsunami</span> scenarios with probabilities. Finally, these <span class="hlt">tsunami</span> scenarios can act as input for simulations of associated ionospheric total electron content, signals which can be detected by GNSS satellites for purposes of early warning in the event of a real <span class="hlt">tsunami</span>. We present the most recent developments in this project.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2009AGUFMOS43A1370W','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2009AGUFMOS43A1370W"><span>Development Of New Databases For <span class="hlt">Tsunami</span> Hazard Analysis In California</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Wilson, R. I.; Barberopoulou, A.; Borrero, J. C.; Bryant, W. A.; Dengler, L. A.; Goltz, J. D.; Legg, M.; McGuire, T.; Miller, K. M.; Real, C. R.; Synolakis, C.; Uslu, B.</p> <p>2009-12-01</p> <p>The California Geological Survey (CGS) has partnered with other <span class="hlt">tsunami</span> specialists to produce two statewide databases to facilitate the evaluation of <span class="hlt">tsunami</span> hazard products for both emergency response and land-use planning and development. A robust, State-run <span class="hlt">tsunami</span> deposit database is being developed that compliments and expands on existing databases from the National Geophysical Data Center (global) and the USGS (Cascadia). Whereas these existing databases focus on references or individual <span class="hlt">tsunami</span> layers, the new State-maintained database concentrates on the location and contents of individual borings/trenches that sample <span class="hlt">tsunami</span> deposits. These data provide an important observational benchmark for evaluating the results of <span class="hlt">tsunami</span> inundation modeling. CGS is collaborating with and sharing the database entry form with other states to encourage its continued development beyond California’s coastline so that historic <span class="hlt">tsunami</span> deposits can be evaluated on a regional basis. CGS is also developing an internet-based, <span class="hlt">tsunami</span> source scenario database and forum where <span class="hlt">tsunami</span> source experts and hydrodynamic modelers can discuss the validity of <span class="hlt">tsunami</span> sources and their contribution to hazard assessments for California and other coastal areas bordering the Pacific Ocean. The database includes all distant and local <span class="hlt">tsunami</span> sources relevant to California starting with the forty scenarios evaluated during the creation of the recently completed statewide series of <span class="hlt">tsunami</span> inundation maps for emergency response planning. Factors germane to probabilistic <span class="hlt">tsunami</span> hazard analyses (PTHA), such as event histories and recurrence intervals, are also addressed in the database and discussed in the forum. Discussions with other <span class="hlt">tsunami</span> source experts will help CGS determine what additional scenarios should be considered in PTHA for assessing the feasibility of generating products of value to local land-use planning and development.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFMNH12A..06A','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFMNH12A..06A"><span>Comparison of Human Response against Earthquake and <span class="hlt">Tsunami</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Arikawa, T.; Güler, H. G.; Yalciner, A. C.</p> <p>2017-12-01</p> <p>The evacuation response against the earthquake and <span class="hlt">tsunamis</span> is very important for the reduction of human damages against <span class="hlt">tsunami</span>. But it is very difficult to predict the human behavior after shaking of the earthquake. The purpose of this research is to clarify the difference of the human response after the earthquake shock in the difference countries and to consider the relation between the response and the safety feeling, knowledge and education. For the objective of this paper, the questionnaire survey was conducted after the 21st July 2017 Gokova earthquake and <span class="hlt">tsunami</span>. Then, consider the difference of the human behavior by comparison of that in 2015 Chilean earthquake and <span class="hlt">tsunami</span> and 2011 Japan earthquake and <span class="hlt">tsunami</span>. The seismic intensity of the survey points was almost 6 to 7. The contents of the questions include the feeling of shaking, recalling of the <span class="hlt">tsunami</span>, the behavior after shock and so on. The questionnaire was conducted for more than 20 20 people in 10 areas. The results are the following; 1) Most people felt that it was a strong shake not to stand, 2) All of the questionnaires did not recall the <span class="hlt">tsunami</span>, 3) Depending on the area, they felt that after the earthquake the beach was safer than being at home. 4) After they saw the sea drawing, they thought that a <span class="hlt">tsunami</span> would come and ran away. Fig. 1 shows the comparison of the evacuation rate within 10 minutes in 2011 Japan, 2015 Chile and 2017 Turkey.. From the education point of view, education for <span class="hlt">tsunami</span> is not done much in Turkey. From the protection facilities point of view, the high sea walls are constructed only in Japan. From the warning alert point of view, there is no warning system against <span class="hlt">tsunamis</span> in the Mediterranean Sea. As a result of this survey, the importance of <span class="hlt">tsunami</span> education is shown, and evacuation tends to be delayed if dependency on facilities and alarms is too high.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014AGUFMNH33B3913R','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014AGUFMNH33B3913R"><span>The SAFRR <span class="hlt">Tsunami</span> Scenario: from Publication to Implementation</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Ross, S.; Jones, L.; Miller, K.; Wilson, R. I.; Burkett, E. R.; Bwarie, J.; Campbell, N. M.; Johnson, L. A.; Long, K.; Lynett, P. J.; Perry, S. C.; Plumlee, G. S.; Porter, K.; Real, C. R.; Ritchie, L. A.; Wein, A. M.; Whitmore, P.; Wood, N. J.</p> <p>2014-12-01</p> <p>The SAFRR <span class="hlt">Tsunami</span> Scenario modeled a hypothetical but plausible <span class="hlt">tsunami</span>, created by an Mw9.1 earthquake occurring offshore from the Alaskan peninsula, and its impacts on the California coast. We presented the likely inundation areas, current velocities in key ports and harbors, physical damage and repair costs, economic consequences, environmental impacts, social vulnerability, emergency management, and policy implications for California associated with the scenario <span class="hlt">tsunami</span>. The intended users were those responsible for making mitigation decisions before and those who need to make rapid decisions during future <span class="hlt">tsunamis</span>. The <span class="hlt">Tsunami</span> Scenario process is being evaluated by the University of Colorado's Natural Hazards Center; this is the first time that a USGS scenario of this scale has been formally and systematically evaluated by an external party. The SAFRR <span class="hlt">Tsunami</span> Scenario was publicly introduced in September, 2013, through a series of regional workshops in California that brought together emergency managers, maritime authorities, first responders, elected officials and staffers, the business sector, state agencies, local media, scientific partners, and special districts such as utilities (http://pubs.usgs.gov/of/2013/1170/). In March, 2014, NOAA's annual <span class="hlt">tsunami</span> warning exercise, PACIFEX, was based on the SAFRR <span class="hlt">Tsunami</span> Scenario. Many groups conducted exercises associated with PACIFEX including the State of Washington and several counties in California. San Francisco had the most comprehensive exercise with a 3-day functional exercise based on the SAFRR <span class="hlt">Tsunami</span> Scenario. In addition, the National Institutes of Health ran an exercise at the Ports of Los Angeles and Long Beach in April, 2014, building on the <span class="hlt">Tsunami</span> Scenario, focusing on the recovery phase and adding a refinery fire. The benefits and lessons learned include: 1) stimulating dialogue among practitioners to solve problems; 2) seeing groups add extra components to their exercises that best address their</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.usgs.gov/gip/105/','USGSPUBS'); return false;" href="https://pubs.usgs.gov/gip/105/"><span><span class="hlt">Tsunami</span> Preparedness Along the U.S. West Coast (video)</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Filmed and edited by: Loeffler, Kurt; Gesell, Justine</p> <p>2010-01-01</p> <p><span class="hlt">Tsunamis</span> are a constant threat to the coasts of our world. Although <span class="hlt">tsunamis</span> are infrequent along the West coast of the United States, it is possible and necessary to prepare for potential <span class="hlt">tsunami</span> hazards to minimize loss of life and property. Community awareness programs are important, as they strive to create an informed society by providing education and training. This video about <span class="hlt">tsunami</span> preparedness along the West coast distinguishes between a local <span class="hlt">tsunami</span> and a distant event and focuses on the specific needs of each region. It offers guidelines for correct <span class="hlt">tsunami</span> response and community preparedness from local emergency managers, first-responders, and leading experts on <span class="hlt">tsunami</span> hazards and warnings, who have been working on ways of making the <span class="hlt">tsunami</span> affected regions safer for the people and communities on a long-term basis. This video was produced by the US Geological Survey (USGS) in cooperation with the California Emergency Management Agency (CalEMA), Oregon Department of Geology and Mineral Industries (DOGAMI), Washington Emergency Management Division (EMD), Marin Office of Emergency Services, and Pacific Gas and Electric (PG&E).</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_14");'>14</a></li> <li><a href="#" onclick='return showDiv("page_15");'>15</a></li> <li class="active"><span>16</span></li> <li><a href="#" onclick='return showDiv("page_17");'>17</a></li> <li><a href="#" onclick='return showDiv("page_18");'>18</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_16 --> <div id="page_17" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_15");'>15</a></li> <li><a href="#" onclick='return showDiv("page_16");'>16</a></li> <li class="active"><span>17</span></li> <li><a href="#" onclick='return showDiv("page_18");'>18</a></li> <li><a href="#" onclick='return showDiv("page_19");'>19</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="321"> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFMNH23A0252S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFMNH23A0252S"><span>Test operation of a real-time <span class="hlt">tsunami</span> inundation forecast system using actual data observed by S-net</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Suzuki, W.; Yamamoto, N.; Miyoshi, T.; Aoi, S.</p> <p>2017-12-01</p> <p>If the <span class="hlt">tsunami</span> inundation information can be rapidly and stably forecast before the large <span class="hlt">tsunami</span> attacks, the information would have effectively people realize the impeding danger and necessity of evacuation. Toward that goal, we have developed a prototype system to perform the real-time <span class="hlt">tsunami</span> inundation forecast for Chiba prefecture, eastern Japan, using off-shore ocean bottom pressure data observed by the seafloor observation network for earthquakes and <span class="hlt">tsunamis</span> along the Japan Trench (S-net) (Aoi et al., 2015, AGU). Because <span class="hlt">tsunami</span> inundation simulation requires a large computation cost, we employ a database approach searching the pre-calculated <span class="hlt">tsunami</span> scenarios that reasonably explain the observed S-net pressure data based on the multi-index method (Yamamoto et al., 2016, EPS). The scenario search is regularly repeated, not triggered by the occurrence of the <span class="hlt">tsunami</span> event, and the forecast information is generated from the selected scenarios that meet the criterion. Test operation of the prototype system using the actual observation data started in April, 2017 and the performance and behavior of the system during non-<span class="hlt">tsunami</span> event periods have been examined. It is found that the treatment of the noises affecting the observed data is the main <span class="hlt">issue</span> to be solved toward the improvement of the system. Even if the observed pressure data are filtered to extract the <span class="hlt">tsunami</span> signals, the noises in ordinary times or unusually large noises like high ocean waves due to storm affect the comparison between the observed and scenario data. Due to the noises, the <span class="hlt">tsunami</span> scenarios are selected and the <span class="hlt">tsunami</span> is forecast although any <span class="hlt">tsunami</span> event does not actually occur. In most cases, the selected scenarios due to the noises have the fault models in the region along the Kurile or Izu-Bonin Trenches, far from the S-net region, or the fault models below the land. Based on the parallel operation of the forecast system with a different scenario search condition and</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2012NHESS..12.1855U','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2012NHESS..12.1855U"><span>Web-based <span class="hlt">Tsunami</span> Early Warning System: a case study of the 2010 Kepulaunan Mentawai Earthquake and <span class="hlt">Tsunami</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Ulutas, E.; Inan, A.; Annunziato, A.</p> <p>2012-06-01</p> <p>This study analyzes the response of the Global Disasters Alerts and Coordination System (GDACS) in relation to a case study: the Kepulaunan Mentawai earthquake and related <span class="hlt">tsunami</span>, which occurred on 25 October 2010. The GDACS, developed by the European Commission Joint Research Center, combines existing web-based disaster information management systems with the aim to alert the international community in case of major disasters. The <span class="hlt">tsunami</span> simulation system is an integral part of the GDACS. In more detail, the study aims to assess the <span class="hlt">tsunami</span> hazard on the Mentawai and Sumatra coasts: the <span class="hlt">tsunami</span> heights and arrival times have been estimated employing three propagation models based on the long wave theory. The analysis was performed in three stages: (1) pre-calculated simulations by using the <span class="hlt">tsunami</span> scenario database for that region, used by the GDACS system to estimate the alert level; (2) near-real-time simulated <span class="hlt">tsunami</span> forecasts, automatically performed by the GDACS system whenever a new earthquake is detected by the seismological data providers; and (3) post-event <span class="hlt">tsunami</span> calculations using GCMT (Global Centroid Moment Tensor) fault mechanism solutions proposed by US Geological Survey (USGS) for this event. The GDACS system estimates the alert level based on the first type of calculations and on that basis sends alert messages to its users; the second type of calculations is available within 30-40 min after the notification of the event but does not change the estimated alert level. The third type of calculations is performed to improve the initial estimations and to have a better understanding of the extent of the possible damage. The automatic alert level for the earthquake was given between Green and Orange Alert, which, in the logic of GDACS, means no need or moderate need of international humanitarian assistance; however, the earthquake generated 3 to 9 m <span class="hlt">tsunami</span> run-up along southwestern coasts of the Pagai Islands where 431 people died. The post</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014EGUGA..1610035M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014EGUGA..1610035M"><span>The Hellenic National <span class="hlt">Tsunami</span> Warning Centre (HL-NTWC): Recent updates and future developments</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Melis, Nikolaos S.; Charalampakis, Marinos</p> <p>2014-05-01</p> <p>The Hellenic NTWC (HL-NTWC) was established officially by Greek Law in September 2010. HL-NTWC is hosted at the National Observatory of Athens, Institute of Geodynamics (NOA-IG), which also operates a 24/7 earthquake monitoring service in Greece and coordinates the newly established Hellenic Unified National Seismic Network. NOA-IG and HL-NTWC Operational Centre is linked to the Civil Protection Operational Centre and serves as the official alerting agency to the General Secretariat for Civil Protection in Greece, regarding earthquake events and <span class="hlt">tsunami</span> watch. Since August 2012, HL-NTWC acts as Candidate <span class="hlt">Tsunami</span> Watch Provider (CTWP) under the UNESCO IOC - ICG NEAMTWS <span class="hlt">tsunami</span> warning system (NEAM: North-Eastern Atlantic, the Mediterranean and connected seas) and offers its services to the NEAMTWS system. HL-NTWC has participated in all Communication Test Exercises (CTE) under NEAMTWS and also it has provided <span class="hlt">tsunami</span> scenarios for extended system testing exercises such as NEAMWAVE12. Some of the recent developments at HL-NTWC in Greece include: deployment of new tide gauge stations for <span class="hlt">tsunami</span> watch purposes, computation of <span class="hlt">tsunami</span> scenarios and extending the database in use, improving alerting response times, earthquake magnitude estimation and testing newly established software modules for <span class="hlt">tsunami</span> and earthquake alerting (i.e. Early-Est, SeisComP3 etc.) in Greece and the Eastern Mediterranean. Although funding today is limited, an advantage of the participation in important EC funded research projects, i.e. NERIES, NERA, TRANSFER, NEAMTIC and ASTARTE, demonstrates that collaboration of top class Research Institutions that care to produce important and useful results in the research front in Europe, can facilitate towards developing and operating top class Operational Centers, useful for Civil Protection purposes in regions in need. Last, it is demonstrated that HL-NTWC collaboration with important key role Research Centers in the Security and Safety <span class="hlt">issues</span> (e</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2011AGUFMNH13B1376M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2011AGUFMNH13B1376M"><span>Source of 1629 Banda Mega-Thrust Earthquake and <span class="hlt">Tsunami</span>: Implications for <span class="hlt">Tsunami</span> Hazard Evaluation in Eastern Indonesia</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Major, J. R.; Liu, Z.; Harris, R. A.; Fisher, T. L.</p> <p>2011-12-01</p> <p>Using Dutch records of geophysical events in Indonesia over the past 400 years, and <span class="hlt">tsunami</span> modeling, we identify <span class="hlt">tsunami</span> sources that have caused severe devastation in the past and are likely to reoccur in the near future. The earthquake history of Western Indonesia has received much attention since the 2004 Sumatra earthquakes and subsequent events. However, strain rates along a variety of plate boundary segments are just as high in eastern Indonesia where the earthquake history has not been investigated. Due to the rapid population growth in this region it is essential and urgent to evaluate its earthquake and <span class="hlt">tsunami</span> hazards. Arthur Wichmann's 'Earthquakes of the Indian Archipelago' shows that there were 30 significant earthquakes and 29 <span class="hlt">tsunami</span> between 1629 to 1877. One of the largest and best documented is the great earthquake and <span class="hlt">tsunami</span> effecting the Banda islands on 1 August, 1629. It caused severe damage from a 15 m <span class="hlt">tsunami</span> that arrived at the Banda Islands about a half hour after the earthquake. The earthquake was also recorded 230 km away in Ambon, but no <span class="hlt">tsunami</span> is mentioned. This event was followed by at least 9 years of aftershocks. The combination of these observations indicates that the earthquake was most likely a mega-thrust event. We use a numerical simulation of the <span class="hlt">tsunami</span> to locate the potential sources of the 1629 mega-thrust event and evaluate the <span class="hlt">tsunami</span> hazard in Eastern Indonesia. The numerical simulation was tested to establish the <span class="hlt">tsunami</span> run-up amplification factor for this region by <span class="hlt">tsunami</span> simulations of the 1992 Flores Island (Hidayat et al., 1995) and 2006 Java (Katoet al., 2007) earthquake events. The results yield a <span class="hlt">tsunami</span> run-up amplification factor of 1.5 and 3, respectively. However, the Java earthquake is a unique case of slow rupture that was hardly felt. The fault parameters of recent earthquakes in the Banda region are used for the models. The modeling narrows the possibilities of mega-thrust events the size of the one</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017EGUGA..1916874C','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017EGUGA..1916874C"><span><span class="hlt">Tsunami</span> Simulators in Physical Modelling - Concept to Practical Solutions</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Chandler, Ian; Allsop, William; Robinson, David; Rossetto, Tiziana; McGovern, David; Todd, David</p> <p>2017-04-01</p> <p>Whilst many researchers have conducted simple '<span class="hlt">tsunami</span> impact' studies, few engineering tools are available to assess the onshore impacts of <span class="hlt">tsunami</span>, with no agreed methods available to predict loadings on coastal defences, buildings or related infrastructure. Most previous impact studies have relied upon unrealistic waveforms (solitary or dam-break waves and bores) rather than full-duration <span class="hlt">tsunami</span> waves, or have used simplified models of nearshore and over-land flows. Over the last 10+ years, pneumatic <span class="hlt">Tsunami</span> Simulators for the hydraulic laboratory have been developed into an exciting and versatile technology, allowing the forces of real-world <span class="hlt">tsunami</span> to be reproduced and measured in a laboratory environment for the first time. These devices have been used to model generic elevated and N-wave <span class="hlt">tsunamis</span> up to and over simple shorelines, and at example coastal defences and infrastructure. They have also reproduced full-duration <span class="hlt">tsunamis</span> including Mercator 2004 and Tohoku 2011, both at 1:50 scale. Engineering scale models of these <span class="hlt">tsunamis</span> have measured wave run-up on simple slopes, forces on idealised sea defences, pressures / forces on buildings, and scour at idealised buildings. This presentation will describe how these <span class="hlt">Tsunami</span> Simulators work, demonstrate how they have generated <span class="hlt">tsunami</span> waves longer than the facilities within which they operate, and will present research results from three generations of <span class="hlt">Tsunami</span> Simulators. Highlights of direct importance to natural hazard modellers and coastal engineers include measurements of wave run-up levels, forces on single and multiple buildings and comparison with previous theoretical predictions. Multiple buildings have two malign effects. The density of buildings to flow area (blockage ratio) increases water depths and flow velocities in the 'streets'. But the increased building densities themselves also increase the cost of flow per unit area (both personal and monetary). The most recent study with the <span class="hlt">Tsunami</span></p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017EGUGA..1910542K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017EGUGA..1910542K"><span><span class="hlt">Tsunami</span> mitigation - redistribution of energy</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Kadri, Usama</p> <p>2017-04-01</p> <p><span class="hlt">Tsunamis</span> are water waves caused by the displacement of a large volume of water, in the deep ocean or a large lake, following an earthquake, landslide, underwater explosion, meteorite impacts, or other violent geological events. On the coastline, the resulting waves evolve from unnoticeable to devastating, reaching heights of tens of meters and causing destruction of property and loss of life. Over 225,000 people were killed in the 2004 Indian Ocean <span class="hlt">tsunami</span> alone. For many decades, scientists have been studying <span class="hlt">tsunami</span>, and progress has been widely reported in connection with the causes (1), forecasting (2), and recovery (3). However, none of the studies ratifies the approach of a direct mitigation of <span class="hlt">tsunamis</span>, with the exception of mitigation using submarine barriers (e.g. see Ref. (4)). In an attempt to open a discussion on direct mitigation, I examine the feasibility of redistributing the total energy of a very long surface ocean (gravity) wave over a larger space through nonlinear resonant interaction with two finely tuned acoustic-gravity waves (see Refs. (5-8)). Theoretically, while the energy input in the acoustic-gravity waves required for an effective interaction is comparable to that in a <span class="hlt">tsunami</span> (i.e. impractically large), employing the proposed mitigation technique the initial <span class="hlt">tsunami</span> amplitude could be reduced substantially resulting in a much milder impact at the coastline. Moreover, such a technique would allow for the harnessing of the <span class="hlt">tsunami</span>'s own energy. Practically, this mitigation technique requires the design of highly accurate acoustic-gravity wave frequency transmitters or modulators, which is a rather challenging ongoing engineering problem. References 1. E. Bryant, 2014. <span class="hlt">Tsunami</span>: the underrated hazard. Springer, doi:10.1007/978-3-319- 06133-7. 2. V. V. Titov, F. I. Gonza`lez, E. N. Bernard, M. C. Eble, H. O. Mofjeld, J. C. Newman, A. J. Venturato, 2005. Real-Time <span class="hlt">Tsunami</span> Forecasting: Challenges and Solutions. Nat. Hazards 35:41-58, doi:10</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2010EGUGA..12.8108T','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2010EGUGA..12.8108T"><span><span class="hlt">Tsunami</span> Early Warning System in Italy and involvement of local communities</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Tinti, Stefano; Armigliato, Alberto; Zaniboni, Filippo</p> <p>2010-05-01</p> <p>Italy is characterized by a great coastal extension, and by a series of possible tsunamigenic sources: many active faults, onshore and offshore, also near the shoreline and in shallow water, active volcanoes (Etna, Stromboli, Campi Flegrei for example), continental margins where landslides can occur. All these threats justify the establishment of a <span class="hlt">tsunami</span> early warning system (TEWS), especially in Southern Italy where most of the sources capable of large disastrous <span class="hlt">tsunamis</span> are located. One of the main characteristics of such sources, that however is common to other countries in not only in the Mediterranean, is their vicinity to the coast, which means that the <span class="hlt">tsunami</span> lead time for attacking the coastal system is expected to be within 10-15 minutes in several cases. This constraint of time imposes to conceive and adopt specific plans aiming at a quick <span class="hlt">tsunami</span> detection and alert dissemination for the TEWS, since obviously the TEWS alert must precede and not follow the <span class="hlt">tsunami</span> first arrival. The need to be quick introduces the specific problem of uncertainty that is though inherent to any forecast system, but it is a very big <span class="hlt">issue</span> especially when time available is short, since crucial decisions have to be taken in presence of incomplete data and incomplete processing. This is just the big problem that has to be faced by a system like the a TEWS in Italy. Uncertainties can be reduced by increasing the capabilities of the <span class="hlt">tsunami</span> monitoring system by densifying the traditional instrumental networks (e.g. by empowering seismic and especially coastal and offshore sea-level observation systems) in the identified tsunamigenic source areas. However, uncertainties, though are expected to have a decreasing trend as time passes after the <span class="hlt">tsunami</span> initiation, cannot be eliminated and have to be appropriately dealt with: uncertainties lead to under- and overestimation of the <span class="hlt">tsunami</span> size and arrival times, and to missing or to false alerts, or in other terms they degrade the</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014EGUGA..1611137L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014EGUGA..1611137L"><span><span class="hlt">Tsunami</span> Ionospheric warning and Ionospheric seismology</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Lognonne, Philippe; Rolland, Lucie; Rakoto, Virgile; Coisson, Pierdavide; Occhipinti, Giovanni; Larmat, Carene; Walwer, Damien; Astafyeva, Elvira; Hebert, Helene; Okal, Emile; Makela, Jonathan</p> <p>2014-05-01</p> <p>The last decade demonstrated that seismic waves and <span class="hlt">tsunamis</span> are coupled to the ionosphere. Observations of Total Electron Content (TEC) and airglow perturbations of unique quality and amplitude were made during the Tohoku, 2011 giant Japan quake, and observations of much lower <span class="hlt">tsunamis</span> down to a few cm in sea uplift are now routinely done, including for the Kuril 2006, Samoa 2009, Chili 2010, Haida Gwai 2012 <span class="hlt">tsunamis</span>. This new branch of seismology is now mature enough to tackle the new challenge associated to the inversion of these data, with either the goal to provide from these data maps or profile of the earth surface vertical displacement (and therefore crucial information for <span class="hlt">tsunami</span> warning system) or inversion, with ground and ionospheric data set, of the various parameters (atmospheric sound speed, viscosity, collision frequencies) controlling the coupling between the surface, lower atmosphere and the ionosphere. We first present the state of the art in the modeling of the <span class="hlt">tsunami</span>-atmospheric coupling, including in terms of slight perturbation in the <span class="hlt">tsunami</span> phase and group velocity and dependance of the coupling strength with local time, ocean depth and season. We then show the confrontation of modelled signals with observations. For <span class="hlt">tsunami</span>, this is made with the different type of measurement having proven ionospheric <span class="hlt">tsunami</span> detection over the last 5 years (ground and space GPS, Airglow), while we focus on GPS and GOCE observation for seismic waves. These observation systems allowed to track the propagation of the signal from the ground (with GPS and seismometers) to the neutral atmosphere (with infrasound sensors and GOCE drag measurement) to the ionosphere (with GPS TEC and airglow among other ionospheric sounding techniques). Modelling with different techniques (normal modes, spectral element methods, finite differences) are used and shown. While the fits of the waveform are generally very good, we analyse the differences and draw direction of future</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=4233330','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=4233330"><span>Machine-learning techniques for geochemical discrimination of 2011 Tohoku <span class="hlt">tsunami</span> deposits</span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Kuwatani, Tatsu; Nagata, Kenji; Okada, Masato; Watanabe, Takahiro; Ogawa, Yasumasa; Komai, Takeshi; Tsuchiya, Noriyoshi</p> <p>2014-01-01</p> <p>Geochemical discrimination has recently been recognised as a potentially useful proxy for identifying <span class="hlt">tsunami</span> deposits in addition to classical proxies such as sedimentological and micropalaeontological evidence. However, difficulties remain because it is unclear which elements best discriminate between <span class="hlt">tsunami</span> and non-<span class="hlt">tsunami</span> deposits. Herein, we propose a mathematical methodology for the geochemical discrimination of <span class="hlt">tsunami</span> deposits using machine-learning techniques. The proposed method can determine the appropriate combinations of elements and the precise discrimination plane that best discerns <span class="hlt">tsunami</span> deposits from non-<span class="hlt">tsunami</span> deposits in high-dimensional compositional space through the use of data sets of bulk composition that have been categorised as <span class="hlt">tsunami</span> or non-<span class="hlt">tsunami</span> sediments. We applied this method to the 2011 Tohoku <span class="hlt">tsunami</span> and to background marine sedimentary rocks. After an exhaustive search of all 262,144 (= 218) combinations of the 18 analysed elements, we observed several tens of combinations with discrimination rates higher than 99.0%. The analytical results show that elements such as Ca and several heavy-metal elements are important for discriminating <span class="hlt">tsunami</span> deposits from marine sedimentary rocks. These elements are considered to reflect the formation mechanism and origin of the <span class="hlt">tsunami</span> deposits. The proposed methodology has the potential to aid in the identification of past <span class="hlt">tsunamis</span> by using other <span class="hlt">tsunami</span> proxies. PMID:25399750</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.usgs.gov/of/2013/1170/e/pdf/of2013-1170e.pdf','USGSPUBS'); return false;" href="https://pubs.usgs.gov/of/2013/1170/e/pdf/of2013-1170e.pdf"><span>The SAFRR <span class="hlt">tsunami</span> scenario-physical damage in California: Chapter E in The SAFRR (Science Application for Risk Reduction) <span class="hlt">Tsunami</span> Scenario</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Porter, Keith; Byers, William; Dykstra, David; Lim, Amy; Lynett, Patrick; Ratliff, Jaime; Scawthorn, Charles; Wein, Anne; Wilson, Rick</p> <p>2013-01-01</p> <p>his chapter attempts to depict a single realistic outcome of the SAFRR (Science Application for Risk Reduction) <span class="hlt">tsunami</span> scenario in terms of physical damage to and recovery of various aspects of the built environment in California. As described elsewhere in this report, the <span class="hlt">tsunami</span> is generated by a hypothetical magnitude 9.1 earthquake seaward of the Alaska Peninsula on the Semidi Sector of the Alaska–Aleutian Subduction Zone, 495 miles southwest of Anchorage, at 11:50 a.m. Pacific Daylight Time (PDT) on Thursday March 27, 2014, and arriving at the California coast between 4:00 and 5:40 p.m. (depending on location) the same day. Although other <span class="hlt">tsunamis</span> could have locally greater impact, this source represents a substantial threat to the state as a whole. One purpose of this chapter is to help operators and users of coastal assets throughout California to develop emergency plans to respond to a real <span class="hlt">tsunami</span>. Another is to identify ways that operators or owners of these assets can think through options for reducing damage before a future <span class="hlt">tsunami</span>. A third is to inform the economic analyses for the SAFRR <span class="hlt">tsunami</span> scenario. And a fourth is to identify research needs to better understand the possible consequences of a <span class="hlt">tsunami</span> on these assets. The asset classes considered here include the following: Piers, cargo, buildings, and other assets at the Ports of Los Angeles and Long Beach Large vessels in the Ports of Los Angeles and Long Beach Marinas and small craft Coastal buildings Roads and roadway bridges Rail, railway bridges, and rolling stock Agriculture Fire following <span class="hlt">tsunami</span> Each asset class is examined in a subsection of this chapter. In each subsection, we generally attempt to offer a historical review of damage. We characterize and quantify the assets exposed to loss and describe the modes of damage that have been observed in past <span class="hlt">tsunamis</span> or are otherwise deemed likely to occur in the SAFRR <span class="hlt">tsunami</span> scenario. Where practical, we offer a mathematical model of the</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013AGUFMNH41A1698T','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013AGUFMNH41A1698T"><span>Simulations of <span class="hlt">Tsunami</span> Triggered by the 1883 Krakatau Volcanic Eruption: Implications for <span class="hlt">Tsunami</span> Hazard in the South China Sea</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Tan, Y.; Lin, J.</p> <p>2013-12-01</p> <p>The 1883 Krakatau eruption in Indonesia is one of the largest recorded volcanic eruptions in recent history. The associated <span class="hlt">tsunami</span> claimed about 36,000 lives and recorded run-up heights up to 30 m along the coastal regions in the Sunda Straits between the Indian Ocean and the South China Sea. Our study aims to better understand the generation and propagation mechanisms of this volcano-induced <span class="hlt">tsunami</span> through modeling quantitatively the <span class="hlt">tsunami</span> triggering processes at the source region. Comparison of non-linear simulations using the Cornell Multi-grid Coupled <span class="hlt">Tsunami</span> Model (COMCOT) with observations reveals that a donut-shape 'hole and ring' initial condition for the <span class="hlt">tsunami</span> source is able to explain the key characteristics of the observed <span class="hlt">tsunami</span>: A 'hole' of about 6 km in diameter and 270 m in depth corresponds to the collapse of the Krakatau volcano on August 27, 1883, while a 'ring' of uplift corresponds to the deposition of the erupted volcanic materials. We found that the shallowness and narrowness of the entrance pathway of the Sunda Straits limited the northward transfer of the <span class="hlt">tsunami</span> energy from the source region into the South China Sea. Instead, the topographic and bathymetric characteristics favored the southward transfer of the energy into the Indian Ocean. This might explain why Sri Lanka and India suffered casualties from this event, while areas inside the South China Sea, such as Singapore, did not record significant <span class="hlt">tsunami</span> signals. Modeling results further suggest that the shallow topography of the surrounding islands around the Krakatau source region might have contributed to a reduction in maximum run-up heights in the coastal regions of the Sunda Straits.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013EGUGA..15.7776B','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013EGUGA..15.7776B"><span>Advanced Simulation of Coupled Earthquake and <span class="hlt">Tsunami</span> Events</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Behrens, Joern</p> <p>2013-04-01</p> <p><span class="hlt">Tsunami</span>-Earthquakes represent natural catastrophes threatening lives and well-being of societies in a solitary and unexpected extreme event as tragically demonstrated in Sumatra (2004), Samoa (2009), Chile (2010), or Japan (2011). Both phenomena are consequences of the complex system of interactions of tectonic stress, fracture mechanics, rock friction, rupture dynamics, fault geometry, ocean bathymetry, and coastline geometry. The ASCETE project forms an interdisciplinary research consortium that couples the most advanced simulation technologies for earthquake rupture dynamics and <span class="hlt">tsunami</span> propagation to understand the fundamental conditions of <span class="hlt">tsunami</span> generation. We report on the latest research results in physics-based dynamic rupture and <span class="hlt">tsunami</span> wave propagation simulation, using unstructured and adaptive meshes with continuous and discontinuous Galerkin discretization approaches. Coupling both simulation tools - the physics-based dynamic rupture simulation and the hydrodynamic <span class="hlt">tsunami</span> wave propagation - will give us the possibility to conduct highly realistic studies of the interaction of rupture dynamics and <span class="hlt">tsunami</span> impact characteristics.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.er.usgs.gov/publication/70025111','USGSPUBS'); return false;" href="https://pubs.er.usgs.gov/publication/70025111"><span>Theoretical analysis of <span class="hlt">tsunami</span> generation by pyroclastic flows</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Watts, P.; Waythomas, C.F.</p> <p>2003-01-01</p> <p>Pyroclastic flows are a common product of explosive volcanism and have the potential to initiate <span class="hlt">tsunamis</span> whenever thick, dense flows encounter bodies of water. We evaluate the process of <span class="hlt">tsunami</span> generation by pyroclastic flow by decomposing the pyroclastic flow into two components, the dense underflow portion, which we term the pyroclastic debris flow, and the plume, which includes the surge and coignimbrite ash cloud parts of the flow. We consider five possible wave generation mechanisms. These mechanisms consist of steam explosion, pyroclastic debris flow, plume pressure, plume shear, and pressure impulse wave generation. Our theoretical analysis of <span class="hlt">tsunami</span> generation by these mechanisms provides an estimate of <span class="hlt">tsunami</span> features such as a characteristic wave amplitude and wavelength. We find that in most situations, <span class="hlt">tsunami</span> generation is dominated by the pyroclastic debris flow component of a pyroclastic flow. This work presents information sufficient to construct <span class="hlt">tsunami</span> sources for an arbitrary pyroclastic flow interacting with most bodies of water. Copyright 2003 by the American Geophysical Union.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2001AGUFM.S52A0617D','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2001AGUFM.S52A0617D"><span>Impacts of the June 23, 2001 Peru <span class="hlt">Tsunami</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Dengler, L.</p> <p>2001-12-01</p> <p>The <span class="hlt">tsunami</span> generated by the June 23, 2001 Peru earthquake caused significant damage to a 20-km long stretch of coastline in the Municipality of Camana, southern Peru. Over 3000 structures were damaged or destroyed and 2000 hectares of farmland flooded and covered with sand. 22 people were killed in the Municipality and 62 were reported missing. All of the casualties were attributed to the <span class="hlt">tsunami</span>; in Camana the earthquake produced Modified Mercalli Intensities only of VI or VII. The International <span class="hlt">Tsunami</span> Survey Team (ITST) were in Peru July 5 - 15 and measured inundation, spoke with City, Red Cross, and Health Department officials, and interviewed survivors. The preliminary ITST findings: All eyewitnesses described an initial draw-down that lasted a substantial amount of time (15 minutes or more). The initial positive wave was small, followed by two destructive waves of near similar impact. Observing the water recede was the key to self-evacuation. No one responded to the ground shaking even though all felt the earthquake strongly. Damage was concentrated along a flat coastal beach no higher than 5 m above sea level. The largest waves (5 to 8 meters) produced by this <span class="hlt">tsunami</span> coincided with the most developed beach area along the southern Peruvian coast. <span class="hlt">Tsunami</span> waves penetrated 1.2-km inland and damaged or destroyed nearly all of the structures in this zone. Poorly built adobe and infilled wall structures performed very poorly in the <span class="hlt">tsunami</span> impacted area. The few structures that survived appeared to have deeper foundations and more reinforcing. The most <span class="hlt">tsunami</span>-vulnerable populations were newcomers to the coast. Most victims were farm workers and domestic summerhouse sitters who had not grown up along the coast and were unaware of <span class="hlt">tsunami</span> hazards. Economic impacts are likely to last a long time. The main industries in Camana are tourism and agriculture and the <span class="hlt">tsunami</span> damaged both. While the extent of inundation and the number of structures damaged or destroyed</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/26392623','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/26392623"><span>Response to the 2011 Great East Japan Earthquake and <span class="hlt">Tsunami</span> disaster.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Koshimura, Shunichi; Shuto, Nobuo</p> <p>2015-10-28</p> <p>We revisited the lessons of the 2011 Great East Japan Earthquake <span class="hlt">Tsunami</span> disaster specifically on the response and impact, and discussed the paradigm shift of Japan's <span class="hlt">tsunami</span> disaster management policies and the perspectives for reconstruction. Revisiting the modern histories of Tohoku <span class="hlt">tsunami</span> disasters and pre-2011 <span class="hlt">tsunami</span> countermeasures, we clarified how Japan's coastal communities have prepared for <span class="hlt">tsunamis</span>. The discussion mainly focuses on structural measures such as seawalls and breakwaters and non-structural measures of hazard map and evacuation. The responses to the 2011 event are discussed specifically on the <span class="hlt">tsunami</span> warning system and efforts to identify the <span class="hlt">tsunami</span> impacts. The nation-wide post-<span class="hlt">tsunami</span> survey results shed light on the mechanisms of structural destruction, <span class="hlt">tsunami</span> loads and structural vulnerability to inform structural rehabilitation measures and land-use planning. Remarkable paradigm shifts in designing coastal protection and disaster mitigation measures were introduced, leading with a new concept of potential <span class="hlt">tsunami</span> levels: Prevention (Level 1) and Mitigation (Level 2) levels according to the level of 'protection'. The seawall is designed with reference to Level 1 <span class="hlt">tsunami</span> scenario, while comprehensive disaster management measures should refer to Level 2 <span class="hlt">tsunami</span> for protection of human lives and reducing potential losses and damage. Throughout the case study in Sendai city, the proposed reconstruction plan was evaluated from the <span class="hlt">tsunami</span> engineering point of view to discuss how the post 2011 paradigm was implemented in coastal communities for future disaster mitigation. The analysis revealed that Sendai city's multiple protection measures for Level 2 <span class="hlt">tsunami</span> will contribute to a substantial reduction of the <span class="hlt">tsunami</span> inundation zone and potential losses, combined with an effective <span class="hlt">tsunami</span> evacuation plan. © 2015 The Author(s).</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2009Geomo.104...59P','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2009Geomo.104...59P"><span><span class="hlt">Tsunamis</span> as geomorphic crises: Lessons from the December 26, 2004 <span class="hlt">tsunami</span> in Lhok Nga, West Banda Aceh (Sumatra, Indonesia)</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Paris, Raphaël; Wassmer, Patrick; Sartohadi, Junun; Lavigne, Franck; Barthomeuf, Benjamin; Desgages, Emilie; Grancher, Delphine; Baumert, Philippe; Vautier, Franck; Brunstein, Daniel; Gomez, Christopher</p> <p>2009-03-01</p> <p>Large <span class="hlt">tsunamis</span> are major geomorphic crises, since they imply extensive erosion, sediment transport and deposition in a few minutes and over hundreds of kilometres of coast. Nevertheless, little is known about their geomorphologic imprints. The December 26, 2004 <span class="hlt">tsunami</span> in Sumatra (Indonesia) was one of the largest and deadliest <span class="hlt">tsunamis</span> in recorded human history. We present a description of the coastal erosion and boulder deposition induced by the 2004 <span class="hlt">tsunami</span> in the Lhok Nga Bay, located to the West of Banda Aceh (northwest Sumatra). The geomorphological impact of the <span class="hlt">tsunami</span> is evidenced by: beach erosion (some beaches have almost disappeared); destruction of sand barriers protecting the lagoons or at river mouths; numerous erosion escarpments typically in the order of 0.5-1.5 m when capped by soil and more than 2 m in dunes; bank erosion in the river beds (the retreat along the main river is in the order of 5-15 m, with local retreats exceeding 30 m); large scars typically 20-50 cm deep on slopes; dislodgement of blocks along fractures and structural ramps on cliffs. The upper limit of erosion appears as a continuous trimline at 20-30 m a.s.l., locally reaching 50 m. The erosional imprints of the <span class="hlt">tsunami</span> extend to 500 m from the shoreline and exceed 2 km along riverbeds. The overall coastal retreat from Lampuuk to Leupung was 60 m (550,000 m 2) and locally exceeded 150 m. Over 276,000 m 3 of coastal sediments were eroded by the <span class="hlt">tsunami</span> along the 9.2 km of sandy coast. The mean erosion rate of the beaches was ~ 30 m 3/m of coast and locally exceeded 80 m 3/m. The most eroded coasts were tangent to the <span class="hlt">tsunami</span> wave train, which was coming from the southwest. The fringing reefs were not efficient in reducing the erosional impact of the <span class="hlt">tsunami</span>. The 220 boulders measured range from 0.3 to 7.2 m large (typically 0.7-1.5 m), with weights from over 50 kg up to 85 t. We found one boulder, less than 1 m large, at 1 km from the coastline, but all the others were</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2009AGUFM.U23F..05L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2009AGUFM.U23F..05L"><span>Regional Impact of the 29 September 2009 North Tonga <span class="hlt">Tsunami</span> on the Futuna and Alofi Islands (Wallis & Futuna)</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Lamarche, G.; Pelletier, B.; Goff, J. R.</p> <p>2009-12-01</p> <p>The north Tonga earthquake occurred at 5:48am on 30 September local time in Futuna, ~650 km west of the epicentre. The PTWC <span class="hlt">issued</span> a warning at 6:04am for <span class="hlt">tsunami</span> arrival in Wallis (Wallis & Futuna) at 6.35am. No warning was <span class="hlt">issued</span> by the territorial authorities for Wallis nor for Futuna, located 230 km to the south-west. There was no reported <span class="hlt">tsunami</span> on Wallis. However a <span class="hlt">tsunami</span> hit the archipelago of Futuna (islands of Futuna and Alofi) between 7.00 and 7.20am on 30 September. The tide was approximately 3/4 out. We took advantage of an 8 days survey funded by the French Ministry of Foreign Affairs, previously planned for investigating palaeotsunamis on Futuna and Alofi. We measured run-up and inundation from the mid- to low-tide mark, as well as flow depths, and sediments associated with the 30 September <span class="hlt">tsunami</span> at 41 sites around the islands. Run-ups were estimated based on visual evidence of recent coastal impact - burnt grasses and plants, sand and other displaced debris (e.g., on the road). We interviewed the population on multiple occasions. The maximum run-up of 4.5 m was observed on the eastern beach of Alofitai in Alofi, associated with an inundation of 85 m and a flow depth of 3m at the coast. On Futuna, we measured maximum run-ups of 4.4 m on the eastern tip and 4.3 m on the NW tip of the island, with maximum inundations of 95 and 72m, respectively. A flow depth of 2 m was inferred on the NE tip. Overall, the <span class="hlt">tsunami</span> impact was more severe on the northern coast of Futuna, with run-ups ranging from 2.1 to 4.3 m. Very small run-ups and inundations were observed along the southern coast, with a 1.0 m run-up and 10 m inundation measured in Léava, the capital of Futuna. Most witnesses report two main waves equivalent in amplitude, the second one being sometimes described as the largest. All witnesses indicate that the sea withdrew first. A video suggests only a few minutes between the successive waves (likely not the first) in Léava. The video shows the</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2009AGUFM.U21E2184W','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2009AGUFM.U21E2184W"><span>Role of State <span class="hlt">Tsunami</span> Geoscientists during Emergency Response Activities: Example from the State of California (USA) during September 29, 2009, Samoa <span class="hlt">Tsunami</span> Event</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Wilson, R. I.; Dengler, L. A.; Goltz, J. D.; Legg, M.; Miller, K. M.; Parrish, J. G.; Whitmore, P.</p> <p>2009-12-01</p> <p>California <span class="hlt">tsunami</span> geoscientists work closely with federal, state and local government emergency managers to help prepare coastal communities for potential impacts from a <span class="hlt">tsunami</span> before, during, and after an event. For teletsunamis, as scientific information (forecast model wave heights, first-wave arrival times, etc.) from NOAA’s West Coast and Alaska’s <span class="hlt">Tsunami</span> Warning Center is made available, state-level emergency managers must help convey this information in a concise and comprehendible manner to local officials who ultimately determine the appropriate response activities for their jurisdictions. During the Samoa <span class="hlt">Tsunami</span> Advisory for California on September 29, 2009, geoscientists from the California Geological Survey and Humboldt State University assisted the California Emergency Management Agency in this information transfer by providing technical assistance during teleconference meetings with NOAA and other state and local emergency managers prior to the arrival of the <span class="hlt">tsunami</span>. State geoscientists gathered additional background information on anticipated tidal conditions and wave heights for areas not covered by NOAA’s forecast models. The participation of the state geoscientists in the emergency response process resulted in clarifying which regions were potentially at-risk, as well as those having a low risk from the <span class="hlt">tsunami</span>. Future <span class="hlt">tsunami</span> response activities for state geoscientists include: 1) working closely with NOAA to simplify their <span class="hlt">tsunami</span> alert messaging and expand their forecast modeling coverage, 2) creation of “playbooks” containing information from existing <span class="hlt">tsunami</span> scenarios for local emergency managers to reference during an event, and 3) development of a state-level information “clearinghouse” and pre-<span class="hlt">tsunami</span> field response team to assist local officials as well as observe and report <span class="hlt">tsunami</span> effects.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.er.usgs.gov/publication/70036889','USGSPUBS'); return false;" href="https://pubs.er.usgs.gov/publication/70036889"><span>Hydrodynamic modeling of <span class="hlt">tsunamis</span> from the Currituck landslide</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Geist, E.L.; Lynett, P.J.; Chaytor, J.D.</p> <p>2009-01-01</p> <p><span class="hlt">Tsunami</span> generation from the Currituck landslide offshore North Carolina and propagation of waves toward the U.S. coastline are modeled based on recent geotechnical analysis of slide movement. A long and intermediate wave modeling package (COULWAVE) based on the non-linear Boussinesq equations are used to simulate the <span class="hlt">tsunami</span>. This model includes procedures to incorporate bottom friction, wave breaking, and overland flow during runup. Potential <span class="hlt">tsunamis</span> generated from the Currituck landslide are analyzed using four approaches: (1) <span class="hlt">tsunami</span> wave history is calculated from several different scenarios indicated by geotechnical stability and mobility analyses; (2) a sensitivity analysis is conducted to determine the effects of both landslide failure duration during generation and bottom friction along the continental shelf during propagation; (3) wave history is calculated over a regional area to determine the propagation of energy oblique to the slide axis; and (4) a high-resolution 1D model is developed to accurately model wave breaking and the combined influence of nonlinearity and dispersion during nearshore propagation and runup. The primary source parameter that affects <span class="hlt">tsunami</span> severity for this case study is landslide volume, with failure duration having a secondary influence. Bottom friction during propagation across the continental shelf has a strong influence on the attenuation of the <span class="hlt">tsunami</span> during propagation. The high-resolution 1D model also indicates that the <span class="hlt">tsunami</span> undergoes nonlinear fission prior to wave breaking, generating independent, short-period waves. Wave breaking occurs approximately 40-50??km offshore where a <span class="hlt">tsunami</span> bore is formed that persists during runup. These analyses illustrate the complex nature of landslide <span class="hlt">tsunamis</span>, necessitating the use of detailed landslide stability/mobility models and higher-order hydrodynamic models to determine their hazard.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2012AGUFMOS33B1820S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2012AGUFMOS33B1820S"><span>Sedimentary Record and Morphological Effects of a Landslide-Generated <span class="hlt">Tsunami</span> in a Polar Region: The 2000 AD <span class="hlt">Tsunami</span> in Vaigat Strait, West Greenland</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Szczucinski, W.; Rosser, N. J.; Strzelecki, M. C.; Long, A. J.; Lawrence, T.; Buchwal, A.; Chague-Goff, C.; Woodroffe, S.</p> <p>2012-12-01</p> <p>To date, the effects of <span class="hlt">tsunami</span> erosion and deposition have mainly been reported from tropical and temperate climatic zones yet <span class="hlt">tsunamis</span> are also frequent in polar zones, particularly in fjord settings where they can be generated by landslides. Here we report the geological effects of a landslide-triggered <span class="hlt">tsunami</span> that occurred on 21st November 2000 in Vaigat, northern Disko Bugt in west Greenland. To characterise the typical features of this <span class="hlt">tsunami</span> we completed twelve detailed coastal transects in a range of depositional settings: cliff coasts, narrow to moderate width coastal plains, lagoons and a coastal lake. At each setting we completed a detailed map using a laser scanner and DGPS survey. The <span class="hlt">tsunami</span> deposits were described from closely spaced trenches and, from the lake, by a series of sediment cores . At each setting we examined the sedimentological properties of the deposits, as well as their bulk geochemistry and diatom content. Selected specimens of arctic willow from inundated and non-inundated areas were collected to assess the impact of the event in their growth ring records. Samples of sediments beneath the AD 2000 deposit were studied for 137Cs to confirm the age of the <span class="hlt">tsunami</span> and to assess the extent of erosion. Offshore sediment samples, modern beach and soils/sediments underlying the AD 2000 <span class="hlt">tsunami</span> deposits were sampled to determine <span class="hlt">tsunami</span> deposit sources. The observed <span class="hlt">tsunami</span> run-up exceeded 20 m next to the <span class="hlt">tsunami</span> trigger - a rock avalanche at Paatuut - and up to 10 m on the opposite coast of the fjord. The inland inundation distance ranged from several tens of meters to over 300 m. The wave was recorded as far as 180 km away from the source. The <span class="hlt">tsunami</span> inundated the coast obliquely to the shoreline in all locations studied. The <span class="hlt">tsunami</span> frequently caused erosion of existing beach ridges whilst erosional niches were formed inland. The <span class="hlt">tsunami</span> deposits mainly comprise gravels and very coarse sand. They are over 30 cm thick close to the</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_15");'>15</a></li> <li><a href="#" onclick='return showDiv("page_16");'>16</a></li> <li class="active"><span>17</span></li> <li><a href="#" onclick='return showDiv("page_18");'>18</a></li> <li><a href="#" onclick='return showDiv("page_19");'>19</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_17 --> <div id="page_18" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_16");'>16</a></li> <li><a href="#" onclick='return showDiv("page_17");'>17</a></li> <li class="active"><span>18</span></li> <li><a href="#" onclick='return showDiv("page_19");'>19</a></li> <li><a href="#" onclick='return showDiv("page_20");'>20</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="341"> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017PApGe.tmp..437G','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017PApGe.tmp..437G"><span>Coastal Amplification Laws for the French <span class="hlt">Tsunami</span> Warning Center: Numerical Modeling and Fast Estimate of <span class="hlt">Tsunami</span> Wave Heights Along the French Riviera</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Gailler, A.; Hébert, H.; Schindelé, F.; Reymond, D.</p> <p>2017-11-01</p> <p><span class="hlt">Tsunami</span> modeling tools in the French <span class="hlt">tsunami</span> Warning Center operational context provide rapidly derived warning levels with a dimensionless variable at basin scale. A new forecast method based on coastal amplification laws has been tested to estimate the <span class="hlt">tsunami</span> onshore height, with a focus on the French Riviera test-site (Nice area). This fast prediction tool provides a coastal <span class="hlt">tsunami</span> height distribution, calculated from the numerical simulation of the deep ocean <span class="hlt">tsunami</span> amplitude and using a transfer function derived from the Green's law. Due to a lack of <span class="hlt">tsunami</span> observations in the western Mediterranean basin, coastal amplification parameters are here defined regarding high resolution nested grids simulations. The preliminary results for the Nice test site on the basis of nine historical and synthetic sources show a good agreement with the time-consuming high resolution modeling: the linear approximation is obtained within 1 min in general and provides estimates within a factor of two in amplitude, although the resonance effects in harbors and bays are not reproduced. In Nice harbor especially, variation in <span class="hlt">tsunami</span> amplitude is something that cannot be really assessed because of the magnitude range and maximum energy azimuth of possible events to account for. However, this method is well suited for a fast first estimate of the coastal <span class="hlt">tsunami</span> threat forecast.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFMNH23A0198G','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFMNH23A0198G"><span>Coastal amplification laws for the French <span class="hlt">tsunami</span> Warning Center: numerical modeling and fast estimate of <span class="hlt">tsunami</span> wave heights along the French Riviera</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Gailler, A.; Schindelé, F.; Hebert, H.; Reymond, D.</p> <p>2017-12-01</p> <p><span class="hlt">Tsunami</span> modeling tools in the French <span class="hlt">tsunami</span> Warning Center operational context provide for now warning levels with a no dimension scale, and at basin scale. A new forecast method based on coastal amplification laws has been tested to estimate the <span class="hlt">tsunami</span> onshore height, with a focus on the French Riviera test-site (Nice area). This fast prediction tool provides a coastal <span class="hlt">tsunami</span> height distribution, calculated from the numerical simulation of the deep ocean <span class="hlt">tsunami</span> amplitude and using a transfer function derived from the Green's law. Due to a lack of <span class="hlt">tsunami</span> observation in the western Mediterranean basin, coastal amplification parameters are here defined regarding high resolution nested grids simulations. The first encouraging results for the Nice test site on the basis of 9 historical and fake sources show a good agreement with the time-consuming high resolution modeling: the linear approximation provides within in general 1 minute estimates less a factor of 2 in amplitude, although the resonance effects in harbors and bays are not reproduced. In Nice harbor especially, variation in <span class="hlt">tsunami</span> amplitude is something that cannot be really appreciated because of the magnitude range and maximum energy azimuth of possible events to account for. However, this method suits well for a fast first estimate of the coastal <span class="hlt">tsunami</span> threat forecast.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018PApGe.175.1429G','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018PApGe.175.1429G"><span>Coastal Amplification Laws for the French <span class="hlt">Tsunami</span> Warning Center: Numerical Modeling and Fast Estimate of <span class="hlt">Tsunami</span> Wave Heights Along the French Riviera</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Gailler, A.; Hébert, H.; Schindelé, F.; Reymond, D.</p> <p>2018-04-01</p> <p><span class="hlt">Tsunami</span> modeling tools in the French <span class="hlt">tsunami</span> Warning Center operational context provide rapidly derived warning levels with a dimensionless variable at basin scale. A new forecast method based on coastal amplification laws has been tested to estimate the <span class="hlt">tsunami</span> onshore height, with a focus on the French Riviera test-site (Nice area). This fast prediction tool provides a coastal <span class="hlt">tsunami</span> height distribution, calculated from the numerical simulation of the deep ocean <span class="hlt">tsunami</span> amplitude and using a transfer function derived from the Green's law. Due to a lack of <span class="hlt">tsunami</span> observations in the western Mediterranean basin, coastal amplification parameters are here defined regarding high resolution nested grids simulations. The preliminary results for the Nice test site on the basis of nine historical and synthetic sources show a good agreement with the time-consuming high resolution modeling: the linear approximation is obtained within 1 min in general and provides estimates within a factor of two in amplitude, although the resonance effects in harbors and bays are not reproduced. In Nice harbor especially, variation in <span class="hlt">tsunami</span> amplitude is something that cannot be really assessed because of the magnitude range and maximum energy azimuth of possible events to account for. However, this method is well suited for a fast first estimate of the coastal <span class="hlt">tsunami</span> threat forecast.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://www.agu.org/pubs/crossref/2011/2010GL046498.shtml','USGSPUBS'); return false;" href="http://www.agu.org/pubs/crossref/2011/2010GL046498.shtml"><span>The 25 October 2010 Mentawai <span class="hlt">tsunami</span> earthquake, from real-time discriminants, finite-fault rupture, and <span class="hlt">tsunami</span> excitation</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Newman, Andrew V.; Hayes, Gavin P.; Wei, Yong; Convers, Jaime</p> <p>2011-01-01</p> <p>The moment magnitude 7.8 earthquake that struck offshore the Mentawai islands in western Indonesia on 25 October 2010 created a locally large <span class="hlt">tsunami</span> that caused more than 400 human causalities. We identify this earthquake as a rare slow-source <span class="hlt">tsunami</span> earthquake based on: 1) disproportionately large <span class="hlt">tsunami</span> waves; 2) excessive rupture duration near 125 s; 3) predominantly shallow, near-trench slip determined through finite-fault modeling; and 4) deficiencies in energy-to-moment and energy-to-duration-cubed ratios, the latter in near-real time. We detail the real-time solutions that identified the slow-nature of this event, and evaluate how regional reductions in crustal rigidity along the shallow trench as determined by reduced rupture velocity contributed to increased slip, causing the 5–9 m local <span class="hlt">tsunami</span> runup and observed transoceanic wave heights observed 1600 km to the southeast.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017EGUGA..19.8404Z','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017EGUGA..19.8404Z"><span>Assessment of a <span class="hlt">Tsunami</span> Hazard for Mediterranean Coast of Egypt</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Zaytsev, Andrey; Babeyko, Andrey; Yalciner, Ahmet; Pelinovsky, Efim</p> <p>2017-04-01</p> <p>Analysis of <span class="hlt">tsunami</span> hazard for Egypt based on historic data and numerical modelling of historic and prognostic events is given. There are 13 historic events for 4000 years, including one instrumental record (1956). <span class="hlt">Tsunami</span> database includes 12 earthquake <span class="hlt">tsunamis</span> and 1 event of volcanic origin (Santorini eruption). <span class="hlt">Tsunami</span> intensity of events (365, 881, 1303, 1870) is estimated as I = 3 led to <span class="hlt">tsunami</span> wave height more than 6 m. Numerical simulation of some possible scenario of <span class="hlt">tsunamis</span> of seismic and landslide origin is done with use of NAMI-DANCE software solved the shallow-water equations. The PTHA method (Probabilistic <span class="hlt">Tsunami</span> Hazard Assessment - Probabilistic assessment of a <span class="hlt">tsunami</span> hazard) for the Mediterranean Sea developed in (Sorensen M.B., Spada M., Babeyko A., Wiemer S., Grunthal G. Probabilistic <span class="hlt">tsunami</span> hazard in the Mediterranean Sea. J Geophysical Research, 2012, vol. 117, B01305) is used to evaluate the probability of <span class="hlt">tsunami</span> occurrence on the Egyptian coast. The synthetic catalogue of prognostic <span class="hlt">tsunamis</span> of seismic origin with magnitude more than 6.5 includes 84 920 events for 100000 years. For the wave heights more 1 m the curve: exceedance probability - <span class="hlt">tsunami</span> height can be approximated by exponential Gumbel function with two parameters which are determined for each coastal location in Egypt (totally. 24 points). Prognostic extreme highest events with probability less 10-4 are not satisfied to the Gumbel function (approximately 10 events) and required the special analysis. Acknowledgements: This work was supported EU FP7 ASTARTE Project [603839], and for EP - NS6637.2016.5.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AGUFM.U22A..02B','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AGUFM.U22A..02B"><span>Development of a GNSS-Enhanced <span class="hlt">Tsunami</span> Early Warning System</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Bawden, G. W.; Melbourne, T. I.; Bock, Y.; Song, Y. T.; Komjathy, A.</p> <p>2015-12-01</p> <p>The past decade has witnessed a terrible loss of life and economic disruption caused by large earthquakes and resultant <span class="hlt">tsunamis</span> impacting coastal communities and infrastructure across the Indo-Pacific region. NASA has funded the early development of a prototype real-time Global Navigation Satellite System (RT-GNSS) based rapid earthquake and <span class="hlt">tsunami</span> early warning (GNSS-TEW) system that may be used to enhance seismic <span class="hlt">tsunami</span> early warning systems for large earthquakes. This prototype GNSS-TEW system geodetically estimates fault parameters (earthquake magnitude, location, strike, dip, and slip magnitude/direction on a gridded fault plane both along strike and at depth) and <span class="hlt">tsunami</span> source parameters (seafloor displacement, <span class="hlt">tsunami</span> energy scale, and 3D <span class="hlt">tsunami</span> initials) within minutes after the mainshock based on dynamic numerical inversions/regressions of the real-time measured displacements within a spatially distributed real-time GNSS network(s) spanning the epicentral region. It is also possible to measure fluctuations in the ionosphere's total electron content (TEC) in the RT-GNSS data caused by the pressure wave from the <span class="hlt">tsunami</span>. This TEC approach can detect if a <span class="hlt">tsunami</span> has been triggered by an earthquake, track its waves as they propagate through the oceanic basins, and provide upwards of 45 minutes early warning. These combined real-time geodetic approaches will very quickly address a number of important questions in the immediate minutes following a major earthquake: How big was the earthquake and what are its fault parameters? Could the earthquake have produced a <span class="hlt">tsunami</span> and was a <span class="hlt">tsunami</span> generated?</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017EGUGA..1916804T','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017EGUGA..1916804T"><span>Power and Scour: Laboratory simulations of <span class="hlt">tsunami</span>-induced scour</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Todd, David; McGovern, David; Whitehouse, Richard; Harris, John; Rossetto, Tiziana</p> <p>2017-04-01</p> <p>The world's coastal regions are becoming increasingly urbanised and densely populated. Recent major <span class="hlt">tsunami</span> events in regions such as Samoa (2007), Indonesia (2004, 2006, 2010), and Japan (2011) have starkly highlighted this effect, resulting in catastrophic loss of both life and property, with much of the damage to buildings being reported in EEFIT mission reports following each of these events. The URBANWAVES project, led by UCL in collaboration with HR Wallingford, brings the power of the <span class="hlt">tsunami</span> to the laboratory for the first time. The Pneumatic <span class="hlt">Tsunami</span> Simulator is capable of tsimulating both idealised and real-world <span class="hlt">tsunami</span> traces at a scale of 1:50. Experiments undertaken in the Fast Flow Facility at HR Wallingford using square and rectangular buildings placed on a sediment bed have allow us to measure, for the first time under laboratory conditions, the variations in the flow field around buildings produced by <span class="hlt">tsunami</span> waves as a result of the scour process. The results of these tests are presented, providing insight into the process of scour development under different types of <span class="hlt">tsunami</span>, giving a glimpse into the power of <span class="hlt">tsunamis</span> that have already occurred, and helping us to inform the designs of future buildings so that we can be better prepared to analyse and design against these failure modes in the future. Additional supporting abstracts include Foster et al., on <span class="hlt">tsunami</span> induced building loads; Chandler et al., on the <span class="hlt">tsunami</span> simulation concept and McGovern et al., on the simulation of <span class="hlt">tsunami</span>-driven scour and flow fields.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFMNH22A..04S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFMNH22A..04S"><span>New Insights on <span class="hlt">Tsunami</span> Genesis and Energy Source</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Song, Y. T.; Mohtat, A.; Yim, S. C.</p> <p>2017-12-01</p> <p>Conventional <span class="hlt">tsunami</span> theories suggest that earthquakes with significant vertical motions are more likely to generate <span class="hlt">tsunamis</span>. In <span class="hlt">tsunami</span> models, the vertical seafloor elevation is directly transferred to the sea-surface as the only initial condition. However, evidence from the 2011 Tohoku earthquake indicates otherwise; the vertical seafloor uplift was only 3 5 meters, too small to account for the resultant <span class="hlt">tsunami</span>. Surprisingly, the horizontal displacement was undeniably larger than anyone's expectation; about 60 meters at the frontal wedge of the fault plate, the largest slip ever recorded by in-situ instruments. The question is whether the horizontal motion of seafloor slopes had enhanced the <span class="hlt">tsunami</span> to become as destructive as observed. In this study, we provide proof: (1) Combining various measurements from the 2011 Tohoku event, we show that the earthquake transferred a total energy of 3.1e+15 joule to the ocean, in which the potential energy (PE) due to the vertical seafloor elevation (including seafloor uplift/subsidence plus the contribution from the horizontal displacement) was less than a half, while the kinetic energy (KE) due to the horizontal displacement velocity of the continental slope contributed a majority portion; (2) Using two modern state-of-the-art wave flumes and a three-dimensional <span class="hlt">tsunami</span> model, we have reproduced the source energy and <span class="hlt">tsunamis</span> consistent with observations, including the 2004 Sumatra event. Based on the unified source energy formulation, we offer a competing theory to explain why some earthquakes generate destructive <span class="hlt">tsunamis</span>, while others do not.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017EP%26S...69..117L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017EP%26S...69..117L"><span>Should <span class="hlt">tsunami</span> simulations include a nonzero initial horizontal velocity?</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Lotto, Gabriel C.; Nava, Gabriel; Dunham, Eric M.</p> <p>2017-08-01</p> <p><span class="hlt">Tsunami</span> propagation in the open ocean is most commonly modeled by solving the shallow water wave equations. These equations require initial conditions on sea surface height and depth-averaged horizontal particle velocity or, equivalently, horizontal momentum. While most modelers assume that initial velocity is zero, Y.T. Song and collaborators have argued for nonzero initial velocity, claiming that horizontal displacement of a sloping seafloor imparts significant horizontal momentum to the ocean. They show examples in which this effect increases the resulting <span class="hlt">tsunami</span> height by a factor of two or more relative to models in which initial velocity is zero. We test this claim with a "full-physics" integrated dynamic rupture and <span class="hlt">tsunami</span> model that couples the elastic response of the Earth to the linearized acoustic-gravitational response of a compressible ocean with gravity; the model self-consistently accounts for seismic waves in the solid Earth, acoustic waves in the ocean, and <span class="hlt">tsunamis</span> (with dispersion at short wavelengths). Full-physics simulations of subduction zone megathrust ruptures and <span class="hlt">tsunamis</span> in geometries with a sloping seafloor confirm that substantial horizontal momentum is imparted to the ocean. However, almost all of that initial momentum is carried away by ocean acoustic waves, with negligible momentum imparted to the <span class="hlt">tsunami</span>. We also compare <span class="hlt">tsunami</span> propagation in each simulation to that predicted by an equivalent shallow water wave simulation with varying assumptions regarding initial velocity. We find that the initial horizontal velocity conditions proposed by Song and collaborators consistently overestimate the <span class="hlt">tsunami</span> amplitude and predict an inconsistent wave profile. Finally, we determine <span class="hlt">tsunami</span> initial conditions that are rigorously consistent with our full-physics simulations by isolating the <span class="hlt">tsunami</span> waves from ocean acoustic and seismic waves at some final time, and backpropagating the <span class="hlt">tsunami</span> waves to their initial state by solving the</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=5938283','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=5938283"><span>Mechanism of the 2015 volcanic <span class="hlt">tsunami</span> earthquake near Torishima, Japan</span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Satake, Kenji</p> <p>2018-01-01</p> <p><span class="hlt">Tsunami</span> earthquakes are a group of enigmatic earthquakes generating disproportionally large <span class="hlt">tsunamis</span> relative to seismic magnitude. These events occur most typically near deep-sea trenches. <span class="hlt">Tsunami</span> earthquakes occurring approximately every 10 years near Torishima on the Izu-Bonin arc are another example. Seismic and <span class="hlt">tsunami</span> waves from the 2015 event [Mw (moment magnitude) = 5.7] were recorded by an offshore seafloor array of 10 pressure gauges, ~100 km away from the epicenter. We made an array analysis of dispersive <span class="hlt">tsunamis</span> to locate the <span class="hlt">tsunami</span> source within the submarine Smith Caldera. The <span class="hlt">tsunami</span> simulation from a large caldera-floor uplift of ~1.5 m with a small peripheral depression yielded waveforms remarkably similar to the observations. The estimated central uplift, 1.5 m, is ~20 times larger than that inferred from the seismologically determined non–double-couple source. Thus, the <span class="hlt">tsunami</span> observation is not compatible with the published seismic source model taken at face value. However, given the indeterminacy of Mzx, Mzy, and M{tensile} of a shallow moment tensor source, it may be possible to find a source mechanism with efficient <span class="hlt">tsunami</span> but inefficient seismic radiation that can satisfactorily explain both the <span class="hlt">tsunami</span> and seismic observations, but this question remains unresolved. PMID:29740604</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/29740604','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/29740604"><span>Mechanism of the 2015 volcanic <span class="hlt">tsunami</span> earthquake near Torishima, Japan.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Fukao, Yoshio; Sandanbata, Osamu; Sugioka, Hiroko; Ito, Aki; Shiobara, Hajime; Watada, Shingo; Satake, Kenji</p> <p>2018-04-01</p> <p><span class="hlt">Tsunami</span> earthquakes are a group of enigmatic earthquakes generating disproportionally large <span class="hlt">tsunamis</span> relative to seismic magnitude. These events occur most typically near deep-sea trenches. <span class="hlt">Tsunami</span> earthquakes occurring approximately every 10 years near Torishima on the Izu-Bonin arc are another example. Seismic and <span class="hlt">tsunami</span> waves from the 2015 event [ M w (moment magnitude) = 5.7] were recorded by an offshore seafloor array of 10 pressure gauges, ~100 km away from the epicenter. We made an array analysis of dispersive <span class="hlt">tsunamis</span> to locate the <span class="hlt">tsunami</span> source within the submarine Smith Caldera. The <span class="hlt">tsunami</span> simulation from a large caldera-floor uplift of ~1.5 m with a small peripheral depression yielded waveforms remarkably similar to the observations. The estimated central uplift, 1.5 m, is ~20 times larger than that inferred from the seismologically determined non-double-couple source. Thus, the <span class="hlt">tsunami</span> observation is not compatible with the published seismic source model taken at face value. However, given the indeterminacy of M zx , M zy , and M {tensile} of a shallow moment tensor source, it may be possible to find a source mechanism with efficient <span class="hlt">tsunami</span> but inefficient seismic radiation that can satisfactorily explain both the <span class="hlt">tsunami</span> and seismic observations, but this question remains unresolved.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.er.usgs.gov/publication/70036490','USGSPUBS'); return false;" href="https://pubs.er.usgs.gov/publication/70036490"><span>Effects of fringing reefs on <span class="hlt">tsunami</span> inundation: American Samoa</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Gelfenbaum, G.; Apotsos, A.; Stevens, A.W.; Jaffe, B.</p> <p>2011-01-01</p> <p>A numerical model of <span class="hlt">tsunami</span> inundation, Delft3D, which has been validated for the 29 September 2009 <span class="hlt">tsunami</span> in Tutuila, American Samoa, is used to better understand the impact of fringing coral reefs and embayments on <span class="hlt">tsunami</span> wave heights, inundation distances, and velocities. The inundation model is used to explore the general conditions under which fringing reefs act as coastal buffers against incoming <span class="hlt">tsunamis</span>. Of particular interest is the response of <span class="hlt">tsunamis</span> to reefs of varying widths, depths, and roughness, as well as the effects of channels incised in the reef and the focusing effect of embayments. Model simulations for conditions similar to Tutuila, yet simplified to be uniform in the alongshore, suggest that for narrow reefs, less than about 200 m wide, the shoaling owing to shallow water depths over the fringing reef dominates, inducing greater wave heights onshore under some conditions and farther inundation inland. As the reef width increases, wave dissipation through bottom friction begins to dominate and the reef causes the <span class="hlt">tsunami</span> wave heights to decrease and the <span class="hlt">tsunami</span> to inundate less far inland. A sensitivity analysis suggests that coral reef roughness is important in determining the manner in which a fringing reef affects <span class="hlt">tsunami</span> inundation. Smooth reefs are more likely to increase the onshore velocity within the <span class="hlt">tsunami</span> compared to rough reefs. A larger velocity will likely result in an increased impact of the <span class="hlt">tsunami</span> on structures and buildings. Simulations developed to explore 2D coastal morphology show that incised channels similar to those found around Tutuila, as well as coastal embayments, also affect <span class="hlt">tsunami</span> inundation, allowing larger waves to penetrate farther inland. The largest effect is found for channels located within embayments, and for embayments that narrow landward. These simulations suggest that embayments that narrow landward, such as Fagafue Bay on the north side of Tutuila, and that have an incised deep channel, can</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013AGUFMNH43A1734B','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013AGUFMNH43A1734B"><span>Sources of information for <span class="hlt">tsunami</span> forecasting in New Zealand</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Barberopoulou, A.; Ristau, J. P.; D'Anastasio, E.; Wang, X.</p> <p>2013-12-01</p> <p><span class="hlt">Tsunami</span> science has evolved considerably in the last two decades due to technological advancements which also helped push for better numerical modelling of the <span class="hlt">tsunami</span> phases (generation to inundation). The deployment of DART buoys has also been a considerable milestone in <span class="hlt">tsunami</span> forecasting. <span class="hlt">Tsunami</span> forecasting is one of the parts that <span class="hlt">tsunami</span> modelling feeds into and is related to response, preparedness and planning. Usually <span class="hlt">tsunami</span> forecasting refers to short-term forecasting that takes place in real-time after a <span class="hlt">tsunami</span> has or appears to have been generated. In this report we refer to all types of forecasting (short-term or long-term) related to work in advance of a <span class="hlt">tsunami</span> impacting a coastline that would help in response, planning or preparedness. We look at the standard types of data (seismic, GPS, water level) that are available in New Zealand for <span class="hlt">tsunami</span> forecasting, how they are currently being used, other ways to use these data and provide recommendations for better utilisation. The main findings are: -Current investigations of the use of seismic parameters quickly obtained after an earthquake, have potential to provide critical information about the tsunamigenic potential of earthquakes. Further analysis of the most promising methods should be undertaken to determine a path to full implementation. -Network communication of the largest part of the GPS network is not currently at a stage that can provide sufficient data early enough for <span class="hlt">tsunami</span> warning. It is believed that it has potential, but changes including data transmission improvements may have to happen before real-time processing oriented to <span class="hlt">tsunami</span> early warning is implemented on the data that is currently provided. -Tide gauge data is currently under-utilised for <span class="hlt">tsunami</span> forecasting. Spectral analysis, modal analysis based on identified modes and arrival times extracted from the records can be useful in forecasting. -The current study is by no means exhaustive of the ways the different types</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.S53B0673M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.S53B0673M"><span>New constraints on the magnitude of the 4 January 1907 <span class="hlt">tsunami</span> earthquake off Sumatra, Indonesia, and its Indian Ocean-wide <span class="hlt">tsunami</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Martin, S. S.; Li, L.; Okal, E.; Kanamori, H.; Morin, J.; Sieh, K.; Switzer, A.</p> <p>2017-12-01</p> <p>On 4 January 1907, an earthquake and <span class="hlt">tsunami</span> occurred off the west coast of Sumatra, Indonesia, causing at least 2,188 fatalities. The earthquake was given an instrumental surface-wave magnitude (MS) in the range of 7.5 to 8.0 at periods of ≈40s. The <span class="hlt">tsunami</span> it triggered was destructive on the islands of Nias and Simeulue; on the latter, this gave rise to the legend of the S'mong. This <span class="hlt">tsunami</span> appears in records in India, Pakistan, Sri Lanka, and as far as the island of La Réunion. In relation to published seismic magnitudes for the earthquake, the <span class="hlt">tsunami</span> was anomalously large, qualifying it as a "<span class="hlt">tsunami</span> earthquake." Relocations using reported arrival times suggest an epicentral location near the trench. However, unusually for a <span class="hlt">tsunami</span> earthquake the reported macroseismic intensities were higher than expected on Nias (6-7 EMS). We present a new study of this event based on macroseismic and <span class="hlt">tsunami</span> observations culled from published literature and colonial press reports, as well as existing and newly acquired digitized or print seismograms. This multidisciplinary combination of macroseismic and seismological data with <span class="hlt">tsunami</span> modelling has yielded new insights into this poorly understood but scientifically and societally important <span class="hlt">tsunami</span> earthquake in the Indian Ocean. With these new data, we discriminated two large earthquakes within an hour of each other with clear differences in seismological character. The first, we interpret to be a <span class="hlt">tsunami</span> earthquake with low levels of shaking (3-4 EMS). For this event, we estimate a seismic moment (M0) between 0.8 and 1.2 x1021 Nm (≈MW 7.9 to 8.0) based on digitized Wiechert records at Göttingen in the frequency band 6-8 mHz. These records document a regular growth of moment with period and suggest possibly larger values of M0 at even longer periods. The second earthquake caused damage on Nias (6-7 EMS). We estimate MS 6 ¾ - 7 for the second event based on seismograms from Manila, Mizusawa, and Osaka. We also</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013AGUFMGP22A..05S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013AGUFMGP22A..05S"><span><span class="hlt">Tsunami</span> magnetic signals in the Northwestern Pacific seafloor magnetic measurements</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Schnepf, N. R.; An, C.; Nair, M. C.; Maus, S.</p> <p>2013-12-01</p> <p>In the past two decades, underwater cables and seafloor magnetometers have observed motional inductance from ocean <span class="hlt">tsunamis</span>. This study aimed to characterize the electromagnetic signatures of <span class="hlt">tsunamis</span> from seafloor stations to assist in the long-term goal of real-time <span class="hlt">tsunami</span> detection and warning systems. Four ocean seafloor stations (T13, T14, T15, T18) in the Northeastern Philippine Sea collected vector measurements of the electric and magnetic fields every minute during the period of 10/05/2005 to 11/30/2007 (Baba et al., 2010 PEPI). During this time, four major <span class="hlt">tsunamis</span> occurred as a result of moment magnitude 8.0-8.1 earthquakes. These <span class="hlt">tsunamis</span> include the 05/03/2006 Tonga event, the 01/13/2007 Kuril Islands event, the 04/01/2007 Solomon Islands event, and the 08/15/2007 Peru event. The Cornell Multi-grid Coupled <span class="hlt">Tsunami</span> model (COMCOT) was used to predict the arrival time of the <span class="hlt">tsunamis</span> at each of the seafloor stations. The stations' raw magnetic field signals underwent a high pass filter to then be examined for signals of the <span class="hlt">tsunami</span> arrival. The high pass filtering showed clear <span class="hlt">tsunami</span> signals for the Tonga event, but a clear signal was not seen for the other events. This may be due to signals from near Earth space with periods similar to <span class="hlt">tsunamis</span>. To remove extraneous atmospheric magnetic signals, a cross-wavelet analysis was conducted using the horizontal field components from three INTERMAGNET land stations and the vertical component from the seafloor stations. The cross-wavelet analysis showed that for three of the six stations (two of the four <span class="hlt">tsunami</span> events) the peak in wavelet amplitude matched the arrival of the <span class="hlt">tsunami</span>. We discuss implications of our finding in magnetic monitoring of <span class="hlt">tsunamis</span>.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2006AGUFM.U53C..06H','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2006AGUFM.U53C..06H"><span>Estimating Seismic Moment From Broadband P-Waves for <span class="hlt">Tsunami</span> Warnings.</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Hirshorn, B. F.</p> <p>2006-12-01</p> <p>The Richard H. Hagemeyer Pacific <span class="hlt">Tsunami</span> Warning Center (PTWC), located in Ewa Beach, Oahu, Hawaii, is responsible for <span class="hlt">issuing</span> local, regional, and distant <span class="hlt">tsunami</span> warnings to Hawaii, and for <span class="hlt">issuing</span> regional and distant <span class="hlt">tsunami</span> warnings to the rest of the Pacific Basin, exclusive of the US West Coast. The PTWC must provide these <span class="hlt">tsunami</span> warnings as soon as technologically possible, based entirely on estimates of a potentially tsunamigenic earthquake's source parameters. We calculate the broadband P-wave moment magnitude, Mwp, from the P or pP wave velocity seismograms [Tsuboi et al., 1995, 1999]. This method appears to work well for regional and teleseismic events [ Tsuboi et al (1999], Whitmore et al (2002), Hirshorn et al (2004) ]. Following Tsuboi, [1995], we consider the displacement record of the P-wave portion of the broadband seismograms as an approximate source time function and integrate this record to obtain the moment rate function, Mo(t), and the moment magnitude [Hanks and Kanamori, 1972] as a function of time, Mw(t). We present results for Mwp for local, regional, and teleseismic broad band recordings for earthquakes in the Mw 5 to 9.3 range. As large Hawaii events are rare, we tested this local case using other Pacific events in the magnitude 5.0 to 7.5 range recorded by nearby stations. Signals were excluded, however, if the epicentral distance was so small (generally less than 1 degree) that there was contamination by the S-wave too closely following the P-waves. Scatter plots of Mwp against the Harvard Mw for these events shows that Mwp does predict Mw well from seismograms recorded at local, regional, and teleseismic distances. For some complex earthquakes, eg. the Mw 8.4(HRV) Peru earthquake of June 21, 2001, Mwp underestimates Mw if the first moment release is not the largest. Our estimates of Mwp for the Mw 9.3 Summatra-Andaman Island's earthquake of December 26, 2004 and for the Mw 8.7 (HRV) Summatra event of March 28, 2005, were Mwp 8</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2009EGUGA..11.3502A','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2009EGUGA..11.3502A"><span><span class="hlt">Tsunami</span> Generation Modelling for Early Warning Systems</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Annunziato, A.; Matias, L.; Ulutas, E.; Baptista, M. A.; Carrilho, F.</p> <p>2009-04-01</p> <p>In the frame of a collaboration between the European Commission Joint Research Centre and the Institute of Meteorology in Portugal, a complete analytical tool to support Early Warning Systems is being developed. The tool will be part of the Portuguese National Early Warning System and will be used also in the frame of the UNESCO North Atlantic Section of the <span class="hlt">Tsunami</span> Early Warning System. The system called <span class="hlt">Tsunami</span> Analysis Tool (TAT) includes a worldwide scenario database that has been pre-calculated using the SWAN-JRC code (Annunziato, 2007). This code uses a simplified fault generation mechanism and the hydraulic model is based on the SWAN code (Mader, 1988). In addition to the pre-defined scenario, a system of computers is always ready to start a new calculation whenever a new earthquake is detected by the seismic networks (such as USGS or EMSC) and is judged capable to generate a <span class="hlt">Tsunami</span>. The calculation is performed using minimal parameters (epicentre and the magnitude of the earthquake): the programme calculates the rupture length and rupture width by using empirical relationship proposed by Ward (2002). The database calculations, as well the newly generated calculations with the current conditions are therefore available to TAT where the real online analysis is performed. The system allows to analyze also sea level measurements available worldwide in order to compare them and decide if a <span class="hlt">tsunami</span> is really occurring or not. Although TAT, connected with the scenario database and the online calculation system, is at the moment the only software that can support the <span class="hlt">tsunami</span> analysis on a global scale, we are convinced that the fault generation mechanism is too simplified to give a correct <span class="hlt">tsunami</span> prediction. Furthermore short <span class="hlt">tsunami</span> arrival times especially require a possible earthquake source parameters data on tectonic features of the faults like strike, dip, rake and slip in order to minimize real time uncertainty of rupture parameters. Indeed the earthquake</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2011AGUFMNH51B1700O','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2011AGUFMNH51B1700O"><span>A Study of the Effects of Seafloor Topography on <span class="hlt">Tsunami</span> Propagation</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Ohata, T.; Mikada, H.; Goto, T.; Takekawa, J.</p> <p>2011-12-01</p> <p>For <span class="hlt">tsunami</span> disaster mitigation, we consider the phenomena related to <span class="hlt">tsunami</span> in terms of the generation, propagation, and run-up to the coast. With consideration for these three phenomena, we have to consider <span class="hlt">tsunami</span> propagation to predict the arrival time and the run-up height of <span class="hlt">tsunami</span>. Numerical simulations of <span class="hlt">tsunami</span> that propagates from the source location to the coast have been widely used to estimate these important parameters. When a <span class="hlt">tsunami</span> propagates, however, reflected and scattered waves arrive as later phases of <span class="hlt">tsunami</span>. These waves are generated by the changes of water depth, and could influence the height estimation, especially in later phases. The maximum height of <span class="hlt">tsunami</span> could be observed not as the first arrivals but as the later phases, therefore it is necessary to consider the effects of the seafloor topography on <span class="hlt">tsunami</span> propagation. Since many simulations, however, mainly focus on the prediction of the first arrival times and the initial height of <span class="hlt">tsunami</span>, it is difficult to simulate the later phases that are important for the <span class="hlt">tsunami</span> disaster mitigation in the conventional methods. In this study, we investigate the effects of the seafloor topography on <span class="hlt">tsunami</span> propagation after accommodating a <span class="hlt">tsunami</span> simulation to the superposition of reflected and refracted waves caused by the smooth changes of water depths. Developing the new numerical code, we consider how the effects of the sea floor topography affect on the <span class="hlt">tsunami</span> propagation, comparing with the <span class="hlt">tsunami</span> simulated by the conventional method based on the liner long wave theory. Our simulation employs the three dimensional in-equally spaced grids in finite difference method (FDM) to introduce the real seafloor topography. In the simulation, we import the seafloor topography from the real bathymetry data near the Sendai-Bay, off the northeast Tohoku region, Japan, and simulate the <span class="hlt">tsunami</span> propagation over the varying seafloor topography there. Comparing with the <span class="hlt">tsunami</span> simulated by the</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2003AGUFMOS22B1154W','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2003AGUFMOS22B1154W"><span>Volcanic <span class="hlt">Tsunami</span> Generation in the Aleutian Arc of Alaska</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Waythomas, C. F.; Watts, P.</p> <p>2003-12-01</p> <p>Many of the worlds active volcanoes are situated on or near coastlines, and during eruptions the transfer of mass from volcano to sea is a potential source mechanism for <span class="hlt">tsunamis</span>. Flows of granular material off of volcanoes, such as pyroclastic flow, debris avalanche, and lahar, often deliver large volumes of unconsolidated debris to the ocean that have a large potential <span class="hlt">tsunami</span> hazard. The deposits of both hot and cold volcanic grain flows produced by eruptions of Aleutian arc volcanoes are exposed at many locations along the coastlines of the Bering Sea, North Pacific Ocean, and Cook Inlet indicating that the flows entered the sea and in some cases may have initiated <span class="hlt">tsunamis</span>. We evaluate the process of <span class="hlt">tsunami</span> generation by granular subaerial volcanic flows using examples from Aniakchak volcano in southwestern Alaska, and Augustine volcano in southern Cook Inlet. Evidence for far-field <span class="hlt">tsunami</span> inundation coincident with a major caldera-forming eruption of Aniakchak volcano ca. 3.5 ka has been described and is the basis for one of our case studies. We perform a numerical simulation of the <span class="hlt">tsunami</span> using a large volume pyroclastic flow as the source mechanism and compare our results to field measurements of <span class="hlt">tsunami</span> deposits preserved along the north shore of Bristol Bay. Several attributes of the <span class="hlt">tsunami</span> simulation, such as water flux and wave amplitude, are reasonable predictors of <span class="hlt">tsunami</span> deposit thickness and generally agree with the field evidence for <span class="hlt">tsunami</span> inundation. At Augustine volcano, geological investigations suggest that as many as 14 large volcanic-rock avalanches have reached the sea in the last 2000 years, and a debris avalanche emplaced during the 1883 eruption may have initiated a <span class="hlt">tsunami</span> observed about 80 km east of the volcano at the village of English Bay (Nanwalek) on the coast of the southern Kenai Peninsula. By analogy with the 1883 event, previous studies concluded that <span class="hlt">tsunamis</span> could have been generated many times in the past. If so</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2011AGUFMNH11A1346M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2011AGUFMNH11A1346M"><span>State Emergency Response and Field Observation Activities in California (USA) during the March 11, 2011, Tohoku <span class="hlt">Tsunami</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Miller, K. M.; Wilson, R. I.; Goltz, J.; Fenton, J.; Long, K.; Dengler, L.; Rosinski, A.; California Tsunami Program</p> <p>2011-12-01</p> <p>This poster will present an overview of successes and challenges observed by the authors during this major <span class="hlt">tsunami</span> response event. The Tohoku, Japan <span class="hlt">tsunami</span> was the most costly to affect California since the 1964 Alaskan earthquake and ensuing <span class="hlt">tsunami</span>. The Tohoku <span class="hlt">tsunami</span> caused at least $50 million in damage to public facilities in harbors and marinas along the coast of California, and resulted in one fatality. It was generated by a magnitude 9.0 earthquake which occurred at 9:46PM PST on Thursday, March 10, 2011 in the sea off northern Japan. The <span class="hlt">tsunami</span> was recorded at tide gages monitored by the West Coast/Alaska <span class="hlt">Tsunami</span> Warning Center (WCATWC), which projected <span class="hlt">tsunami</span> surges would reach California in approximately 10 hours. At 12:51AM on March 11, 2011, based on forecasted <span class="hlt">tsunami</span> amplitudes, the WCATWC placed the California coast north of Point Conception (Santa Barbara County) in a <span class="hlt">Tsunami</span> Warning, and the coast south of Point Conception to the Mexican border in a <span class="hlt">Tsunami</span> Advisory. The California Emergency Management Agency (CalEMA) activated two Regional Emergency Operation Centers (REOCs) and the State Operation Center (SOC). The California Geological Survey (CGS) deployed a field team which collected data before, during and after the event through an information clearinghouse. Conference calls were conducted hourly between the WCATWC and State Warning Center, as well as with emergency managers in the 20 coastal counties. Coordination focused on local response measures, public information messaging, assistance needs, evacuations, emergency shelters, damage, and recovery <span class="hlt">issues</span>. In the early morning hours, some communities in low lying areas recommended evacuation for their citizens, and the fishing fleet at Crescent City evacuated to sea. The greatest damage occurred in the harbors of Crescent City and Santa Cruz. As with any emergency, there were lessons learned and important successes in managing this event. Forecasts by the WCATWC were highly accurate</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_16");'>16</a></li> <li><a href="#" onclick='return showDiv("page_17");'>17</a></li> <li class="active"><span>18</span></li> <li><a href="#" onclick='return showDiv("page_19");'>19</a></li> <li><a href="#" onclick='return showDiv("page_20");'>20</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_18 --> <div id="page_19" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_17");'>17</a></li> <li><a href="#" onclick='return showDiv("page_18");'>18</a></li> <li class="active"><span>19</span></li> <li><a href="#" onclick='return showDiv("page_20");'>20</a></li> <li><a href="#" onclick='return showDiv("page_21");'>21</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="361"> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015PApGe.172..757B','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015PApGe.172..757B"><span>South American <span class="hlt">Tsunamis</span> in Lyttelton Harbor, New Zealand</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Borrero, Jose C.; Goring, Derek G.</p> <p>2015-03-01</p> <p>At 2347 UTC on April 1, 2014 (12:47 pm April 2, 2014 NZDT) an earthquake with a moment magnitude of 8.2 occurred offshore of Iquique in northern Chile. The temblor generated a <span class="hlt">tsunami</span> that was observed locally and recorded on tide gauges and deep ocean tsunameters close to the source region. While real time modeling based on inverted tsunameter data and finite fault solutions of the earthquake rupture suggested that a damaging far-field <span class="hlt">tsunami</span> was not expected (and later confirmed), this event nevertheless reminded us of the threat posed to New Zealand by <span class="hlt">tsunami</span> generated along the west coast of South America and from the Peru/Chile border region in particular. In this paper we quantitatively assess the <span class="hlt">tsunami</span> hazard at Lyttelton Harbor from South American <span class="hlt">tsunamis</span> through a review of historical accounts, numerical modeling of past events and analysis of water level records. A sensitivity study for <span class="hlt">tsunamis</span> generated along the length of the South American Subduction Zone is used to illustrate which section of the subduction zone would generate the strongest response at Lyttelton while deterministic scenario modeling of significant historical South American <span class="hlt">tsunamis</span> (i.e. 1868, 1877 and 1960) provide a quantitative estimate of the expected effects from possible future great earthquakes along the coast of South America.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2008GeoRL..3510604F','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2008GeoRL..3510604F"><span>The 15 August 2007 Peru <span class="hlt">tsunami</span> runup observations and modeling</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Fritz, Hermann M.; Kalligeris, Nikos; Borrero, Jose C.; Broncano, Pablo; Ortega, Erick</p> <p>2008-05-01</p> <p>On 15 August 2007 an earthquake with moment magnitude (Mw) of 8.0 centered off the coast of central Peru, generated a <span class="hlt">tsunami</span> with locally focused runup heights of up to10 m. A reconnaissance team was deployed two weeks after the event and investigated the <span class="hlt">tsunami</span> effects at 51 sites. Three <span class="hlt">tsunami</span> fatalities were reported south of the Paracas Peninsula in a sparsely populated desert area where the largest <span class="hlt">tsunami</span> runup heights were measured. Numerical modeling of the earthquake source and <span class="hlt">tsunami</span> suggest that a region of high slip near the coastline was primarily responsible for the extreme runup heights. The town of Pisco was spared by the Paracas Peninsula, which blocked <span class="hlt">tsunami</span> waves from propagating northward from the high slip region. The coast of Peru has experienced numerous deadly and destructive <span class="hlt">tsunamis</span> throughout history, which highlights the importance of ongoing <span class="hlt">tsunami</span> awareness and education efforts to ensure successful self-evacuation.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013EGUGA..15.3631M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013EGUGA..15.3631M"><span>Towards a robust framework for Probabilistic <span class="hlt">Tsunami</span> Hazard Assessment (PTHA) for local and regional <span class="hlt">tsunami</span> in New Zealand</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Mueller, Christof; Power, William; Fraser, Stuart; Wang, Xiaoming</p> <p>2013-04-01</p> <p>Probabilistic <span class="hlt">Tsunami</span> Hazard Assessment (PTHA) is conceptually closely related to Probabilistic Seismic Hazard Assessment (PSHA). The main difference is that PTHA needs to simulate propagation of <span class="hlt">tsunami</span> waves through the ocean and cannot rely on attenuation relationships, which makes PTHA computationally more expensive. The wave propagation process can be assumed to be linear as long as water depth is much larger than the wave amplitude of the <span class="hlt">tsunami</span>. Beyond this limit a non-linear scheme has to be employed with significantly higher algorithmic run times. PTHA considering far-field <span class="hlt">tsunami</span> sources typically uses unit source simulations, and relies on the linearity of the process by later scaling and combining the wave fields of individual simulations to represent the intended earthquake magnitude and rupture area. Probabilistic assessments are typically made for locations offshore but close to the coast. Inundation is calculated only for significantly contributing events (de-aggregation). For local and regional <span class="hlt">tsunami</span> it has been demonstrated that earthquake rupture complexity has a significant effect on the <span class="hlt">tsunami</span> amplitude distribution offshore and also on inundation. In this case PTHA has to take variable slip distributions and non-linearity into account. A unit source approach cannot easily be applied. Rupture complexity is seen as an aleatory uncertainty and can be incorporated directly into the rate calculation. We have developed a framework that manages the large number of simulations required for local PTHA. As an initial case study the effect of rupture complexity on <span class="hlt">tsunami</span> inundation and the statistics of the distribution of wave heights have been investigated for plate-interface earthquakes in the Hawke's Bay region in New Zealand. Assessing the probability that water levels will be in excess of a certain threshold requires the calculation of empirical cumulative distribution functions (ECDF). We compare our results with traditional estimates for</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUFMNH32B..06C','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUFMNH32B..06C"><span>A new real-time <span class="hlt">tsunami</span> detection algorithm</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Chierici, F.; Embriaco, D.; Pignagnoli, L.</p> <p>2016-12-01</p> <p>Real-time <span class="hlt">tsunami</span> detection algorithms play a key role in any <span class="hlt">Tsunami</span> Early Warning System. We have developed a new algorithm for <span class="hlt">tsunami</span> detection based on the real-time tide removal and real-time band-pass filtering of sea-bed pressure recordings. The algorithm greatly increases the <span class="hlt">tsunami</span> detection probability, shortens the detection delay and enhances detection reliability, at low computational cost. The algorithm is designed to be used also in autonomous early warning systems with a set of input parameters and procedures which can be reconfigured in real time. We have also developed a methodology based on Monte Carlo simulations to test the <span class="hlt">tsunami</span> detection algorithms. The algorithm performance is estimated by defining and evaluating statistical parameters, namely the detection probability, the detection delay, which are functions of the <span class="hlt">tsunami</span> amplitude and wavelength, and the occurring rate of false alarms. Pressure data sets acquired by Bottom Pressure Recorders in different locations and environmental conditions have been used in order to consider real working scenarios in the test. We also present an application of the algorithm to the <span class="hlt">tsunami</span> event which occurred at Haida Gwaii on October 28th, 2012 using data recorded by the Bullseye underwater node of Ocean Networks Canada. The algorithm successfully ran for test purpose in year-long missions onboard the GEOSTAR stand-alone multidisciplinary abyssal observatory, deployed in the Gulf of Cadiz during the EC project NEAREST and on NEMO-SN1 cabled observatory deployed in the Western Ionian Sea, operational node of the European research infrastructure EMSO.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2008AGUFMOS51E..06A','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2008AGUFMOS51E..06A"><span><span class="hlt">Tsunami</span> Catalogues for the Eastern Mediterranean - Revisited.</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Ambraseys, N.; Synolakis, C. E.</p> <p>2008-12-01</p> <p>We critically examine examine <span class="hlt">tsunami</span> catalogues of <span class="hlt">tsunamis</span> in the Eastern Mediterranean published in the last decade, by reference to the original sources, see Ambraseys (2008). Such catalogues have been widely used in the aftermath of the 2004 Boxing Day <span class="hlt">tsunami</span> for probabilistic hazard analysis, even to make projections for a ten year time frame. On occasion, such predictions have caused panic and have reduced the credibility of the scientific community in making hazard assessments. We correct classification and other spurious errors in earlier catalogues and posit a new list. We conclude that for some historic events, any assignment of magnitude, even on a six point intensity scale is inappropriate due to lack of information. Further we assert that any <span class="hlt">tsunami</span> catalogue, including ours, can only be used in conjunction with sedimentologic evidence to quantitatively infer the return period of larger events. Statistical analyses correlating numbers of <span class="hlt">tsunami</span> events derived solely from catalogues with their inferred or imagined intensities are meaningless, at least when focusing on specific locales where only a handful of <span class="hlt">tsunamis</span> are known to have been historically reported. Quantitative hazard assessments based on scenario events of historic <span class="hlt">tsunamis</span> for which -at best- only the size and approximate location of the parent earthquake is known should be undertaken with extreme caution and only with benefit of geologic studies to enhance the understanding of the local tectonics. Ambraseys N. (2008) Earthquakes in the Eastern Mediterranean and the Middle East: multidisciplinary study of 2000 years of seimicity, Cambridge Univ. Press, Cambridge (ISBN 9780521872928).</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AGUFMNH23C1890I','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AGUFMNH23C1890I"><span>Preliminary <span class="hlt">tsunami</span> hazard assessment in British Columbia, Canada</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Insua, T. L.; Grilli, A. R.; Grilli, S. T.; Shelby, M. R.; Wang, K.; Gao, D.; Cherniawsky, J. Y.; Harris, J. C.; Heesemann, M.; McLean, S.; Moran, K.</p> <p>2015-12-01</p> <p>Ocean Networks Canada (ONC), a not-for-profit initiative by the University of Victoria that operates several cabled ocean observatories, is developing a new generation of ocean observing systems (referred to as Smart Ocean Systems™), involving advanced undersea observation technologies, data networks and analytics. The ONC <span class="hlt">Tsunami</span> project is a Smart Ocean Systems™ project that addresses the need for a near-field <span class="hlt">tsunami</span> detection system for the coastal areas of British Columbia. Recent studies indicate that there is a 40-80% probability over the next 50 for a significant <span class="hlt">tsunami</span> impacting the British Columbia (BC) coast with runups higher than 1.5 m. The NEPTUNE cabled ocean observatory, operated by ONC off of the west coast of British Columbia, could be used to detect near-field <span class="hlt">tsunami</span> events with existing instrumentation, including seismometers and bottom pressure recorders. As part of this project, new <span class="hlt">tsunami</span> simulations are underway for the BC coast. <span class="hlt">Tsunami</span> propagation is being simulated with the FUNWAVE-TVD model, for a suite of new source models representing Cascadia megathrust rupture scenarios. Simulations are performed by one-way coupling in a series of nested model grids (from the source to the BC coast), whose bathymetry was developed based on digital elevation maps (DEMs) of the area, to estimate both <span class="hlt">tsunami</span> arrival time and coastal runup/inundation for different locations. Besides inundation, maps of additional parameters such as maximum current are being developed, that will aid in <span class="hlt">tsunami</span> hazard assessment and risk mitigation, as well as developing evacuation plans. We will present initial results of this work for the Port Alberni inlet, in particular Ucluelet, based on new source models developed using the best available data. We will also present a model validation using measurements of the 2011 transpacific Tohoku-oki <span class="hlt">tsunami</span> recorded in coastal BC by several instruments from various US and Canadian agencies.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017EGUGA..1912891R','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017EGUGA..1912891R"><span>Combining historical eyewitness accounts on <span class="hlt">tsunami</span>-induced waves and numerical simulations for getting insights in uncertainty of source parameters</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Rohmer, Jeremy; Rousseau, Marie; Lemoine, Anne; Pedreros, Rodrigo; Lambert, Jerome; benki, Aalae</p> <p>2017-04-01</p> <p> and numerical simulations. In order to learn the uncertainty information on source parameters, we treat the problem within the Bayesian setting, which enables to incorporate in a flexible manner the different uncertainty sources. We propose to rely on an emerging technique called Approximate Bayesian Computation ABC, which has been developed to estimate the posterior distribution in modelling scenarios where the likelihood function is either unknown or cannot be explicitly defined. To overcome the computational <span class="hlt">issue</span>, we combine ABC with statistical emulators (aka meta-model). We apply the proposed approach on the case study of Ligurian (North West of Italy) <span class="hlt">tsunami</span> (1887) and discuss the results with a special attention paid to the impact of the observational error.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2011NHESS..11..741S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2011NHESS..11..741S"><span>GPS water level measurements for Indonesia's <span class="hlt">Tsunami</span> Early Warning System</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Schöne, T.; Pandoe, W.; Mudita, I.; Roemer, S.; Illigner, J.; Zech, C.; Galas, R.</p> <p>2011-03-01</p> <p>On Boxing Day 2004, a severe <span class="hlt">tsunami</span> was generated by a strong earthquake in Northern Sumatra causing a large number of casualties. At this time, neither an offshore buoy network was in place to measure <span class="hlt">tsunami</span> waves, nor a system to disseminate <span class="hlt">tsunami</span> warnings to local governmental entities. Since then, buoys have been developed by Indonesia and Germany, complemented by NOAA's Deep-ocean Assessment and Reporting of <span class="hlt">Tsunamis</span> (DART) buoys, and have been moored offshore Sumatra and Java. The suite of sensors for offshore <span class="hlt">tsunami</span> detection in Indonesia has been advanced by adding GPS technology for water level measurements. The usage of GPS buoys in <span class="hlt">tsunami</span> warning systems is a relatively new approach. The concept of the German Indonesian <span class="hlt">Tsunami</span> Early Warning System (GITEWS) (Rudloff et al., 2009) combines GPS technology and ocean bottom pressure (OBP) measurements. Especially for near-field installations where the seismic noise may deteriorate the OBP data, GPS-derived sea level heights provide additional information. The GPS buoy technology is precise enough to detect medium to large <span class="hlt">tsunamis</span> of amplitudes larger than 10 cm. The analysis presented here suggests that for about 68% of the time, <span class="hlt">tsunamis</span> larger than 5 cm may be detectable.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.er.usgs.gov/publication/70036867','USGSPUBS'); return false;" href="https://pubs.er.usgs.gov/publication/70036867"><span>The 25 October 2010 Mentawai <span class="hlt">tsunami</span> earthquake, from real-time discriminants, finite-fault rupture, and <span class="hlt">tsunami</span> excitation</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Newman, A.V.; Hayes, G.; Wei, Y.; Convers, J.</p> <p>2011-01-01</p> <p>The moment magnitude 7.8 earthquake that struck offshore the Mentawai islands in western Indonesia on 25 October 2010 created a locally large <span class="hlt">tsunami</span> that caused more than 400 human causalities. We identify this earthquake as a rare slow-source <span class="hlt">tsunami</span> earthquake based on: 1) disproportionately large <span class="hlt">tsunami</span> waves; 2) excessive rupture duration near 125 s; 3) predominantly shallow, near-trench slip determined through finite-fault modeling; and 4) deficiencies in energy-to-moment and energy-to-duration-cubed ratios, the latter in near-real time. We detail the real-time solutions that identified the slow-nature of this event, and evaluate how regional reductions in crustal rigidity along the shallow trench as determined by reduced rupture velocity contributed to increased slip, causing the 5-9 m local <span class="hlt">tsunami</span> runup and observed transoceanic wave heights observed 1600 km to the southeast. Copyright 2011 by the American Geophysical Union.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2008AGUFMOS43D1340U','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2008AGUFMOS43D1340U"><span>Solomon Islands 2007 <span class="hlt">Tsunami</span> Near-Field Modeling and Source Earthquake Deformation</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Uslu, B.; Wei, Y.; Fritz, H.; Titov, V.; Chamberlin, C.</p> <p>2008-12-01</p> <p>The earthquake of 1 April 2007 left behind momentous footages of crust rupture and <span class="hlt">tsunami</span> impact along the coastline of Solomon Islands (Fritz and Kalligeris, 2008; Taylor et al., 2008; McAdoo et al., 2008; PARI, 2008), while the undisturbed <span class="hlt">tsunami</span> signals were also recorded at nearby deep-ocean tsunameters and coastal tide stations. These multi-dimensional measurements provide valuable datasets to tackle the challenging aspects at the <span class="hlt">tsunami</span> source directly by inversion from tsunameter records in real time (available in a time frame of minutes), and its relationship with the seismic source derived either from the seismometer records (available in a time frame of hours or days) or from the crust rupture measurements (available in a time frame of months or years). The <span class="hlt">tsunami</span> measurements in the near field, including the complex vertical crust motion and <span class="hlt">tsunami</span> runup, are particularly critical to help interpreting the <span class="hlt">tsunami</span> source. This study develops high-resolution inundation models for the Solomon Islands to compute the near-field <span class="hlt">tsunami</span> impact. Using these models, this research compares the tsunameter-derived <span class="hlt">tsunami</span> source with the seismic-derived earthquake sources from comprehensive perceptions, including vertical uplift and subsidence, <span class="hlt">tsunami</span> runup heights and their distributional pattern among the islands, deep-ocean tsunameter measurements, and near- and far-field tide gauge records. The present study stresses the significance of the <span class="hlt">tsunami</span> magnitude, source location, bathymetry and topography in accurately modeling the generation, propagation and inundation of the <span class="hlt">tsunami</span> waves. This study highlights the accuracy and efficiency of the tsunameter-derived <span class="hlt">tsunami</span> source in modeling the near-field <span class="hlt">tsunami</span> impact. As the high- resolution models developed in this study will become part of NOAA's <span class="hlt">tsunami</span> forecast system, these results also suggest expanding the system for potential applications in <span class="hlt">tsunami</span> hazard assessment, search and rescue operations</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/servlets/purl/1223169','SCIGOV-STC'); return false;" href="https://www.osti.gov/servlets/purl/1223169"><span>Can Asteroid Airbursts Cause Dangerous <span class="hlt">Tsunami</span>?.</span></a></p> <p><a target="_blank" href="http://www.osti.gov/search">DOE Office of Scientific and Technical Information (OSTI.GOV)</a></p> <p>Boslough, Mark B.</p> <p></p> <p>I have performed a series of high-resolution hydrocode simulations to generate “source functions” for <span class="hlt">tsunami</span> simulations as part of a proof-of-principle effort to determine whether or not the downward momentum from an asteroid airburst can couple energy into a dangerous <span class="hlt">tsunami</span> in deep water. My new CTH simulations show enhanced momentum multiplication relative to a nuclear explosion of the same yield. Extensive sensitivity and convergence analyses demonstrate that results are robust and repeatable for simulations with sufficiently high resolution using adaptive mesh refinement. I have provided surface overpressure and wind velocity fields to <span class="hlt">tsunami</span> modelers to use as time-dependent boundarymore » conditions and to test the hypothesis that this mechanism can enhance the strength of the resulting shallow-water wave. The enhanced momentum result suggests that coupling from an over-water plume-forming airburst could be a more efficient <span class="hlt">tsunami</span> source mechanism than a collapsing impact cavity or direct air blast alone, but not necessarily due to the originally-proposed mechanism. This result has significant implications for asteroid impact risk assessment and airburst-generated <span class="hlt">tsunami</span> will be the focus of a NASA-sponsored workshop at the Ames Research Center next summer, with follow-on funding expected.« less</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/23533054','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/23533054"><span><span class="hlt">Tsunami</span>-tendenko and morality in disasters.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Kodama, Satoshi</p> <p>2015-05-01</p> <p>Disaster planning challenges our morality. Everyday rules of action may need to be suspended during large-scale disasters in favour of maxims that that may make prudential or practical sense and may even be morally preferable but emotionally hard to accept, such as <span class="hlt">tsunami</span>-tendenko. This maxim dictates that the individual not stay and help others but run and preserve his or her life instead. <span class="hlt">Tsunami</span>-tendenko became well known after the great East Japan earthquake on 11 March 2011, when almost all the elementary and junior high school students in one city survived the <span class="hlt">tsunami</span> because they acted on this maxim that had been taught for several years. While <span class="hlt">tsunami</span>-tendenko has been praised, two criticisms of it merit careful consideration: one, that the maxim is selfish and immoral; and two, that it goes against the natural tendency to try to save others in dire need. In this paper, I will explain the concept of <span class="hlt">tsunami</span>-tendenko and then respond to these criticisms. Such ethical analysis is essential for dispelling confusion and doubts about evacuation policies in a disaster. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2006PhTea..44..585D','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2006PhTea..44..585D"><span>Modeling the 2004Indian Ocean <span class="hlt">Tsunami</span> for Introductory Physics Students</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>DiLisi, Gregory A.; Rarick, Richard A.</p> <p>2006-12-01</p> <p>In this paper we develop materials to address student interest in the Indian Ocean <span class="hlt">tsunami</span> of December 2004. We discuss the physical characteristics of <span class="hlt">tsunamis</span> and some of the specific data regarding the 2004 event. Finally, we create an easy-to-make <span class="hlt">tsunami</span> tank to run simulations in the classroom. The simulations exhibit three dramatic signatures of <span class="hlt">tsunamis</span>, namely, as a <span class="hlt">tsunami</span> moves into shallow water its amplitude increases, its wavelength and speed decrease, and its leading edge becomes increasingly steep as if to "break" or "crash." Using our <span class="hlt">tsunami</span> tank, these realistic features were easy to observe in the classroom and evoked an enthusiastic response from our students.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AIPC.1658e0004M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AIPC.1658e0004M"><span>Risk mapping and <span class="hlt">tsunami</span> mitigation in Gunungkidul area, Yogyakarta</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Mardiatno, Djati; Sunarto, WF, Lies Rahayu; Saptadi, Gatot; Ayuningtyas, Efrinda Ari</p> <p>2015-04-01</p> <p>Coastal area of Gunungkidul Regency is one of the areas prone to <span class="hlt">tsunami</span> in Indonesia. In contrary, currently, this area is very intensively developed as one of the favourite tourism destination. This paper is aimed at explaining <span class="hlt">tsunami</span> risk and a mitigation type in Gunungkidul Area, Yogyakarta. Digital elevation model (DEM) and coastal morphology were used to generate <span class="hlt">tsunami</span> hazard map. Vulnerability was analysed by utilizing land use data. Information from previous studies (e.g. from GTZ) were also considered for analysis. <span class="hlt">Tsunami</span> risk was classified into three classes, i.e. high risk, medium risk, and low risk and visualized in the form of <span class="hlt">tsunami</span> risk map. <span class="hlt">Tsunami</span> risk map is a tool which can be used as disaster reduction instrument, such as for evacuation routes planning. Based on the preliminary results of this research, it is clear that <span class="hlt">tsunami</span> risk in this area is varied depend on the morphological condition of the location. There are five coastal area selected as the location, i.e. Ngrenehan, Baron, Sepanjang, PulangSawal, and Sadeng. All locations have the high risk zone to <span class="hlt">tsunami</span>, especially for bay area. Evacuation routes were generated for all locations by considering the local landscape condition. There are several differences of evacuation ways for each location.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUFMNH43A1810B','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUFMNH43A1810B"><span>The New Zealand <span class="hlt">Tsunami</span> Database: historical and modern records</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Barberopoulou, A.; Downes, G. L.; Cochran, U. A.; Clark, K.; Scheele, F.</p> <p>2016-12-01</p> <p>A database of historical (pre-instrumental) and modern (instrumentally recorded)<span class="hlt">tsunamis</span> that have impacted or been observed in New Zealand has been compiled andpublished online. New Zealand's tectonic setting, astride an obliquely convergenttectonic boundary on the Pacific Rim, means that it is vulnerable to local, regional andcircum-Pacific <span class="hlt">tsunamis</span>. Despite New Zealand's comparatively short written historicalrecord of c. 200 years there is a wealth of information about the impact of past <span class="hlt">tsunamis</span>.The New Zealand <span class="hlt">Tsunami</span> Database currently has 800+ entries that describe >50 highvaliditytsunamis. Sources of historical information include witness reports recorded indiaries, notes, newspapers, books, and photographs. Information on recent events comesfrom tide gauges and other instrumental recordings such as DART® buoys, and media ofgreater variety, for example, video and online surveys. The New Zealand <span class="hlt">Tsunami</span>Database is an ongoing project with information added as further historical records cometo light. Modern <span class="hlt">tsunamis</span> are also added to the database once the relevant data for anevent has been collated and edited. This paper briefly overviews the procedures and toolsused in the recording and analysis of New Zealand's historical <span class="hlt">tsunamis</span>, with emphasison database content.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015PApGe.172.3385H','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015PApGe.172.3385H"><span><span class="hlt">Tsunami</span> Impact Computed from Offshore Modeling and Coastal Amplification Laws: Insights from the 2004 Indian Ocean <span class="hlt">Tsunami</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Hébert, H.; Schindelé, F.</p> <p>2015-12-01</p> <p>The 2004 Indian Ocean <span class="hlt">tsunami</span> gave the opportunity to gather unprecedented <span class="hlt">tsunami</span> observation databases for various coastlines. We present here an analysis of such databases gathered for 3 coastlines, among the most impacted in 2004 in the intermediate- and far field: Thailand-Myanmar, SE India-Sri Lanka, and SE Madagascar. Non-linear shallow water <span class="hlt">tsunami</span> modeling performed on a single 4' coarse bathymetric grid is compared to these observations, in order to check to which extent a simple approach based on the usual energy conservation laws (either Green's or Synolakis laws) can explain the data. The idea is to fit <span class="hlt">tsunami</span> data with numerical modeling carried out without any refined coastal bathymetry/topography. To this end several parameters are discussed, namely the bathymetric depth to which model results must be extrapolated (using the Green's law), or the mean bathymetric slope to consider near the studied coast (when using the Synolakis law). Using extrapolation depths from 1 to 10 m generally allows a good fit; however, a 0.1 m is required for some others, especially in the far field (Madagascar) possibly due to enhanced numerical dispersion. Such a method also allows describing the <span class="hlt">tsunami</span> impact variability along a given coastline. Then, using a series of scenarios, we propose a preliminary statistical assessment of <span class="hlt">tsunami</span> impact for a given earthquake magnitude along the Indonesian subduction. Conversely, the sources mostly contributing to a specific hazard can also be mapped onto the sources, providing a first order definition of which sources are threatening the 3 studied coastlines.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUFMPA31D2224B','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUFMPA31D2224B"><span>PTWC Creating a New Catalog of Historic <span class="hlt">Tsunami</span> Animations for NOAA Science-on-a-Sphere Exhibits</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Becker, N. C.; Geschwind, L. R.; Wang, D.</p> <p>2016-12-01</p> <p>Throughout 2016 the Pacific <span class="hlt">Tsunami</span> Warning Center (PTWC) has been developing a catalog of <span class="hlt">tsunami</span> animations for NOAA's Science on a Sphere (SOS) display system. The SOS consists of a six-foot (1.8 m) diameter sphere that serves as a projection screen for four high-definition video projectors that can show any global dataset. SOS systems have been installed in over 100 locations around the world, primarily in venues such as science museums. Education and outreach are a vital part of PTWC's mission and SOS can show the global impacts of <span class="hlt">tsunami</span> hazards in an intuitive and engaging presentation analogous to a planetarium. PTWC has been releasing these animations for the anniversaries of significant <span class="hlt">tsunamis</span> throughout the year and has so far has produced them for Cascadia 1700, Chile 2010, Japan 2011, Aleutian Islands 1946, Alaska 1964, and Chile 1960, and before the end of the year the library will include Samoa 2009 and Sumatra 2004. PTWC created these animations at 8k video resolution to future-proof them against SOS upgrades such as higher definition projectors and larger spheres. Though not the first SOS <span class="hlt">tsunami</span> animations, these are the first ones to show impacts to coastlines, the criteria that PTWC uses to determine the <span class="hlt">tsunami</span> hazard guidance it will <span class="hlt">issue</span> to the coastal populations it serves. These animations also all use a common color scheme based on PTWC's alert criteria such that they will be consistent with each other as well as with PTWC's <span class="hlt">tsunami</span> messages. PTWC created these animations using the same <span class="hlt">tsunami</span> forecast model it routinely uses in its warning operations, and PTWC has even demonstrated that it can produce a SOS <span class="hlt">tsunami</span> animation while a <span class="hlt">tsunami</span> was still crossing the Pacific Ocean, and so this library of animations can also be used to prepare docents and audiences to interpret such a real-time animation should it become available for the next major <span class="hlt">tsunami</span>. One does not need access to a SOS exhibit, however, to view these animations</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013EGUGA..15.4094T','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013EGUGA..15.4094T"><span>Warning and prevention based on estimates with large uncertainties: the case of low-frequency and large-impact events like <span class="hlt">tsunamis</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Tinti, Stefano; Armigliato, Alberto; Pagnoni, Gianluca; Zaniboni, Filippo</p> <p>2013-04-01</p> <p>Geoscientists deal often with hazardous processes like earthquakes, volcanic eruptions, <span class="hlt">tsunamis</span>, hurricanes, etc., and their research is aimed not only to a better understanding of the physical processes, but also to provide assessment of the space and temporal evolution of a given individual event (i.e. to provide short-term prediction) and of the expected evolution of a group of events (i.e. to provide statistical estimates referred to a given return period, and a given geographical area). One of the main <span class="hlt">issues</span> of any scientific method is how to cope with measurement errors, a topic which in case of forecast of ongoing or of future events translates into how to deal with forecast uncertainties. In general, the more data are available and processed to make a prediction, the more accurate the prediction is expected to be if the scientific approach is sound, and the smaller the associated uncertainties are. However, there are several important cases where assessment is to be made with insufficient data or insufficient time for processing, which leads to large uncertainties. Two examples can be given taken from <span class="hlt">tsunami</span> science, since <span class="hlt">tsunamis</span> are rare events that may have destructive power and very large impact. One example is the case of warning for a <span class="hlt">tsunami</span> generated by a near-coast earthquake, which is an <span class="hlt">issue</span> at the focus of the European funded project NearToWarn. Warning has to be launched before <span class="hlt">tsunami</span> hits the coast, that is in a few minutes after its generation. This may imply that data collected in such a short time are not yet enough for an accurate evaluation, also because the implemented monitoring system (if any) could be inadequate (f.i. one reason of inadequacy could be that implementing a dense instrumental network could be judged too expensive for rare events) The second case is the long term prevention from <span class="hlt">tsunami</span> strikes. <span class="hlt">Tsunami</span> infrequency may imply that the historical record for a given piece of coast is too short to capture a statistical</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2008GMS...182..147T','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2008GMS...182..147T"><span>The double landslide-induced <span class="hlt">tsunami</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Tinti, S.; Armigliat, A.; Manucci, A.; Pagnoni, G.; Tonini, R.; Zaniboni, F.; Maramai, A.; Graziani, L.</p> <p></p> <p>The 2002 crisis of Stromboli culminated on December 30 in a series of mass failures detached from the Sciara del Fuoco, with two main landslides, one submarine followed about 7 min later by a second subaerial. These landslides caused two distinct <span class="hlt">tsunamis</span> that were seen by most people in the island as a unique event. The double <span class="hlt">tsunami</span> was strongly damaging, destroying several houses in the waterfront at Ficogrande, Punta Lena, and Scari localities in the northeastern coast of Stromboli. The waves affected also Panarea and were observed in the northern Sicily coast and even in Campania, but with minor effects. There are no direct instrumental records of these <span class="hlt">tsunamis</span>. What we know resides on (1) observations and quantification of the impact of the waves on the coast, collected in a number of postevent field surveys; (2) interviews of eyewitnesses and a collection of <span class="hlt">tsunami</span> images (photos and videos) taken by observers; and (3) on results of numerical simulations. In this paper, we propose a critical reconstruction of the events where all the available pieces of information are recomposed to form a coherent and consistent mosaic.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AGUFMNH13E..01S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AGUFMNH13E..01S"><span>Role of sediment transport model to improve the <span class="hlt">tsunami</span> numerical simulation</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Sugawara, D.; Yamashita, K.; Takahashi, T.; Imamura, F.</p> <p>2015-12-01</p> <p>Are we overlooking an important factor for improved numerical prediction of <span class="hlt">tsunamis</span> in shallow sea to onshore? In this presentation, several case studies on numerical modeling of <span class="hlt">tsunami</span>-induced sediment transport are reviewed, and the role of sediment transport models for <span class="hlt">tsunami</span> inundation simulation is discussed. Large-scale sediment transport and resulting geomorphological change occurred in the coastal areas of Tohoku, Japan, due to the 2011 Tohoku Earthquake <span class="hlt">Tsunami</span>. Datasets obtained after the <span class="hlt">tsunami</span>, including geomorphological and sedimentological data as well as hydrodynamic records, allows us to validate the numerical model in detail. The numerical modeling of the sediment transport by the 2011 <span class="hlt">tsunami</span> depicted the severest erosion of sandy beach, as well as characteristic spatial patterns of erosion and deposition on the seafloor, which have taken place in Hirota Bay, Sanriku Coast. Quantitative comparisons of observation and simulation of the geomorphological changes in Sanriku Coast and Sendai Bay showed that the numerical model can predict the volumes of erosion and deposition with a right order. In addition, comparison of the simulation with aerial video footages demonstrated the numerical model is capable of tracking the overall processes of <span class="hlt">tsunami</span> sediment transport. Although <span class="hlt">tsunami</span>-induced sediment erosion and deposition sometimes cause significant geomorphological change, and may enhance <span class="hlt">tsunami</span> hydrodynamic impact to the coastal zones, most <span class="hlt">tsunami</span> simulations do not include sediment transport modeling. A coupled modeling of <span class="hlt">tsunami</span> hydrodynamics and sediment transport draws a different picture of <span class="hlt">tsunami</span> hazard, comparing with simple hydrodynamic modeling of <span class="hlt">tsunami</span> inundation. Since <span class="hlt">tsunami</span>-induced erosion, deposition and geomorphological change sometimes extend more than several kilometers across the coastline, two-dimensional horizontal model are typically used for the computation of <span class="hlt">tsunami</span> hydrodynamics and sediment transport</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_17");'>17</a></li> <li><a href="#" onclick='return showDiv("page_18");'>18</a></li> <li class="active"><span>19</span></li> <li><a href="#" onclick='return showDiv("page_20");'>20</a></li> <li><a href="#" onclick='return showDiv("page_21");'>21</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_19 --> <div id="page_20" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_18");'>18</a></li> <li><a href="#" onclick='return showDiv("page_19");'>19</a></li> <li class="active"><span>20</span></li> <li><a href="#" onclick='return showDiv("page_21");'>21</a></li> <li><a href="#" onclick='return showDiv("page_22");'>22</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="381"> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017PApGe.174.2351L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017PApGe.174.2351L"><span>The Dependency of Probabilistic <span class="hlt">Tsunami</span> Hazard Assessment on Magnitude Limits of Seismic Sources in the South China Sea and Adjoining Basins</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Li, Hongwei; Yuan, Ye; Xu, Zhiguo; Wang, Zongchen; Wang, Juncheng; Wang, Peitao; Gao, Yi; Hou, Jingming; Shan, Di</p> <p>2017-06-01</p> <p>The South China Sea (SCS) and its adjacent small basins including Sulu Sea and Celebes Sea are commonly identified as <span class="hlt">tsunami</span>-prone region by its historical records on seismicity and <span class="hlt">tsunamis</span>. However, quantification of <span class="hlt">tsunami</span> hazard in the SCS region remained an intractable <span class="hlt">issue</span> due to highly complex tectonic setting and multiple seismic sources within and surrounding this area. Probabilistic <span class="hlt">Tsunami</span> Hazard Assessment (PTHA) is performed in the present study to evaluate <span class="hlt">tsunami</span> hazard in the SCS region based on a brief review on seismological and <span class="hlt">tsunami</span> records. 5 regional and local potential <span class="hlt">tsunami</span> sources are tentatively identified, and earthquake catalogs are generated using Monte Carlo simulation following the Tapered Gutenberg-Richter relationship for each zone. Considering a lack of consensus on magnitude upper bound on each seismic source, as well as its critical role in PTHA, the major concern of the present study is to define the upper and lower limits of <span class="hlt">tsunami</span> hazard in the SCS region comprehensively by adopting different corner magnitudes that could be derived by multiple principles and approaches, including TGR regression of historical catalog, fault-length scaling, tectonic and seismic moment balance, and repetition of historical largest event. The results show that <span class="hlt">tsunami</span> hazard in the SCS and adjoining basins is subject to large variations when adopting different corner magnitudes, with the upper bounds 2-6 times of the lower. The probabilistic <span class="hlt">tsunami</span> hazard maps for specified return periods reveal much higher threat from Cotabato Trench and Sulawesi Trench in the Celebes Sea, whereas <span class="hlt">tsunami</span> hazard received by the coasts of the SCS and Sulu Sea is relatively moderate, yet non-negligible. By combining empirical method with numerical study of historical <span class="hlt">tsunami</span> events, the present PTHA results are tentatively validated. The correspondence lends confidence to our study. Considering the proximity of major sources to population-laden cities</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017EGUGA..19.3805R','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017EGUGA..19.3805R"><span>DTWT (Dispersive <span class="hlt">Tsunami</span> Wave Tool): a new tool for computing the complete dispersion of <span class="hlt">tsunami</span> travel time.</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Reymond, Dominique</p> <p>2017-04-01</p> <p>We present a tool for computing the complete arrival times of the dispersed wave-train of a <span class="hlt">tsunami</span>. The calculus is made using the exact formulation of the <span class="hlt">tsunami</span> dispersion (and without approximations), at any desired periods between one hour or more (concerning the gravity waves propagation) until 10s (the highly dispersed mode). The computation of the travel times is based on the a summation of the necessary time for a <span class="hlt">tsunami</span> to cross all the elementary blocs of a grid of bathymetry following a path between the source and receiver at a given period. In addition the source dimensions and the focal mechanism are taken into account to adjust the minimum travel time to the different possible points of emission of the source. A possible application of this tool is to forecast the arrival time of late arrivals of <span class="hlt">tsunami</span> waves that could produce the resonnance of some bays and sites at higher frequencies than the gravity mode. The theoretical arrival times are compared to the observed ones and to the results obtained by TTT (P. Wessel, 2009) and the ones obtained by numerical simulations. References: Wessel, P. (2009). Analysis of oberved and predicted <span class="hlt">tsunami</span> travel times for the Pacic and Indian oceans. Pure Appl. Geophys., 166:301-324.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018E%26ES..118a2033Y','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018E%26ES..118a2033Y"><span>Analysis of community <span class="hlt">tsunami</span> evacuation time: An overview</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Yunarto, Y.; Sari, A. M.</p> <p>2018-02-01</p> <p><span class="hlt">Tsunami</span> in Indonesia is defined as local <span class="hlt">tsunami</span> due to its occurrences which are within a distance of 200 km from the epicenter of the earthquake. A local <span class="hlt">tsunami</span> can be caused by an earthquake, landslide, or volcanic eruption. <span class="hlt">Tsunami</span> arrival time in Indonesia is generally between 10-60 minutes. As the estimated time of the <span class="hlt">tsunami</span> waves to reach the coast is 30 minutes after the earthquake, the community should go to the vertical or horizontal evacuation in less than 30 minutes. In an evacuation, the city frequently does the evacuation after obtaining official directions from the authorities. Otherwise, they perform an independent evacuation without correct instructions from the authorities. Both of these ways have several strengths and limitations. This study analyzes these methods regarding time as well as the number of people expected to be saved.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AGUFMNH23A1867K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AGUFMNH23A1867K"><span>Leading Wave Amplitude of a <span class="hlt">Tsunami</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Kanoglu, U.</p> <p>2015-12-01</p> <p>Okal and Synolakis (EGU General Assembly 2015, Geophysical Research Abstracts-Vol. 17-7622) recently discussed that why the maximum amplitude of a <span class="hlt">tsunami</span> might not occur for the first wave. Okal and Synolakis list observations from 2011 Japan <span class="hlt">tsunami</span>, which reached to Papeete, Tahiti with a fourth wave being largest and 72 min later after the first wave; 1960 Chilean <span class="hlt">tsunami</span> reached Hilo, Hawaii with a maximum wave arriving 1 hour later with a height of 5m, first wave being only 1.2m. Largest later waves is a problem not only for local authorities both in terms of warning to the public and rescue efforts but also mislead the public thinking that it is safe to return shoreline or evacuated site after arrival of the first wave. Okal and Synolakis considered Hammack's (1972, Ph.D. Dissertation, Calif. Inst. Tech., 261 pp., Pasadena) linear dispersive analytical solution with a <span class="hlt">tsunami</span> generation through an uplifting of a circular plug on the ocean floor. They performed parametric study for the radius of the plug and the depth of the ocean since these are the independent scaling lengths in the problem. They identified transition distance, as the second wave being larger, regarding the parameters of the problem. Here, we extend their analysis to an initial wave field with a finite crest length and, in addition, to a most common <span class="hlt">tsunami</span> initial wave form of N-wave as presented by Tadepalli and Synolakis (1994, Proc. R. Soc. A: Math. Phys. Eng. Sci., 445, 99-112). We compare our results with non-dispersive linear shallow water wave results as presented by Kanoglu et al. (2013, Proc. R. Soc. A: Math. Phys. Eng. Sci., 469, 20130015), investigating focusing feature. We discuss the results both in terms of leading wave amplitude and <span class="hlt">tsunami</span> focusing. Acknowledgment: The research leading to these results has received funding from the European Union's Seventh Framework Programme (FP7/2007-2013) under grant agreement no 603839 (Project ASTARTE - Assessment, Strategy and Risk</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUFMNH41A1762L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUFMNH41A1762L"><span>Field Survey of the 2015 Ilapel <span class="hlt">Tsunami</span> in North Central Chile</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Lagos, M.; Fritz, H. M.</p> <p>2016-12-01</p> <p>The magnitude Mw 8.3 earthquake in north-central Chile on September 16, 2015 generated a <span class="hlt">tsunami</span> that rapidly flooded coastal areas. The <span class="hlt">tsunami</span> impact was concentrated in Coquimbo region, while the regions of Valparaiso and Atacama were also affected. Fortunately, ancestral knowledge from the past <span class="hlt">tsunamis</span> in the region, as well as <span class="hlt">tsunami</span> education and evacuation exercises prompted most coastal residents to spontaneously evacuate to high ground after the earthquake. The event caused 11 fatalities: 8 were associated with the <span class="hlt">tsunami</span>, while 3 were attributed to building collapses caused by the earthquake. The international scientist joined the local effort from September 20 to 26, 2015. The international <span class="hlt">tsunami</span> survey team (ITST) interviewed numerous eyewitnesses and documented flow depths, runup heights, inundation distances, sediment deposition, damage patterns, performance of the navigation infrastructure and impact on the natural environment. The ITST covered a 500 km stretch of coastline from Caleta Chañaral de Aceituno (28.8° S) south of Huasco down to Llolleo near San Antonio (33.6° S). We surveyed more than 40 locations and recorded more than 100 <span class="hlt">tsunami</span> and runup heights with differential GPS and integrated laser range finders. The <span class="hlt">tsunami</span> impact peaked at Caleta Totoral near Punta Aldea with both <span class="hlt">tsunami</span> and runup heights exceeding 10 m as surveyed on September 22. Runup exceeded 10 m at a second uninhabited location some 15 km south of Caleta Totoral. A significant variation in <span class="hlt">tsunami</span> impact was observed along the coastlines of central Chile at local and regional scales. The <span class="hlt">tsunami</span> occurred in the evening hours limiting the availability of eyewitness video footages. Observations from the 2015 Chile <span class="hlt">tsunami</span> are compared with recent Chilean <span class="hlt">tsunamis</span>. The <span class="hlt">tsunami</span> was characterized by rapid arrival within minutes in the nearfield requiring spontaneous self-evacuation as warning messages did not reach some of the hardest hit fishing villages prior to</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AGUFMNH14A..03L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AGUFMNH14A..03L"><span>Modeling <span class="hlt">tsunamis</span> induced by retrogressive submarine landslides</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Løvholt, F.; Kim, J.; Harbitz, C. B.</p> <p>2015-12-01</p> <p>Enormous submarine landslides having volumes up to thousands of km3 and long run-out may cause <span class="hlt">tsunamis</span> with widespread effects. Clay-rich landslides, such as Trænadjupet and Storegga offshore Norway commonly involve retrogressive mass and momentum release mechanisms that affect the <span class="hlt">tsunami</span> generation. Therefore, such landslides may involve a large amount of smaller blocks. As a consequence, the failure mechanisms and release rate of the individual blocks are of importance for the <span class="hlt">tsunami</span> generation. Previous attempts to model the <span class="hlt">tsunami</span> generation due to retrogressive landslides are few, and limited to idealized conditions. Here, we review the basic effects of retrogression on tsunamigenesis in simple geometries. To this end, two different methods are employed for the landslide motion, a series block with pre-scribed time lags and kinematics, and a dynamic retrogressive model where the inter-block time lag is determined by the model. The effect of parameters such as time lag on wave-height, wave-length, and dispersion are discussed. Finally, we discuss how the retrogressive effects may have influenced the <span class="hlt">tsunamis</span> due to large landslides such as the Storegga slide. The research leading to these results has received funding from the Research Council of Norway under grant number 231252 (Project <span class="hlt">Tsunami</span>Land) and the European Union's Seventh Framework Programme (FP7/2007-2013) under grant agreement 603839 (Project ASTARTE).</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AIPC.1903f0003A','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AIPC.1903f0003A"><span>Road infrastructure resilience to <span class="hlt">tsunami</span> in Cilegon</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Arini, Srikandi Wahyu; Sumabrata, Jachrizal</p> <p>2017-11-01</p> <p>Indonesia is vulnerable to natural disasters. The highest number of natural disaster occurs on the west side of Java Island with the <span class="hlt">tsunami</span> as the most deadly. Cilegon, a densely populated city with high industrial activity is located on the west coast of Java Island with a gently sloping topography, hence it is vulnerable to <span class="hlt">tsunami</span>. Simulations conducted by the National Disaster Management Authority indicates that earthquakes with epicenters in the Sunda strait will cause <span class="hlt">tsunamis</span> which can sweep away the whole industrial area in one hour. The availability of evacuation routes which can accommodate the evacuation of large numbers of people within a short time is required. Road infrastructure resilience is essential to support the performance of the evacuation routes. Poor network resilience will reduce mobility and accessibility during the evacuation. The objectives of this paper are to analyze the impact of the earthquake-generated <span class="hlt">tsunami</span> on the evacuation routes and to simulate and analyze the performance of existing evacuation routes in Cilegon. The limitations of the modeling approaches including the current and future challenges in evacuation transport research and its applications are also discussed. The conclusion from this study is accurate data source are needed to build a more representative model and predict the areas susceptible to <span class="hlt">tsunamis</span> vulnerable areas and to construct cogent <span class="hlt">tsunami</span> mitigation plans and actions for the most vulnerable areas.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018PApGe.175.1507R','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018PApGe.175.1507R"><span>Historical <span class="hlt">Tsunami</span> Records on Russian Island, the Sea of Japan</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Razjigaeva, N. G.; Ganzey, L. A.; Grebennikova, T. A.; Arslanov, Kh. A.; Ivanova, E. D.; Ganzey, K. S.; Kharlamov, A. A.</p> <p>2018-04-01</p> <p>In this article, we provide data evidencing <span class="hlt">tsunamis</span> on Russian Island over the last 700 years. Reconstructions are developed based on the analyses of peat bog sections on the coast of Spokoynaya Bay, including layers of <span class="hlt">tsunami</span> sands. Ancient beach sands under peat were deposited during the final phase of transgression of the Medieval Warm Period. We used data on diatoms and benthic foraminifers to identify the marine origin of the sands. The grain size compositions of the <span class="hlt">tsunami</span> deposits were used to determine the sources of material carried by the <span class="hlt">tsunamis</span>. The chronology of historical <span class="hlt">tsunamis</span> was determined based on the radiocarbon dating of the underlying organic deposits. There was a stated difference between the deposition environments during <span class="hlt">tsunamis</span> and large storms during the Goni (2015) and Lionrock (2016) typhoons. <span class="hlt">Tsunami</span> deposits from 1983 and 1993 were found in the upper part of the sections. The inundation of the 1993 <span class="hlt">tsunami</span> did not exceed 20 m or a height of 0.5 m a.m.s.l. (0.3 above high tide). The more intensive <span class="hlt">tsunami</span> of 1983 had a run-up of 0.65 m a.m.s.l. and penetrated inland from the shoreline up to 40 m. Sand layer of <span class="hlt">tsunami</span> 1940 extend in land up to 50 m from the present shoreline. Evidence of six <span class="hlt">tsunamis</span> was elicited from the peat bog sections, the deposits of which are located 60 m from the modern coastal line. The deposits of strong historic <span class="hlt">tsunamis</span> in the Japan Sea region in 1833, 1741, 1614 (or 1644), 1448, the XIV-XV century and 1341 were also identified on Russian Island. Their run-ups and inundation distances were also determined. The strong historic <span class="hlt">tsunamis</span> appeared to be more intensive than those of the XX century, and considering the sea level drop during the Little Ice Age, the inundation distances were as large as 250 m.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUFMNH34A..02T','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUFMNH34A..02T"><span>Does Morphological Adjustment During <span class="hlt">Tsunami</span> Inundation Increase Levels of Hazard?</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Tehranirad, B.; Kirby, J. T., Jr.; Shi, F.; Grilli, S. T.</p> <p>2016-12-01</p> <p>Previous inundation mapping results for the US East Coast have shown that barrier islands would be among the most impacted areas during a possible <span class="hlt">tsunami</span>. Many of these barriers are home to large population centers such as Atlantic City, NJ and Ocean City, MD. A <span class="hlt">tsunami</span> can significantly change coastal morphology. Post-<span class="hlt">tsunami</span> surveys have shown that large amounts of sediment can be moved in bays and estuaries by <span class="hlt">tsunami</span> action, especially over coastal dunes. During <span class="hlt">tsunami</span> inundation, large amounts of sediment have been eroded from sandy coasts and deposited further onshore. In some cases, sand dunes have been completely eroded by a <span class="hlt">tsunami</span>, with the eroded sediment being deposited either onshore behind the dunes, or offshore during the rundown process. Given the potential for <span class="hlt">tsunamis</span> to change coastal morphology, it is necessary to consider whether barrier island morphology change during inundation, if accounted for, would increase the assessment of <span class="hlt">tsunami</span> hazard identified in the development of inundation and evacuation maps. In this presentation, we will show the results of our recent study on the morphological response of barrier islands during possible <span class="hlt">tsunamis</span> that threaten the US East Coast. For this purpose, we have coupled the Boussinesq model FUNWAVE-TVD with a depth-averaged advection-diffusion sediment transport model and a morphology module to capture bed evolution under <span class="hlt">tsunami</span> conditions. The model is verified in comparison to laboratory observations and to observed erosion/deposition patterns in Crescent City, CA harbor during the 2011 Tohoku-oki <span class="hlt">tsunami</span>. We then use the model to study the effect of morphology change on predicted inundation limits for two barrier islands: the undeveloped Assateague Island, and the developed Ocean City, MD, using the <span class="hlt">tsunami</span> sources utilized in previous hazard analysis. Our results suggest that significant bathymetric changes could be expected on a barrier island during <span class="hlt">tsunami</span> inundation, leading to large</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018PApGe.tmp.1258R','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018PApGe.tmp.1258R"><span>Historical <span class="hlt">Tsunami</span> Records on Russian Island, the Sea of Japan</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Razjigaeva, N. G.; Ganzey, L. A.; Grebennikova, T. A.; Arslanov, Kh. A.; Ivanova, E. D.; Ganzey, K. S.; Kharlamov, A. A.</p> <p>2018-03-01</p> <p>In this article, we provide data evidencing <span class="hlt">tsunamis</span> on Russian Island over the last 700 years. Reconstructions are developed based on the analyses of peat bog sections on the coast of Spokoynaya Bay, including layers of <span class="hlt">tsunami</span> sands. Ancient beach sands under peat were deposited during the final phase of transgression of the Medieval Warm Period. We used data on diatoms and benthic foraminifers to identify the marine origin of the sands. The grain size compositions of the <span class="hlt">tsunami</span> deposits were used to determine the sources of material carried by the <span class="hlt">tsunamis</span>. The chronology of historical <span class="hlt">tsunamis</span> was determined based on the radiocarbon dating of the underlying organic deposits. There was a stated difference between the deposition environments during <span class="hlt">tsunamis</span> and large storms during the Goni (2015) and Lionrock (2016) typhoons. <span class="hlt">Tsunami</span> deposits from 1983 and 1993 were found in the upper part of the sections. The inundation of the 1993 <span class="hlt">tsunami</span> did not exceed 20 m or a height of 0.5 m a.m.s.l. (0.3 above high tide). The more intensive <span class="hlt">tsunami</span> of 1983 had a run-up of 0.65 m a.m.s.l. and penetrated inland from the shoreline up to 40 m. Sand layer of <span class="hlt">tsunami</span> 1940 extend in land up to 50 m from the present shoreline. Evidence of six <span class="hlt">tsunamis</span> was elicited from the peat bog sections, the deposits of which are located 60 m from the modern coastal line. The deposits of strong historic <span class="hlt">tsunamis</span> in the Japan Sea region in 1833, 1741, 1614 (or 1644), 1448, the XIV-XV century and 1341 were also identified on Russian Island. Their run-ups and inundation distances were also determined. The strong historic <span class="hlt">tsunamis</span> appeared to be more intensive than those of the XX century, and considering the sea level drop during the Little Ice Age, the inundation distances were as large as 250 m.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014PApGe.171.3493K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014PApGe.171.3493K"><span>Relationship Between Maximum <span class="hlt">Tsunami</span> Amplitude and Duration of Signal</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Kim, Yoo Yin; Whitmore, Paul M.</p> <p>2014-12-01</p> <p>All available <span class="hlt">tsunami</span> observations at tide gauges situated along the North American coast were examined to determine if there is any clear relationship between maximum amplitude and signal duration. In total, 89 historical <span class="hlt">tsunami</span> recordings generated by 13 major earthquakes between 1952 and 2011 were investigated. Tidal variations were filtered out of the signal and the duration between the arrival time and the time at which the signals drops and stays below 0.3 m amplitude was computed. The processed <span class="hlt">tsunami</span> time series were evaluated and a linear least-squares fit with a 95 % confidence interval was examined to compare <span class="hlt">tsunami</span> durations with maximum <span class="hlt">tsunami</span> amplitude in the study region. The confidence interval is roughly 20 h over the range of maximum <span class="hlt">tsunami</span> amplitudes in which we are interested. This relatively large confidence interval likely results from variations in local resonance effects, late-arriving reflections, and other effects.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016EGUGA..1817152B','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016EGUGA..1817152B"><span><span class="hlt">Tsunami</span> Evacuation Plan for the City of Tangier-Morocco</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Benchekroun, Sabah; Omira, Rachid; Baptista, Maria Ana; Arbi Toto, El</p> <p>2016-04-01</p> <p><span class="hlt">Tsunami</span> evacuation plan is an important tool to mitigate the <span class="hlt">tsunami</span> impact. It is the most efficient way to save human lives, well before the waves reach the threatened coastal area, by providing evacuation routes and appropriate shelters. In this study, we propose a <span class="hlt">tsunami</span> evacuation plan for the city of Tangier-Morocco. This plan is designed considering the <span class="hlt">tsunami</span> threat from the tsunamigenic sources located in the SW Iberia Margin and using the inundation maps of the worst case to define the limit of flooding area. The evacuation plan is elaborated through modelling the required time for the threatened coastal population to reach the shelters. Results of this study will be useful for decision makers and local authorities in preventing the community resiliency for <span class="hlt">tsunami</span> hazard. This work received funding from collaborative project ASTARTE - Assessment Strategy and Risk Reduction for <span class="hlt">Tsunamis</span> in Europe Grant 603839, FP7.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018E%26ES..148a2003J','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018E%26ES..148a2003J"><span>Spatial modelling for <span class="hlt">tsunami</span> evacuation route in Parangtritis Village</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Juniansah, A.; Tyas, B. I.; Tama, G. C.; Febriani, K. R.; Farda, N. M.</p> <p>2018-04-01</p> <p><span class="hlt">Tsunami</span> is a series of huge sea waves that commonly occurs because of the oceanic plate movement or tectonic activity under the sea. As a sudden hazard, the <span class="hlt">tsunami</span> has damaged many people over the years. Parangtritis village is one of high <span class="hlt">tsunami</span> hazard risk area in Indonesia which needs an effective <span class="hlt">tsunami</span> risk reduction. This study aims are modelling a <span class="hlt">tsunami</span> susceptibility map, existing assembly points evaluation, and suggesting effective evacuation routes. The susceptibility map was created using ALOS PALSAR DEM and surface roughness coefficient. The method of <span class="hlt">tsunami</span> modelling employed inundation model developed by Berryman (2006). The results are used to determine new assembly points based on the Sentinel 2A imagery and to determine the most effective evacuation route by using network analyst. This model can be used to create detailed scale of evacuation route, but unrepresentative for assembly point that far from road network.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.er.usgs.gov/publication/70032527','USGSPUBS'); return false;" href="https://pubs.er.usgs.gov/publication/70032527"><span><span class="hlt">Tsunami</span> probability in the Caribbean Region</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Parsons, T.; Geist, E.L.</p> <p>2008-01-01</p> <p>We calculated <span class="hlt">tsunami</span> runup probability (in excess of 0.5 m) at coastal sites throughout the Caribbean region. We applied a Poissonian probability model because of the variety of uncorrelated <span class="hlt">tsunami</span> sources in the region. Coastlines were discretized into 20 km by 20 km cells, and the mean <span class="hlt">tsunami</span> runup rate was determined for each cell. The remarkable ???500-year empirical record compiled by O'Loughlin and Lander (2003) was used to calculate an empirical <span class="hlt">tsunami</span> probability map, the first of three constructed for this study. However, it is unclear whether the 500-year record is complete, so we conducted a seismic moment-balance exercise using a finite-element model of the Caribbean-North American plate boundaries and the earthquake catalog, and found that moment could be balanced if the seismic coupling coefficient is c = 0.32. Modeled moment release was therefore used to generate synthetic earthquake sequences to calculate 50 <span class="hlt">tsunami</span> runup scenarios for 500-year periods. We made a second probability map from numerically-calculated runup rates in each cell. Differences between the first two probability maps based on empirical and numerical-modeled rates suggest that each captured different aspects of <span class="hlt">tsunami</span> generation; the empirical model may be deficient in primary plate-boundary events, whereas numerical model rates lack backarc fault and landslide sources. We thus prepared a third probability map using Bayesian likelihood functions derived from the empirical and numerical rate models and their attendant uncertainty to weight a range of rates at each 20 km by 20 km coastal cell. Our best-estimate map gives a range of 30-year runup probability from 0 - 30% regionally. ?? irkhaueser 2008.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://www.dtic.mil/docs/citations/ADA567535','DTIC-ST'); return false;" href="http://www.dtic.mil/docs/citations/ADA567535"><span><span class="hlt">Tsunami</span> Propagation Models Based on First Principles</span></a></p> <p><a target="_blank" href="http://www.dtic.mil/">DTIC Science & Technology</a></p> <p></p> <p>2012-11-21</p> <p>geodesic lines from the epicenter shown in the figure are great circles with a longitudinal separation of 90o, which define a ‘ lune ’ that covers one...past which the waves begin to converge according to Model C. A <span class="hlt">tsunami</span> propagating in this lune does not encounter any continental landmass until...2011 Japan <span class="hlt">tsunami</span> in a lune of angle 90o with wavefronts at intervals of 5,000 km The 2011 Japan <span class="hlt">tsunami</span> was felt throughout the Pacific Ocean</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014AGUFMNH12A..03H','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014AGUFMNH12A..03H"><span>Nationwide <span class="hlt">tsunami</span> hazard assessment project in Japan</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Hirata, K.; Fujiwara, H.; Nakamura, H.; Osada, M.; Ohsumi, T.; Morikawa, N.; Kawai, S.; Aoi, S.; Yamamoto, N.; Matsuyama, H.; Toyama, N.; Kito, T.; Murashima, Y.; Murata, Y.; Inoue, T.; Saito, R.; Akiyama, S.; Korenaga, M.; Abe, Y.; Hashimoto, N.</p> <p>2014-12-01</p> <p>In 2012, we began a project of nationwide Probabilistic <span class="hlt">Tsunami</span> Hazard Assessment (PTHA) in Japan to support various measures (Fujiwara et al., 2013, JpGU; Hirata et al., 2014, AOGS). The most important strategy in the nationwide PTHA is predominance of aleatory uncertainty in the assessment but use of epistemic uncertainty is limited to the minimum, because the number of all possible combinations among epistemic uncertainties diverges quickly when the number of epistemic uncertainties in the assessment increases ; we consider only a type of earthquake occurrence probability distribution as epistemic uncertainty. We briefly show outlines of the nationwide PTHA as follows; (i) we consider all possible earthquakes in the future, including those that the Headquarters for Earthquake Research Promotion (HERP) of Japanese Government, already assessed. (ii) We construct a set of simplified earthquake fault models, called "Characterized Earthquake Fault Models (CEFMs)", for all of the earthquakes by following prescribed rules (Toyama et al., 2014, JpGU; Korenaga et al., 2014, JpGU). (iii) For all of initial water surface distributions caused by a number of the CEFMs, we calculate <span class="hlt">tsunamis</span> by solving a nonlinear long wave equation, using FDM, including runup calculation, over a nesting grid system with a minimum grid size of 50 meters. (iv) Finally, we integrate information about the <span class="hlt">tsunamis</span> calculated from the numerous CEFMs to get nationwide <span class="hlt">tsunami</span> hazard assessments. One of the most popular representations of the integrated information is a <span class="hlt">tsunami</span> hazard curve for coastal <span class="hlt">tsunami</span> heights, incorporating uncertainties inherent in <span class="hlt">tsunami</span> simulation and earthquake fault slip heterogeneity (Abe et al., 2014, JpGU). We will show a PTHA along the eastern coast of Honshu, Japan, based on approximately 1,800 <span class="hlt">tsunami</span> sources located within the subduction zone along the Japan Trench, as a prototype of the nationwide PTHA. This study is supported by part of the research</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.usgs.gov/of/2014/1024/pdf/ofr2014-1024.pdf','USGSPUBS'); return false;" href="https://pubs.usgs.gov/of/2014/1024/pdf/ofr2014-1024.pdf"><span>The 1946 Unimak <span class="hlt">Tsunami</span> Earthquake Area: revised tectonic structure in reprocessed seismic images and a suspect near field <span class="hlt">tsunami</span> source</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Miller, John J.; von Huene, Roland E.; Ryan, Holly F.</p> <p>2014-01-01</p> <p>In 1946 at Unimak Pass, Alaska, a <span class="hlt">tsunami</span> destroyed the lighthouse at Scotch Cap, Unimak Island, took 159 lives on the Hawaiian Islands, damaged island coastal facilities across the south Pacific, and destroyed a hut in Antarctica. The <span class="hlt">tsunami</span> magnitude of 9.3 is comparable to the magnitude 9.1 <span class="hlt">tsunami</span> that devastated the Tohoku coast of Japan in 2011. Both causative earthquake epicenters occurred in shallow reaches of the subduction zone. Contractile tectonism along the Alaska margin presumably generated the far-field <span class="hlt">tsunami</span> by producing a seafloor elevation change. However, the Scotch Cap lighthouse was destroyed by a near-field <span class="hlt">tsunami</span> that was probably generated by a coeval large undersea landslide, yet bathymetric surveys showed no fresh large landslide scar. We investigated this problem by reprocessing five seismic lines, presented here as high-resolution graphic images, both uninterpreted and interpreted, and available for the reader to download. In addition, the processed seismic data for each line are available for download as seismic industry-standard SEG-Y files. One line, processed through prestack depth migration, crosses a 10 × 15 kilometer and 800-meter-high hill presumed previously to be basement, but that instead is composed of stratified rock superimposed on the slope sediment. This image and multibeam bathymetry illustrate a slide block that could have sourced the 1946 near-field <span class="hlt">tsunami</span> because it is positioned within a distance determined by the time between earthquake shaking and the <span class="hlt">tsunami</span> arrival at Scotch Cap and is consistent with the local extent of high runup of 42 meters along the adjacent Alaskan coast. The Unimak/Scotch Cap margin is structurally similar to the 2011 Tohoku tsunamigenic margin where a large landslide at the trench, coeval with the Tohoku earthquake, has been documented. Further study can improve our understanding of <span class="hlt">tsunami</span> sources along Alaska’s erosional margins.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017JOUC...16..437D','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017JOUC...16..437D"><span>Long-term statistics of extreme <span class="hlt">tsunami</span> height at Crescent City</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Dong, Sheng; Zhai, Jinjin; Tao, Shanshan</p> <p>2017-06-01</p> <p>Historically, Crescent City is one of the most vulnerable communities impacted by <span class="hlt">tsunamis</span> along the west coast of the United States, largely attributed to its offshore geography. Trans-ocean <span class="hlt">tsunamis</span> usually produce large wave runup at Crescent Harbor resulting in catastrophic damages, property loss and human death. How to determine the return values of <span class="hlt">tsunami</span> height using relatively short-term observation data is of great significance to assess the <span class="hlt">tsunami</span> hazards and improve engineering design along the coast of Crescent City. In the present study, the extreme <span class="hlt">tsunami</span> heights observed along the coast of Crescent City from 1938 to 2015 are fitted using six different probabilistic distributions, namely, the Gumbel distribution, the Weibull distribution, the maximum entropy distribution, the lognormal distribution, the generalized extreme value distribution and the generalized Pareto distribution. The maximum likelihood method is applied to estimate the parameters of all above distributions. Both Kolmogorov-Smirnov test and root mean square error method are utilized for goodness-of-fit test and the better fitting distribution is selected. Assuming that the occurrence frequency of <span class="hlt">tsunami</span> in each year follows the Poisson distribution, the Poisson compound extreme value distribution can be used to fit the annual maximum <span class="hlt">tsunami</span> amplitude, and then the point and interval estimations of return <span class="hlt">tsunami</span> heights are calculated for structural design. The results show that the Poisson compound extreme value distribution fits <span class="hlt">tsunami</span> heights very well and is suitable to determine the return <span class="hlt">tsunami</span> heights for coastal disaster prevention.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/biblio/21148986-tsunami-wave-submerged-breakwater-interaction','SCIGOV-STC'); return false;" href="https://www.osti.gov/biblio/21148986-tsunami-wave-submerged-breakwater-interaction"><span>On the <span class="hlt">tsunami</span> wave-submerged breakwater interaction</span></a></p> <p><a target="_blank" href="http://www.osti.gov/search">DOE Office of Scientific and Technical Information (OSTI.GOV)</a></p> <p>Filianoti, P.; Piscopo, R.</p> <p></p> <p>The <span class="hlt">tsunami</span> wave loads on a submerged rigid breakwater are inertial. It is the result arising from the simple calculation method here proposed, and it is confirmed by the comparison with results obtained by other researchers. The method is based on the estimate of the speed drop of the <span class="hlt">tsunami</span> wave passing over the breakwater. The calculation is rigorous for a sinusoidal wave interacting with a rigid submerged obstacle, in the framework of the linear wave theory. This new approach gives a useful and simple tool for estimating <span class="hlt">tsunami</span> loads on submerged breakwaters.An unexpected novelty come out from a workedmore » example: assuming the same wave height, storm waves are more dangerous than <span class="hlt">tsunami</span> waves, for the safety against sliding of submerged breakwaters.« less</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.usgs.gov/of/2013/1170/','USGSPUBS'); return false;" href="https://pubs.usgs.gov/of/2013/1170/"><span>The SAFRR (Science Application for Risk Reduction) <span class="hlt">Tsunami</span> Scenario</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Ross, Stephanie L.; Jones, Lucile M.</p> <p>2013-01-01</p> <p>The Science Application for Risk Reduction (SAFRR) <span class="hlt">tsunami</span> scenario depicts a hypothetical but plausible <span class="hlt">tsunami</span> created by an earthquake offshore from the Alaska Peninsula and its impacts on the California coast. The <span class="hlt">tsunami</span> scenario is a collaboration between the U.S. Geological Survey (USGS), the California Geological Survey (CGS), the California Governor’s Office of Emergency Services (Cal OES), the National Oceanic and Atmospheric Administration (NOAA), other Federal, State, County, and local agencies, private companies, and academic and other institutions. This document presents evidence for past <span class="hlt">tsunamis</span>, the scientific basis for the source, likely inundation areas, current velocities in key ports and harbors, physical damage and repair costs, economic consequences, environmental and ecological impacts, social vulnerability, emergency management and evacuation challenges, and policy implications for California associated with this hypothetical <span class="hlt">tsunami</span>. We also discuss ongoing mitigation efforts by the State of California and new communication products. The intended users are those who need to make mitigation decisions before future <span class="hlt">tsunamis</span>, and those who will need to make rapid decisions during <span class="hlt">tsunami</span> events. The results of the <span class="hlt">tsunami</span> scenario will help managers understand the context and consequences of their decisions and how they may improve preparedness and response. An evaluation component will assess the effectiveness of the scenario process for target stakeholders in a separate report to improve similar efforts in the future.</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_18");'>18</a></li> <li><a href="#" onclick='return showDiv("page_19");'>19</a></li> <li class="active"><span>20</span></li> <li><a href="#" onclick='return showDiv("page_21");'>21</a></li> <li><a href="#" onclick='return showDiv("page_22");'>22</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_20 --> <div id="page_21" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_19");'>19</a></li> <li><a href="#" onclick='return showDiv("page_20");'>20</a></li> <li class="active"><span>21</span></li> <li><a href="#" onclick='return showDiv("page_22");'>22</a></li> <li><a href="#" onclick='return showDiv("page_23");'>23</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="401"> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015PApGe.172.1679L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015PApGe.172.1679L"><span>Advanced <span class="hlt">Tsunami</span> Numerical Simulations and Energy Considerations by use of 3D-2D Coupled Models: The October 11, 1918, Mona Passage <span class="hlt">Tsunami</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>López-Venegas, Alberto M.; Horrillo, Juan; Pampell-Manis, Alyssa; Huérfano, Victor; Mercado, Aurelio</p> <p>2015-06-01</p> <p>The most recent <span class="hlt">tsunami</span> observed along the coast of the island of Puerto Rico occurred on October 11, 1918, after a magnitude 7.2 earthquake in the Mona Passage. The earthquake was responsible for initiating a <span class="hlt">tsunami</span> that mostly affected the northwestern coast of the island. Runup values from a post-<span class="hlt">tsunami</span> survey indicated the waves reached up to 6 m. A controversy regarding the source of the <span class="hlt">tsunami</span> has resulted in several numerical simulations involving either fault rupture or a submarine landslide as the most probable cause of the <span class="hlt">tsunami</span>. Here we follow up on previous simulations of the <span class="hlt">tsunami</span> from a submarine landslide source off the western coast of Puerto Rico as initiated by the earthquake. Improvements on our previous study include: (1) higher-resolution bathymetry; (2) a 3D-2D coupled numerical model specifically developed for the <span class="hlt">tsunami</span>; (3) use of the non-hydrostatic numerical model NEOWAVE (non-hydrostatic evolution of ocean WAVE) featuring two-way nesting capabilities; and (4) comprehensive energy analysis to determine the time of full <span class="hlt">tsunami</span> wave development. The three-dimensional Navier-Stokes model <span class="hlt">tsunami</span> solution using the Navier-Stokes algorithm with multiple interfaces for two fluids (water and landslide) was used to determine the initial wave characteristic generated by the submarine landslide. Use of NEOWAVE enabled us to solve for coastal inundation, wave propagation, and detailed runup. Our results were in agreement with previous work in which a submarine landslide is favored as the most probable source of the <span class="hlt">tsunami</span>, and improvement in the resolution of the bathymetry yielded inundation of the coastal areas that compare well with values from a post-<span class="hlt">tsunami</span> survey. Our unique energy analysis indicates that most of the wave energy is isolated in the wave generation region, particularly at depths near the landslide, and once the initial wave propagates from the generation region its energy begins to stabilize.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017ISPAr42W7..461D','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017ISPAr42W7..461D"><span><span class="hlt">Tsunami</span> Risk Assessment Modelling in Chabahar Port, Iran</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Delavar, M. R.; Mohammadi, H.; Sharifi, M. A.; Pirooz, M. D.</p> <p>2017-09-01</p> <p>The well-known historical <span class="hlt">tsunami</span> in the Makran Subduction Zone (MSZ) region was generated by the earthquake of November 28, 1945 in Makran Coast in the North of Oman Sea. This destructive <span class="hlt">tsunami</span> killed over 4,000 people in Southern Pakistan and India, caused great loss of life and devastation along the coasts of Western India, Iran and Oman. According to the report of "Remembering the 1945 Makran <span class="hlt">Tsunami</span>", compiled by the Intergovernmental Oceanographic Commission (UNESCO/IOC), the maximum inundation of Chabahar port was 367 m toward the dry land, which had a height of 3.6 meters from the sea level. In addition, the maximum amount of inundation at Pasni (Pakistan) reached to 3 km from the coastline. For the two beaches of Gujarat (India) and Oman the maximum run-up height was 3 m from the sea level. In this paper, we first use Makran 1945 seismic parameters to simulate the <span class="hlt">tsunami</span> in generation, propagation and inundation phases. The effect of <span class="hlt">tsunami</span> on Chabahar port is simulated using the ComMIT model which is based on the Method of Splitting <span class="hlt">Tsunami</span> (MOST). In this process the results are compared with the documented eyewitnesses and some reports from researchers for calibration and validation of the result. Next we have used the model to perform risk assessment for Chabahar port in the south of Iran with the worst case scenario of the <span class="hlt">tsunami</span>. The simulated results showed that the <span class="hlt">tsunami</span> waves will reach Chabahar coastline 11 minutes after generation and 9 minutes later, over 9.4 Km2 of the dry land will be flooded with maximum wave amplitude reaching up to 30 meters.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2006AGUFMIN22A..03K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2006AGUFMIN22A..03K"><span>A <span class="hlt">Tsunami</span>-Focused Tide Station Data Sharing Framework</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Kari, U. S.; Marra, J. J.; Weinstein, S. A.</p> <p>2006-12-01</p> <p>The Indian Ocean <span class="hlt">Tsunami</span> of 26 December 2004 made it clear that information about tide stations that could be used to support detection and warning (such as location, collection and transmission capabilities, operator identification) are insufficiently known or not readily accessible. Parties interested in addressing this problem united under the Pacific Region Data Integrated Data Enterprise (PRIDE), and in 2005 began a multiyear effort to develop a distributed metadata system describing tide stations starting with pilot activities in a regional framework and focusing on <span class="hlt">tsunami</span> detection and warning systems being developed by various agencies. First, a plain semantic description of the <span class="hlt">tsunami</span>-focused tide station metadata was developed. The semantic metadata description was, in turn, developed into a formal metadata schema championed by International <span class="hlt">Tsunami</span> Information Centre (ITIC) as part of a larger effort to develop a prototype web service under the PRIDE program in 2005. Under the 2006 PRIDE program the formal metadata schema was then expanded to corral input parameters for the TideTool application used by Pacific <span class="hlt">Tsunami</span> Warning Center (PTWC) to drill down into wave activity at a tide station that is located using a web service developed on this metadata schema. This effort contributed to formalization of web service dissemination of PTWC watch and warning <span class="hlt">tsunami</span> bulletins. During this time, the data content and sharing <span class="hlt">issues</span> embodied in this schema have been discussed at various forums. The result is that the various stakeholders have different data provider and user perspectives (semantic content) and also exchange formats (not limited to just XML). The challenge then, is not only to capture all data requirements, but also to have formal representation that is easily transformed into any specified format. The latest revision of the tide gauge schema (Version 0.3), begins to address this challenge. It encompasses a broader range of provider and user</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AIPC.1870d0009K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AIPC.1870d0009K"><span>Modeling the mitigation effect of coastal forests on <span class="hlt">tsunami</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Kh'ng, Xin Yi; Teh, Su Yean; Koh, Hock Lye</p> <p>2017-08-01</p> <p>As we have learned from the 26 Dec 2004 mega Andaman <span class="hlt">tsunami</span> that killed 250, 000 lives worldwide, <span class="hlt">tsunami</span> is a devastating natural disaster that can cause severe impacts including immense loss of human lives and extensive destruction of properties. The wave energy can be dissipated by the presence of coastal mangrove forests, which provide some degree of protection against <span class="hlt">tsunami</span> waves. On the other hand, costly artificial structures such as reinforced walls can substantially diminish the aesthetic value and may cause environmental problems. To quantify the effectiveness of coastal forests in mitigating <span class="hlt">tsunami</span> waves, an in-house 2-D model TUNA-RP is developed and used to quantify the reduction in wave heights and velocities due to the presence of coastal forests. The degree of reduction varies significantly depending on forest flow-resistant properties such as vegetation characteristics, forest density and forest width. The ability of coastal forest in reducing <span class="hlt">tsunami</span> wave heights along the west coast of Penang Island is quantified by means of model simulations. Comparison between measured <span class="hlt">tsunami</span> wave heights for the 2004 Andaman <span class="hlt">tsunami</span> and 2-D TUNA-RP model simulated values demonstrated good agreement.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/1988EOSTr..69..649B','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/1988EOSTr..69..649B"><span>On mitigating rapid onset natural disasters: Project THRUST (<span class="hlt">Tsunami</span> Hazards Reduction Utilizing Systems Technology)</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Bernard, E. N.; Behn, R. R.; Hebenstreit, G. T.; Gonzalez, F. I.; Krumpe, P.; Lander, J. F.; Lorca, E.; McManamon, P. M.; Milburn, H. B.</p> <p></p> <p>Rapid onset natural hazards have claimed more than 2.8 million lives worldwide in the past 20 years. This category includes such events as earthquakes, landslides, hurricanes, tornados, floods, volcanic eruptions, wildfires, and <span class="hlt">tsunamis</span>. Effective hazard mitigation is particularly difficult in such cases, since the time available to <span class="hlt">issue</span> warnings can be very short or even nonexistent. This paper presents the concept of a local warning system that exploits and integrates the existing technologies of risk evaluation, environmental measurement, and telecommunications. We describe Project THRUST, a successful implementation of this general, systematic approach to <span class="hlt">tsunamis</span>. The general approach includes pre-event emergency planning, real-time hazard assessment, and rapid warning via satellite communication links.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2006GeoRL..3323612K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2006GeoRL..3323612K"><span>Coral reefs reduce <span class="hlt">tsunami</span> impact in model simulations</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Kunkel, Catherine M.; Hallberg, Robert W.; Oppenheimer, Michael</p> <p>2006-12-01</p> <p>Significant buffering of the impact of <span class="hlt">tsunamis</span> by coral reefs is suggested by limited observations and some anecdotal reports, particularly following the 2004 Indian Ocean <span class="hlt">tsunami</span>. Here we simulate <span class="hlt">tsunami</span> run-up on idealized topographies in one and two dimensions using a nonlinear shallow water model and show that a sufficiently wide barrier reef within a meter or two of the surface reduces run-up on land on the order of 50%. We studied topographies representative of volcanic islands (islands with no continental shelf) but our conclusions may pertain to other topographies. Effectiveness depends on the amplitude and wavelength of the incident <span class="hlt">tsunami</span>, as well as the geometry and health of the reef and the offshore distance of the reef. Reducing the threat to reefs from anthropogenic nutrients, sedimentation, fishing practices, channel-building, and global warming would help to protect some islands against <span class="hlt">tsunamis</span>.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013AGUFMNH53A..06R','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013AGUFMNH53A..06R"><span><span class="hlt">Tsunami</span> Rapid Assessment Using High Resolution Images and Field Surveys: the 2010 , Central Chile, and the 2011, Tohoku <span class="hlt">Tsunamis</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Ramirez-Herrera, M.; Navarrete-Pacheco, J.; Lagos, M.; Arcas, D.</p> <p>2013-12-01</p> <p>Recent extreme <span class="hlt">tsunamis</span> have shown their major socioeconomic impact and imprint in the coastal landscape. Extensive destruction, erosion, sediment transport and deposition resculpted coastal landscape within few minutes along hundreds of kilometers of the Central Chile, in 2010, and the Northeast coast of Japan, in 2011. In the central coast of Chile, we performed a post-<span class="hlt">tsunami</span> survey a week after the <span class="hlt">tsunami</span> due to access restrictions. Our observations focus on the inundation and geomorphic effects of the 2010 <span class="hlt">tsunami</span> and included an air reconnaissance flight, analysis of pre- and post-event low fly air-photographs and Google Earth satellite images, together with ground reconnaissance and mapping in the field, including topographic transects, during a period of 13 days. Eyewitness accounts enabled us to confirm our observations on effects produced by the <span class="hlt">tsunami</span> along ~ 500km along the coastline landscape in central Chile For the Tohoku case study, we assessed in a day <span class="hlt">tsunami</span> inundation distances and runup heights using satellite data (very high resolution satellite images from the GeoEye1 satellite and from the DigitalGlobe worldview through the Google crisis response project, SRTM and ASTER GDEM) of the Tohoku region, Northeast Japan. Field survey data by Japanese, other international scientists and us validated our results. The rapid assessment of damage using high-resolution images has proven to be an excellent tool neccessary for effcient postsunami surveys as well as for rapid assessment of areas with access restrictions. All countries, in particular those with less access to technology and infrastructure, can benefit from the use of freely available satellite imagery and DEMs for an initial, pre-field survey, rapid estimate of inundated areas, distances and runup, <span class="hlt">tsunami</span> effects in the coastal geomorphology and for assisting in hazard management and mitigation after a natural disaster. These data provide unprecedented opportunities for rapid assessment</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.er.usgs.gov/publication/70155821','USGSPUBS'); return false;" href="https://pubs.er.usgs.gov/publication/70155821"><span>Community clusters of <span class="hlt">tsunami</span> vulnerability in the US Pacific Northwest</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Wood, Nathan J.; Jones, Jeanne M.; Spielman, Seth; Schmidtlein, Mathew C.</p> <p>2015-01-01</p> <p>Many coastal communities throughout the world are threatened by local (or near-field) <span class="hlt">tsunamis</span> that could inundate low-lying areas in a matter of minutes after generation. Although the hazard and sustainability literature often frames vulnerability conceptually as a multidimensional <span class="hlt">issue</span> involving exposure, sensitivity, and resilience to a hazard, assessments often focus on one element or do not recognize the hazard context. We introduce an analytical framework for describing variations in population vulnerability to <span class="hlt">tsunami</span> hazards that integrates (i) geospatial approaches to identify the number and characteristics of people in hazard zones, (ii) anisotropic path distance models to estimate evacuation travel times to safety, and (iii) cluster analysis to classify communities with similar vulnerability. We demonstrate this approach by classifying 49 incorporated cities, 7 tribal reservations, and 17 counties from northern California to northern Washington that are directly threatened by <span class="hlt">tsunami</span> waves associated with a Cascadia subduction zone earthquake. Results suggest three primary community groups: (i) relatively low numbers of exposed populations with varied demographic sensitivities, (ii) high numbers of exposed populations but sufficient time to evacuate before wave arrival, and (iii) moderate numbers of exposed populations but insufficient time to evacuate. Results can be used to enhance general hazard-awareness efforts with targeted interventions, such as education and outreach tailored to local demographics, evacuation training, and/or vertical evacuation refuges.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/25870283','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/25870283"><span>Community clusters of <span class="hlt">tsunami</span> vulnerability in the US Pacific Northwest.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Wood, Nathan J; Jones, Jeanne; Spielman, Seth; Schmidtlein, Mathew C</p> <p>2015-04-28</p> <p>Many coastal communities throughout the world are threatened by local (or near-field) <span class="hlt">tsunamis</span> that could inundate low-lying areas in a matter of minutes after generation. Although the hazard and sustainability literature often frames vulnerability conceptually as a multidimensional <span class="hlt">issue</span> involving exposure, sensitivity, and resilience to a hazard, assessments often focus on one element or do not recognize the hazard context. We introduce an analytical framework for describing variations in population vulnerability to <span class="hlt">tsunami</span> hazards that integrates (i) geospatial approaches to identify the number and characteristics of people in hazard zones, (ii) anisotropic path distance models to estimate evacuation travel times to safety, and (iii) cluster analysis to classify communities with similar vulnerability. We demonstrate this approach by classifying 49 incorporated cities, 7 tribal reservations, and 17 counties from northern California to northern Washington that are directly threatened by <span class="hlt">tsunami</span> waves associated with a Cascadia subduction zone earthquake. Results suggest three primary community groups: (i) relatively low numbers of exposed populations with varied demographic sensitivities, (ii) high numbers of exposed populations but sufficient time to evacuate before wave arrival, and (iii) moderate numbers of exposed populations but insufficient time to evacuate. Results can be used to enhance general hazard-awareness efforts with targeted interventions, such as education and outreach tailored to local demographics, evacuation training, and/or vertical evacuation refuges.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=4418905','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=4418905"><span>Community clusters of <span class="hlt">tsunami</span> vulnerability in the US Pacific Northwest</span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Wood, Nathan J.; Jones, Jeanne; Spielman, Seth; Schmidtlein, Mathew C.</p> <p>2015-01-01</p> <p>Many coastal communities throughout the world are threatened by local (or near-field) <span class="hlt">tsunamis</span> that could inundate low-lying areas in a matter of minutes after generation. Although the hazard and sustainability literature often frames vulnerability conceptually as a multidimensional <span class="hlt">issue</span> involving exposure, sensitivity, and resilience to a hazard, assessments often focus on one element or do not recognize the hazard context. We introduce an analytical framework for describing variations in population vulnerability to <span class="hlt">tsunami</span> hazards that integrates (i) geospatial approaches to identify the number and characteristics of people in hazard zones, (ii) anisotropic path distance models to estimate evacuation travel times to safety, and (iii) cluster analysis to classify communities with similar vulnerability. We demonstrate this approach by classifying 49 incorporated cities, 7 tribal reservations, and 17 counties from northern California to northern Washington that are directly threatened by <span class="hlt">tsunami</span> waves associated with a Cascadia subduction zone earthquake. Results suggest three primary community groups: (i) relatively low numbers of exposed populations with varied demographic sensitivities, (ii) high numbers of exposed populations but sufficient time to evacuate before wave arrival, and (iii) moderate numbers of exposed populations but insufficient time to evacuate. Results can be used to enhance general hazard-awareness efforts with targeted interventions, such as education and outreach tailored to local demographics, evacuation training, and/or vertical evacuation refuges. PMID:25870283</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=4389648','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=4389648"><span>MORTALITY, THE FAMILY AND THE INDIAN OCEAN <span class="hlt">TSUNAMI</span></span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Frankenberg, Elizabeth; Gillespie, Thomas; Preston, Samuel; Sikoki, Bondan; Thomas, Duncan</p> <p>2015-01-01</p> <p>Over 130,000 people died in the 2004 Indian Ocean <span class="hlt">tsunami</span>. The correlates of survival are examined using data from the Study of the <span class="hlt">Tsunami</span> Aftermath and Recovery (STAR), a population-representative survey collected in Aceh and North Sumatra, Indonesia, before and after the <span class="hlt">tsunami</span>. Children, older adults and females were the least likely to survive. Whereas socio-economic factors mattered relatively little, the evidence is consistent with physical strength playing a role. Pre-<span class="hlt">tsunami</span> household composition is predictive of survival and suggests that stronger members sought to help weaker members: men helped their wives, parents and children, while women helped their children. PMID:25866413</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017EGUGA..19.3890M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017EGUGA..19.3890M"><span>Impact of earthquake-induced <span class="hlt">tsunamis</span> on public health</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Mavroulis, Spyridon; Mavrouli, Maria; Lekkas, Efthymios; Tsakris, Athanassios</p> <p>2017-04-01</p> <p><span class="hlt">Tsunamis</span> are caused by rapid sea floor displacement during earthquakes, landslides and large explosive eruptions in marine environment setting. Massive amounts of sea water in the form of devastating surface waves travelling hundreds of kilometers per hour have the potential to cause extensive damage to coastal infrastructures, considerable loss of life and injury and emergence of infectious diseases (ID). This study involved an extensive and systematic literature review of 50 research publications related to public health impact of the three most devastating <span class="hlt">tsunamis</span> of the last 12 years induced by great earthquakes, namely the 2004 Sumatra-Andaman earthquake (moment magnitude Mw 9.2), the 2009 Samoa earthquake (Mw 8.1) and the 2011 Tōhoku (Japan) earthquake (Mw 9.0) in the Indian, Western Pacific and South Pacific Oceans respectively. The inclusion criteria were literature type comprising journal articles and official reports, natural disaster type including <span class="hlt">tsunamis</span> induced only by earthquakes, population type including humans, and outcome measure characterized by disease incidence increase. The potential post-<span class="hlt">tsunami</span> ID are classified into 11 groups including respiratory, pulmonary, wound-related, water-borne, skin, vector-borne, eye, fecal-oral, food-borne, fungal and mite-borne ID. Respiratory infections were detected after all the above mentioned <span class="hlt">tsunamis</span>. Wound-related, skin and water-borne ID were observed after the 2004 and 2011 <span class="hlt">tsunamis</span>, while vector-borne, fecal-oral and eye ID were observed only after the 2004 <span class="hlt">tsunami</span> and pulmonary, food-borne and mite-borne ID were diagnosed only after the 2011 <span class="hlt">tsunami</span>. Based on available age and genre data, it is concluded that the most vulnerable population groups are males, children (age ≤ 15 years) and adults (age ≥ 65 years). Tetanus and pneumonia are the deadliest post-<span class="hlt">tsunami</span> ID. The detected risk factors include (1) lowest socioeconomic conditions, poorly constructed buildings and lack of prevention</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2012AGUFMNH31D..08T','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2012AGUFMNH31D..08T"><span><span class="hlt">Tsunami</span> hazard assessment along the U. S. East Coast</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Tajalli Bakhsh, T.; Grilli, S. T.; Harris, J. C.; Kirby, J. T.; Shi, F.; Tehranirad, B.</p> <p>2012-12-01</p> <p>In 2005, the National <span class="hlt">Tsunami</span> Hazard Mitigation Program (NTHMP) was tasked by Congress to develop <span class="hlt">tsunami</span> inundation maps for the entire US coastline. This work provides an overview of the modeling work related to the development inundation maps along the US east coast. In this region the paucity of historical <span class="hlt">tsunami</span> records and lack of paleotsunami observations yields a large uncertainty on the source and magnitude of potential extreme <span class="hlt">tsunami</span> events, and their related coastal hazard. In the Atlantic Ocean basin significant <span class="hlt">tsunami</span> hazard may result from far-field earthquakes, such as a repeat of the M8.9 Lisbon 1755 event in the Azores convergence zone, or a hypothetical extreme M9 earthquake in the Puerto Rico Trench (PRT). Additionally, it is believed that a repeat of one of the large historical collapses, identified at the toe of the Cumbre Vieja volcano on La Palma (Canary Islands; i.e., with a maximum volume of 450 km3), could pose a major <span class="hlt">tsunami</span> hazard to the entire US east coast. Finally, in the near-field, large submarine mass failure (SMF) scars have been mapped by USGS, particularly North of the Carolinas (e.g., Currituck), which are believed to have caused past <span class="hlt">tsunamis</span>. Large SMFs can be triggered by moderate seismicity (M7 or so), such as can occur on the east coast. In fact, one of the few historical <span class="hlt">tsunamis</span> that significantly affected this region was caused by the 1929 Grand Bank underwater slide, which was triggered by a M7.2 earthquake. In this work we identify and parameterize all potential <span class="hlt">tsunami</span> sources affecting the US east coast, and perform simulations of <span class="hlt">tsunami</span> generation, propagation, and coastal impact in a series of increasingly resolved nested grids. Following this methodology, <span class="hlt">tsunami</span> inundation maps are currently being developed for a few of the most affected areas. In simulations, we use a robust and well-validated Fully Nonlinear Boussinesq long-wave model (FUNWAVE-TVD), on Cartesian or spherical grids. Coseismic <span class="hlt">tsunami</span></p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AGUFMNH23A1856G','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AGUFMNH23A1856G"><span>First application of <span class="hlt">tsunami</span> back-projection and source inversion for the 2012 Haida Gwaii earthquake using <span class="hlt">tsunami</span> data recorded on a dense array of seafloor pressure gauges</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Gusman, A. R.; Satake, K.; Sheehan, A. F.; Mulia, I. E.; Heidarzadeh, M.; Maeda, T.</p> <p>2015-12-01</p> <p>Adaption of absolute or differential pressure gauges (APG or DPG) to Ocean Bottom Seismometers has provided the opportunity to study <span class="hlt">tsunamis</span>. Recently we extracted <span class="hlt">tsunami</span> waveforms of the 28 October 2012 Haida Gwaii earthquake recoded by the APG and DPG of Cascadia Initiative program (Sheehan et al., 2015, SRL). We applied such dense <span class="hlt">tsunami</span> observations (48 stations) together with other records from DARTs (9 stations) to characterize the <span class="hlt">tsunami</span> source. This study is the first study that used such a large number of offshore <span class="hlt">tsunami</span> records for earthquake source study. Conventionally the curves of <span class="hlt">tsunami</span> travel times are drawn backward from station locations to estimate the <span class="hlt">tsunami</span> source region. Here we propose a more advanced technique called <span class="hlt">tsunami</span> back-projection to estimate the source region. Our image produced by <span class="hlt">tsunami</span> back-projection has the largest value or <span class="hlt">tsunami</span> centroid that is very close to the epicenter and above the Queen Charlotte transform fault (QCF), whereas the negative values are mostly located east of Haida Gwaii in the Hecate Strait. By using <span class="hlt">tsunami</span> back-projection we avoid picking initial <span class="hlt">tsunami</span> phase which is a necessary step in the conventional method that is rather subjective. The slip distribution of the 2012 Haida Gwaii earthquake estimated by <span class="hlt">tsunami</span> waveform inversion shows large slip near the trench (4-5 m) and also on a plate interface southeast the epicenter (3-4 m) below QCF. From the slip distribution, the calculated seismic moment is 5.4 × 1020 N m (Mw 7.8). The steep bathymetry offshore Haida Gwaii and the horizontal movement caused by the earthquake possibly affects the sea surface deformation. The potential <span class="hlt">tsunami</span> energy calculated from the sea-surface deformation of pure faulting is 2.20 × 1013 J, while that from the bathymetry effect is 0.12 × 1013 J or about 5% of the total potential energy. The significant deformation above the steep slope is confirmed by another <span class="hlt">tsunami</span> inversion that disregards fault</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2010EGUGA..1215692T','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2010EGUGA..1215692T"><span>Preliminary numerical simulations of the 27 February 2010 Chile <span class="hlt">tsunami</span>: first results and hints in a <span class="hlt">tsunami</span> early warning perspective</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Tinti, S.; Tonini, R.; Armigliato, A.; Zaniboni, F.; Pagnoni, G.; Gallazzi, Sara; Bressan, Lidia</p> <p>2010-05-01</p> <p>The tsunamigenic earthquake (M 8.8) that occurred offshore central Chile on 27 February 2010 can be classified as a typical subduction-zone earthquake. The effects of the ensuing <span class="hlt">tsunami</span> have been devastating along the Chile coasts, and especially between the cities of Valparaiso and Talcahuano, and in the Juan Fernandez islands. The <span class="hlt">tsunami</span> propagated across the entire Pacific Ocean, hitting with variable intensity almost all the coasts facing the basin. While the far-field propagation was quite well tracked almost in real-time by the warning centres and reasonably well reproduced by the forecast models, the toll of lives and the severity of the damage caused by the <span class="hlt">tsunami</span> in the near-field occurred with no local alert nor warning and sadly confirms that the protection of the communities placed close to the <span class="hlt">tsunami</span> sources is still an unresolved problem in the <span class="hlt">tsunami</span> early warning field. The purpose of this study is two-fold. On one side we perform numerical simulations of the <span class="hlt">tsunami</span> starting from different earthquake models which we built on the basis of the preliminary seismic parameters (location, magnitude and focal mechanism) made available by the seismological agencies immediately after the event, or retrieved from more detailed and refined studies published online in the following days and weeks. The comparison with the available records of both offshore DART buoys and coastal tide-gauges is used to put some preliminary constraints on the best-fitting fault model. The numerical simulations are performed by means of the finite-difference code UBO-TSUFD, developed and maintained by the <span class="hlt">Tsunami</span> Research Team of the University of Bologna, Italy, which can solve both the linear and non-linear versions of the shallow-water equations on nested grids. The second purpose of this study is to use the conclusions drawn in the previous part in a <span class="hlt">tsunami</span> early warning perspective. In the framework of the EU-funded project DEWS (Distant Early Warning System), we will</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/28419899','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/28419899"><span>The long term <span class="hlt">tsunami</span> impact: Evolution of iron speciation and major elements concentration in <span class="hlt">tsunami</span> deposits from Thailand.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Kozak, Lidia; Niedzielski, Przemyslaw</p> <p>2017-08-01</p> <p>The article describes the unique studies of the chemical composition changes of new geological object (<span class="hlt">tsunami</span> deposits in south Thailand - Andaman Sea Coast) during four years (2005-2008) from the beginning of formation of it (deposition of <span class="hlt">tsunami</span> transported material, 26 December 2004). The chemical composition of the acid leachable fraction of the <span class="hlt">tsunami</span> deposits has been studied in the scope of concentration macrocompounds - concentration of calcium, magnesium, iron, manganese and iron speciation - the occurrence of Fe(II), Fe(III) and non-ionic iron species described as complexed iron (Fe complex). The changes of chemical composition and iron speciation in the acid leachable fraction of <span class="hlt">tsunami</span> deposits have been observed with not clear tendencies of changes direction. For iron speciation changes the transformation of the Fe complex to Fe(III) has been recorded with no significant changes of the level of Fe(II). Copyright © 2017 Elsevier Ltd. All rights reserved.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.er.usgs.gov/publication/70030484','USGSPUBS'); return false;" href="https://pubs.er.usgs.gov/publication/70030484"><span>Medieval forewarning of the 2004 Indian Ocean <span class="hlt">tsunami</span> in Thailand</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Jankaew, K.; Atwater, B.F.; Sawai, Y.; Choowong, M.; Charoentitirat, T.; Martin, M.E.; Prendergast, A.</p> <p>2008-01-01</p> <p>Recent centuries provide no precedent for the 2004 Indian Ocean <span class="hlt">tsunami</span>, either on the coasts it devastated or within its source area. The <span class="hlt">tsunami</span> claimed nearly all of its victims on shores that had gone 200 years or more without a <span class="hlt">tsunami</span> disaster. The associated earthquake of magnitude 9.2 defied a Sumatra-Andaman catalogue that contains no nineteenth-century or twentieth-century earthquake larger than magnitude 7.9 (ref. 2). The <span class="hlt">tsunami</span> and the earthquake together resulted from a fault rupture 1,500 km long that expended centuries' worth of plate convergence. Here, using sedimentary evidence for <span class="hlt">tsunamis</span>, we identify probable precedents for the 2004 <span class="hlt">tsunami</span> at a grassy beach-ridge plain 125 km north of Phuket. The 2004 <span class="hlt">tsunami</span>, running 2 km across this plain, coated the ridges and intervening swales with a sheet of sand commonly 5-20 cm thick. The peaty soils of two marshy swales preserve the remains of several earlier sand sheets less than 2,800 years old. If responsible for the youngest of these pre-2004 sand sheets, the most recent full-size predecessor to the 2004 <span class="hlt">tsunami</span> occurred about 550-700 years ago. ??2008 Macmillan Publishers Limited. All rights reserved.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017JVGR..347..221G','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017JVGR..347..221G"><span><span class="hlt">Tsunami</span> deposits associated with the 7.3 ka caldera-forming eruption of the Kikai Caldera, insights for <span class="hlt">tsunami</span> generation during submarine caldera-forming eruptions</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Geshi, Nobuo; Maeno, Fukashi; Nakagawa, Shojiro; Naruo, Hideto; Kobayashi, Tetsuo</p> <p>2017-11-01</p> <p>Timing and mechanism of volcanic <span class="hlt">tsunamis</span> will be a key to understand the dynamics of large-scale submarine explosive volcanism. <span class="hlt">Tsunami</span> deposits associated with the VEI 7 eruption of the Kikai Caldera at 7.3 ka are found in the Yakushima and Kuchinoerabujima Islands, 40 km south -southeast of the caldera rim. The <span class="hlt">tsunami</span> deposits distribute along the rivers in their northern coast up to 4.5 km from the river exit and up to 50 m above the present sea level. The <span class="hlt">tsunami</span> deposits in the Yakushima area consist of pumice-bearing gravels in the lower part of the section (Unit I) and pumiceous conglomerate in the upper part (Unit II). The presence of rounded pebbles of sedimentary rocks, which characterize the beach deposit, indicates a run-up current from the coastal area. The rip-up clasts of the underlying paleosol in Unit I show strong erosion during the invasion of <span class="hlt">tsunami</span>. Compositional similarity between the pumices in the <span class="hlt">tsunami</span> deposit and the juvenile materials erupted in the early phase of the Akahoya eruption indicates the formation of <span class="hlt">tsunami</span> deposit during the early phase of the eruption, which produced the initial Plinian pumice fall and the lower half of the Koya pyroclastic flow. Presence of the dense volcanic components (obsidians and lava fragments) besides pumices in the <span class="hlt">tsunami</span> deposit supports that they were carried by the Koya pyroclastic flow, and not the pumices floating on the sea surface. Sequential relationship between the Koya pyroclastic flow and the <span class="hlt">tsunami</span> suggests that the emplacement of the pyroclastic flow into the sea surrounding the caldera is the most probable mechanism of the <span class="hlt">tsunami</span>.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.usgs.gov/of/2013/1170/c/pdf/ofr2013-1170c.pdf','USGSPUBS'); return false;" href="https://pubs.usgs.gov/of/2013/1170/c/pdf/ofr2013-1170c.pdf"><span>The search for geologic evidence of distant-source <span class="hlt">tsunamis</span> using new field data in California: Chapter C in The SAFRR (Science Application for Risk Reduction) <span class="hlt">Tsunami</span> Scenario</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Wilson, Rick; Hemphill-Haley, Eileen; Jaffe, Bruce; Richmond, Bruce; Peters, Robert; Graehl, Nick; Kelsey, Harvey; Leeper, Robert; Watt, Steve; McGann, Mary; Hoirup, Don F.; Chagué-Goff, Catherine; Goff, James; Caldwell, Dylan; Loofbourrow, Casey</p> <p>2014-01-01</p> <p>A statewide assessment for geological evidence of <span class="hlt">tsunamis</span>, primarily from distant-source events, found <span class="hlt">tsunami</span> deposits at several locations, though evidence was absent at most locations evaluated. Several historical distant-source <span class="hlt">tsunamis</span>, including the 1946 Aleutian, 1960 Chile, and 1964 Alaska events, caused inundation along portions of the northern and central California coast. Recent numerical <span class="hlt">tsunami</span> modeling results identify the eastern Aleutian Islands subduction zone as the “worstcase” distant-source region, with the potential for causing <span class="hlt">tsunami</span> runups of 7–10 m in northern and central California and 3–4 m in southern California. These model results, along with a review of historical topographic maps and past geotechnical evaluations, guided site selection for <span class="hlt">tsunami</span> deposit surveys. A reconnaissance of 20 coastal marshlands was performed through site visits and coring of shallow surface sediments to determine if evidence for past <span class="hlt">tsunamis</span> existed. Although conclusive evidence of <span class="hlt">tsunami</span> deposits was not found at most of the sites evaluated, geologic evidence consistent with <span class="hlt">tsunami</span> inundation was found at two locations: Three marshes in the Crescent City area and Pillar Point marsh near Half Moon Bay. Potential <span class="hlt">tsunami</span> deposits were also evaluated at the Carpinteria Salt Marsh Reserve in Santa Barbara County. In Crescent City, deposits were ascribed to <span class="hlt">tsunamis</span> on the basis of stratigraphic architecture, particle size, and microfossil content, and they were further assigned to the 1964 Alaska and 1700 Cascadia <span class="hlt">tsunamis</span> on the basis of dating by cesium-137 and radiocarbon methods, respectively. The 1946 <span class="hlt">tsunami</span> sand deposit was clearly identified throughout Pillar Point marsh, and one to two other similar but highly discontinuous sand layers were present within 0.5 m of the surface. A <span class="hlt">tsunami</span>-origin interpretation for sand layers at Carpinteria is merely consistent with graded bedding and unsupported by diatom or foraminiferal assemblages</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2008AGUFMOS42B..06A','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2008AGUFMOS42B..06A"><span><span class="hlt">Tsunami</span> Hazard Assessment in Guam</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Arcas, D.; Uslu, B.; Titov, V.; Chamberlin, C.</p> <p>2008-12-01</p> <p>The island of Guam is located approximately 1500 miles south of Japan, in the vicinity of the Mariana Trench. It is surrounded in close proximity by three subduction zones, Nankai-Taiwan, East Philippines and Mariana Trench that pose a considerable near to intermediate field <span class="hlt">tsunami</span> threat. <span class="hlt">Tsunami</span> catalogues list 14 tsunamigenic earthquake with Mw≥8.0 since 1900 only in this region, (Soloviev and Go, 1974; Lander, 1993; Iida, 1984; Lander and Lowell, 2002), however the island has not been significantly affected by some of the largest far-field events of the past century, such as the 1952 Kamchatka, 1960 Chile, and the 1964 Great Alaska earthquake. An assessment of the <span class="hlt">tsunami</span> threat to the island from both near and far field sources, using forecast tools originally developed at NOAA's Pacific Marine Environmental Laboratory (PMEL) for real-time forecasting of <span class="hlt">tsunamis</span> is presented here. Tide gauge records from 1952 Kamchatka, 1964 Alaska, and 1960 Chile earthquakes at Apra Harbor are used to validate our model set up, and to explain the limited impact of these historical events on Guam. Identification of worst-case scenarios, and determination of tsunamigenic effective source regions are presented for five vulnerable locations on the island via a <span class="hlt">tsunami</span> sensitivity study. Apra Harbor is the site of a National Ocean Service (NOS) tide gauge and the biggest harbor on the island. Tumon Bay, Pago Bay, Agana Bay and Inarajan Bay are densely populated areas that require careful investigation. The sensitivity study shows that earthquakes from Eastern Philippines present a major threat to west coast facing sites, whereas the Marina Trench poses the biggest concern to the east coast facing sites.</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_19");'>19</a></li> <li><a href="#" onclick='return showDiv("page_20");'>20</a></li> <li class="active"><span>21</span></li> <li><a href="#" onclick='return showDiv("page_22");'>22</a></li> <li><a href="#" onclick='return showDiv("page_23");'>23</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_21 --> <div id="page_22" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_20");'>20</a></li> <li><a href="#" onclick='return showDiv("page_21");'>21</a></li> <li class="active"><span>22</span></li> <li><a href="#" onclick='return showDiv("page_23");'>23</a></li> <li><a href="#" onclick='return showDiv("page_24");'>24</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="421"> <li> <p><a target="_blank" onclick="trackOutboundLink('http://svr4.terrapub.co.jp/journals/EPS/pdf/2004/5603/56030367.pdf','USGSPUBS'); return false;" href="http://svr4.terrapub.co.jp/journals/EPS/pdf/2004/5603/56030367.pdf"><span>The <span class="hlt">tsunami</span> source area of the 2003 Tokachi-oki earthquake estimated from <span class="hlt">tsunami</span> travel times and its relationship to the 1952 Tokachi-oki earthquake</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Hirata, K.; Tanioka, Y.; Satake, K.; Yamaki, S.; Geist, E.L.</p> <p>2004-01-01</p> <p>We estimate the <span class="hlt">tsunami</span> source area of the 2003 Tokachi-oki earthquake (Mw 8.0) from observed <span class="hlt">tsunami</span> travel times at 17 Japanese tide gauge stations. The estimated <span class="hlt">tsunami</span> source area (???1.4 ?? 104 km2) coincides with the western-half of the ocean-bottom deformation area (???2.52 ?? 104 km2) of the 1952 Tokachi-oki earthquake (Mw 8.1), previously inferred from <span class="hlt">tsunami</span> waveform inversion. This suggests that the 2003 event ruptured only the western-half of the 1952 rupture extent. Geographical distribution of the maximum <span class="hlt">tsunami</span> heights in 2003 differs significantly from that of the 1952 <span class="hlt">tsunami</span>, supporting this hypothesis. Analysis of first-peak <span class="hlt">tsunami</span> travel times indicates that a major uplift of the ocean-bottom occurred approximately 30 km to the NNW of the mainshock epicenter, just above a major asperity inferred from seismic waveform inversion. Copyright ?? The Society of Geomagnetism and Earth, Planetary and Space Sciences (SGEPSS); The Seismological Society of Japan; The Volcanological Society of Japan; The Geodetic Society of Japan; The Japanese Society for Planetary Sciences.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://eosweb.larc.nasa.gov/project/misr/gallery/japan_tsunami','SCIGOV-ASDC'); return false;" href="https://eosweb.larc.nasa.gov/project/misr/gallery/japan_tsunami"><span>Japan: <span class="hlt">Tsunami</span></span></a></p> <p><a target="_blank" href="http://eosweb.larc.nasa.gov/">Atmospheric Science Data Center </a></p> <p></p> <p>2013-04-16</p> <p>... <span class="hlt">tsunami</span> triggered by the March 11, 2011, magnitude 8.9 earthquake centered off Japan's northeastern coast about 130 kilometers (82 ... inland from the eastern shoreline is visible in the post-earthquake image. The white sand beaches visible in the pre-earthquake view are ...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2005AGUFMED53A0323L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2005AGUFMED53A0323L"><span>The Waves and <span class="hlt">Tsunamis</span> Project</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Lavin, M.; Strohschneider, D.; Maichle, R.; Frashure, K.; Micozzi, N.; Stephen, R. A.</p> <p>2005-12-01</p> <p>The goals of the Waves and <span class="hlt">Tsunamis</span> Project are "to make waves real" to middle school students and to teach them some fundamental concepts of waves. The curriculum was designed in Fall 2004 (before the Sumatra <span class="hlt">Tsunami</span>) and involves an ocean scientist classroom visit, hands-on demonstrations, and an interactive website designed to explain ocean wave properties. The website is called 'The Plymouth Wave Lab' and it has had more than 40,000 hits since the Sumatra event. One inexpensive and interesting demonstration is based on a string composed of alternating elastic bands and paper clips. Washers can be added to the paper clips to construct strings with varying mass. For example, a tapered string with mass decreasing in the wave propagation direction is an analog of <span class="hlt">tsunami</span> waves propagating from deep to shallow water. The Waves and <span class="hlt">Tsunamis</span> Project evolved as a collaborative effort involving an ocean science researcher and middle school science teachers. It was carried out through the direction of the Centers of Ocean Science Education Excellence New England (COSEE-NE) Ocean Science Education Institute (OSEI). COSEE-NE is involved in developing models for sustainable involvement of ocean science researchers in K-12 education ( http://necosee.net ). This work is supported by the National Science Foundation.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017NHESS..17.1253B','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017NHESS..17.1253B"><span>Synthetic <span class="hlt">tsunami</span> waveform catalogs with kinematic constraints</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Baptista, Maria Ana; Miranda, Jorge Miguel; Matias, Luis; Omira, Rachid</p> <p>2017-07-01</p> <p>In this study we present a comprehensive methodology to produce a synthetic <span class="hlt">tsunami</span> waveform catalogue in the northeast Atlantic, east of the Azores islands. The method uses a synthetic earthquake catalogue compatible with plate kinematic constraints of the area. We use it to assess the <span class="hlt">tsunami</span> hazard from the transcurrent boundary located between Iberia and the Azores, whose western part is known as the Gloria Fault. This study focuses only on earthquake-generated <span class="hlt">tsunamis</span>. Moreover, we assume that the time and space distribution of the seismic events is known. To do this, we compute a synthetic earthquake catalogue including all fault parameters needed to characterize the seafloor deformation covering the time span of 20 000 years, which we consider long enough to ensure the representability of earthquake generation on this segment of the plate boundary. The computed time and space rupture distributions are made compatible with global kinematic plate models. We use the <span class="hlt">tsunami</span> empirical Green's functions to efficiently compute the synthetic <span class="hlt">tsunami</span> waveforms for the dataset of coastal locations, thus providing the basis for <span class="hlt">tsunami</span> impact characterization. We present the results in the form of offshore wave heights for all coastal points in the dataset. Our results focus on the northeast Atlantic basin, showing that earthquake-induced <span class="hlt">tsunamis</span> in the transcurrent segment of the Azores-Gibraltar plate boundary pose a minor threat to coastal areas north of Portugal and beyond the Strait of Gibraltar. However, in Morocco, the Azores, and the Madeira islands, we can expect wave heights between 0.6 and 0.8 m, leading to precautionary evacuation of coastal areas. The advantages of the method are its easy application to other regions and the low computation effort needed.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUFMNH41A1759M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUFMNH41A1759M"><span><span class="hlt">Tsunami</span> Preparedness, Response, Mitigation, and Recovery Planning in California</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Miller, K.; Wilson, R. I.; Johnson, L. A.; Mccrink, T. P.; Schaffer, E.; Bower, D.; Davis, M.</p> <p>2016-12-01</p> <p>In California officials of state, federal, and local governments have coordinated to implement a <span class="hlt">Tsunami</span> Preparedness and Mitigation Program. Building upon past preparedness efforts carried out year-round this group has leveraged government support at all levels. A primary goal is for everyone who lives at or visits the coast to understand basic life-safety measures when responding to official <span class="hlt">tsunami</span> alerts or natural warnings. Preparedness actions include: observation of National <span class="hlt">Tsunami</span> Preparedness Week, local "<span class="hlt">tsunami</span> walk" drills, scenario-based exercises, testing of notification systems for public alert messaging, outreach materials, workshops, presentations, and media events.Program partners have worked together to develop emergency operations, evacuation plans, and <span class="hlt">tsunami</span> annexes to plans for counties, cities, communities, and harbors in 20 counties along the coast. Working with the state and federal partner agencies, coastal communities have begun to incorporate sophisticated <span class="hlt">tsunami</span> "Playbook" scenario information into their planning. These innovative <span class="hlt">tsunami</span> evacuation and response tools provide detailed evacuation maps and associated real-time response information for identifying areas where flooding could occur. This is critical information for evacuating populations on land, near the shoreline.Acting on recommendations from the recent USGS-led, multi-discipline Science Application for Risk Reduction <span class="hlt">Tsunami</span> Scenario report on impacts to California and American Society of Civil Engineering adoption proposals to the International Building Code, the state has begun to develop a strategy to incorporate probabilistic <span class="hlt">tsunami</span> findings into state level policy recommendations for addressing building code adoption, as well as approach land use planning and building code implementation in local jurisdictions. Additional efforts, in the context of sustained community resiliency, include developing recovery planning guidance for local communities.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018PApGe.175...35A','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018PApGe.175...35A"><span><span class="hlt">Tsunami</span> Source Inversion Using Tide Gauge and DART <span class="hlt">Tsunami</span> Waveforms of the 2017 Mw8.2 Mexico Earthquake</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Adriano, Bruno; Fujii, Yushiro; Koshimura, Shunichi; Mas, Erick; Ruiz-Angulo, Angel; Estrada, Miguel</p> <p>2018-01-01</p> <p>On September 8, 2017 (UTC), a normal-fault earthquake occurred 87 km off the southeast coast of Mexico. This earthquake generated a <span class="hlt">tsunami</span> that was recorded at coastal tide gauge and offshore buoy stations. First, we conducted a numerical <span class="hlt">tsunami</span> simulation using a single-fault model to understand the <span class="hlt">tsunami</span> characteristics near the rupture area, focusing on the nearby tide gauge stations. Second, the <span class="hlt">tsunami</span> source of this event was estimated from inversion of <span class="hlt">tsunami</span> waveforms recorded at six coastal stations and three buoys located in the deep ocean. Using the aftershock distribution within 1 day following the main shock, the fault plane orientation had a northeast dip direction (strike = 320°, dip = 77°, and rake =-92°). The results of the <span class="hlt">tsunami</span> waveform inversion revealed that the fault area was 240 km × 90 km in size with most of the largest slip occurring on the middle and deepest segments of the fault. The maximum slip was 6.03 m from a 30 × 30 km2 segment that was 64.82 km deep at the center of the fault area. The estimated slip distribution showed that the main asperity was at the center of the fault area. The second asperity with an average slip of 5.5 m was found on the northwest-most segments. The estimated slip distribution yielded a seismic moment of 2.9 × 10^{21} Nm (Mw = 8.24), which was calculated assuming an average rigidity of 7× 10^{10} N/m2.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2012AGUFMNH11C1566W','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2012AGUFMNH11C1566W"><span>Place-classification analysis of community vulnerability to near-field <span class="hlt">tsunami</span> threats in the U.S. Pacific Northwest</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Wood, N. J.; Spielman, S.</p> <p>2012-12-01</p> <p>Near-field <span class="hlt">tsunami</span> hazards are credible threats to many coastal communities throughout the world. Along the U.S. Pacific Northwest coast, low-lying areas could be inundated by a series of catastrophic <span class="hlt">tsunamis</span> that begin to arrive in a matter of minutes following a major Cascadia subduction zone (CSZ) earthquake. Previous research has documented the residents, employees, tourists at public venues, customers at local businesses, and vulnerable populations at dependent-care facilities that are in CSZ-related <span class="hlt">tsunami</span>-prone areas of northern California, Oregon, and the open-ocean coast of Washington. Community inventories of demographic attributes and other characteristics of the at-risk population have helped emergency managers to develop preparedness and outreach efforts. Although useful for distinct risk-reduction <span class="hlt">issues</span>, these data can be difficult to fully appreciate holistically given the large number of community attributes. This presentation summarizes analytical efforts to classify communities with similar characteristics of community exposure to <span class="hlt">tsunami</span> hazards. This work builds on past State-focused inventories of community exposure to CSZ-related <span class="hlt">tsunami</span> hazards in northern California, Oregon, and Washington. Attributes used in the classification, or cluster analysis, fall into several categories, including demography of residents, spatial extent of the developed footprint based on mid-resolution land cover data, distribution of the local workforce, and the number and type of public venues, dependent-care facilities, and community-support businesses. As we were unsure of the number of different types of communities, we used an unsupervised-model-based clustering algorithm and a v-fold, cross-validation procedure (v=50) to identify the appropriate number of community types. Ultimately we selected class solutions that provided the appropriate balance between parsimony and model fit. The goal of the exposure classification is to provide emergency managers with</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017PApGe.174.2961Z','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017PApGe.174.2961Z"><span>The 2011 Tohoku <span class="hlt">Tsunami</span> on the Coast of Mexico: A Case Study</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Zaytsev, Oleg; Rabinovich, Alexander B.; Thomson, Richard E.</p> <p>2017-08-01</p> <p>The Tohoku (East Japan) earthquake of 11 March 2011 ( M w 9.0) generated a great trans-oceanic <span class="hlt">tsunami</span> that spread throughout the Pacific Ocean, where it was measured by numerous coastal tide gauges and open-ocean DART (Deep-ocean Assessment and Reporting of <span class="hlt">Tsunamis</span>) stations. Statistical and spectral analyses of the <span class="hlt">tsunami</span> waves recorded along the Pacific coast of Mexico have enabled us to estimate the principal parameters of the waves along the coast and to compare statistical features of the <span class="hlt">tsunami</span> with other <span class="hlt">tsunamis</span> recorded on this coast. We identify coastal "hot spots"—Manzanillo, Zihuatanejo, Acapulco, and Ensenada—corresponding to sites having highest <span class="hlt">tsunami</span> hazard potential, where wave heights during the 2011 event exceeded 1.5-2 m and <span class="hlt">tsunami</span>-induced currents were strong enough to close port operations. Based on a joint spectral analysis of the <span class="hlt">tsunamis</span> and background noise, we reconstructed the spectra of <span class="hlt">tsunami</span> waves in the deep ocean and found that, with the exception of the high-frequency spectral band (>5 cph), the spectra are in close agreement with the "true" <span class="hlt">tsunami</span> spectra determined from DART bottom pressure records. The departure of the high-frequency spectra in the coastal region from the deep-sea spectra is shown to be related to background infragravity waves generated in the coastal zone. The total energy and frequency content of the Tohoku <span class="hlt">tsunami</span> is compared with the corresponding results for the 2010 Chilean <span class="hlt">tsunami</span>. Our findings show that the integral open-ocean <span class="hlt">tsunami</span> energy, I 0, was 2.30 cm2, or approximately 1.7 times larger than for the 2010 event. Comparison of this parameter with the mean coastal <span class="hlt">tsunami</span> variance (451 cm2) indicates that <span class="hlt">tsunami</span> waves propagating onshore from the open ocean amplified by 14 times; the same was observed for the 2010 <span class="hlt">tsunami</span>. The "<span class="hlt">tsunami</span> colour" (frequency content) for the 2011 Tohoku <span class="hlt">tsunami</span> was "red", with about 65% of the total energy associated with low-frequency waves at frequencies</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AGUFMNH14A..02M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AGUFMNH14A..02M"><span>Non-seismic <span class="hlt">tsunamis</span>: filling the forecast gap</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Moore, C. W.; Titov, V. V.; Spillane, M. C.</p> <p>2015-12-01</p> <p>Earthquakes are the generation mechanism in over 85% of <span class="hlt">tsunamis</span>. However, non-seismic <span class="hlt">tsunamis</span>, including those generated by meteorological events, landslides, volcanoes, and asteroid impacts, can inundate significant area and have a large far-field effect. The current National Oceanographic and Atmospheric Administration (NOAA) <span class="hlt">tsunami</span> forecast system falls short in detecting these phenomena. This study attempts to classify the range of effects possible from these non-seismic threats, and to investigate detection methods appropriate for use in a forecast system. Typical observation platforms are assessed, including DART bottom pressure recorders and tide gauges. Other detection paths include atmospheric pressure anomaly algorithms for detecting meteotsunamis and the early identification of asteroids large enough to produce a regional hazard. Real-time assessment of observations for forecast use can provide guidance to mitigate the effects of a non-seismic <span class="hlt">tsunami</span>.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFMNH23A0243G','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFMNH23A0243G"><span>Evaluation of <span class="hlt">Tsunami</span>-HySEA for <span class="hlt">tsunami</span> forecasting at selected locations in U.S.</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Gonzalez Vida, J. M., Sr.; Ortega, S.; Castro, M. J.; de la Asuncion, M.; Arcas, D.</p> <p>2017-12-01</p> <p>The GPU-based <span class="hlt">Tsunami</span>-HySEA model (Macias, J. et al., Pure and Applied Geophysics, 1-37, 2017, Lynett, P. et al., Ocean modeling, 114, 2017) is used to test four <span class="hlt">tsunami</span> events: the January, 13, 2007 earthquake in Kuril islands (Mw 8.1), the September, 29, 2009 earthquake in Samoa (Mw 8.3), the February, 27, 2010 earthquake in Chile (Mw 9.8) and the March, 11, 2011 earthquake in Tohoku (Mw 9.0). Initial conditions have been provided by NOAA Center for <span class="hlt">Tsunami</span> Research (NCTR) obtained from DART inversion results. All simulations have been performed using a global 4 arc-min grid of the Ocean Pacific and three nested-meshes levels around the selected locations. Wave amplitudes time series have been computed at selected tide gauges located at each location and maximum amplitudes compared with both MOST model results and observations where they are available. In addition, inundation also has been computed at selected U.S. locations for the 2011 Tohoku and 2009 Samoa events under the assumption of a steady mean high water level. Finally, computational time is also evaluated in order to study the operational capabilities of <span class="hlt">Tsunami</span>-HySEA for these kind of events. Ackowledgements: This work has been funded by WE133R16SE1418 contract between PMEL (NOAA) and the Universidad de Málaga (Spain).</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014JESS..123..905V','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014JESS..123..905V"><span>Identification and characterization of <span class="hlt">tsunami</span> deposits off southeast coast of India from the 2004 Indian Ocean <span class="hlt">tsunami</span>: Rock magnetic and geochemical approach</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Veerasingam, S.; Venkatachalapathy, R.; Basavaiah, N.; Ramkumar, T.; Venkatramanan, S.; Deenadayalan, K.</p> <p>2014-06-01</p> <p>The December 2004 Indian Ocean <span class="hlt">Tsunami</span> (IOT) had a major impact on the geomorphology and sedimentology of the east coast of India. Estimation of the magnitude of the <span class="hlt">tsunami</span> from its deposits is a challenging topic to be developed in studies on <span class="hlt">tsunami</span> hazard assessment. Two core sediments (C1 and C2) from Nagapattinam, southeast coast of India were subjected to textural, mineral, geochemical and rock-magnetic measurements. In both cores, three zones (zone I, II and III) have been distinguished based on mineralogical, geochemical and magnetic data. Zone II is featured by peculiar rock-magnetic, textural, mineralogical and geochemical signatures in both sediment cores that we interpret to correspond to the 2004 IOT deposit. Textural, mineralogical, geochemical and rock-magnetic investigations showed that the <span class="hlt">tsunami</span> deposit is featured by relative enrichment in sand, quartz, feldspar, carbonate, SiO 2, TiO 2, K 2O and CaO and by a depletion in clay and iron oxides. These results point to a dilution of reworked ferromagnetic particles into a huge volume of paramagnetic materials, similar to what has been described in other nearshore <span class="hlt">tsunami</span> deposits (Font et al. 2010). Correlation analysis elucidated the relationships among the textural, mineral, geochemical and magnetic parameters, and suggests that most of the quartz-rich coarse sediments have been transported offshore by the <span class="hlt">tsunami</span> wave. These results agreed well with the previously published numerical model of <span class="hlt">tsunami</span> induced sediment transport off southeast coast of India and can be used for future comparative studies on <span class="hlt">tsunami</span> deposits.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.usgs.gov/of/2013/1170/b/pdf/of2013-1170b_text.pdf','USGSPUBS'); return false;" href="https://pubs.usgs.gov/of/2013/1170/b/pdf/of2013-1170b_text.pdf"><span>Alaska earthquake source for the SAFRR <span class="hlt">tsunami</span> scenario: Chapter B in The SAFRR (Science Application for Risk Reduction) <span class="hlt">Tsunami</span> Scenario</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Kirby, Stephen; Scholl, David; von Huene, Roland E.; Wells, Ray</p> <p>2013-01-01</p> <p><span class="hlt">Tsunami</span> modeling has shown that <span class="hlt">tsunami</span> sources located along the Alaska Peninsula segment of the Aleutian-Alaska subduction zone have the greatest impacts on southern California shorelines by raising the highest <span class="hlt">tsunami</span> waves for a given source seismic moment. The most probable sector for a Mw ~ 9 source within this subduction segment is between Kodiak Island and the Shumagin Islands in what we call the Semidi subduction sector; these bounds represent the southwestern limit of the 1964 Mw 9.2 Alaska earthquake rupture and the northeastern edge of the Shumagin sector that recent Global Positioning System (GPS) observations indicate is currently creeping. Geological and geophysical features in the Semidi sector that are thought to be relevant to the potential for large magnitude, long-rupture-runout interplate thrust earthquakes are remarkably similar to those in northeastern Japan, where the destructive Mw 9.1 tsunamigenic earthquake of 11 March 2011 occurred. In this report we propose and justify the selection of a <span class="hlt">tsunami</span> source seaward of the Alaska Peninsula for use in the <span class="hlt">Tsunami</span> Scenario that is part of the U.S. Geological Survey (USGS) Science Application for Risk Reduction (SAFRR) Project. This <span class="hlt">tsunami</span> source should have the potential to raise damaging <span class="hlt">tsunami</span> waves on the California coast, especially at the ports of Los Angeles and Long Beach. Accordingly, we have summarized and abstracted slip distribution from the source literature on the 2011 event, the best characterized for any subduction earthquake, and applied this synoptic slip distribution to the similar megathrust geometry of the Semidi sector. The resulting slip model has an average slip of 18.6 m and a moment magnitude of Mw = 9.1. The 2011 Tohoku earthquake was not anticipated, despite Japan having the best seismic and geodetic networks in the world and the best historical record in the world over the past 1,500 years. What was lacking was adequate paleogeologic data on prehistoric earthquakes</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/26392618','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/26392618"><span><span class="hlt">Tsunamis</span>: bridging science, engineering and society.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Kânoğlu, U; Titov, V; Bernard, E; Synolakis, C</p> <p>2015-10-28</p> <p><span class="hlt">Tsunamis</span> are high-impact, long-duration disasters that in most cases allow for only minutes of warning before impact. Since the 2004 Boxing Day <span class="hlt">tsunami</span>, there have been significant advancements in warning methodology, pre-disaster preparedness and basic understanding of related phenomena. Yet, the trail of destruction of the 2011 Japan <span class="hlt">tsunami</span>, broadcast live to a stunned world audience, underscored the difficulties of implementing advances in applied hazard mitigation. We describe state of the art methodologies, standards for warnings and summarize recent advances in basic understanding, and identify cross-disciplinary challenges. The stage is set to bridge science, engineering and society to help build up coastal resilience and reduce losses. © 2015 The Author(s).</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/1997EOSTr..78..197I','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/1997EOSTr..78..197I"><span>Irian Jaya earthquake and <span class="hlt">tsunami</span> cause serious damage</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Imamura, Fumihiko; Subandono, D.; Watson, G.; Moore, A.; Takahashi, T.; Matsutomi, H.; Hidayat, R.</p> <p></p> <p>On February 17,1996, at 0559 UT, a major earthquake with moment magnitude (Mw) 7.9 killed 107 people and caused major damage at Biak Island, 30-40 km southwest of the earthquake's epicenter (Figures 1 and 2). A devastating <span class="hlt">tsunami</span> washed away all of the houses at Korim, a small village located in a narrow bay facing directly towards the incoming wave, and it left behind clear evidence of sand erosion and deposition that indicated how far the <span class="hlt">tsunami</span> advanced. An unexpectedly large <span class="hlt">tsunami</span> run-up of 7.7 m was measured at Wardo in western Biak, which faces away from the primary <span class="hlt">tsunami</span> source. This high run-up may have been caused by a local submarine landslide.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AGUFMNH23A1851A','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AGUFMNH23A1851A"><span>Application of Seismic Array Processing to <span class="hlt">Tsunami</span> Early Warning</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>An, C.; Meng, L.</p> <p>2015-12-01</p> <p><span class="hlt">Tsunami</span> wave predictions of the current <span class="hlt">tsunami</span> warning systems rely on accurate earthquake source inversions of wave height data. They are of limited effectiveness for the near-field areas since the <span class="hlt">tsunami</span> waves arrive before data are collected. Recent seismic and <span class="hlt">tsunami</span> disasters have revealed the need for early warning to protect near-source coastal populations. In this work we developed the basis for a <span class="hlt">tsunami</span> warning system based on rapid earthquake source characterisation through regional seismic array back-projections. We explored rapid earthquake source imaging using onshore dense seismic arrays located at regional distances on the order of 1000 km, which provides faster source images than conventional teleseismic back-projections. We implement this method in a simulated real-time environment, and analysed the 2011 Tohoku earthquake rupture with two clusters of Hi-net stations in Kyushu and Northern Hokkaido, and the 2014 Iquique event with the Earthscope USArray Transportable Array. The results yield reasonable estimates of rupture area, which is approximated by an ellipse and leads to the construction of simple slip models based on empirical scaling of the rupture area, seismic moment and average slip. The slip model is then used as the input of the <span class="hlt">tsunami</span> simulation package COMCOT to predict the <span class="hlt">tsunami</span> waves. In the example of the Tohoku event, the earthquake source model can be acquired within 6 minutes from the start of rupture and the simulation of <span class="hlt">tsunami</span> waves takes less than 2 min, which could facilitate a timely <span class="hlt">tsunami</span> warning. The predicted arrival time and wave amplitude reasonably fit observations. Based on this method, we propose to develop an automatic warning mechanism that provides rapid near-field warning for areas of high <span class="hlt">tsunami</span> risk. The initial focus will be Japan, Pacific Northwest and Alaska, where dense seismic networks with the capability of real-time data telemetry and open data accessibility, such as the Japanese HiNet (>800</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUFM.P54B1759C','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUFM.P54B1759C"><span>Five years from the great 2010 <span class="hlt">Tsunami</span> in Chile: learning from multi-hazard disasters and improving resileincy</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Cienfuegos, R.; Gonzalez, G.; Repetto, P.; Cipriano, A.; Moris, R.; Catalan, P. A.; Guic, E.; Martin, J. C. D. L. L.</p> <p>2016-12-01</p> <p>The Research Center for Integrated Natural Hazards Management (CIGIDEN) has developed in recent years (supported by the Fondap/Conicyt Excellence in research center's program) active efforts to connect science and public institutions in charge of disaster management in Chile. We have been able to reach in particular the National Emergency Office (ONEMI) and the National Hydrographic and Oceanographic Naval Service (SHOA), and develop joint specific programs that have been mutually beneficial both for research enrichment and the operation of the emergency response system. Through these efforts, also supplemented by other Chilean and International research institutions, we analyzed together <span class="hlt">issues</span> and challenges from the systemic failure experienced by the emergency system in Chile after the 2010 earthquake and <span class="hlt">tsunami</span>. In this talk we will review some of the main collaboration actions and their outcomes, connecting them to the extreme events that impacted Chile in 2015 (earthquakes, <span class="hlt">tsunamis</span>, storm waves, and flash floods). In particular we will describe the effort that CIGIDEN has developed i) with ONEMI in developing instruments to assess community preparedness and awareness and to understand <span class="hlt">tsunami</span> evacuation behaviors; and ii) with SHOA to develop a new Integrated Decision Support System for <span class="hlt">Tsunami</span> alerting that is being transferred to SHOA in September 2015, and was successfully tested offline during the September 16th, 2015, <span class="hlt">tsunami</span>.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017OcMod.114...14L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017OcMod.114...14L"><span>Inter-model analysis of <span class="hlt">tsunami</span>-induced coastal currents</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Lynett, Patrick J.; Gately, Kara; Wilson, Rick; Montoya, Luis; Arcas, Diego; Aytore, Betul; Bai, Yefei; Bricker, Jeremy D.; Castro, Manuel J.; Cheung, Kwok Fai; David, C. Gabriel; Dogan, Gozde Guney; Escalante, Cipriano; González-Vida, José Manuel; Grilli, Stephan T.; Heitmann, Troy W.; Horrillo, Juan; Kânoğlu, Utku; Kian, Rozita; Kirby, James T.; Li, Wenwen; Macías, Jorge; Nicolsky, Dmitry J.; Ortega, Sergio; Pampell-Manis, Alyssa; Park, Yong Sung; Roeber, Volker; Sharghivand, Naeimeh; Shelby, Michael; Shi, Fengyan; Tehranirad, Babak; Tolkova, Elena; Thio, Hong Kie; Velioğlu, Deniz; Yalçıner, Ahmet Cevdet; Yamazaki, Yoshiki; Zaytsev, Andrey; Zhang, Y. J.</p> <p>2017-06-01</p> <p>To help produce accurate and consistent maritime hazard products, the National <span class="hlt">Tsunami</span> Hazard Mitigation Program organized a benchmarking workshop to evaluate the numerical modeling of <span class="hlt">tsunami</span> currents. Thirteen teams of international researchers, using a set of <span class="hlt">tsunami</span> models currently utilized for hazard mitigation studies, presented results for a series of benchmarking problems; these results are summarized in this paper. Comparisons focus on physical situations where the currents are shear and separation driven, and are thus de-coupled from the incident <span class="hlt">tsunami</span> waveform. In general, we find that models of increasing physical complexity provide better accuracy, and that low-order three-dimensional models are superior to high-order two-dimensional models. Inside separation zones and in areas strongly affected by eddies, the magnitude of both model-data errors and inter-model differences can be the same as the magnitude of the mean flow. Thus, we make arguments for the need of an ensemble modeling approach for areas affected by large-scale turbulent eddies, where deterministic simulation may be misleading. As a result of the analyses presented herein, we expect that <span class="hlt">tsunami</span> modelers now have a better awareness of their ability to accurately capture the physics of <span class="hlt">tsunami</span> currents, and therefore a better understanding of how to use these simulation tools for hazard assessment and mitigation efforts.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFMNH23A0222Y','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFMNH23A0222Y"><span>Variety of Sedimentary Process and Distribution of <span class="hlt">Tsunami</span> Deposits in Laboratory Experiments</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Yamaguchi, N.; Sekiguchi, T.</p> <p>2017-12-01</p> <p>As an indicator of the history and magnitude of paleotsunami events, <span class="hlt">tsunami</span> deposits have received considerable attention. To improve the identification and interpretation of paleotsunami deposits, an understanding of sedimentary process and distribution of <span class="hlt">tsunami</span> deposits is crucial. Recent detailed surveys of onshore <span class="hlt">tsunami</span> deposits including the 2004 Indian Ocean <span class="hlt">tsunami</span> and the 2011 Tohoku-oki <span class="hlt">tsunami</span> have revealed that terrestrial topography causes a variety of their features and distributions. Therefore, a better understanding of possible sedimentary process and distribution on such influential topographies is required. Flume experiments, in which sedimentary conditions can be easily controlled, can provide insights into the effects of terrestrial topography as well as <span class="hlt">tsunami</span> magnitude on the feature of <span class="hlt">tsunami</span> deposits. In this presentation, we report laboratory experiments that focused on terrestrial topography including a water body (e.g. coastal lake) on a coastal lowland and a cliff. In both cases, the results suggested relationship between the distribution of <span class="hlt">tsunami</span> deposits and the hydraulic condition of the <span class="hlt">tsunami</span> flow associated with the terrestrial topography. These experiments suggest that influential topography would enhance the variability in thickness of <span class="hlt">tsunami</span> deposits, and thus, in reconstructions of paleotsunami events using sedimentary records, we should take into account such anomalous distribution of <span class="hlt">tsunami</span> deposits. Further examination of the temporal sequence of sedimentary process in laboratory <span class="hlt">tsunamis</span> may improve interpretation and estimation of paleotsunami events.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017EGUGA..1913813V','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017EGUGA..1913813V"><span>Modeling the 16 September 2015 Chile <span class="hlt">tsunami</span> source with the inversion of deep-ocean <span class="hlt">tsunami</span> records by means of the r - solution method</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Voronina, Tatyana; Romanenko, Alexey; Loskutov, Artem</p> <p>2017-04-01</p> <p>The key point in the state-of-the-art in the <span class="hlt">tsunami</span> forecasting is constructing a reliable <span class="hlt">tsunami</span> source. In this study, we present an application of the original numerical inversion technique to modeling the <span class="hlt">tsunami</span> sources of the 16 September 2015 Chile <span class="hlt">tsunami</span>. The problem of recovering a <span class="hlt">tsunami</span> source from remote measurements of the incoming wave in the deep-water tsunameters is considered as an inverse problem of mathematical physics in the class of ill-posed problems. This approach is based on the least squares and the truncated singular value decomposition techniques. The <span class="hlt">tsunami</span> wave propagation is considered within the scope of the linear shallow-water theory. As in inverse seismic problem, the numerical solutions obtained by mathematical methods become unstable due to the presence of noise in real data. A method of r-solutions makes it possible to avoid instability in the solution to the ill-posed problem under study. This method seems to be attractive from the computational point of view since the main efforts are required only once for calculating the matrix whose columns consist of computed waveforms for each harmonic as a source (an unknown <span class="hlt">tsunami</span> source is represented as a part of a spatial harmonics series in the source area). Furthermore, analyzing the singular spectra of the matrix obtained in the course of numerical calculations one can estimate the future inversion by a certain observational system that will allow offering a more effective disposition for the tsunameters with the help of precomputations. In other words, the results obtained allow finding a way to improve the inversion by selecting the most informative set of available recording stations. The case study of the 6 February 2013 Solomon Islands <span class="hlt">tsunami</span> highlights a critical role of arranging deep-water tsunameters for obtaining the inversion results. Implementation of the proposed methodology to the 16 September 2015 Chile <span class="hlt">tsunami</span> has successfully produced <span class="hlt">tsunami</span> source model</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2002cosp...34E2022H','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2002cosp...34E2022H"><span>The Big Splash: <span class="hlt">Tsunami</span> from Large Asteroid and Comet Impacts</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Hills, J.; Goda, M.</p> <p></p> <p>Asteroid and comet impacts produce a large range of damage. <span class="hlt">Tsunami</span> may produce most of the economic damage in large asteroid impacts. Large asteroid impacts produce worldwide darkness lasting several months that may kill more people by mass starvation, especially in developing countries, than would <span class="hlt">tsunami</span>, but the dust should not severely affect economic infrastructure. The <span class="hlt">tsunami</span> may even kill more people in developed countries with large coastal populations, such as the United States, than the starvation resulting from darkness. We have been determining which regions of Earth are most susceptible to asteroid <span class="hlt">tsunami</span> by simulating the effect of a large asteroid impact into mid-ocean. We have modeled the effect of midAtlantic and midPacific impacts that produce craters 300 to 150 km in diameter. A KT-size impactor would cause the larger of these craters. We used a computer code that has successfully determined the runup and inundation from historical earthquake-generated <span class="hlt">tsunami</span>. The code has been progressively improved to eliminate previous problems at the domain boundaries, so it now runs until the <span class="hlt">tsunami</span> inundation is complete. We find that the larger of these two midAtlantic impacts would engulf the entire Florida Peninsula. The smaller one would inundate the eastern third of the peninsula while a <span class="hlt">tsunami</span> passing through the Gulf of Cuba would inundate the West Coast of Florida. Impacts at three different sites in the Pacific show the great vulnerability of Tokyo and its surroundings to asteroid <span class="hlt">tsunami</span>. Mainland Asia is relatively protected from asteroid <span class="hlt">tsunami</span>. In Europe, the Iberian Peninsula and the Atlantic Providences of France are highly vulnerable to asteroid <span class="hlt">tsunami</span>.</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_20");'>20</a></li> <li><a href="#" onclick='return showDiv("page_21");'>21</a></li> <li class="active"><span>22</span></li> <li><a href="#" onclick='return showDiv("page_23");'>23</a></li> <li><a href="#" onclick='return showDiv("page_24");'>24</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_22 --> <div id="page_23" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_21");'>21</a></li> <li><a href="#" onclick='return showDiv("page_22");'>22</a></li> <li class="active"><span>23</span></li> <li><a href="#" onclick='return showDiv("page_24");'>24</a></li> <li><a href="#" onclick='return showDiv("page_25");'>25</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="441"> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.er.usgs.gov/publication/70170857','USGSPUBS'); return false;" href="https://pubs.er.usgs.gov/publication/70170857"><span>Reconstruction of far-field <span class="hlt">tsunami</span> amplitude distributions from earthquake sources</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Geist, Eric L.; Parsons, Thomas E.</p> <p>2016-01-01</p> <p>The probability distribution of far-field <span class="hlt">tsunami</span> amplitudes is explained in relation to the distribution of seismic moment at subduction zones. <span class="hlt">Tsunami</span> amplitude distributions at tide gauge stations follow a similar functional form, well described by a tapered Pareto distribution that is parameterized by a power-law exponent and a corner amplitude. Distribution parameters are first established for eight tide gauge stations in the Pacific, using maximum likelihood estimation. A procedure is then developed to reconstruct the <span class="hlt">tsunami</span> amplitude distribution that consists of four steps: (1) define the distribution of seismic moment at subduction zones; (2) establish a source-station scaling relation from regression analysis; (3) transform the seismic moment distribution to a <span class="hlt">tsunami</span> amplitude distribution for each subduction zone; and (4) mix the transformed distribution for all subduction zones to an aggregate <span class="hlt">tsunami</span> amplitude distribution specific to the tide gauge station. The <span class="hlt">tsunami</span> amplitude distribution is adequately reconstructed for four tide gauge stations using globally constant seismic moment distribution parameters established in previous studies. In comparisons to empirical <span class="hlt">tsunami</span> amplitude distributions from maximum likelihood estimation, the reconstructed distributions consistently exhibit higher corner amplitude values, implying that in most cases, the empirical catalogs are too short to include the largest amplitudes. Because the reconstructed distribution is based on a catalog of earthquakes that is much larger than the <span class="hlt">tsunami</span> catalog, it is less susceptible to the effects of record-breaking events and more indicative of the actual distribution of <span class="hlt">tsunami</span> amplitudes.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AGUFMNH33A1901R','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AGUFMNH33A1901R"><span>Comparison of <span class="hlt">Tsunami</span> Deposits Surveyed in 2010 and 2015 From the 2010 Maule Earthquake and <span class="hlt">Tsunami</span> in South-Central Chile.</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Ruiz, A. C.; MacInnes, B. T.; Ely, L. L.; Cisternas, M. A.; Gelfenbaum, G. R.; Richmond, B. M.; Meneses, D. J.</p> <p>2015-12-01</p> <p>The February 27, 2010 Mw 8.8 Maule earthquake and <span class="hlt">tsunami</span> that struck south-central Chile altered the coastal landscape, leaving a depositional record at many locations along the coast. Our research is questioning whether <span class="hlt">tsunami</span> deposits originally described during post-<span class="hlt">tsunami</span> surveys in La Trinchera, Constitución and Coliumo soon after the event change significantly over time. The deposits initially described in 2010 were revisited 5 years later to determine if taphonomic changes occurred and to assess the long-term preservation potential of deposits with different initial characteristics and settings. We recently made measurements of deposit thickness, grain size, grading, sedimentary structures, incipient soil development and accumulation of organic material. Results indicate that deposit thickness and the maximum inland extent of recognizable deposits had decreased slightly since 2010, while overlying soil development and accumulation of organic matter increased. Few deposits had been altered by bioturbation. We will use the inland extent of the deposits surveyed in 2015 to model a minimum size of the 2010 earthquake and <span class="hlt">tsunami</span> in GeoClaw. The results will be compared with independent geophysical models of the rupture characteristics. This can be used as a case study that can be applied to earlier paleo-earthquake and <span class="hlt">tsunami</span> events in which seismic data is sparse or non-existent and the most reliable record is the inundation distance as determined by <span class="hlt">tsunami</span> deposits. Studying the change of deposits in the geologic record over time can provide key insights into how <span class="hlt">tsunami</span> deposits are preserved, which is important when working with paleo-deposits that may have been altered since deposition.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/22098206','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/22098206"><span>The living environment and children's fears following the Indonesian <span class="hlt">tsunami</span>.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Du, Ye Beverly; Lee, Christopher Thomas; Christina, Desy; Belfer, Myron L; Betancourt, Theresa S; O'Rourke, Edward James; Palfrey, Judith S</p> <p>2012-07-01</p> <p>The <span class="hlt">tsunami</span> that struck South-east Asia on 26 December 2004 left more than 500,000 people in Aceh, Indonesia, homeless and displaced to temporary barracks and other communities. This study examines the associations between prolonged habitation in barracks and the nature of fears reported by school-age children and adolescents. In mid-2007, 30 months after the <span class="hlt">tsunami</span>, the authors interviewed 155 child and parent dyads. Logistic regression analysis was used to compare the fears reported by children and adolescents living in barracks with those reported by their peers who were living in villages. After adjusting for demographic factors and <span class="hlt">tsunami</span> exposure, the data reveals that children and adolescents living in barracks were three times more likely than those living in villages to report <span class="hlt">tsunami</span>-related fears. The study demonstrates that continued residence in barracks 30 months after the <span class="hlt">tsunami</span> is associated with higher rates of reporting <span class="hlt">tsunami</span>-related fears, suggesting that barracks habitation has had a significant impact on the psychological experience of children and adolescents since the <span class="hlt">tsunami</span>. © 2012 The Author(s). Journal compilation © Overseas Development Institute, 2012.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=3991231','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=3991231"><span>The living environment and children's fears following the Indonesian <span class="hlt">tsunami</span></span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Du, Ye Beverly; Lee, Christopher Thomas; Christina, Desy; Belfer, Myron L.; Betancourt, Theresa S.; O'Rourke, Edward James; Palfrey, Judith S.</p> <p>2014-01-01</p> <p>The <span class="hlt">tsunami</span> that struck South-east Asia on 26 December 2004 left more than 500,000 people in Aceh, Indonesia, homeless and displaced to temporary barracks and other communities. This study examines the associations between prolonged habitation in barracks and the nature of fears reported by school-age children and adolescents. In mid-2007, 30 months after the <span class="hlt">tsunami</span>, the authors interviewed 155 child and parent dyads. Logistic regression analysis was used to compare the fears reported by children and adolescents living in barracks with those reported by their peers who were living in villages. After adjusting for demographic factors and <span class="hlt">tsunami</span> exposure, the data reveals that children and adolescents living in barracks were three times more likely than those living in villages to report <span class="hlt">tsunami</span>-related fears. The study demonstrates that continued residence in barracks 30 months after the <span class="hlt">tsunami</span> is associated with higher rates of reporting <span class="hlt">tsunami</span>-related fears, suggesting that barracks habitation has had a significant impact on the psychological experience of children and adolescents since the <span class="hlt">tsunami</span>. PMID:22098206</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.usgs.gov/of/2013/1170/a/pdf/of2013-1170a.pdf','USGSPUBS'); return false;" href="https://pubs.usgs.gov/of/2013/1170/a/pdf/of2013-1170a.pdf"><span>SAFRR (Science Application for Risk Reduction) <span class="hlt">Tsunami</span> Scenario--Executive Summary and Introduction: Chapter A in The SAFRR (Science Application for Risk Reduction) <span class="hlt">Tsunami</span> Scenario</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Ross, Stephanie L.; Jones, Lucile M.; Miller, Kevin H.; Porter, Keith A.; Wein, Anne; Wilson, Rick I.; Bahng, Bohyun; Barberopoulou, Aggeliki; Borrero, Jose C.; Brosnan, Deborah M.; Bwarie, John T.; Geist, Eric L.; Johnson, Laurie A.; Kirby, Stephen H.; Knight, William R.; Long, Kate; Lynett, Patrick; Mortensen, Carl E.; Nicolsky, Dmitry J.; Perry, Suzanne C.; Plumlee, Geoffrey S.; Real, Charles R.; Ryan, Kenneth; Suleimani, Elena; Thio, Hong Kie; Titov, Vasily V.; Whitmore, Paul M.; Wood, Nathan J.</p> <p>2013-01-01</p> <p>The Science Application for Risk Reduction (SAFRR) <span class="hlt">tsunami</span> scenario depicts a hypothetical but plausible <span class="hlt">tsunami</span> created by an earthquake offshore from the Alaska Peninsula and its impacts on the California coast. The <span class="hlt">tsunami</span> scenario is a collaboration between the U.S. Geological Survey (USGS), the California Geological Survey, the California Governor’s Office of Emergency Services (Cal OES), the National Oceanic and Atmospheric Administration (NOAA), other Federal, State, County, and local agencies, private companies, and academic and other institutions. This document presents evidence for past <span class="hlt">tsunamis</span>, the scientific basis for the source, likely inundation areas, current velocities in key ports and harbors, physical damage and repair costs, economic consequences, environmental and ecological impacts, social vulnerability, emergency management and evacuation challenges, and policy implications for California associated with this hypothetical <span class="hlt">tsunami</span>. We also discuss ongoing mitigation efforts by the State of California and new communication products. The intended users are those who need to make mitigation decisions before future <span class="hlt">tsunamis</span>, and those who will need to make rapid decisions during <span class="hlt">tsunami</span> events. The results of the <span class="hlt">tsunami</span> scenario will help managers understand the context and consequences of their decisions and how they may improve preparedness and response. An evaluation component will assess the effectiveness of the scenario process for target stakeholders in a separate report to improve similar efforts in the future.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2012AGUFMNH32A..04K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2012AGUFMNH32A..04K"><span><span class="hlt">Tsunami</span> Forecasting in the Atlantic Basin</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Knight, W. R.; Whitmore, P.; Sterling, K.; Hale, D. A.; Bahng, B.</p> <p>2012-12-01</p> <p>The mission of the West Coast and Alaska <span class="hlt">Tsunami</span> Warning Center (WCATWC) is to provide advance <span class="hlt">tsunami</span> warning and guidance to coastal communities within its Area-of-Responsibility (AOR). Predictive <span class="hlt">tsunami</span> models, based on the shallow water wave equations, are an important part of the Center's guidance support. An Atlantic-based counterpart to the long-standing forecasting ability in the Pacific known as the Alaska <span class="hlt">Tsunami</span> Forecast Model (ATFM) is now developed. The Atlantic forecasting method is based on ATFM version 2 which contains advanced capabilities over the original model; including better handling of the dynamic interactions between grids, inundation over dry land, new forecast model products, an optional non-hydrostatic approach, and the ability to pre-compute larger and more finely gridded regions using parallel computational techniques. The wide and nearly continuous Atlantic shelf region presents a challenge for forecast models. Our solution to this problem has been to develop a single unbroken high resolution sub-mesh (currently 30 arc-seconds), trimmed to the shelf break. This allows for edge wave propagation and for kilometer scale bathymetric feature resolution. Terminating the fine mesh at the 2000m isobath keeps the number of grid points manageable while allowing for a coarse (4 minute) mesh to adequately resolve deep water <span class="hlt">tsunami</span> dynamics. Higher resolution sub-meshes are then included around coastal forecast points of interest. The WCATWC Atlantic AOR includes eastern U.S. and Canada, the U.S. Gulf of Mexico, Puerto Rico, and the Virgin Islands. Puerto Rico and the Virgin Islands are in very close proximity to well-known <span class="hlt">tsunami</span> sources. Because travel times are under an hour and response must be immediate, our focus is on pre-computing many <span class="hlt">tsunami</span> source "scenarios" and compiling those results into a database accessible and calibrated with observations during an event. Seismic source evaluation determines the order of model pre</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013AGUFM.T22E..06R','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013AGUFM.T22E..06R"><span>Recurrence of great earthquakes and <span class="hlt">tsunamis</span>, Aceh Province, Sumatra</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Rubin, C. M.; Horton, B.; Sieh, K.; Pilarczyk, J.; Hawkes, A. D.; Daly, P.; Kelsey, H. M.; McKinnon, E.; Ismail, N.; Daryono, M. R.</p> <p>2013-12-01</p> <p>The timing and characterization of ancient earthquakes and <span class="hlt">tsunamis</span> inferred from a variety of geologic studies in Aceh Province, Sumatra, are helping to understand predecessors of the 2004 event in the Indian Ocean region. We report results from three different depositional environments along the western and northern coast of Aceh Province, Sumatra, that illuminate the history of <span class="hlt">tsunamis</span> through the past several millennia. Within a coastal cave along the western coast is an extraordinary sedimentary deposit that contains a 7,000-year long sequence of <span class="hlt">tsunami</span> sands separated by bat guano. In two sea cliff exposures along the northern coast of Aceh is evidence for two closely timed predecessors of the giant 2004 <span class="hlt">tsunami</span> that destroyed communities along the coast about 500 years ago. In addition, coastal wetlands along the western coast document land-level changes and <span class="hlt">tsunamis</span> associated with the earthquake cycle in the early- to mid-Holocene. Together these records show a marked variability in recurrence of large <span class="hlt">tsunamis</span> along the Acehnese coast. Time between inundations averages close to 500 years but range from a few centuries to a millennium.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2012AGUFMNH31D..06P','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2012AGUFMNH31D..06P"><span>New Approaches to <span class="hlt">Tsunami</span> Hazard Mitigation Demonstrated in Oregon</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Priest, G. R.; Rizzo, A.; Madin, I.; Lyles Smith, R.; Stimely, L.</p> <p>2012-12-01</p> <p>Oregon Department of Geology and Mineral Industries and Oregon Emergency Management collaborated over the last four years to increase <span class="hlt">tsunami</span> preparedness for residents and visitors to the Oregon coast. Utilizing support from the National <span class="hlt">Tsunami</span> Hazards Mitigation Program (NTHMP), new approaches to outreach and <span class="hlt">tsunami</span> hazard assessment were developed and then applied. Hazard assessment was approached by first doing two pilot studies aimed at calibrating theoretical models to direct observations of <span class="hlt">tsunami</span> inundation gleaned from the historical and prehistoric (paleoseismic/paleotsunami) data. The results of these studies were then submitted to peer-reviewed journals and translated into 1:10,000-12,000-scale inundation maps. The inundation maps utilize a powerful new <span class="hlt">tsunami</span> model, SELFE, developed by Joseph Zhang at the Oregon Health & Science University. SELFE uses unstructured computational grids and parallel processing technique to achieve fast accurate simulation of <span class="hlt">tsunami</span> interactions with fine-scale coastal morphology. The inundation maps were simplified into <span class="hlt">tsunami</span> evacuation zones accessed as map brochures and an interactive mapping portal at http://www.oregongeology.org/tsuclearinghouse/. Unique in the world are new evacuation maps that show separate evacuation zones for distant versus locally generated <span class="hlt">tsunamis</span>. The brochure maps explain that evacuation time is four hours or more for distant <span class="hlt">tsunamis</span> but 15-20 minutes for local <span class="hlt">tsunamis</span> that are invariably accompanied by strong ground shaking. Since distant <span class="hlt">tsunamis</span> occur much more frequently than local <span class="hlt">tsunamis</span>, the two-zone maps avoid needless over evacuation (and expense) caused by one-zone maps. Inundation mapping for the entire Oregon coast will be complete by ~2014. Educational outreach was accomplished first by doing a pilot study to measure effectiveness of various approaches using before and after polling and then applying the most effective methods. In descending order, the most effective</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://soundwaves.usgs.gov/2005/02/','USGSPUBS'); return false;" href="https://soundwaves.usgs.gov/2005/02/"><span>USGS scientists study sediment deposited by 2004 Indian Ocean <span class="hlt">tsunami</span></span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p></p> <p>2005-01-01</p> <p>In January, U.S. Geological Survey (USGS) scientists traveled to countries on the Indian Ocean to study sediment deposited by the devastating <span class="hlt">tsunami</span> of December 26, 2004. They hope to gain knowledge that will help them to identify ancient <span class="hlt">tsunami</span> deposits in the geologic record—which extends much farther into the past than written records—and so compile a history of <span class="hlt">tsunamis</span> that can be used to assess a region's future <span class="hlt">tsunami</span> risk.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/16898911','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/16898911"><span>Skin problems after a <span class="hlt">tsunami</span>.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Lee, S H; Choi, C P; Eun, H C; Kwon, O S</p> <p>2006-08-01</p> <p>On December 26, 2004, the biggest earthquake for 40 years, measuring 9.0 on the Richter scale, triggered a <span class="hlt">tsunami</span> that pounded the coastal areas of South Asia and East Africa. The effects of the <span class="hlt">tsunami</span> on skin conditions have not been evaluated. To determine the influence of the <span class="hlt">tsunami</span> on skin conditions by evaluating the skin problems of patients presenting at hospitals after the <span class="hlt">tsunami</span>. Between 5 and 25 January 2005, two dermatologists evaluated patients who complained of skin problems at an outpatient clinic and emergency room of a general hospital in Banda Aceh, Aceh Province, Indonesia. The total number of patients that presented during the study period was 235 (131 males and 104 females), and they had a total of 265 skin problems. In terms of age distribution, most subjects were in their fourth decade (23.0%), followed by the third (22.6%) and fifth decade (16.6%). The most prevalent skin problems were infections-infestations (32.5%), followed by eczemas (29.8%) and traumatic skin disorders (29.4%). In males, traumatic skin disorders were most common. The great majority of infection-infestation cases involved superficial fungal infections. Contact dermatitis accounted for three-quarters of eczema cases, and mainly involved the arms (40.0%) and legs (27.1%). The majority of traumatic skin disorders were lacerations, punctures and penetrations, and the feet (44.7%) and hands (18.8%) were most frequently affected. Unhygienic conditions, exposure to a hazardous environment and contact with various objects during and after the <span class="hlt">tsunami</span> probably increased the prevalence of infections-infestations, traumatic skin disorders and contact dermatitis. To prevent these problems and associated secondary bacterial infections, health-related education and early medical management are required.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://eosweb.larc.nasa.gov/project/misr/gallery/tsunami_sri_lanka','SCIGOV-ASDC'); return false;" href="https://eosweb.larc.nasa.gov/project/misr/gallery/tsunami_sri_lanka"><span><span class="hlt">Tsunami</span>: Sri Lanka</span></a></p> <p><a target="_blank" href="http://eosweb.larc.nasa.gov/">Atmospheric Science Data Center </a></p> <p></p> <p>2013-04-16</p> <p>...     View Larger Image The initial <span class="hlt">tsunami</span> waves resulting from the undersea earthquake ... ITSS/Jet Propulsion Laboratory); Michael Garay and David J. Diner (Jet Propulsion Laboratory, California Institute of Technology); and ...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/biblio/980702-scale-tsunami-analysis-critical-experiments-validation-systems','SCIGOV-STC'); return false;" href="https://www.osti.gov/biblio/980702-scale-tsunami-analysis-critical-experiments-validation-systems"><span>SCALE <span class="hlt">TSUNAMI</span> Analysis of Critical Experiments for Validation of 233U Systems</span></a></p> <p><a target="_blank" href="http://www.osti.gov/search">DOE Office of Scientific and Technical Information (OSTI.GOV)</a></p> <p>Mueller, Don; Rearden, Bradley T</p> <p>2009-01-01</p> <p>Oak Ridge National Laboratory (ORNL) staff used the SCALE <span class="hlt">TSUNAMI</span> tools to provide a demonstration evaluation of critical experiments considered for use in validation of current and anticipated operations involving {sup 233}U at the Radiochemical Development Facility (RDF). This work was reported in ORNL/TM-2008/196 <span class="hlt">issued</span> in January 2009. This paper presents the analysis of two representative safety analysis models provided by RDF staff.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2010AGUFM.U13A0013F','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2010AGUFM.U13A0013F"><span><span class="hlt">Tsunamis</span> triggered by the 12 January 2010 Earthquake in Haiti</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Fritz, H. M.; Hillaire, J. V.; Molière, E.; Mohammed, F.; Wei, Y.</p> <p>2010-12-01</p> <p>On 12 January 2010 a magnitude Mw 7.0 earthquake occurred 25 km west-southwest of Haiti’s Capital of Port-au-Prince, which resulted in more than 230,000 fatalities. In addition <span class="hlt">tsunami</span> waves triggered by the earthquake caused at least 3 fatalities at Petit Paradis. Unfortunately, the people of Haiti had neither ancestral knowledge nor educational awareness of <span class="hlt">tsunami</span> hazards despite the 1946 Dominican Republic <span class="hlt">tsunami</span> at Hispaniola’s northeast coast. In sharp contrast Sri Lankan UN-soldiers on duty at Jacmel self-evacuated given the memory of the 2004 Indian Ocean <span class="hlt">tsunami</span>. The International <span class="hlt">Tsunami</span> Survey Team (ITST) documented flow depths, runup heights, inundation distances, sediment deposition, damage patterns at various scales, and performance of the man-made infrastructure and impact on the natural environment. The 31 January to 7 February 2010 ITST covered the greater Bay of Port-au-Prince and more than 100 km of Hispaniola’s south coast between Pedernales, Dominican Republic and Jacmel, Haiti. The Hispaniola survey data includes more than 20 runup and flow depth measurements. The <span class="hlt">tsunami</span> impacts peaked with maximum flow depths exceeding 3 m both at Petit Paradis inside the Bay of Grand Goâve located 45 km west-southwest of Port-au-Prince and at Jacmel on Haiti’s south coast. A significant variation in <span class="hlt">tsunami</span> impact was observed on Hispaniola and <span class="hlt">tsunami</span> runup of more than 1 m was still observed at Pedernales in the Dominican Republic. Jacmel, which is near the center of the south coast, represents an unfortunate example of a village and harbor that was located for protection from storm waves but is vulnerable to <span class="hlt">tsunami</span> waves with runup doubling from the entrance to the head of the bay. Inundation and damage was limited to less than 100 m inland at both Jacmel and Petit Paradis. Differences in wave period were documented between the <span class="hlt">tsunami</span> waves at Petit Paradis and Jacmel. The Petit Paradis <span class="hlt">tsunami</span> is attributed to a coastal submarine landslide</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFMNH23A0205S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFMNH23A0205S"><span>How Perturbing Ocean Floor Disturbs <span class="hlt">Tsunami</span> Waves</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Salaree, A.; Okal, E.</p> <p>2017-12-01</p> <p>Bathymetry maps play, perhaps the most crucial role in optimal <span class="hlt">tsunami</span> simulations. Regardless of the simulation method, on one hand, it is desirable to include every detailed bathymetry feature in the simulation grids in order to predict <span class="hlt">tsunami</span> amplitudes as accurately as possible, but on the other hand, large grids result in long simulation times. It is therefore, of interest to investigate a "sufficiency" level - if any - for the amount of details in bathymetry grids needed to reconstruct the most important features in <span class="hlt">tsunami</span> simulations, as obtained from the actual bathymetry. In this context, we use a spherical harmonics series approach to decompose the bathymetry of the Pacific ocean into its components down to a resolution of 4 degrees (l=100) and create bathymetry grids by accumulating the resulting terms. We then use these grids to simulate the <span class="hlt">tsunami</span> behavior from pure thrust events around the Pacific through the MOST algorithm (e.g. Titov & Synolakis, 1995; Titov & Synolakis, 1998). Our preliminary results reveal that one would only need to consider the sum of the first 40 coefficients (equivalent to a resolution of 1000 km) to reproduce the main components of the "real" results. This would result in simpler simulations, and potentially allowing for more efficient <span class="hlt">tsunami</span> warning algorithms.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014AGUFMNH13A3725B','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014AGUFMNH13A3725B"><span>ASTARTE: Assessment Strategy and Risk Reduction for <span class="hlt">Tsunamis</span> in Europe</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Baptista, M. A.; Yalciner, A. C.; Canals, M.</p> <p>2014-12-01</p> <p><span class="hlt">Tsunamis</span> are low frequency but high impact natural disasters. In 2004, the Boxing Day <span class="hlt">tsunami</span> killed hundreds of thousands of people from many nations along the coastlines of the Indian Ocean. <span class="hlt">Tsunami</span> run-up exceeded 35 m. Seven years later, and in spite of some of the best warning technologies and levels of preparedness in the world, the Tohoku-Oki <span class="hlt">tsunami</span> in Japan dramatically showed the limitations of scientific knowledge on <span class="hlt">tsunami</span> sources, coastal impacts and mitigation measures. The experience from Japan raised serious questions on how to improve the resilience of coastal communities, to upgrade the performance of coastal defenses, to adopt a better risk management, and also on the strategies and priorities for the reconstruction of damaged coastal areas. Societal resilience requires the reinforcement of capabilities to manage and reduce risk at national and local scales.ASTARTE (Assessment STrategy And Risk for <span class="hlt">Tsunami</span> in Europe), a 36-month FP7 project, aims to develop a comprehensive strategy to mitigate <span class="hlt">tsunami</span> impact in this region. To achieve this goal, an interdisciplinary consortium has been assembled. It includes all CTWPs of NEAM and expert institutions across Europe and worldwide. ASTARTE will improve i) basic knowledge of <span class="hlt">tsunami</span> generation and recurrence going beyond simple catalogues, with novel empirical data and new statistical analyses for assessing long-term recurrence and hazards of large events in sensitive areas of NEAM, ii) numerical techniques for <span class="hlt">tsunami</span> simulation, with focus on real-time codes and novel statistical emulation approaches, and iii) methods for assessment of hazard, vulnerability, and risk. ASTARTE will also provide i) guidelines for <span class="hlt">tsunami</span> Eurocodes, ii) better tools for forecast and warning for CTWPs and NTWCs, and iii) guidelines for decision makers to increase sustainability and resilience of coastal communities. In summary, ASTARTE will develop basic scientific and technical elements allowing for a significant</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2008AGUFM.S14B..04O','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2008AGUFM.S14B..04O"><span>Earthquake and <span class="hlt">Tsunami</span> planning, outreach and awareness in Humboldt County, California</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Ozaki, V.; Nicolini, T.; Larkin, D.; Dengler, L.</p> <p>2008-12-01</p> <p>Humboldt County has the longest coastline in California and is one of the most seismically active areas of the state. It is at risk from earthquakes located on and offshore and from <span class="hlt">tsunamis</span> generated locally from faults associated with the Cascadia subduction zone (CSZ), other regional fault systems, and from distant sources elsewhere in the Pacific. In 1995 the California Division of Mines and Geology published the first earthquake scenario to include both strong ground shaking effects and a <span class="hlt">tsunami</span>. As a result of the scenario, the Redwood Coast <span class="hlt">Tsunami</span> Work Group (RCTWG), an organization of representatives from government agencies, tribes, service groups, academia and the private sector from the three northern coastal California counties, was formed in 1996 to coordinate and promote earthquake and <span class="hlt">tsunami</span> hazard awareness and mitigation. The RCTWG and its member agencies have sponsored a variety of projects including education/outreach products and programs, <span class="hlt">tsunami</span> hazard mapping, signage and siren planning, and has sponsored an Earthquake - <span class="hlt">Tsunami</span> Education Room at the Humboldt County fair for the past eleven years. Three editions of Living on Shaky Ground an earthquake-<span class="hlt">tsunami</span> preparedness magazine for California's North Coast, have been published since 1993 and a fourth is due to be published in fall 2008. In 2007, Humboldt County was the first region in the country to participate in a <span class="hlt">tsunami</span> training exercise at FEMA's Emergency Management Institute in Emmitsburg, MD and the first area in California to conduct a full-scale <span class="hlt">tsunami</span> evacuation drill. The County has conducted numerous multi-agency, multi-discipline coordinated exercises using county-wide <span class="hlt">tsunami</span> response plan. Two Humboldt County communities were recognized as <span class="hlt">Tsunami</span>Ready by the National Weather Service in 2007. Over 300 <span class="hlt">tsunami</span> hazard zone signs have been posted in Humboldt County since March 2008. Six assessment surveys from 1993 to 2006 have tracked preparedness actions and personal</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/28203640','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/28203640"><span><span class="hlt">Tsunami</span> mitigation by resonant triad interaction with acoustic-gravity waves.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Kadri, Usama</p> <p>2017-01-01</p> <p><span class="hlt">Tsunamis</span> have been responsible for the loss of almost a half million lives, widespread long lasting destruction, profound environmental effects, and global financial crisis, within the last two decades. The main <span class="hlt">tsunami</span> properties that determine the size of impact at the shoreline are its wavelength and amplitude in the ocean. Here, we show that it is in principle possible to reduce the amplitude of a <span class="hlt">tsunami</span>, and redistribute its energy over a larger space, through forcing it to interact with resonating acoustic-gravity waves. In practice, generating the appropriate acoustic-gravity modes introduces serious challenges due to the high energy required for an effective interaction. However, if the findings are extended to realistic <span class="hlt">tsunami</span> properties and geometries, we might be able to mitigate <span class="hlt">tsunamis</span> and so save lives and properties. Moreover, such a mitigation technique would allow for the harnessing of the <span class="hlt">tsunami</span>'s energy.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2007AGUFM.U54A..05F','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2007AGUFM.U54A..05F"><span><span class="hlt">Tsunami</span> waveform inversion of the 2007 Bengkulu, southern Sumatra earthquake</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Fujii, Y.; Satake, K.</p> <p>2007-12-01</p> <p>We have performed <span class="hlt">tsunami</span> waveform inversion for the 2007 Bengkulu, southern Sumatra earthquake on September 12, 2007 (4.520°S, 101.374°E, Mw=8.4 at 11:10:26 UTC according to USGS), and found that the large slips were located on deeper part (> 20 km) of the fault plane, more than 100 km from the trench axis. The deep slip might have contributed the relatively small <span class="hlt">tsunami</span> for its earthquake size. The largest slips more than 6 m were located beneath Pagais Islands, about 100-200 km northwest of the epicenter. The obtained slip distribution yields a total seismic moment of 3.6 × 1021 Nm (Mw = 8.3). The <span class="hlt">tsunami</span> generated by this earthquake was recorded at many tide gauge stations located in and around the Indian Ocean. The DART system installed in deep ocean and maintained by Thai Meteorological Department (TMD) also captured this <span class="hlt">tsunami</span>. We have downloaded the <span class="hlt">tsunami</span> waveforms at 16 stations from University of Hawaii Sea Level Center's (UHSLC) and National Oceanic & Atmospheric Administration's (NOAA) web sites. The observed <span class="hlt">tsunami</span> records indicate that the <span class="hlt">tsunami</span> amplitudes were less than several tens of cm at most stations, around 1 m at Padang, nearest station to the source, and a few cm at DART station. For the <span class="hlt">tsunami</span> waveforms inversion, we divided the source area (length: 250 km, width: 200 km) into 20 subfaults. <span class="hlt">Tsunami</span> waveforms from each subfault (50 km × 50 km) or Greens functions were calculated by numerically solving the linear shallow-water long-wave equations. We adopted the focal mechanism of Global CMT solution (strike: 327°, dip: 12°, rake: 114°) for each subfault, and assumed a rise time of 1 min. The computed <span class="hlt">tsunami</span> waveforms from the estimated slip distribution explain the observed waveforms at most of tide gauges and DART station.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2011AGUFMNH12A..06O','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2011AGUFMNH12A..06O"><span>Ironic Effects of the Destructive <span class="hlt">Tsunami</span> on Public Risk Judgment</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Oki, S.; Nakayachi, K.</p> <p>2011-12-01</p> <p>The 2011 Tohoku earthquake caused more than 20,000 casualties, with most of the dead and missing in an enormous <span class="hlt">tsunami</span>. Survivors had simply evacuated to higher ground within approximately 30 minutes of its arrival. This reflects the importance of public perception of <span class="hlt">tsunami</span> risks represented by its heights. Our question is how the devastating <span class="hlt">tsunami</span> affected people in the western Japan where a great earthquake is anticipated in near future. Existing risk analysis researches show that the experience of natural disasters increases risk perception, even with indirect experiences such as seeing photographs of disaster scenes or thinking about a major natural calamity. No doubt, we can assume that the devastating <span class="hlt">tsunami</span> would have led people to have a greater sense of associated risks. Our result, however, shows that the destructive <span class="hlt">tsunami</span> of Tohoku earthquake lowered the risk assessment of <span class="hlt">tsunami</span> heights. One possible explanation to this paradoxical result is the anchoring heuristic. It defines that laypersons are highly inclined to judge based on the numbers first presented to them. Media's repeating report of record-breaking <span class="hlt">tsunamis</span> of 30 m or more anchored people to elevate the height to evacuate. The results of our survey pose a significant problem for disaster prevention. The survey area is at high risk of giant earthquake, and according to our results, more than 50% of the people surveyed no longer sensed the danger of a 1-m-high <span class="hlt">tsunami</span>, whereas about 70% had perceived its peril before the Tohoku earthquake. This is also of great importance in Indonesia or Chile where huge earthquakes had occurred recently. We scientists need to face up to the fact that improvement of quick calculation of <span class="hlt">tsunami</span> heights is not sufficient at all to mitigate the <span class="hlt">tsunami</span> disasters, but reorient how we should inform laypersons to evacuate at the emergency situation.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFMNH23A0203S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFMNH23A0203S"><span>Estimation of the Characterized <span class="hlt">Tsunami</span> Source Model considering the Complicated Shape of <span class="hlt">Tsunami</span> Source by Using the observed waveforms of GPS Buoys in the Nankai Trough</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Seto, S.; Takahashi, T.</p> <p>2017-12-01</p> <p>In the 2011 Tohoku earthquake <span class="hlt">tsunami</span> disaster, the delay of understanding damage situation increased the human damage. To solve this problem, it is important to search the severe damaged areas. The <span class="hlt">tsunami</span> numerical modeling is useful to estimate damages and the accuracy of simulation depends on the <span class="hlt">tsunami</span> source. Seto and Takahashi (2017) proposed a method to estimate the characterized <span class="hlt">tsunami</span> source model by using the limited observed data of GPS buoys. The model consists of Large slip zone (LSZ), Super large slip zone (SLSZ) and background rupture zone (BZ) as the Cabinet Office, Government of Japan (below COGJ) reported after the Tohoku <span class="hlt">tsunami</span>. At the beginning of this method, the rectangular fault model is assumed based on the seismic magnitude and hypocenter reported right after an earthquake. By using the fault model, <span class="hlt">tsunami</span> propagation is simulated numerically, and the fault model is improved after comparing the computed data with the observed data repeatedly. In the comparison, correlation coefficient and regression coefficient are used as indexes. They are calculated with the observed and the computed <span class="hlt">tsunami</span> wave profiles. This repetition is conducted to get the two coefficients close to 1.0, which makes the precise of the fault model higher. However, it was indicated as the improvement that the model did not examine a complicated shape of <span class="hlt">tsunami</span> source. In this study, we proposed an improved model to examine the complicated shape. COGJ(2012) assumed that possible <span class="hlt">tsunami</span> source region in the Nankai trough consisted of the several thousands small faults. And, we use these small faults to estimate the targeted <span class="hlt">tsunami</span> source in this model. Therefore, we can estimate the complicated <span class="hlt">tsunami</span> source by using these small faults. The estimation of BZ is carried out as a first step, and LSZ and SLSZ are estimated next as same as the previous model. The proposed model by using GPS buoy was applied for a <span class="hlt">tsunami</span> scenario in the Nankai Trough. As a result</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_21");'>21</a></li> <li><a href="#" onclick='return showDiv("page_22");'>22</a></li> <li class="active"><span>23</span></li> <li><a href="#" onclick='return showDiv("page_24");'>24</a></li> <li><a href="#" onclick='return showDiv("page_25");'>25</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_23 --> <div id="page_24" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_21");'>21</a></li> <li><a href="#" onclick='return showDiv("page_22");'>22</a></li> <li><a href="#" onclick='return showDiv("page_23");'>23</a></li> <li class="active"><span>24</span></li> <li><a href="#" onclick='return showDiv("page_25");'>25</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="461"> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2011AGUFM.S14A..03F','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2011AGUFM.S14A..03F"><span>The Chile <span class="hlt">tsunami</span> of 27 February 2010: Field survey and modeling</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Fritz, H. M.; Petroff, C. M.; Catalan, P. A.; Cienfuegos, R.; Winckler, P.; Kalligeris, N.; Weiss, R.; Meneses, G.; Valderas-Bermejo, C.; Barrientos, S. E.; Ebeling, C. W.; Papadopoulos, A.; Contreras, M.; Almar, R.; Dominguez, J.; Synolakis, C.</p> <p>2011-12-01</p> <p>On 27 February, 2010 a magnitude Mw 8.8 earthquake occurred off the coast of Chile's Maule region some 100 km N of Concepción, causing substantial damage and loss of life on Chile's mainland and the Juan Fernandez archipelago. The majority of the 521 fatalities are attributed to the earthquake, while the <span class="hlt">tsunami</span> accounts for 124 victims. Fortunately, ancestral knowledge from past <span class="hlt">tsunamis</span> such as the giant 1960 event, as well as <span class="hlt">tsunami</span> education and evacuation exercises prompted most coastal residents to spontaneously evacuate to high ground after the earthquake. The majority of the <span class="hlt">tsunami</span> victims were tourists staying overnight in low lying camp grounds along the coast. A multi-disciplinary international <span class="hlt">tsunami</span> survey team (ITST) was deployed within days of the event to document flow depths, runup heights, inundation distances, sediment deposition, damage patterns at various scales, performance of the man-made infrastructure and impact on the natural environment. The 3 to 25 March ITST covered an 800 km stretch of coastline from Quintero to Mehuín in various subgroups the Pacific Islands of Santa María, Juan Fernández Archipelago, and Rapa Nui (Easter), while Mocha Island was surveyed 21 to 23 May, 2010. The collected survey data includes more than 400 <span class="hlt">tsunami</span> runup and flow depth measurements. The <span class="hlt">tsunami</span> impact peaked with a localized maximum runup of 29 m on a coastal bluff at Constitución and 23 m on marine terraces on Mocha Island. A significant variation in <span class="hlt">tsunami</span> impact was observed along Chile's mainland both at local and regional scales. Inundation and damage also occurred several kilometres inland along rivers. Eyewitness <span class="hlt">tsunami</span> videos are analysed and flooding velocities presented. Observations from the Chile <span class="hlt">tsunami</span> are compared against the 1960 Chile, 2004 Indian Ocean and 2011 Tohoku Japan <span class="hlt">tsunamis</span>. The tsunamigenic seafloor displacements were partially characterized based on coastal uplift measurements along a 100 km stretch of coastline</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AGUFMNH23C1899B','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AGUFMNH23C1899B"><span>The Use of Intensity Scales In Exploiting <span class="hlt">Tsunami</span> Historical Databases</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Barberopoulou, A.; Scheele, F.</p> <p>2015-12-01</p> <p>Post-disaster assessments for historical <span class="hlt">tsunami</span> events (>15 years old) are either scarce or contain limited information. In this study, we are assessing ways to examine <span class="hlt">tsunami</span> impacts by utilizing data from old events, but more importantly we examine how to best utilize information contained in <span class="hlt">tsunami</span> historical databases, in order to provide meaningful products that describe the impact of the event. As such, a <span class="hlt">tsunami</span> intensity scale was applied to two historical events that were observed in New Zealand (one local and one distant), in order to utilize the largest possible number of observations in our dataset. This is especially important for countries like New Zealand where the <span class="hlt">tsunami</span> historical record is short, going back to only the 19th century, and where instrument recordings are only available for the most recent events. We found that despite a number of challenges in using intensities -uncertainties partly due to limitations of historical event data - these data with the help of GIS tools can be used to produce hazard maps and offer an alternative way to exploit <span class="hlt">tsunami</span> historical records. Most importantly the assignment of intensities at each point of observation allows for utilization of many more observations than if one depends on physical information alone, such as water heights. We hope these results may be used towards developing a well-defined methodology for hazard assessments, and refine our knowledge for past <span class="hlt">tsunami</span> events for which the <span class="hlt">tsunami</span> sources are largely unknown, and also for when physical quantities describing the <span class="hlt">tsunami</span> (e.g. water height, flood depth, run-up) are scarce.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.usgs.gov/of/2013/1170/i/pdf/of2013-1170i.pdf','USGSPUBS'); return false;" href="https://pubs.usgs.gov/of/2013/1170/i/pdf/of2013-1170i.pdf"><span>Population vulnerability and evacuation challenges in California for the SAFRR <span class="hlt">tsunami</span> scenario: Chapter I in The SAFRR (Science Application for Risk Reduction) <span class="hlt">Tsunami</span> Scenario</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Wood, Nathan; Ratliff, Jamie; Peters, Jeff; Shoaf, Kimberley</p> <p>2013-01-01</p> <p>The SAFRR <span class="hlt">tsunami</span> scenario models the impacts of a hypothetical yet plausible <span class="hlt">tsunami</span> associated with a magnitude 9.1 megathrust earthquake east of the Alaska Peninsula. This report summarizes community variations in population vulnerability and potential evacuation challenges to the <span class="hlt">tsunami</span>. The most significant public-health concern for California coastal communities during a distant-source <span class="hlt">tsunami</span> is the ability to evacuate people out of potential inundation zones. Fatalities from the SAFRR <span class="hlt">tsunami</span> scenario could be low if emergency managers can implement an effective evacuation in the time between <span class="hlt">tsunami</span> generation and arrival, as well as keep people from entering <span class="hlt">tsunami</span>-prone areas until all-clear messages can be delivered. This will be challenging given the estimated 91,956 residents, 81,277 employees, as well as numerous public venues, dependent-population facilities, community-support businesses, and high-volume beaches that are in the 79 incorporated communities and 17 counties that have land in the scenario <span class="hlt">tsunami</span>-inundation zone. Although all coastal communities face some level of threat from this scenario, the highest concentrations of people in the scenario <span class="hlt">tsunami</span>-inundation zone are in Long Beach, San Diego, Newport Beach, Huntington Beach, and San Francisco. Communities also vary in the prevalent categories of populations that are in scenario <span class="hlt">tsunami</span>-inundation zones, such as residents in Long Beach, employees in San Francisco, tourists at public venues in Santa Cruz, and beach or park visitors in unincorporated Los Angeles County. Certain communities have higher percentages of groups that may need targeted outreach and preparedness training, such as renters, the very young and very old, and individuals with limited English-language skills or no English-language skills at all. Sustained education and targeted evacuation messaging is also important at several high-occupancy public venues in the scenario <span class="hlt">tsunami</span>-inundation zone (for example, city</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016PApGe.173.3847G','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016PApGe.173.3847G"><span>Impact of Hellenic Arc <span class="hlt">Tsunamis</span> on Corsica (France)</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Gailler, Audrey; Schindelé, F.; Hébert, H.</p> <p>2016-12-01</p> <p>In the historical period, the Eastern Mediterranean has been devastated by several <span class="hlt">tsunamis</span>, the two most damaging were those of AD 365 and AD 1303, generated by great earthquakes of magnitude >8 at the Hellenic plate boundary. Recently, events of 6-7 magnitude have occurred in this region. As the French <span class="hlt">tsunami</span> warning center has to ensure the warning for the French coastlines, the question has raised the possibility for a major <span class="hlt">tsunami</span> triggered along the Hellenic arc to impact the French coasts. The focus is on the Corsica coasts especially, to estimate what would be the expected wave heights, and from which threshold of magnitude it would be necessary to put the population under cover. This study shows that a magnitude 8.0 earthquake nucleated along the Hellenic arc could induce in some cases a <span class="hlt">tsunami</span> that would be observed along the Corsica coasts, and for events of 8.5 magnitude amplitudes exceeding 50 cm can be expected, which would be dangerous in harbors and beach areas especially. The main contribution of these results is the establishment of specific thresholds of magnitude for the <span class="hlt">tsunami</span> warning along the French coasts, 7.8 for the advisory level (coastal marine threat with harbors and beaches evacuation), and 8.3 for the watch level (inland inundation threat) for <span class="hlt">tsunamis</span> generated along the Hellenic arc.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.usgs.gov/sir/2007/5283/','USGSPUBS'); return false;" href="https://pubs.usgs.gov/sir/2007/5283/"><span>Variations in City Exposure and Sensitivity to <span class="hlt">Tsunami</span> Hazards in Oregon</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Wood, Nathan</p> <p>2007-01-01</p> <p>Evidence of past events and modeling of potential future events suggest that <span class="hlt">tsunamis</span> are significant threats to Oregon coastal communities. Although a potential <span class="hlt">tsunami</span>-inundation zone from a Cascadia Subduction Zone earthquake has been delineated, what is in this area and how communities have chosen to develop within it have not been documented. A vulnerability assessment using geographic-information-system tools was conducted to describe <span class="hlt">tsunami</span>-prone landscapes on the Oregon coast and to document city variations in developed land, human populations, economic assets, and critical facilities relative to the <span class="hlt">tsunami</span>-inundation zone. Results indicate that the Oregon <span class="hlt">tsunami</span>-inundation zone contains approximately 22,201 residents (four percent of the total population in the seven coastal counties), 14,857 employees (six percent of the total labor force), and 53,714 day-use visitors on average every day to coastal Oregon State Parks within the <span class="hlt">tsunami</span>-inundation zone. The <span class="hlt">tsunami</span>-inundation zone also contains 1,829 businesses that generate approximately $1.9 billion in annual sales volume (seven and five percent of study-area totals, respectively) and tax parcels with a combined total value of $8.2 billion (12 percent of the study-area total). Although occupancy values are not known for each facility, the <span class="hlt">tsunami</span>-inundation zone also contains numerous dependent-population facilities (for example, adult-residential-care facilities, child-day-care facilities, and schools), public venues (for example, religious organizations and libraries), and critical facilities (for example, police stations). Racial diversity of residents in the <span class="hlt">tsunami</span>-inundation zone is low, with 96 percent identifying themselves as White, either alone or in combination with one or more race. Twenty-two percent of the residents in the <span class="hlt">tsunami</span>-inundation zone are over 65 years in age, 36 percent of the residents live on unincorporated county lands, and 37 percent of the households are renter</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016NHESS..16.1967B','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016NHESS..16.1967B"><span>New study on the 1941 Gloria Fault earthquake and <span class="hlt">tsunami</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Baptista, Maria Ana; Miranda, Jorge Miguel; Batlló, Josep; Lisboa, Filipe; Luis, Joaquim; Maciá, Ramon</p> <p>2016-08-01</p> <p>The M ˜ 8.3-8.4 25 November 1941 was one of the largest submarine strike-slip earthquakes ever recorded in the Northeast (NE) Atlantic basin. This event occurred along the Eurasia-Nubia plate boundary between the Azores and the Strait of Gibraltar. After the earthquake, the tide stations in the NE Atlantic recorded a small <span class="hlt">tsunami</span> with maximum amplitudes of 40 cm peak to through in the Azores and Madeira islands. In this study, we present a re-evaluation of the earthquake epicentre location using seismological data not included in previous studies. We invert the <span class="hlt">tsunami</span> travel times to obtain a preliminary <span class="hlt">tsunami</span> source location using the backward ray tracing (BRT) technique. We invert the <span class="hlt">tsunami</span> waveforms to infer the initial sea surface displacement using empirical Green's functions, without prior assumptions about the geometry of the source. The results of the BRT simulation locate the <span class="hlt">tsunami</span> source quite close to the new epicentre. This fact suggests that the co-seismic deformation of the earthquake induced the <span class="hlt">tsunami</span>. The waveform inversion of <span class="hlt">tsunami</span> data favours the conclusion that the earthquake ruptured an approximately 160 km segment of the plate boundary, in the eastern section of the Gloria Fault between -20.249 and -18.630° E. The results presented here contribute to the evaluation of <span class="hlt">tsunami</span> hazard in the Northeast Atlantic basin.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014AGUFMNH21A3834N','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014AGUFMNH21A3834N"><span>Comparison between Observed <span class="hlt">Tsunami</span> Heights and Numerical Simulation of the 1854 Ansei-Tokai Earthquake <span class="hlt">Tsunami</span> in Gokasho Bay, central Japan</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Naruhashi, R.; Satake, K.; Heidarzadeh, M.; Harada, T.</p> <p>2014-12-01</p> <p> Gokasho Bay is a blockade inner bay which has typical ria coasts and drowned valleys. It is located in the central Kii Peninsula and faces the Nankai Trough subduction zone. This Kumano-nada coastal area has been repeatedly striked by historical great <span class="hlt">tsunamis</span>. For the 1854 Ansei-Tokai earthquake and its <span class="hlt">tsunami</span>, there are comparatively many historical records including historical documents and oral traditions for <span class="hlt">tsunami</span> behavior and damages along the coast. Based on these records, a total of 42 <span class="hlt">tsunami</span> heights were measured by using a laser range finder and a hand level on the basis of spot elevation given by 1/2500 topographical maps. The average inundation height of whole bay area was approximately 4 - 5 m. On the whole, in the closed-off section of the bay, large values were obtained. For example, the average value in Gokasho-ura town area was 4 m, and the maximum run-up height along the Gokasho river was 6.8 m. Particularly in Konsa, located in the most closed-off section of the bay, <span class="hlt">tsunami</span> heights ranged between 4 - 11 m, and were higher than those in other districts. It was comparatively high along the eastern coast and eastern baymouth. We simulate the distribution of the <span class="hlt">tsunami</span> wave heights using numerical modeling, and compare the simulation results and above-mentioned actual historical data and results of our field survey. Based on fault models by Ando (1975), Aida (1981), and Annaka et al. (2003), the <span class="hlt">tsunami</span> simulation was performed. After comparing the calculated results by three fault models, the wave height based on the model by Annaka et al. (2003) was found to have better agreement with observations. Moreover, the wave height values in a closed-off section of bay and at the eastern baymouth are high consistent with our survey data.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2010AGUFM.G33A0830U','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2010AGUFM.G33A0830U"><span>Modeling influence of tide stages on forecasts of the 2010 Chilean <span class="hlt">tsunami</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Uslu, B. U.; Chamberlin, C.; Walsh, D.; Eble, M. C.</p> <p>2010-12-01</p> <p>The impact of the 2010 Chilean <span class="hlt">tsunami</span> is studied using the NOAA high-resolution <span class="hlt">tsunami</span> forecast model augmented to include modeled tide heights in addition to deep-water <span class="hlt">tsunami</span> propagation as boundary-condition input. The Chilean <span class="hlt">tsunami</span> was observed at the Los Angeles tide station at mean low water, Hilo at low, Pago Pago at mid tide and Wake Island near high tide. Because the <span class="hlt">tsunami</span> arrived at coastal communities at a representative variety of tide stages, 2010 Chile <span class="hlt">tsunami</span> provides opportunity to study the <span class="hlt">tsunami</span> impacts at different tide levels to different communities. The current forecast models are computed with a constant tidal stage, and this study evaluates techniques for adding an additional varying predicted tidal component in a forecasting context. Computed wave amplitudes, wave currents and flooding are compared at locations around the Pacific, and the difference in <span class="hlt">tsunami</span> impact due to tidal stage is studied. This study focuses on how <span class="hlt">tsunami</span> impacts vary with different tide levels, and helps us understand how the inclusion of tidal components can improve real-time forecast accuracy.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUFMIN32A..06B','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUFMIN32A..06B"><span>Seismogeodesy for rapid earthquake and <span class="hlt">tsunami</span> characterization</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Bock, Y.</p> <p>2016-12-01</p> <p>Rapid estimation of earthquake magnitude and fault mechanism is critical for earthquake and <span class="hlt">tsunami</span> warning systems. Traditionally, the monitoring of earthquakes and <span class="hlt">tsunamis</span> has been based on seismic networks for estimating earthquake magnitude and slip, and tide gauges and deep-ocean buoys for direct measurement of <span class="hlt">tsunami</span> waves. These methods are well developed for ocean basin-wide warnings but are not timely enough to protect vulnerable populations and infrastructure from the effects of local <span class="hlt">tsunamis</span>, where waves may arrive within 15-30 minutes of earthquake onset time. Direct measurements of displacements by GPS networks at subduction zones allow for rapid magnitude and slip estimation in the near-source region, that are not affected by instrumental limitations and magnitude saturation experienced by local seismic networks. However, GPS displacements by themselves are too noisy for strict earthquake early warning (P-wave detection). Optimally combining high-rate GPS and seismic data (in particular, accelerometers that do not clip), referred to as seismogeodesy, provides a broadband instrument that does not clip in the near field, is impervious to magnitude saturation, and provides accurate real-time static and dynamic displacements and velocities in real time. Here we describe a NASA-funded effort to integrate GPS and seismogeodetic observations as part of NOAA's <span class="hlt">Tsunami</span> Warning Centers in Alaska and Hawaii. It consists of a series of plug-in modules that allow for a hierarchy of rapid seismogeodetic products, including automatic P-wave picking, hypocenter estimation, S-wave prediction, magnitude scaling relationships based on P-wave amplitude (Pd) and peak ground displacement (PGD), finite-source CMT solutions and fault slip models as input for <span class="hlt">tsunami</span> warnings and models. For the NOAA/NASA project, the modules are being integrated into an existing USGS Earthworm environment, currently limited to traditional seismic data. We are focused on a network of</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018JGRC..123.2965T','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018JGRC..123.2965T"><span><span class="hlt">Tsunami</span> Waves and <span class="hlt">Tsunami</span>-Induced Natural Oscillations Determined by HF Radar in Ise Bay, Japan</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Toguchi, Y.; Fujii, S.; Hinata, H.</p> <p>2018-04-01</p> <p><span class="hlt">Tsunami</span> waves and the subsequent natural oscillations generated by the 2011 Tohoku earthquake were observed by two high-frequency (HF) radars and four tidal gauge records in Ise Bay. The radial velocity components of both records increased abruptly at approximately 17:00 (JST) and continued for more than 24 h. This indicated that natural oscillations followed the <span class="hlt">tsunami</span> in Ise Bay. The spectral analyses showed that the <span class="hlt">tsunami</span> wave arrivals had periods of 16-19, 30-40, 60-90, and 120-140 min. The three longest periods were remarkably amplified. Time-frequency analysis also showed the energy increase and duration of these periods. We used an Empirical Orthogonal Function (EOF) to analyze the total velocity of the currents to find the underlying oscillation patterns in the three longest periods. To verify the physical properties of the EOF analysis results, we calculated the oscillation modes in Ise Bay using a numerical model proposed by Loomis. The results of EOF analysis showed that the oscillation modes of 120-140 and 60-90 min period bands were distributed widely, whereas the oscillation mode of the 30-40 min period band was distributed locally. The EOF spatial patterns of each period showed good agreement with the eigenmodes calculated by the method of Loomis (1975). Thus, the HF radars were capable of observing the <span class="hlt">tsunami</span> arrival and the subsequent oscillations.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.usgs.gov/of/2013/1170/g/pdf/ofr2013-1170g.pdf','USGSPUBS'); return false;" href="https://pubs.usgs.gov/of/2013/1170/g/pdf/ofr2013-1170g.pdf"><span>SAFRR <span class="hlt">tsunami</span> scenario: Impacts on California ecosystems, species, marine natural resources, and fisheries: Chapter G in The SAFRR (Science Application for Risk Reduction) <span class="hlt">Tsunami</span> Scenario</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Brosnan, Deborah; Wein, Anne; Wilson, Rick; Ross, Stephanie L.; Jones, Lucile</p> <p>2014-01-01</p> <p>We evaluate the effects of the SAFRR <span class="hlt">Tsunami</span> Scenario on California’s ecosystems, species, natural resources, and fisheries. We discuss mitigation and preparedness approaches that can be useful in <span class="hlt">Tsunami</span> planning. The chapter provides an introduction to the role of ecosystems and natural resources in <span class="hlt">tsunami</span> events (Section 1). A separate section focuses on specific impacts of the SAFRR <span class="hlt">Tsunami</span> Scenario on California’s ecosystems and endangered species (Section 2). A section on commercial fisheries and the fishing fleet (Section 3) documents the plausible effects on California’s commercial fishery resources, fishing fleets, and communities. Sections 2 and 3 each include practical preparedness options for communities and suggestions on information needs or research.Our evaluation indicates that many low-lying coastal habitats, including beaches, marshes and sloughs, rivers and waterways connected to the sea, as well as nearshore submarine habitats will be damaged by the SAFRR <span class="hlt">Tsunami</span> Scenario. Beach erosion and complex or high volumes of <span class="hlt">tsunami</span>-generated debris would pose major challenges for ecological communities. Several endangered species and protected areas are at risk. Commercial fisheries and fishing fleets will be affected directly by the <span class="hlt">tsunami</span> and indirectly by dependencies on infrastructure that is damaged. There is evidence that in some areas intact ecosystems, notably sand dunes, will act as natural defenses against the <span class="hlt">tsunami</span> waves. However, ecosystems do not provide blanket protection against <span class="hlt">tsunami</span> surge. The consequences of ecological and natural resource damage are estimated in the millions of dollars. These costs are driven partly by the loss of ecosystem services, as well as cumulative and follow-on impacts where, for example, increased erosion during the <span class="hlt">tsunami</span> can in turn lead to subsequent damage and loss to coastal properties. Recovery of ecosystems, natural resources and fisheries is likely to be lengthy and expensive</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/15964259','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/15964259"><span>How effective were mangroves as a defence against the recent <span class="hlt">tsunami</span>?</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Dahdouh-Guebas, F; Jayatissa, L P; Di Nitto, D; Bosire, J O; Lo Seen, D; Koedam, N</p> <p>2005-06-21</p> <p>Whether or not mangroves function as buffers against <span class="hlt">tsunamis</span> is the subject of in-depth research, the importance of which has been neglected or underestimated before the recent killer <span class="hlt">tsunami</span> struck. Our preliminary post-<span class="hlt">tsunami</span> surveys of Sri Lankan mangrove sites with different degrees of degradation indicate that human activity exacerbated the damage inflicted on the coastal zone by the <span class="hlt">tsunami</span>.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20150006003&hterms=foster&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAuthor-Name%26N%3D0%26No%3D40%26Ntt%3Dfoster','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20150006003&hterms=foster&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAuthor-Name%26N%3D0%26No%3D40%26Ntt%3Dfoster"><span>Observing <span class="hlt">Tsunamis</span> in the Ionosphere Using Ground Based GPS Measurements</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Galvan, D. A.; Komjathy, A.; Song, Y. Tony; Stephens, P.; Hickey, M. P.; Foster, J.</p> <p>2011-01-01</p> <p>Ground-based Global Positioning System (GPS) measurements of ionospheric Total Electron Content (TEC) show variations consistent with atmospheric internal gravity waves caused by ocean <span class="hlt">tsunamis</span> following recent seismic events, including the Tohoku <span class="hlt">tsunami</span> of March 11, 2011. We observe fluctuations correlated in time, space, and wave properties with this <span class="hlt">tsunami</span> in TEC estimates processed using JPL's Global Ionospheric Mapping Software. These TEC estimates were band-pass filtered to remove ionospheric TEC variations with periods outside the typical range of internal gravity waves caused by <span class="hlt">tsunamis</span>. Observable variations in TEC appear correlated with the Tohoku <span class="hlt">tsunami</span> near the epicenter, at Hawaii, and near the west coast of North America. Disturbance magnitudes are 1-10% of the background TEC value. Observations near the epicenter are compared to estimates of expected <span class="hlt">tsunami</span>-driven TEC variations produced by Embry Riddle Aeronautical University's Spectral Full Wave Model, an atmosphere-ionosphere coupling model, and found to be in good agreement. The potential exists to apply these detection techniques to real-time GPS TEC data, providing estimates of <span class="hlt">tsunami</span> speed and amplitude that may be useful for future early warning systems.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.er.usgs.gov/publication/70000046','USGSPUBS'); return false;" href="https://pubs.er.usgs.gov/publication/70000046"><span>Volcanic <span class="hlt">tsunamis</span> and prehistoric cultural transitions in Cook Inlet, Alaska</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Beget, J.; Gardner, C.; Davis, K.</p> <p>2008-01-01</p> <p>The 1883 eruption of Augustine Volcano produced a <span class="hlt">tsunami</span> when a debris avalanche traveled into the waters of Cook Inlet. Older debris avalanches and coeval paleotsunami deposits from sites around Cook Inlet record several older volcanic <span class="hlt">tsunamis</span>. A debris avalanche into the sea on the west side of Augustine Island ca. 450??years ago produced a wave that affected areas 17??m above high tide on Augustine Island. A large volcanic <span class="hlt">tsunami</span> was generated by a debris avalanche on the east side of Augustine Island ca. 1600??yr BP, and affected areas more than 7??m above high tide at distances of 80??km from the volcano on the Kenai Peninsula. A <span class="hlt">tsunami</span> deposit dated to ca. 3600??yr BP is tentatively correlated with a southward directed collapse of the summit of Redoubt Volcano, although little is known about the magnitude of the <span class="hlt">tsunami</span>. The 1600??yr BP <span class="hlt">tsunami</span> from Augustine Volcano occurred about the same time as the collapse of the well-developed Kachemak culture in the southern Cook Inlet area, suggesting a link between volcanic <span class="hlt">tsunamis</span> and prehistoric cultural changes in this region of Alaska. ?? 2008 Elsevier B.V.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/16580983','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/16580983"><span>The Sri Lanka <span class="hlt">tsunami</span> experience.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Yamada, Seiji; Gunatilake, Ravindu P; Roytman, Timur M; Gunatilake, Sarath; Fernando, Thushara; Fernando, Lalan</p> <p>2006-01-01</p> <p>The Indian Ocean <span class="hlt">tsunami</span> of 2004 killed 31,000 people in Sri Lanka and produced morbidity primarily resulting from near-drownings and traumatic injuries. In the immediate aftermath, the survivors brought bodies to the hospitals, which hampered the hospitals' operations. The fear of epidemics led to mass burials. Infectious diseases were prevented through the provision of clean water and through vector control. Months after the <span class="hlt">tsunami</span>, little rebuilding of permanent housing was evident, and many <span class="hlt">tsunami</span> victims continued to reside in transit camps without means of generating their own income. The lack of an incident command system, limited funding, and political conflicts were identified as barriers to optimal relief efforts. Despite these barriers, Sri Lanka was fortunate in drawing upon a well-developed community health infrastructure as well as local and international resources. The need continues for education and training in clinical skills for mass rescue and emergency treatment, as well as participation in a multidisciplinary response.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2007AGUFM.S13A1049N','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2007AGUFM.S13A1049N"><span><span class="hlt">Tsunami</span> Field Survey for the Solomon Islands Earthquake of April 1, 2007</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Nishimura, Y.; Tanioka, Y.; Nakamura, Y.; Tsuji, Y.; Namegaya, Y.; Murata, M.; Woodward, S.</p> <p>2007-12-01</p> <p>Two weeks after the 2007 off-Solomon earthquake, an international <span class="hlt">tsunami</span> survey team (ITST) of Japanese and US researchers performed a post <span class="hlt">tsunami</span> survey in Ghizo and adjacent islands. Main purpose of the team was to provide information on the earthquake and <span class="hlt">tsunami</span> to the national disaster council of the Solomon Islands, who was responsible for the disaster management at that time. The ITST had interview with the affected people and conducted reconnaissance mapping of the <span class="hlt">tsunami</span> heights and flow directions. <span class="hlt">Tsunami</span> flow heights at beach and inland were evaluated from watermarks on buildings and the position of broken branches and stuck materials on trees. These <span class="hlt">tsunami</span> heights along the southern to western coasts of Ghizo Island were ca. 5m (a.s.l.). <span class="hlt">Tsunami</span> run-up was traced by distribution of floating debris that carried up by the <span class="hlt">tsunami</span> and deposited at their inundation limit. The maximum run-up was measured at Tapurai of Simbo Island to be ca. 9 m. Most of the inundation area was covered by 0-10 cm thick <span class="hlt">tsunami</span> deposit that consists of beach sand, coral peaces and eroded soil. Coseismic uplift and subsidence were clearly identified by changes of the sea level before and after the earthquake, that were inferred by eyewitness accounts and evidences such as dried up coral reeves. These deformation patterns, as well as the <span class="hlt">tsunami</span> height distribution, could constrain the earthquake fault geometry and motion. It is worthy of mention that the <span class="hlt">tsunami</span> damage in villages in Ranongga Island has significantly reduced by 2-3 m uplift before the <span class="hlt">tsunami</span> attack.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018PApGe.175.1371S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018PApGe.175.1371S"><span>Ray Tracing for Dispersive <span class="hlt">Tsunamis</span> and Source Amplitude Estimation Based on Green's Law: Application to the 2015 Volcanic <span class="hlt">Tsunami</span> Earthquake Near Torishima, South of Japan</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Sandanbata, Osamu; Watada, Shingo; Satake, Kenji; Fukao, Yoshio; Sugioka, Hiroko; Ito, Aki; Shiobara, Hajime</p> <p>2018-04-01</p> <p>Ray tracing, which has been widely used for seismic waves, was also applied to <span class="hlt">tsunamis</span> to examine the bathymetry effects during propagation, but it was limited to linear shallow-water waves. Green's law, which is based on the conservation of energy flux, has been used to estimate <span class="hlt">tsunami</span> amplitude on ray paths. In this study, we first propose a new ray tracing method extended to dispersive <span class="hlt">tsunamis</span>. By using an iterative algorithm to map two-dimensional <span class="hlt">tsunami</span> velocity fields at different frequencies, ray paths at each frequency can be traced. We then show that Green's law is valid only outside the source region and that extension of Green's law is needed for source amplitude estimation. As an application example, we analyzed <span class="hlt">tsunami</span> waves generated by an earthquake that occurred at a submarine volcano, Smith Caldera, near Torishima, Japan, in 2015. The ray-tracing results reveal that the ray paths are very dependent on its frequency, particularly at deep oceans. The validity of our frequency-dependent ray tracing is confirmed by the comparison of arrival angles and travel times with those of observed <span class="hlt">tsunami</span> waveforms at an array of ocean bottom pressure gauges. The <span class="hlt">tsunami</span> amplitude at the source is nearly twice or more of that just outside the source estimated from the array <span class="hlt">tsunami</span> data by Green's law.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2011AGUFMNH13C1396K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2011AGUFMNH13C1396K"><span>Coordinating Post-<span class="hlt">Tsunami</span> Field Surveys in the us</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Kong, L. S.; Chiesa, C.; Dunbar, P. K.; Huart, J.; Richards, K.; Shulters, M.; Stein, A.; Tamura, G.; Wilson, R. I.; Young, E.</p> <p>2011-12-01</p> <p>Post-<span class="hlt">tsunami</span> scientific field surveys are critical for improving the understanding of <span class="hlt">tsunamis</span> and developing tools and programs to mitigate their effects. After a destructive <span class="hlt">tsunami</span>, international, national, and local <span class="hlt">tsunami</span> scientists need to gather information, much of which is perishable or degrades significantly with time. An influx of researchers can put stress on countries already overwhelmed by humanitarian response to the disaster and by the demands of emergency management and other support agencies. In the United States, in addition to university research scientists, government agencies such as the National Oceanic and Atmospheric Administration (NOAA), the U.S. Geologic Survey (USGS), and state/territorial emergency management agencies and geological surveys endeavor to collect physical and social science data to better understand the physics of <span class="hlt">tsunamis</span> and the impact they have on coastal communities and ecosystems. After a Presidential Major Disaster Declaration, the Federal Emergency Management Agency (FEMA) Joint Field Office works with state/territory emergency management agencies to coordinate response to disasters. In the short-term, the collection and immediate sharing of data enable decision-making that better organizes and deploys often-limited resources to the areas most critically in need of response; and in the long-term, improves recovery planning that will mitigate the losses from the next <span class="hlt">tsunami</span>. Recent <span class="hlt">tsunamis</span> have emphasized the need for improved coordination of data collection among scientists and federal, state, and local emergency managers. Improved coordination will ensure data collection efforts are carried out in a safe, secure, efficient, and timely manner. To improve coordination of activities that will better integrate the scientific investigations with government response, the US National <span class="hlt">Tsunami</span> Hazard Mitigation Program and Pacific Risk Management 'Ohana (PRiMO) are working together to develop a consistent framework for</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2007Geo....35...25M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2007Geo....35...25M"><span>Unique and remarkable dilatometer measurements of pyroclastic flow generated <span class="hlt">tsunamis</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Mattioli, G. S.; Voight, B.; Linde, A. T.; Sacks, I. S.; Watts, P.; Widiwijayanti, C.; Young, S. R.; Hidayat, D.; Elsworth, D.; Malin, P. E.; Shalev, E.; van Boskirk, E.; Johnston, W.; Sparks, R. S. J.; Neuberg, J.; Bass, V.; Dunkley, P.; Herd, R.; Syers, T.; Williams, P.; Williams, D.</p> <p>2007-01-01</p> <p>Pyroclastic flows entering the sea may cause <span class="hlt">tsunamis</span> at coastal volcanoes worldwide, but geophysically monitored field occurrences are rare. We document the process of <span class="hlt">tsunami</span> generation during a prolonged gigantic collapse of the Soufrière Hills volcano lava dome on Montserrat on 12 13 July 2003. <span class="hlt">Tsunamis</span> were initiated by large-volume pyroclastic flows entering the ocean. We reconstruct the collapse from seismic records and report unique and remarkable borehole dilatometer observations, which recorded clearly the passage of wave packets at periods of 250 500 s over several hours. Strain signals are consistent in period and amplitude with water loading from passing <span class="hlt">tsunamis</span>; each wave packet can be correlated with individual pyroclastic flow packages recorded by seismic data, proving that multiple <span class="hlt">tsunamis</span> were initiated by pyroclastic flows. Any volcano within a few kilometers of water and capable of generating hot pyroclastic flows or cold debris flows with volumes greater than 5 × 106 m3 may generate significant and possibly damaging <span class="hlt">tsunamis</span> during future eruptions.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013OcDyn..63.1213P','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013OcDyn..63.1213P"><span>Forecasting <span class="hlt">tsunamis</span> in Poverty Bay, New Zealand, with deep-ocean gauges</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Power, William; Tolkova, Elena</p> <p>2013-12-01</p> <p>The response/transfer function of a coastal site to a remote open-ocean point is introduced, with the intent to directly convert open-ocean measurements into the wave time history at the site. We show that the <span class="hlt">tsunami</span> wave at the site can be predicted as the wave is measured in the open ocean as far as 1,000+ km away from the site, with a straightforward computation which can be performed almost instantaneously. The suggested formalism is demonstrated for the purpose of <span class="hlt">tsunami</span> forecasting in Poverty Bay, in the Gisborne region of New Zealand. Directional sensitivity of the site response due to different conditions for the excitation of the shelf and the bay's normal modes is investigated and used to explain <span class="hlt">tsunami</span> observations. The suggested response function formalism is validated with available records of the 2010 Chilean <span class="hlt">tsunami</span> at Gisborne tide gauge and at the nearby deep-ocean assessment and reporting of <span class="hlt">tsunamis</span> (DART) station 54401. The suggested technique is also demonstrated by hindcasting the 2011 Tohoku <span class="hlt">tsunami</span> and 2012 Haida Gwaii <span class="hlt">tsunami</span> at Monterey Bay, CA, using an offshore record of each <span class="hlt">tsunami</span> at DART station 46411.</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_21");'>21</a></li> <li><a href="#" onclick='return showDiv("page_22");'>22</a></li> <li><a href="#" onclick='return showDiv("page_23");'>23</a></li> <li class="active"><span>24</span></li> <li><a href="#" onclick='return showDiv("page_25");'>25</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_24 --> <div id="page_25" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_21");'>21</a></li> <li><a href="#" onclick='return showDiv("page_22");'>22</a></li> <li><a href="#" onclick='return showDiv("page_23");'>23</a></li> <li><a href="#" onclick='return showDiv("page_24");'>24</a></li> <li class="active"><span>25</span></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="481"> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2012EGUGA..14.5828P','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2012EGUGA..14.5828P"><span>Computed inundation heights of the 2011 Tohoku <span class="hlt">tsunami</span> compared to measured run-up data: hints for <span class="hlt">tsunami</span> source inversion</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Pagnoni, G.; Tinti, S.; Armigliato, A.</p> <p>2012-04-01</p> <p>The 11 March 2011 earthquake that took place off the Pacific coast of Tohoku, North Honshu, with Mw = 9.0, is the largest earthquake ever occurred in Japan, and generated a big <span class="hlt">tsunami</span> that spread across the Pacific Ocean, causing devastating effects in the prefectures of Aomori, Iwate, Miyagi and Fukushima. It caused more than 15,000 casualties, swept away the low-land quarters of several villages and moreover was the primary cause of the severe nuclear accident in the Fukushima Nuclear Power Plant. There is a very large set of observations covering both the earthquake and the <span class="hlt">tsunami</span>, and almost certainly this is the case with the most abundant dataset of high-quality data in the history of seismology and of <span class="hlt">tsunami</span> science. Local and global seismic networks, continuous GPS networks, coastal tide gauges in Japan ports and across the Pacific, local buoys cabled deep ocean-bottom pressure gauges (OBPG) and deep-ocean buoys (such as DART) mainly along the foot of the margins of the pacific continents, all contributed essential data to constrain the source of the earthquake and of the <span class="hlt">tsunami</span>. In this paper we will use also the observed run-up data to put further constraints on the source and to better determine the distribution of the slip on the offshore fault. This will be done through trial-and-error forward modeling, that is by comparing inundation data calculated by means of numerical <span class="hlt">tsunami</span> simulations in the near field to <span class="hlt">tsunami</span> run-up heights measured during field surveys conducted by several teams and made available on the net. Major attention will be devoted to reproduce observations in the prefectures that were more affected and where run-up heights are very large (namely Iwate and Miyagi). The simulations are performed by means of the finite-difference code UBO-TSUFD, developed and maintained by the <span class="hlt">Tsunami</span> Research Team of the University of Bologna, Italy, that can solve both the linear and non-linear versions of the shallow-water equations on nested</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017PApGe.174.3083D','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017PApGe.174.3083D"><span>Simulation-Based Probabilistic <span class="hlt">Tsunami</span> Hazard Analysis: Empirical and Robust Hazard Predictions</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>De Risi, Raffaele; Goda, Katsuichiro</p> <p>2017-08-01</p> <p>Probabilistic <span class="hlt">tsunami</span> hazard analysis (PTHA) is the prerequisite for rigorous risk assessment and thus for decision-making regarding risk mitigation strategies. This paper proposes a new simulation-based methodology for <span class="hlt">tsunami</span> hazard assessment for a specific site of an engineering project along the coast, or, more broadly, for a wider <span class="hlt">tsunami</span>-prone region. The methodology incorporates numerous uncertain parameters that are related to geophysical processes by adopting new scaling relationships for tsunamigenic seismic regions. Through the proposed methodology it is possible to obtain either a <span class="hlt">tsunami</span> hazard curve for a single location, that is the representation of a <span class="hlt">tsunami</span> intensity measure (such as inundation depth) versus its mean annual rate of occurrence, or <span class="hlt">tsunami</span> hazard maps, representing the expected <span class="hlt">tsunami</span> intensity measures within a geographical area, for a specific probability of occurrence in a given time window. In addition to the conventional <span class="hlt">tsunami</span> hazard curve that is based on an empirical statistical representation of the simulation-based PTHA results, this study presents a robust <span class="hlt">tsunami</span> hazard curve, which is based on a Bayesian fitting methodology. The robust approach allows a significant reduction of the number of simulations and, therefore, a reduction of the computational effort. Both methods produce a central estimate of the hazard as well as a confidence interval, facilitating the rigorous quantification of the hazard uncertainties.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUFMNH43B1857M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUFMNH43B1857M"><span>Modeling <span class="hlt">Tsunami</span> Wave Generation Using a Two-layer Granular Landslide Model</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Ma, G.; Kirby, J. T., Jr.; Shi, F.; Grilli, S. T.; Hsu, T. J.</p> <p>2016-12-01</p> <p><span class="hlt">Tsunamis</span> can be generated by subaerial or submarine landslides in reservoirs, lakes, fjords, bays and oceans. Compared to seismogenic <span class="hlt">tsunamis</span>, landslide or submarine mass failure (SMF) <span class="hlt">tsunamis</span> are normally characterized by relatively shorter wave lengths and stronger wave dispersion, and potentially may generate large wave amplitudes locally and high run-up along adjacent coastlines. Due to a complex interplay between the landslide and <span class="hlt">tsunami</span> waves, accurate simulation of landslide motion as well as <span class="hlt">tsunami</span> generation is a challenging task. We develop and test a new two-layer model for granular landslide motion and <span class="hlt">tsunami</span> wave generation. The landslide is described as a saturated granular flow, accounting for intergranular stresses governed by Coulomb friction. <span class="hlt">Tsunami</span> wave generation is simulated by the three-dimensional non-hydrostatic wave model NHWAVE, which is capable of capturing wave dispersion efficiently using a small number of discretized vertical levels. Depth-averaged governing equations for the granular landslide are derived in a slope-oriented coordinate system, taking into account the dynamic interaction between the lower-layer granular landslide and upper-layer water motion. The model is tested against laboratory experiments on impulsive wave generation by subaerial granular landslides. Model results illustrate a complex interplay between the granular landslide and <span class="hlt">tsunami</span> waves, and they reasonably predict not only the <span class="hlt">tsunami</span> wave generation but also the granular landslide motion from initiation to deposition.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2012AGUFMOS33B1823N','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2012AGUFMOS33B1823N"><span>Sedimentology of onshore <span class="hlt">tsunami</span> deposits of the Indian Ocean <span class="hlt">tsunami</span>, 2004 in the mangrove forest of the Curieuse Marine National Park, Seychelles</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Nentwig, V.; Bahlburg, H.; Monthy, D.</p> <p>2012-12-01</p> <p>The Seychelles were severely affected by the December 26, 2004 <span class="hlt">tsunami</span> in the Indian Ocean. Since the <span class="hlt">tsunami</span> history of small islands often remains unclear due to a young historiography we conducted a study of onshore <span class="hlt">tsunami</span> deposits on the Seychelles in order to understand the scale of impact of the 2004 Indian Ocean <span class="hlt">tsunami</span> and potential predecessors. As part of this project we found and studied onshore <span class="hlt">tsunami</span> deposits in the mangrove forest at Old Turtle Pond bay on the east coast of Curieuse Island. The 2004 Indian Ocean <span class="hlt">tsunami</span> caused a change of habitat due to sedimentation of an extended sand sheet in the mangrove forest. We present results of the first detailed sedimentological study of onshore <span class="hlt">tsunami</span> deposits of the 2004 Indian Ocean <span class="hlt">tsunami</span> conducted on the Seychelles. The Curieuse mangrove forest at Old Turtle Pond bay is part of the Curieuse Marine National Park. It is thus protected from anthropogenic interference. Towards the sea it was shielded until the <span class="hlt">tsunami</span> by a 500 m long and 1.5 m high causeway which was set up in 1909 as a sediment trap. The causeway was destroyed by the 2004 Indian Ocean <span class="hlt">Tsunami</span>. The silt to fine sand sized and organic rich mangrove soil was subsequently covered by carbonate fine to medium sand (1.5 to 2.1 Φ) containing coarser carbonate shell debris which had been trapped outside the mangrove bay before the <span class="hlt">tsunami</span>. The <span class="hlt">tsunami</span> deposited a sand sheet which is organized into different lobes. They extend landwards to different inundation distances as a function of morphology. Maximum inundation distance is 200 m. The sediments often cover the pneumatophores of the mangroves. No landward fining trend of the sand sheet has been observed. On the different sand lobes carbonate-cemented sandstone debris ranging in size from 0.5 up to 12 cm occurs. Also numerous mostly fragmented shells of bivalves and molluscs were distributed on top of the sand lobes. Intact bivalve shells were mostly positioned with the convex side upwards</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUFMNH52A..08W','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUFMNH52A..08W"><span>Making Multi-Level <span class="hlt">Tsunami</span> Evacuation Playbooks Operational in California and Hawaii</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Wilson, R. I.; Peterson, D.; Fryer, G. J.; Miller, K.; Nicolini, T.; Popham, C.; Richards, K.; Whitmore, P.; Wood, N. J.</p> <p>2016-12-01</p> <p>In the aftermath of the 2010 Chile, 2011 Japan, and 2012 Haida Gwaii <span class="hlt">tsunamis</span> in California and Hawaii, coastal emergency managers requested that state and federal <span class="hlt">tsunami</span> programs investigate providing more detailed information about the flood potential and recommended evacuation for distant-source <span class="hlt">tsunamis</span> well ahead of their arrival time. Evacuation "Playbooks" for <span class="hlt">tsunamis</span> of variable sizes and source locations have been developed for some communities in the two states, providing secondary options to an all or nothing approach for evacuation. Playbooks have been finalized for nearly 70% of the coastal communities in California, and have been drafted for evaluation by the communities of Honolulu and Hilo in Hawaii. A key component to determining a recommended level of evacuation during a distant-source <span class="hlt">tsunami</span> and making the Playbooks operational has been the development of the "FASTER" approach, an acronym for factors that influence the <span class="hlt">tsunami</span> flood hazard for a community: Forecast Amplitude, Storm, Tides, Error in forecast, and the Run-up potential. Within the first couple hours after a <span class="hlt">tsunami</span> is generated, the FASTER flood elevation value will be computed and used to select the appropriate minimum <span class="hlt">tsunami</span> phase evacuation "Playbook" for use by the coastal communities. The states of California and Hawaii, the <span class="hlt">tsunami</span> warning centers, and local weather service offices are working together to deliver recommendations on the appropriate evacuation Playbook plans for communities to use prior to the arrival of a distant-source <span class="hlt">tsunami</span>. These partners are working closely with individual communities on developing conservative and consistent protocols on the use of the Playbooks. Playbooks help provide a scientifically-based, minimum response for small- to moderate-size <span class="hlt">tsunamis</span> which could reduce the potential for over-evacuation of hundreds of thousands of people and save hundreds of millions of dollars in evacuation costs for communities and businesses.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUFMNH41A1746A','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUFMNH41A1746A"><span><span class="hlt">Tsunami</span> Simulators in Physical Modelling Laboratories - From Concept to Proven Technique</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Allsop, W.; Chandler, I.; Rossetto, T.; McGovern, D.; Petrone, C.; Robinson, D.</p> <p>2016-12-01</p> <p>Before 2004, there was little public awareness around Indian Ocean coasts of the potential size and effects of <span class="hlt">tsunami</span>. Even in 2011, the scale and extent of devastation by the Japan East Coast <span class="hlt">Tsunami</span> was unexpected. There were very few engineering tools to assess onshore impacts of <span class="hlt">tsunami</span>, so no agreement on robust methods to predict forces on coastal defences, buildings or related infrastructure. Modelling generally used substantial simplifications of either solitary waves (far too short durations) or dam break (unrealistic and/or uncontrolled wave forms).This presentation will describe research from EPI-centre, HYDRALAB IV, URBANWAVES and CRUST projects over the last 10 years that have developed and refined pneumatic <span class="hlt">Tsunami</span> Simulators for the hydraulic laboratory. These unique devices have been used to model generic elevated and N-wave <span class="hlt">tsunamis</span> up to and over simple shorelines, and at example defences. They have reproduced full-duration <span class="hlt">tsunamis</span> including the Mercator trace from 2004 at 1:50 scale. Engineering scale models subjected to those <span class="hlt">tsunamis</span> have measured wave run-up on simple slopes, forces on idealised sea defences and pressures / forces on buildings. This presentation will describe how these pneumatic <span class="hlt">Tsunami</span> Simulators work, demonstrate how they have generated <span class="hlt">tsunami</span> waves longer than the facility within which they operate, and will highlight research results from the three generations of <span class="hlt">Tsunami</span> Simulator. Of direct relevance to engineers and modellers will be measurements of wave run-up levels and comparison with theoretical predictions. Recent measurements of forces on individual buildings have been generalized by separate experiments on buildings (up to 4 rows) which show that the greatest forces can act on the landward (not seaward) buildings. Continuing research in the 70m long 4m wide Fast Flow Facility on <span class="hlt">tsunami</span> defence structures have also measured forces on buildings in the lee of a failed defence wall.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20150008554&hterms=foster&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAuthor-Name%26N%3D0%26No%3D40%26Ntt%3Dfoster','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20150008554&hterms=foster&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAuthor-Name%26N%3D0%26No%3D40%26Ntt%3Dfoster"><span>Observing Traveling Ionospheric Disturbances Caused by <span class="hlt">Tsunamis</span> Using GPS TEC Measurements</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Galvan, David A.; Komjathy, Attila; Hickey, Michael; Foster, James; Mannucci, Anthony J.</p> <p>2010-01-01</p> <p>Ground-based Global Positioning System (GPS) measurements of ionospheric Total Electron Content (TEC) show variations consistent with atmospheric internal gravity waves caused by ocean <span class="hlt">tsunamis</span> following two recent seismic events: the American Samoa earthquake of September 29, 2009, and the Chile earthquake of February 27, 2010. Fluctuations in TEC correlated in time, space, and wave properties with these <span class="hlt">tsunamis</span> were observed in TEC estimates processed using JPL's Global Ionospheric Mapping Software. These TEC estimates were band-pass filtered to remove ionospheric TEC variations with wavelengths and periods outside the typical range of internal gravity waves caused by <span class="hlt">tsunamis</span>. Observable variations in TEC appear correlated with the <span class="hlt">tsunamis</span> in certain locations, but not in others. Where variations are observed, the typical amplitude tends to be on the order of 1% of the background TEC value. Variations with amplitudes 0.1 - 0.2 TECU are observable with periods and timing affiliated with the <span class="hlt">tsunami</span>. These observations are compared to estimates of expected <span class="hlt">tsunami</span>-driven TEC variations produced by Embry Riddle Aeronautical University's Spectral Full Wave Model, an atmosphere-ionosphere coupling model, and found to be in good agreement in some locations, though there are cases when the model predicts an observable <span class="hlt">tsunami</span>-driven signature and none is observed. These TEC variations are not always seen when a <span class="hlt">tsunami</span> is present, but in these two events the regions where a strong ocean <span class="hlt">tsunami</span> was observed did coincide with clear TEC observations, while a lack of clear TEC observations coincided with smaller <span class="hlt">tsunami</span> amplitudes. There exists the potential to apply these detection techniques to real-time GPS TEC data, providing estimates of <span class="hlt">tsunami</span> speed and amplitude that may be useful for early warning systems.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://library.lanl.gov/tsunami/ts282.pdf','USGSPUBS'); return false;" href="http://library.lanl.gov/tsunami/ts282.pdf"><span>NOAA/West coast and Alaska <span class="hlt">Tsunami</span> warning center Atlantic Ocean response criteria</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Whitmore, P.; Refidaff, C.; Caropolo, M.; Huerfano-Moreno, V.; Knight, W.; Sammler, W.; Sandrik, A.</p> <p>2009-01-01</p> <p>West Coast/Alaska <span class="hlt">Tsunami</span> Warning Center (WCATWC) response criteria for earthquakesoccurring in the Atlantic and Caribbean basins are presented. Initial warning center decisions are based on an earthquake's location, magnitude, depth, distance from coastal locations, and precomputed threat estimates based on <span class="hlt">tsunami</span> models computed from similar events. The new criteria will help limit the geographical extent of warnings and advisories to threatened regions, and complement the new operational <span class="hlt">tsunami</span> product suite. Criteria are set for <span class="hlt">tsunamis</span> generated by earthquakes, which are by far the main cause of <span class="hlt">tsunami</span> generation (either directly through sea floor displacement or indirectly by triggering of sub-sea landslides).The new criteria require development of a threat data base which sets warning or advisory zones based on location, magnitude, and pre-computed <span class="hlt">tsunami</span> models. The models determine coastal <span class="hlt">tsunami</span> amplitudes based on likely <span class="hlt">tsunami</span> source parameters for a given event. Based on the computed amplitude, warning and advisory zones are pre-set.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/20603268','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/20603268"><span>Perceived community participation in <span class="hlt">tsunami</span> recovery efforts and the mental health of <span class="hlt">tsunami</span>-affected mothers: findings from a study in rural Sri Lanka.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Wickrama, K A S; Wickrama, T</p> <p>2011-09-01</p> <p>The 2004 <span class="hlt">tsunami</span> seriously affected millions of families in several developing countries by destroying their livelihoods, houses and communities, subsequently damaging social and physical resources. Disaster studies have documented that both post-traumatic stress disorder (PTSD) and depression develop during the first six months following disaster exposure for the majority of those afflicted. and Using data from 325 <span class="hlt">tsunami</span>-affected families living in southern Sri Lanka, the current study investigates whether community social resources such as residents' perceived community participation in <span class="hlt">tsunami</span> recovery efforts reduce mental health risks (PTSD and depressive symptoms) of <span class="hlt">tsunami</span>-affected mothers. The analysis is based on structural equation modelling. and The findings of structural equation modelling supports the main hypothesis that residents' perceived community participation directly and indirectly (through collective family functioning and mental health service use) reduces mental health risks (both PTSD and depressive symptoms) of <span class="hlt">tsunami</span>-affected mothers after controlling for pre-<span class="hlt">tsunami</span> family adversities. In addition, the results show that residents' perceived community participation buffers the influence of trauma exposure on PTSD symptom levels of mothers. The identification of specific social and family processes that relate to mental health can be useful for post-disaster interventions and recovery programmes.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017PApGe.174.3249T','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017PApGe.174.3249T"><span>A Response Function Approach for Rapid Far-Field <span class="hlt">Tsunami</span> Forecasting</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Tolkova, Elena; Nicolsky, Dmitry; Wang, Dailin</p> <p>2017-08-01</p> <p>Predicting <span class="hlt">tsunami</span> impacts at remote coasts largely relies on <span class="hlt">tsunami</span> en-route measurements in an open ocean. In this work, these measurements are used to generate instant <span class="hlt">tsunami</span> predictions in deep water and near the coast. The predictions are generated as a response or a combination of responses to one or more tsunameters, with each response obtained as a convolution of real-time tsunameter measurements and a pre-computed pulse response function (PRF). Practical implementation of this method requires tables of PRFs in a 3D parameter space: earthquake location-tsunameter-forecasted site. Examples of hindcasting the 2010 Chilean and the 2011 Tohoku-Oki <span class="hlt">tsunamis</span> along the US West Coast and beyond demonstrated high accuracy of the suggested technology in application to trans-Pacific seismically generated <span class="hlt">tsunamis</span>.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014EGUGA..16..752K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014EGUGA..16..752K"><span>Display of historical and hypothetical <span class="hlt">tsunami</span> on the coast of Sakhalin Island</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Kostenko, Irina; Zaytsev, Andrey; Kurkin, Andrey; Yalciner, Ahmet</p> <p>2014-05-01</p> <p><span class="hlt">Tsunami</span> waves achieve the coast of the Sakhalin Island and their sources are located in the Japan Sea, in the Okhotsk Sea, in Kuril Islands region and in the Pacific Ocean. Study of <span class="hlt">tsunami</span> generation characteristics and its propagation allows studying display of the <span class="hlt">tsunami</span> on the various parts of the island coast. For this purpose the series of computational experiments of some historical <span class="hlt">tsunamis</span> was carried out. Their sources located in Japan Sea and Kuril Islands region. The simulation results are compared with the observations. Analysis of all recorded historical <span class="hlt">tsunami</span> on coast of Sakhalin Island was done. To identify the possible display of the <span class="hlt">tsunami</span> on the coast of Sakhalin Island the series of computational experiments of hypothetical <span class="hlt">tsunamis</span> was carried out. Their sources located in the Japan Sea and in the Okhotsk Sea. There were used hydrodynamic sources. There were used different parameters of sources (length, width, height, raising and lowering of sea level), which correspond to earthquakes of various magnitudes. The analysis of the results was carried out. Pictures of the distribution of maximum amplitudes from each <span class="hlt">tsunami</span> were done. Areas of Okhotsk Sea, Japan Sea and offshore strip of Sakhalin Island with maximum <span class="hlt">tsunami</span> amplitudes were defined. Graphs of the distribution of maximum <span class="hlt">tsunami</span> wave heights along the coast of the Sakhalin Island were plotted. Based on shallow-water equation <span class="hlt">tsunami</span> numerical code NAMI DANCE was used for numerical simulations. This work was supported by ASTARTE project.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2012EGUGA..1414034G','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2012EGUGA..1414034G"><span>A Review of Methodologies on Vulnerability Assessment of Buildings to <span class="hlt">Tsunami</span> Damage</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Gunasekera, R.; Rosetto, T.; Tabuchi, S.; Suppasri, A.; Futami, T.; Scott, I.; Maegawa, H.</p> <p>2012-04-01</p> <p>The infrequency, suddenness and violence <span class="hlt">tsunamis</span> has led to a lack of knowledge on <span class="hlt">tsunami</span> and lack of data available for the calibration of numerical models particularly in relation to <span class="hlt">tsunami</span> damage. Therefore, there are very few <span class="hlt">tsunami</span> structural vulnerability studies available. Of the available literature, most of these started after the disastrous 2004 Indian Ocean event. Most of fragility curves have been developed in some areas struck by the 2004 <span class="hlt">tsunami</span>, which are very different in architecture and engineering respect to the US, Japanese or European ones. This review aims to highlight the strengths and weaknesses of current knowledge on <span class="hlt">tsunami</span> fragility by critically assessing several fragility curves based on post <span class="hlt">tsunami</span> damage surveys in Chile, Japan (including initial findings of the March 2011 event), Samoa, Sri Lanka and Thailand. It is observed that there is no consensus on how to derive <span class="hlt">tsunami</span> fragility curves. Most of the examined relationships are seen to relate to residential buildings, and, due to the location of recent <span class="hlt">tsunami</span> occurrences, they mostly represent non-engineered buildings (i.e. all use data from Thailand, Sri Lanka, Samoa, or Sumatra), which limits their usefulness. In the absence of a good understanding of <span class="hlt">tsunami</span> actions on buildings most existing fragility relationships adopt inundation depth as the hazard parameter in the vulnerability function, which does not account for the other components of onshore flow contributing to <span class="hlt">tsunami</span> loads on buildings, such as flow velocity.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016EGUGA..1811809K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016EGUGA..1811809K"><span><span class="hlt">Tsunami</span> focusing and leading wave height</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Kanoglu, Utku</p> <p>2016-04-01</p> <p>Field observations from <span class="hlt">tsunami</span> events show that sometimes the maximum <span class="hlt">tsunami</span> amplitude might not occur for the first wave, such as the maximum wave from the 2011 Japan <span class="hlt">tsunami</span> reaching to Papeete, Tahiti as a fourth wave 72 min later after the first wave. This might mislead local authorities and give a wrong sense of security to the public. Recently, Okal and Synolakis (2016, Geophys. J. Int. 204, 719-735) discussed "the factors contributing to the sequencing of <span class="hlt">tsunami</span> waves in the far field." They consider two different generation mechanisms through an axial symmetric source -circular plug; one, Le Mehaute and Wang's (1995, World Scientific, 367 pp.) formalism where irritational wave propagation is formulated in the framework of investigating <span class="hlt">tsunamis</span> generated by underwater explosions and two, Hammack's formulation (1972, Ph.D. Dissertation, Calif. Inst. Tech., 261 pp., Pasadena) which introduces deformation at the ocean bottom and does not represent an immediate deformation of the ocean surface, i.e. time dependent ocean surface deformation. They identify the critical distance for transition from the first wave being largest to the second wave being largest. To verify sequencing for a finite length source, Okal and Synolakis (2016) is then used NOAA's validated and verified real time forecasting numerical model MOST (Titov and Synolakis, 1998, J. Waterw. Port Coast. Ocean Eng., 124, 157-171) through Synolakis et al. (2008, Pure Appl. Geophys. 165, 2197-2228). As a reference, they used the parameters of the 1 April 2014 Iquique, Chile earthquake over real bathymetry, variants of this source (small, big, wide, thin, and long) over a flat bathymetry, and 2010 Chile and 211 Japan <span class="hlt">tsunamis</span> over both real and flat bathymetries to explore the influence of the fault parameters on sequencing. They identified that sequencing more influenced by the source width rather than the length. We extend Okal and Synolakis (2016)'s analysis to an initial N-wave form (Tadepalli</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014AGUFMNH21A3830K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014AGUFMNH21A3830K"><span>Influence of Earthquake Parameters on <span class="hlt">Tsunami</span> Wave Height and Inundation</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Kulangara Madham Subrahmanian, D.; Sri Ganesh, J.; Venkata Ramana Murthy, M.; V, R. M.</p> <p>2014-12-01</p> <p>After Indian Ocean <span class="hlt">Tsunami</span> (IOT) on 26th December, 2004, attempts are being made to assess the threat of <span class="hlt">tsunami</span> originating from different sources for different parts of India. The Andaman - Sumatra trench is segmented by transcurrent faults and differences in the rate of subduction which is low in the north and increases southward. Therefore key board model with initial deformation calculated using different strike directions, slip rates, are used. This results in uncertainties in the earthquake parameters. This study is made to identify the location of origin of most destructive <span class="hlt">tsunami</span> for Southeast coast of India and to infer the influence of the earthquake parameters in <span class="hlt">tsunami</span> wave height travel time in deep ocean as well as in the shelf and inundation in the coast. Five tsunamigenic sources were considered in the Andaman - Sumatra trench taking into consideration the tectonic characters of the trench described by various authors and the modeling was carried out using TUNAMI N2 code. The model results were validated using the travel time and runup in the coastal areas and comparing the water elevation along Jason - 1's satellite track. The inundation results are compared from the field data. The assessment of the <span class="hlt">tsunami</span> threat for the area south of Chennai city the metropolitan city of South India shows that a <span class="hlt">tsunami</span> originating in Car Nicobar segment of the Andaman - Sumatra subduction zone can generate the most destructive <span class="hlt">tsunami</span>. Sensitivity analysis in the modelling indicates that fault length influences the results significantly and the <span class="hlt">tsunami</span> reaches early and with higher amplitude. Strike angle is also modifying the <span class="hlt">tsunami</span> followed by amount of slip.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017EGUGA..1911429F','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017EGUGA..1911429F"><span>1946 Dominican Republic <span class="hlt">Tsunami</span>: Field Survey based on Eyewitness Interviews</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Fritz, Hermann M.; Martinez, Claudio; Salado, Juan; Rivera, Wagner; Duarte, Leoncio</p> <p>2017-04-01</p> <p>On 4 August 1946 an Mw 8.1 earthquake struck off the north-eastern shore of Hispaniola Island resulting in a destructive <span class="hlt">tsunami</span> with order one hundred fatalities in the Dominican Republic and observed runup in Puerto Rico. In the far field, <span class="hlt">tsunami</span> waves were recorded on some tide gauges on the Atlantic coast of the United States of America. The earthquake devastated the Dominican Republic, extended into Haiti, and shook many other islands. This was one of the strongest earthquakes reported in the Caribbean since colonial times. The immediate earthquake reconnaissance surveys focused on earthquake damage and were conducted in September 1946 (Lynch and Bodle, 1948; Small, 1948). The 1946 Dominican Republic <span class="hlt">tsunami</span> eyewitness based field survey took place in three phases from 18 to 21 March 2014, 1 to 3 September 2014 and 9 to 11 May 2016. The International <span class="hlt">Tsunami</span> Survey Team (ITST) covered more than 400 km of coastline along the northern Dominican Republic from the eastern most tip at Punta Cana to La Isabela some 70 km from the border with Haiti. The survey team documented <span class="hlt">tsunami</span> runup, flow depth, inundation distances, sea-level drawdown, coastal erosion and co-seismic land level changes based on eyewitnesses interviewed on site using established protocols. The early afternoon earthquake resulted in detailed survival stories with excellent eyewitness observations recounted almost 70 years later with lucidity. The Dominican Republic survey data includes 29 runup and <span class="hlt">tsunami</span> height measurements at 21 locations. The <span class="hlt">tsunami</span> impacts peaked with maximum <span class="hlt">tsunami</span> heights exceeding 5 m at a cluster of locations between Cabrera and El Limon. A maximum <span class="hlt">tsunami</span> height of 8 m likely associated with splash up was measured in Playa Boca Nueva. <span class="hlt">Tsunami</span> inundation distances of 600 m or more were measured at Las Terrenas and Playa Rincon on the Samana Peninsula. Some locations were surveyed twice in 2014 and 2016, which allowed to identify current coastal erosion rates. Field</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013AGUFMNH51D..03T','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013AGUFMNH51D..03T"><span>Earthquake and submarine landslide <span class="hlt">tsunamis</span>: how can we tell the difference? (Invited)</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Tappin, D. R.; Grilli, S. T.; Harris, J.; Geller, R. J.; Masterlark, T.; Kirby, J. T.; Ma, G.; Shi, F.</p> <p>2013-12-01</p> <p>Several major recent events have shown the <span class="hlt">tsunami</span> hazard from submarine mass failures (SMF), i.e., submarine landslides. In 1992 a small earthquake triggered landslide generated a <span class="hlt">tsunami</span> over 25 meters high on Flores Island. In 1998 another small, earthquake-triggered, sediment slump-generated <span class="hlt">tsunami</span> up to 15 meters high devastated the local coast of Papua New Guinea killing 2,200 people. It was this event that led to the recognition of the importance of marine geophysical data in mapping the architecture of seabed sediment failures that could be then used in modeling and validating the <span class="hlt">tsunami</span> generating mechanism. Seabed mapping of the 2004 Indian Ocean earthquake rupture zone demonstrated, however, that large, if not great, earthquakes do not necessarily cause major seabed failures, but that along some convergent margins frequent earthquakes result in smaller sediment failures that are not tsunamigenic. Older events, such as Messina, 1908, Makran, 1945, Alaska, 1946, and Java, 2006, all have the characteristics of SMF <span class="hlt">tsunamis</span>, but for these a SMF source has not been proven. When the 2011 <span class="hlt">tsunami</span> struck Japan, it was generally assumed that it was directly generated by the earthquake. The earthquake has some unusual characteristics, such as a shallow rupture that is somewhat slow, but is not a '<span class="hlt">tsunami</span> earthquake.' A number of simulations of the <span class="hlt">tsunami</span> based on an earthquake source have been published, but in general the best results are obtained by adjusting fault rupture models with <span class="hlt">tsunami</span> wave gauge or other data so, to the extent that they can model the recorded <span class="hlt">tsunami</span> data, this demonstrates self-consistency rather than validation. Here we consider some of the existing source models of the 2011 Japan event and present new <span class="hlt">tsunami</span> simulations based on a combination of an earthquake source and an SMF mapped from offshore data. We show that the multi-source <span class="hlt">tsunami</span> agrees well with available tide gauge data and field observations and the wave data from</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017EGUGA..19.2694F','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017EGUGA..19.2694F"><span>Assessment of <span class="hlt">tsunami</span> hazard for coastal areas of Shandong Province, China</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Feng, Xingru; Yin, Baoshu</p> <p>2017-04-01</p> <p>Shandong province is located on the east coast of China and has a coastline of about 3100 km. There are only a few <span class="hlt">tsunami</span> events recorded in the history of Shandong Province, but the <span class="hlt">tsunami</span> hazard assessment is still necessary as the rapid economic development and increasing population of this area. The objective of this study was to evaluate the potential danger posed by <span class="hlt">tsunamis</span> for Shandong Province. The numerical simulation method was adopted to assess the <span class="hlt">tsunami</span> hazard for coastal areas of Shandong Province. The Cornell multi-grid coupled <span class="hlt">tsunami</span> numerical model (COMCOT) was used and its efficacy was verified by comparison with three historical <span class="hlt">tsunami</span> events. The simulated maximum <span class="hlt">tsunami</span> wave height agreed well with the observational data. Based on previous studies and statistical analyses, multiple earthquake scenarios in eight seismic zones were designed, the magnitudes of which were set as the potential maximum values. Then, the <span class="hlt">tsunamis</span> they induced were simulated using the COMCOT model to investigate their impact on the coastal areas of Shandong Province. The numerical results showed that the maximum <span class="hlt">tsunami</span> wave height, which was caused by the earthquake scenario located in the sea area of the Mariana Islands, could reach up to 1.39 m off the eastern coast of Weihai city. The <span class="hlt">tsunamis</span> from the seismic zones of the Bohai Sea, Okinawa Trough, and Manila Trench could also reach heights of >1 m in some areas, meaning that earthquakes in these zones should not be ignored. The inundation hazard was distributed primarily in some northern coastal areas near Yantai and southeastern coastal areas of Shandong Peninsula. When considering both the magnitude and arrival time of <span class="hlt">tsunamis</span>, it is suggested that greater attention be paid to earthquakes that occur in the Bohai Sea. In conclusion, the <span class="hlt">tsunami</span> hazard facing the coastal area of Shandong Province is not very serious; however, disasters could occur if such events coincided with spring tides or other</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018JGRA..123.4329R','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018JGRA..123.4329R"><span><span class="hlt">Tsunami</span> Wave Height Estimation from GPS-Derived Ionospheric Data</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Rakoto, Virgile; Lognonné, Philippe; Rolland, Lucie; Coïsson, P.</p> <p>2018-05-01</p> <p>Large underwater earthquakes (Mw>7) can transmit part of their energy to the surrounding ocean through large seafloor motions, generating <span class="hlt">tsunamis</span> that propagate over long distances. The forcing effect of <span class="hlt">tsunami</span> waves on the atmosphere generates internal gravity waves that, when they reach the upper atmosphere, produce ionospheric perturbations. These perturbations are frequently observed in the total electron content (TEC) measured by multifrequency Global Navigation Satellite Systems (GNSS) such as GPS, GLONASS, and, in the future, Galileo. This paper describes the first inversion of the variation in sea level derived from GPS TEC data. We used a least squares inversion through a normal-mode summation modeling. This technique was applied to three <span class="hlt">tsunamis</span> in far field associated to the 2012 Haida Gwaii, 2006 Kuril Islands, and 2011 Tohoku events and for Tohoku also in close field. With the exception of the Tohoku far-field case, for which the <span class="hlt">tsunami</span> reconstruction by the TEC inversion is less efficient due to the ionospheric noise background associated to geomagnetic storm, which occurred on the earthquake day, we show that the peak-to-peak amplitude of the sea level variation inverted by this method can be compared to the <span class="hlt">tsunami</span> wave height measured by a DART buoy with an error of less than 20%. This demonstrates that the inversion of TEC data with a <span class="hlt">tsunami</span> normal-mode summation approach is able to estimate quite accurately the amplitude and waveform of the first <span class="hlt">tsunami</span> arrival.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014AGUFMNH12A..08G','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014AGUFMNH12A..08G"><span>Development of algorithms for <span class="hlt">tsunami</span> detection by High Frequency Radar based on modeling <span class="hlt">tsunami</span> case studies in the Mediterranean Sea</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Grilli, S. T.; Guérin, C. A.; Grosdidier, S.</p> <p>2014-12-01</p> <p>Where coastal <span class="hlt">tsunami</span> hazard is governed by near-field sources, Submarine Mass Failures (SMFs) or earthquakes, <span class="hlt">tsunami</span> propagation times may be too small for a detection based on deep or shallow water buoys. To offer sufficient warning time, it has been proposed by others to implement early warning systems relying on High Frequency Radar (HFR) remote sensing, that has a dense spatial coverage far offshore. A new HFR, referred to as STRADIVARIUS, is being deployed by Diginext Inc. (in Fall 2014), to cover the "Golfe du Lion" (GDL) in the Western Mediterranean Sea. This radar uses a proprietary phase coding technology that allows detection up to 300 km, in a bistatic configuration (for which radar and antennas are separated by about 100 km). Although the primary purpose of the radar is vessel detection in relation to homeland security, the 4.5 MHz HFR will provide a strong backscattered signal for ocean surface waves at the so-called Bragg frequency (here, wavelength of 30 m). The current caused by an arriving <span class="hlt">tsunami</span> will shift the Bragg frequency, by a value proportional to the current magnitude (projected on the local radar ray direction), which can be easily obtained from the Doppler spectrum of the HFR signal. Using state of the art <span class="hlt">tsunami</span> generation and propagation models, we modeled <span class="hlt">tsunami</span> case studies in the western Mediterranean basin (both seismic and SMFs) and simulated the HFR backscattered signal that would be detected for the entire GDL and beyond. Based on simulated HFR signal, we developed two types of <span class="hlt">tsunami</span> detection algorithms: (i) one based on standard Doppler spectra, for which we found that to be detectable within the environmental and background current noises, the Doppler shift requires <span class="hlt">tsunami</span> currents to be at least 10-15 cm/s, which typically only occurs on the continental shelf in fairly shallow water; (ii) to allow earlier detection, a second algorithm computes correlations of the HFR signals at two distant locations, shifted in time</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015EGUGA..17.6564G','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015EGUGA..17.6564G"><span>Development of algorithms for <span class="hlt">tsunami</span> detection by High Frequency Radar based on modeling <span class="hlt">tsunami</span> case studies in the Mediterranean Sea</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Grilli, Stéphan; Guérin, Charles-Antoine; Grosdidier, Samuel</p> <p>2015-04-01</p> <p>Where coastal <span class="hlt">tsunami</span> hazard is governed by near-field sources, Submarine Mass Failures (SMFs) or earthquakes, <span class="hlt">tsunami</span> propagation times may be too small for a detection based on deep or shallow water buoys. To offer sufficient warning time, it has been proposed by others to implement early warning systems relying on High Frequency Surface Wave Radar (HFSWR) remote sensing, that has a dense spatial coverage far offshore. A new HFSWR, referred to as STRADIVARIUS, has been recently deployed by Diginext Inc. to cover the "Golfe du Lion" (GDL) in the Western Mediterranean Sea. This radar, which operates at 4.5 MHz, uses a proprietary phase coding technology that allows detection up to 300 km in a bistatic configuration (with a baseline of about 100 km). Although the primary purpose of the radar is vessel detection in relation to homeland security, it can also be used for ocean current monitoring. The current caused by an arriving <span class="hlt">tsunami</span> will shift the Bragg frequency by a value proportional to a component of its velocity, which can be easily obtained from the Doppler spectrum of the HFSWR signal. Using state of the art <span class="hlt">tsunami</span> generation and propagation models, we modeled <span class="hlt">tsunami</span> case studies in the western Mediterranean basin (both seismic and SMFs) and simulated the HFSWR backscattered signal that would be detected for the entire GDL and beyond. Based on simulated HFSWR signal, we developed two types of <span class="hlt">tsunami</span> detection algorithms: (i) one based on standard Doppler spectra, for which we found that to be detectable within the environmental and background current noises, the Doppler shift requires <span class="hlt">tsunami</span> currents to be at least 10-15 cm/s, which typically only occurs on the continental shelf in fairly shallow water; (ii) to allow earlier detection, a second algorithm computes correlations of the HFSWR signals at two distant locations, shifted in time by the <span class="hlt">tsunami</span> propagation time between these locations (easily computed based on bathymetry). We found that this</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_21");'>21</a></li> <li><a href="#" onclick='return showDiv("page_22");'>22</a></li> <li><a href="#" onclick='return showDiv("page_23");'>23</a></li> <li><a href="#" onclick='return showDiv("page_24");'>24</a></li> <li class="active"><span>25</span></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_25 --> <div class="footer-extlink text-muted" style="margin-bottom:1rem; text-align:center;">Some links on this page may take you to non-federal websites. 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