Sample records for lai poh san

  1. A Spatio-Temporal Enhancement Method for medium resolution LAI (STEM-LAI)

    NASA Astrophysics Data System (ADS)

    Houborg, Rasmus; McCabe, Matthew F.; Gao, Feng

    2016-05-01

    Satellite remote sensing has been used successfully to map leaf area index (LAI) across landscapes, but advances are still needed to exploit multi-scale data streams for producing LAI at both high spatial and temporal resolution. A multi-scale Spatio-Temporal Enhancement Method for medium resolution LAI (STEM-LAI) has been developed to generate 4-day time-series of Landsat-scale LAI from existing medium resolution LAI products. STEM-LAI has been designed to meet the demands of applications requiring frequent and spatially explicit information, such as effectively resolving rapidly evolving vegetation dynamics at sub-field (30 m) scales. In this study, STEM-LAI is applied to Moderate Resolution Imaging Spectroradiometer (MODIS) based LAI data and utilizes a reference-based regression tree approach for producing MODIS-consistent, but Landsat-based, LAI. The Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM) is used to interpolate the downscaled LAI between Landsat acquisition dates, providing a high spatial and temporal resolution improvement over existing LAI products. STARFM predicts high resolution LAI by blending MODIS and Landsat based information from a common acquisition date, with MODIS data from a prediction date. To demonstrate its capacity to reproduce fine-scale spatial features observed in actual Landsat LAI, the STEM-LAI approach is tested over an agricultural region in Nebraska. The implementation of a 250 m resolution LAI product, derived from MODIS 1 km data and using a scale consistent approach based on the Normalized Difference Vegetation Index (NDVI), is found to significantly improve accuracies of spatial pattern prediction, with the coefficient of efficiency (E) ranging from 0.77-0.94 compared to 0.01-0.85 when using 1 km LAI inputs alone. Comparisons against an 11-year record of in-situ measured LAI over maize and soybean highlight the utility of STEM-LAI in reproducing observed LAI dynamics (both characterized by r2 = 0.86) over a

  2. Estimating Leaf Area Index (LAI) in Vineyards Using the PocketLAI Smart-App.

    PubMed

    Orlando, Francesca; Movedi, Ermes; Coduto, Davide; Parisi, Simone; Brancadoro, Lucio; Pagani, Valentina; Guarneri, Tommaso; Confalonieri, Roberto

    2016-11-26

    Estimating leaf area index (LAI) of Vitis vinifera using indirect methods involves some critical issues, related to its discontinuous and non-homogeneous canopy. This study evaluates the smart app PocketLAI and hemispherical photography in vineyards against destructive LAI measurements. Data were collected during six surveys in an experimental site characterized by a high level of heterogeneity among plants, allowing us to explore a wide range of LAI values. During the last survey, the possibility to combine remote sensing data and in-situ PocketLAI estimates (smart scouting) was evaluated. Results showed a good agreement between PocketLAI data and direct measurements, especially for LAI ranging from 0.13 to 1.41 ( R ² = 0.94, RRMSE = 17.27%), whereas the accuracy decreased when an outlying value (vineyard LAI = 2.84) was included ( R ² = 0.77, RRMSE = 43.00%), due to the saturation effect in case of very dense canopies arising from lack of green pruning. The hemispherical photography showed very high values of R ², even in presence of the outlying value ( R ² = 0.94), although it showed a marked and quite constant overestimation error (RRMSE = 99.46%), suggesting the need to introduce a correction factor specific for vineyards. During the smart scouting, PocketLAI showed its reliability to monitor the spatial-temporal variability of vine vigor in cordon-trained systems, and showed a potential for a wide range of applications, also in combination with remote sensing.

  3. LAI inversion algorithm based on directional reflectance kernels.

    PubMed

    Tang, S; Chen, J M; Zhu, Q; Li, X; Chen, M; Sun, R; Zhou, Y; Deng, F; Xie, D

    2007-11-01

    Leaf area index (LAI) is an important ecological and environmental parameter. A new LAI algorithm is developed using the principles of ground LAI measurements based on canopy gap fraction. First, the relationship between LAI and gap fraction at various zenith angles is derived from the definition of LAI. Then, the directional gap fraction is acquired from a remote sensing bidirectional reflectance distribution function (BRDF) product. This acquisition is obtained by using a kernel driven model and a large-scale directional gap fraction algorithm. The algorithm has been applied to estimate a LAI distribution in China in mid-July 2002. The ground data acquired from two field experiments in Changbai Mountain and Qilian Mountain were used to validate the algorithm. To resolve the scale discrepancy between high resolution ground observations and low resolution remote sensing data, two TM images with a resolution approaching the size of ground plots were used to relate the coarse resolution LAI map to ground measurements. First, an empirical relationship between the measured LAI and a vegetation index was established. Next, a high resolution LAI map was generated using the relationship. The LAI value of a low resolution pixel was calculated from the area-weighted sum of high resolution LAIs composing the low resolution pixel. The results of this comparison showed that the inversion algorithm has an accuracy of 82%. Factors that may influence the accuracy are also discussed in this paper.

  4. Uncertainty Analysis in the Creation of a Fine-Resolution Leaf Area Index (LAI) Reference Map for Validation of Moderate Resolution LAI Products

    EPA Science Inventory

    The validation process for a moderate resolution leaf area index (LAI) product (i.e., MODIS) involves the creation of a high spatial resolution LAI reference map (Lai-RM), which when scaled to the moderate LAI resolution (i.e., >1 km) allows for comparison and analysis with this ...

  5. Evaluation of the MODIS LAI product using independent lidar-derived LAI: A case study in mixed conifer forest

    Treesearch

    Jennifer L. R. Jensen; Karen S. Humes; Andrew T. Hudak; Lee A. Vierling; Eric Delmelle

    2011-01-01

    This study presents an alternative assessment of the MODIS LAI product for a 58,000 ha evergreen needleleaf forest located in the western Rocky Mountain range in northern Idaho by using lidar data to model (R2=0.86, RMSE=0.76) and map LAI at higher resolution across a large number of MODIS pixels in their entirety. Moderate resolution (30 m) lidar-based LAI estimates...

  6. Patient and prescriber perspectives on long-acting injectable (LAI) antipsychotics and analysis of in-office discussion regarding LAI treatment for schizophrenia

    PubMed Central

    2013-01-01

    Background The research goal is to better understand prescriber, patient, and caregiver perspectives about long-acting injectable (LAI) antipsychotic therapy and how these perspectives affect LAI use. Addressing these perspectives in the clinic may lead to greater success in achieving therapeutic goals for the patient with schizophrenia. Methods Ethnographic information was collected from a non-random sample of 69 prescriber-patient conversations (60 with community mental health center [CMHC] psychiatrists; 9 with nurse-practitioners) recorded during treatment visits from August 2011 to February 2012, transcribed and analyzed. Discussions were categorized according to 11 predetermined CMHC topics. In-person observations were also conducted at 4 CMHCs, including home visits by researchers (n = 15 patients) prior to the CMHC visit and observations of patients receiving injections and interacting with staff. Telephone in-depth interviews with psychiatrists, patients, and caregivers to gather additional information on LAI discussion, prescription, or use were conducted. Results Antipsychotic treatment decisions were made without patient or caregiver input in 40 of 60 (67%) of psychiatrist-patient conversations. Involvement of patients or caregivers in treatment decisions was greater when discussing LAI (15 of 60 [25%]) vs oral antipsychotic treatment (5 of 60 [8%]). LAIs were not discussed by psychiatrists in 11 of 22 (50%) patients taking oral antipsychotics. When offered, more LAI-naïve patients expressed neutral (9 of 19 [47%]) rather than favorable (3 of 19 [16%]) or unfavorable (7 of 19 [37%]) responses. Prescribers were most concerned about potentially damaging the therapeutic relationship and side-effects when discussing LAIs while patient resistance was often related to negative feelings about injections. Psychiatrists had some success in overcoming patient objections to LAIs by addressing and decomposing initial resistance. More than half (11 of 19 [58

  7. Seasonal LAI in slash pine estimated with LANDSAT TM

    NASA Technical Reports Server (NTRS)

    Curran, Paul J.; Dungan, Jennifer L.; Gholz, Henry L.

    1990-01-01

    The leaf area index (LAI, total area of leaves per unit area of ground) of most forest canopies varies throughout the year, yet for logistical reasons it is difficult to estimate anything more detailed than a seasonal maximum LAI. To determine if remotely sensed data can be used to estimate LAI seasonally, field measurements of LAI were compared to normalized difference vegetation index (NDVI) values derived using LANDSAT Thematic Mapper (TM) data, for 16 fertilized and control slash pine plots on 3 dates. Linear relationships existed between NDVI and LAI with R(sup 2) values of 0.35, 0.75, and 0.86 for February 1988, September 1988, and March, 1989, respectively. This is the first reported study in which NDVI is related to forest LAI recorded during the month of sensor overpass. Predictive relationships based on data from eight of the plots were used to estimate the LAI of the other eight plots with a root-mean-square error of 0.74 LAI, which is 15.6 percent of the mean LAI. This demonstrates the potential use of LANDSAT TM data for studying seasonal dynamics in forest canopies.

  8. Linking in situ LAI and fine resolution remote sensing data to map reference LAI over cropland and grassland using geostatistical regression method

    NASA Astrophysics Data System (ADS)

    He, Yaqian; Bo, Yanchen; Chai, Leilei; Liu, Xiaolong; Li, Aihua

    2016-08-01

    Leaf Area Index (LAI) is an important parameter of vegetation structure. A number of moderate resolution LAI products have been produced in urgent need of large scale vegetation monitoring. High resolution LAI reference maps are necessary to validate these LAI products. This study used a geostatistical regression (GR) method to estimate LAI reference maps by linking in situ LAI and Landsat TM/ETM+ and SPOT-HRV data over two cropland and two grassland sites. To explore the discrepancies of employing different vegetation indices (VIs) on estimating LAI reference maps, this study established the GR models for different VIs, including difference vegetation index (DVI), normalized difference vegetation index (NDVI), and ratio vegetation index (RVI). To further assess the performance of the GR model, the results from the GR and Reduced Major Axis (RMA) models were compared. The results show that the performance of the GR model varies between the cropland and grassland sites. At the cropland sites, the GR model based on DVI provides the best estimation, while at the grassland sites, the GR model based on DVI performs poorly. Compared to the RMA model, the GR model improves the accuracy of reference LAI maps in terms of root mean square errors (RMSE) and bias.

  9. EPIC-Simulated and MODIS-Derived Leaf Area Index (LAI) ...

    EPA Pesticide Factsheets

    Leaf Area Index (LAI) is an important parameter in assessing vegetation structure for characterizing forest canopies over large areas at broad spatial scales using satellite remote sensing data. However, satellite-derived LAI products can be limited by obstructed atmospheric conditions yielding sub-optimal values, or complete non-returns. The United States Environmental Protection Agency’s Exposure Methods and Measurements and Computational Exposure Divisions are investigating the viability of supplemental modelled LAI inputs into satellite-derived data streams to support various regional and local scale air quality models for retrospective and future climate assessments. In this present study, one-year (2002) of plot level stand characteristics at four study sites located in Virginia and North Carolina are used to calibrate species-specific plant parameters in a semi-empirical biogeochemical model. The Environmental Policy Integrated Climate (EPIC) model was designed primarily for managed agricultural field crop ecosystems, but also includes managed woody species that span both xeric and mesic sites (e.g., mesquite, pine, oak, etc.). LAI was simulated using EPIC at a 4 km2 and 12 km2 grid coincident with the regional Community Multiscale Air Quality Model (CMAQ) grid. LAI comparisons were made between model-simulated and MODIS-derived LAI. Field/satellite-upscaled LAI was also compared to the corresponding MODIS LAI value. Preliminary results show field/satel

  10. Three Different Methods of Estimating LAI in a Small Watershed

    NASA Astrophysics Data System (ADS)

    Speckman, H. N.; Ewers, B. E.; Beverly, D.

    2015-12-01

    Leaf area index (LAI) is a critical input of models that improve predictive understanding of ecology, hydrology, and climate change. Multiple techniques exist to quantify LAI, most of which are labor intensive, and all often fail to converge on similar estimates. . Recent large-scale bark beetle induced mortality greatly altered LAI, which is now dominated by younger and more metabolically active trees compared to the pre-beetle forest. Tree mortality increases error in optical LAI estimates due to the lack of differentiation between live and dead branches in dense canopy. Our study aims to quantify LAI using three different LAI methods, and then to compare the techniques to each other and topographic drivers to develop an effective predictive model of LAI. This study focuses on quantifying LAI within a small (~120 ha) beetle infested watershed in Wyoming's Snowy Range Mountains. The first technique estimated LAI using in-situ hemispherical canopy photographs that were then analyzed with Hemisfer software. The second LAI estimation technique was use of the Kaufmann 1982 allometrerics from forest inventories conducted throughout the watershed, accounting for stand basal area, species composition, and the extent of bark beetle driven mortality. The final technique used airborne light detection and ranging (LIDAR) first DMS returns, which were used to estimating canopy heights and crown area. LIDAR final returns provided topographical information and were then ground-truthed during forest inventories. Once data was collected, a fractural analysis was conducted comparing the three methods. Species composition was driven by slope position and elevation Ultimately the three different techniques provided very different estimations of LAI, but each had their advantage: estimates from hemisphere photos were well correlated with SWE and snow depth measurements, forest inventories provided insight into stand health and composition, and LIDAR were able to quickly and

  11. Cross-Dehydrogenative Coupling Reactions Between P(O)-H and X-H (X = S, N, O, P) Bonds.

    PubMed

    Hosseinian, Akram; Farshbaf, Sepideh; Fekri, Leila Zare; Nikpassand, Mohammad; Vessally, Esmail

    2018-05-26

    P(O)-X (X = S, N, O, P) bond-containing compounds have extensive application in medicinal chemistry, agrochemistry, and material chemistry. These useful organophosphorus compounds also have many applications in organic synthesis. In light of the importance of titled compounds, there is continuing interest in the development of synthetic methods for P(O)-X bonds construction. In the last 4 years, the direct coupling reaction of P(O)-H compounds with thiols, alcohols, and amines/amides has received much attention because of the atom-economic character. This review aims to give an overview of new developments in cross-dehydrogenative coupling reactions between P(O)-H and X-H (X = S, N, O, P) bonds, with special emphasis on the mechanistic aspects of the reactions.

  12. A Configuration Framework and Implementation for the Least Privilege Separation Kernel

    DTIC Science & Technology

    2010-12-01

    The Altova Web site states that virtualization software, Parallels for Mac and Wine , is required for running it on MacOS and RedHat Linux...University of Singapore Singapore 28. Tan Lai Poh National University of Singapore Singapore 29. Quek Chee Luan Defence Science & Technology Agency Singapore

  13. BOREAS RSS-7 LAI, Gap Fraction, and FPAR Data

    NASA Technical Reports Server (NTRS)

    Hall, Forrest G. (Editor); Nickeson, Jaime (Editor); Chen, Jing

    2000-01-01

    The BOREAS RSS-7 team collected various data sets to develop and validate an algorithm to allow the retrieval of the spatial distribution of Leaf Area Index (LAI) from remotely sensed images. Ground measurements of LAI and Fraction of Photosynthetically Active Radiation (FPAR) absorbed by the plant canopy were made using the LAI-2000 and TRAC optical instruments during focused periods from 09-Aug-1993 to 19-Sep-1994. The measurements were intensive at the NSA and SSA tower sites, but were made just once or twice at auxiliary sites. The final processed LAI and FPAR data set is contained in tabular ASCII files. The data files are available on a CD-ROM (see document number 20010000884).

  14. An evaluation of MODIS 250-m data for green LAI estimation in crops

    NASA Astrophysics Data System (ADS)

    Gitelson, Anatoly A.; Wardlow, Brian D.; Keydan, Galina P.; Leavitt, Bryan

    2007-10-01

    Green leaf area index (LAI) is an important variable for climate modeling, estimates of primary production, agricultural yield forecasting, and many other diverse applications. Remotely sensed data provide considerable potential for estimating LAI at local, regional, and global scales. The goal of this study was to retrieve green LAI from MODIS 250-m vegetation index (VI) data for irrigated and rainfed maize and soybeans. The performance of both MODIS-derived NDVI and Wide Dynamic Range Vegetation Index (WDRVI) were evaluated across three growing seasons (2002 through 2004) over a wide range of LAI and also compared to the performance of NDVI and WDRVI derived from reflectance data collected at close-range across the same field locations. The NDVI vs. LAI relationship showed asymptotic behavior with a sharp decrease in the sensitivity of the NDVI to LAI exceeding 2 m2/m2 for both crops. WDRVI vs. LAI relation was linear across the entire range of LAI variation with determination coefficients above 0.93. Importantly, the coefficients of the close-range WDRVI vs. LAI equation and the MODIS-retrieved WDRVI vs. LAI equation were very close. The WDRVI was found to be capable of accurately estimating LAI across a much greater LAI range than the NDVI and can be used for assessing even slight variations in LAI, which are indicative of the early stages of plant stress. These results demonstrate the new possibilities for analyzing the spatio-temporal variation of the LAI of crops using multi-temporal MODIS 250-m imagery.

  15. Deriving Leaf Area Index (LAI) from multiple lidar remote sensing systems

    NASA Astrophysics Data System (ADS)

    Tang, H.; Dubayah, R.; Zhao, F.

    2012-12-01

    LAI is an important biophysical variable linking biogeochemical cycles of earth systems. Observations with passive optical remote sensing are plagued by saturation and results from different passive and active sensors are often inconsistent. Recently lidar remote sensing has been applied to derive vertical canopy structure including LAI and its vertical profile. In this research we compare LAI retrievals from three different types of lidar sensors. The study areas include the La Selva Biological Station in Costa Rica and Sierra Nevada Forest in California. We first obtain independent LAI estimates from different lidar systems including airborne lidar (LVIS), spaceborne lidar (GLAS) and ground lidar (Echidna). LAI retrievals are then evaluated between sensors as a function of scale, land cover type and sensor characteristics. We also assess the accuracy of these LAI products against ground measurements. By providing a link between ground observations, ground lidar, aircraft and space-based lidar we hope to demonstrate a path for deriving more accurate estimates of LAI on a global basis, and to provide a more robust means of validating passive optical estimates of this important variable.

  16. Assimilation of LAI time-series in crop production models

    NASA Astrophysics Data System (ADS)

    Kooistra, Lammert; Rijk, Bert; Nannes, Louis

    2014-05-01

    Agriculture is worldwide a large consumer of freshwater, nutrients and land. Spatial explicit agricultural management activities (e.g., fertilization, irrigation) could significantly improve efficiency in resource use. In previous studies and operational applications, remote sensing has shown to be a powerful method for spatio-temporal monitoring of actual crop status. As a next step, yield forecasting by assimilating remote sensing based plant variables in crop production models would improve agricultural decision support both at the farm and field level. In this study we investigated the potential of remote sensing based Leaf Area Index (LAI) time-series assimilated in the crop production model LINTUL to improve yield forecasting at field level. The effect of assimilation method and amount of assimilated observations was evaluated. The LINTUL-3 crop production model was calibrated and validated for a potato crop on two experimental fields in the south of the Netherlands. A range of data sources (e.g., in-situ soil moisture and weather sensors, destructive crop measurements) was used for calibration of the model for the experimental field in 2010. LAI from cropscan field radiometer measurements and actual LAI measured with the LAI-2000 instrument were used as input for the LAI time-series. The LAI time-series were assimilated in the LINTUL model and validated for a second experimental field on which potatoes were grown in 2011. Yield in 2011 was simulated with an R2 of 0.82 when compared with field measured yield. Furthermore, we analysed the potential of assimilation of LAI into the LINTUL-3 model through the 'updating' assimilation technique. The deviation between measured and simulated yield decreased from 9371 kg/ha to 8729 kg/ha when assimilating weekly LAI measurements in the LINTUL model over the season of 2011. LINTUL-3 furthermore shows the main growth reducing factors, which are useful for farm decision support. The combination of crop models and sensor

  17. Modeling the effect of photosynthetic vegetation properties on the NDVI--LAI relationship.

    PubMed

    Steltzer, Heidi; Welker, Jeffrey M

    2006-11-01

    Developing a relationship between the normalized difference vegetation index (NDVI) and the leaf area index (LAI) is essential to describe the pattern of spatial or temporal variation in LAI that controls carbon, water, and energy exchange in many ecosystem process models. Photosynthetic vegetation (PV) properties can affect the estimation of LAI, but no models integrate the effects of multiple species. We developed four alternative NDVI-LAI models, three of which integrate PV effects: no PV effects, leaf-level effects, canopy-level effects, and effects at both levels. The models were fit to data across the natural range of variation in NDVI for a widespread High Arctic ecosystem. The weight of evidence supported the canopy-level model (Akaike weight, wr = 0.98), which includes species-specific canopy coefficients that primarily scale fractional PV cover to LAI by accounting for the area of unexposed PV. Modeling the canopy-level effects improved prediction of LAI (R2 = 0.82) over the model with no PV effect (R2 = 0.71) across the natural range of variation in NDVI but did not affect the site-level estimate of LAI. Satellite-based methods to estimate species composition, a variable in the model, will need to be developed. We expect that including the effects of PV properties in NDVI-LAI models will improve prediction of LAI where species composition varies across space or changes over time.

  18. Evaluation and Validation of Updated MODIS C6 and VIIRS LAI/FPAR

    NASA Astrophysics Data System (ADS)

    Yan, K.; Park, T.; Chen, C.; Yang, B.; Yan, G.; Knyazikhin, Y.; Myneni, R. B.; CHOI, S.

    2015-12-01

    Leaf Area Index (LAI) and Fraction of Photosynthetically Active Radiation (0.4-0.7 μm) absorbed by vegetation (FPAR) play a key role in characterizing vegetation canopy functioning and energy absorption capacity. With radiative transfer realization, MODIS onboard NASA EOS Terra and Aqua satellites has provided globally continuous LAI/FPAR since 2000 and continuously updated the products with better quality. And NPP VIIRS shows the measurement capability to extend high-quality LAI/FPAR time series data records as a successor of MODIS. The primary objectives of this study are 1) to evaluate and validate newly updated MODIS Collection 6 (C6) LAI/FPAR product which has finer resolution (500m) and improved biome type input, and 2) to examine and adjust VIIRS LAI/FPAR algorithm for continuity with MODIS'. For MODIS C6 investigation, we basically measure the spatial coverage (i.e., main radiative transfer algorithm execution), continuity and consistency with Collection 5 (C5), and accuracy with field measured LAI/FPAR. And we also validate C6 LAI/FPAR via comparing other possible global LAI/FPAR products (e.g., GLASS and CYCLOPES) and capturing co-varying seasonal signatures with climatic variables (e.g., temperature and precipitation). For VIIRS evaluation and adjustment, we first quantify possible difference between C5 and MODIS heritage based VIIRS LAI/FPAR. Then based on the radiative transfer theory of canopy spectral invariants, we find VIIRS- and biome-specific configurable parameters (single scattering albedo and uncertainty). These two practices for MODIS C6 and VIIRS LAI/FPAR products clearly suggest that (a) MODIS C6 has better coverage and accuracy than C5, (b) C6 shows consistent spatiotemporal pattern with C5, (c) VIIRS has the potential for producing MODIS-like global LAI/FPAR Earth System Data Records.

  19. Carbon economics of LAI drive photosynthesis patterns across an Amazonian precipitation gradient

    NASA Astrophysics Data System (ADS)

    Flack, Sophie; Williams, Mathew; Meir, Patrick; Malhi, Yadvinder

    2017-04-01

    The Amazon rainforest is an integral part of the terrestrial carbon cycle, yet whilst the physiological response of its plants to water availability is increasingly well quantified, constraints to photosynthesis through adaptive response to precipitation regime have received little attention. We use the Soil Plant Atmosphere model to apportion variation in photosynthesis to individual drivers for plots with detailed measurements of carbon cycling, leaf traits and canopy properties, along an Amazonian mean annual precipitation (MAP) gradient. We hypothesised that leaf area index (LAI) would be the principal driver of variation in photosynthesis. Differences in LAI are predicted to result from economic factors; plants balance the carbon cost of leaf construction and maintenance with assimilation potential, to maximise canopy carbon export. Model analysis showed that LAI was the primary driver of differences in GPP along the precipitation gradient, accounting for 49% of observed variation. Meteorology accounted for 19%, whilst plant traits accounted for only 5%. To explain the observed spatial trends in LAI we undertook model experiments. For each plot the carbon budget was quantified iteratively using the field measured LAI time-series of the other plots, keeping meteorology, soil and plant traits constant. The mean annual LAI achieving maximum photosynthesis and net canopy carbon export increased with MAP, reflecting observed LAI trends. At the driest site, alternative, higher LAI strategies were unsustainable. The carbon cost of leaf construction and maintenance was disproportional to GPP achieved. At high MAP, increased foliar carbon costs were remunerative and GPP was maximised by high LAI. Our evidence therefore suggests that observed LAI trends across the precipitation gradient are driven by carbon economics. Forests LAI response to temporal changes in precipitation reflects trends observed across spatial gradients, identifying LAI as a key mechanism for plant

  20. Modeling variability and scale integration of LAI measurements

    Treesearch

    Kris Nackaerts; Pol Coppin

    2000-01-01

    Rapid and reliable estimation of leaf area at various scales is important for research on chance detection of leaf area index (LAI) as an indicator of ecosystem condition. It is of utmost importance to know to what extent boundary and illumination conditions, data aggregation method, and sampling scheme influence the relative accuracy of stand-level LAI measurements....

  1. Towards an improved LAI collection protocol via simulated field-based PAR sensing

    DOE PAGES

    Yao, Wei; Van Leeuwen, Martin; Romanczyk, Paul; ...

    2016-07-14

    In support of NASA’s next-generation spectrometer—the Hyperspectral Infrared Imager (HyspIRI)—we are working towards assessing sub-pixel vegetation structure from imaging spectroscopy data. Of particular interest is Leaf Area Index (LAI), which is an informative, yet notoriously challenging parameter to efficiently measure in situ. While photosynthetically-active radiation (PAR) sensors have been validated for measuring crop LAI, there is limited literature on the efficacy of PAR-based LAI measurement in the forest environment. This study (i) validates PAR-based LAI measurement in forest environments, and (ii) proposes a suitable collection protocol, which balances efficiency with measurement variation, e.g., due to sun flecks and various-sized canopymore » gaps. A synthetic PAR sensor model was developed in the Digital Imaging and Remote Sensing Image Generation (DIRSIG) model and used to validate LAI measurement based on first-principles and explicitly-known leaf geometry. Simulated collection parameters were adjusted to empirically identify optimal collection protocols. Furthermore, these collection protocols were then validated in the field by correlating PAR-based LAI measurement to the normalized difference vegetation index (NDVI) extracted from the “classic” Airborne Visible Infrared Imaging Spectrometer (AVIRIS-C) data (R 2 was 0.61). The results indicate that our proposed collecting protocol is suitable for measuring the LAI of sparse forest (LAI < 3–5 ( m 2/m 2)).« less

  2. Aboveground biomass and leaf area index (LAI) mapping for Niassa Reserve, northern Mozambique

    NASA Astrophysics Data System (ADS)

    Ribeiro, Natasha S.; Saatchi, Sassan S.; Shugart, Herman H.; Washington-Allen, Robert A.

    2008-09-01

    Estimations of biomass are critical in miombo woodlands because they represent the primary source of goods and services for over 80% of the population in southern Africa. This study was carried out in Niassa Reserve, northern Mozambique. The main objectives were first to estimate woody biomass and Leaf Area Index (LAI) using remotely sensed data [RADARSAT (C-band, λ = 5.7-cm)] and Landsat ETM+ derived Normalized Difference Vegetation Index (NDVI) and Simple Ratio (SR) calibrated by field measurements and, second to determine, at both landscape and plot scales, the environmental controls (precipitation, woody cover density, fire and elephants) of biomass and LAI. A land-cover map (72% overall accuracy) was derived from the June 2004 ETM+ mosaic. Field biomass and LAI were correlated with RADARSAT backscatter (rbiomass = 0.65, rLAI = 0.57, p < 0.0001) from July 2004, NDVI (rbiomass = 0.30, rLAI = 0.35; p < 0.0001) and SR (rbiomass = 0.36, rLAI = 0.40, p < 0.0001). A jackknife stepwise regression technique was used to develop the best predictive models for biomass (biomass = -5.19 + 0.074 * radarsat + 1.56 * SR, r2 = 0.55) and LAI (LAI = -0.66 + 0.01 * radarsat + 0.22 * SR, r2 = 0.45). Biomass and LAI maps were produced with an estimated peak of 18 kg m-2 and 2.80 m2 m-2, respectively. On the landscape-scale, both biomass and LAI were strongly determined by mean annual precipitation (F = 13.91, p = 0.0002). On the plot spatial scale, woody biomass was significantly determined by fire frequency, and LAI by vegetation type.

  3. New Features of the Collection 4 MODIS LAI and FPAR Product

    NASA Astrophysics Data System (ADS)

    Bin, T.; Yang, W.; Dong, H.; Shabanov, N.; Knyazikhin, Y.; Myneni, R.

    2003-12-01

    An algorithm based on physics of radiative transfer in vegetation canopies for the retrieval of vegetation green leaf area index (LAI) and fraction of absorbed photosynthetically active radiation (FPAR) from MODIS surface reflectance data was developed, prototyped and is in operational production at NASA computing facilities since June 2000. This poster highlights recent changes in the operational MODIS LAI and FPAR algorithm introduced for collection 4 data reprocessing. The changes to the algorithm are targeted to improve agreement of retrieved LAI and FPAR with corresponding field measurements, improve consistency of Quality Control (QC) definitions and miscellaneous bug fixes as summarized below. * Improvement of LUTs for the main and back-up algorithms for biomes 1 and 3. Benefits: a) increase in quality of retrievals; b) non-physical peaks in the global LAI distribution have been removed; c) improved agreement with field measurements * Improved QA scheme. Benefits: a) consistency between MODLAND and SCF quality flags has been achieved; b)ambiguity in QA has been resolved * New 8-day compositing scheme. Benefits: a) compositing over best quality retrievals, instead of all retrievals; b) lowers LAI values, decreases saturation and number of pixels generated by the back-up * At-launch static IGBP land cover, input to the LAI/FPAR algorithm, was replaced with the MODIS land cover map. Benefits: a) crosswalking of 17 classes IGBP scheme to 6-biome LC has been eliminated; b) uncertainties in the MODIS LAI/FPAR product due to uncertainties in land cover map have been reduced

  4. Collection of LAI and FPAR Data Over The Terra Core Sites

    NASA Technical Reports Server (NTRS)

    Myneni, Ranga B.; Knjazihhin, J.; Tian, Y.; Wang, Y.

    2001-01-01

    The objective of our effort was to collect and archive data on LAI (leaf area index) and FPAR (Fraction of Photosynthetically active Radiation absorbed by vegetation) at the EOS Core validation sites as well as to validate and evaluate global fields of LAI and FPAR derived from atmospherically corrected MODIS (Moderate Resolution Imaging Spectrometer) surface reflectance data by comparing these fields with the EOS Core validation data set. The above has been accomplished by: (a) the participation in selected field campaigns within the EOS Validation Program; (b) the processing of the collected data so that suitable comparison between field measurements and the MODIS LAI/FPAR fields can be made; (c) the comparison of the MODAS LAI/FRAM fields with the EOS Terra Core validation data set.

  5. Remote Sensing of Miombo Woodland's Aboveground Biomass and LAI using RADARSAT and Landsat ETM+ Data

    NASA Astrophysics Data System (ADS)

    Ribeiro, N. S.; Saatchi, S. S.; Shugart, H. H.; Wshington-Allen, R. A.

    2007-05-01

    Estimations of biomass are critical in Miombo Woodlands because they represent a primary source of food, fiber, and fuel for 340 million rural peoples and another 15 million urban dwellers in southern Africa. The purpose of this study is to estimate woody aboveground biomass and Leaf Area Index (LAI) in Niassa Reserve, northern Mozambique. The objective of this study is to use optical and microwave satellite data with contemporaneous field data to estimate biomass and LAI. Fifty field plots were surveyed across the Niassa Reserve for biomass and LAI in July and December 2004, respectively. Remote sensing data consisting of RADARSAT backscatter (C- band, ë=5.6 cm) and a June 2004 Landsat ETM+ were acquired. Normalized Difference Vegetation Index (NDVI), Simple Ratio (SR), and a land-cover map (72% total accuracy) were derived from the Landsat scene. Field measurements of biomass and LAI correlated with Radarsat backscatter (Rsqbiomass=0.45, RsqLAI = 0.35, P<0.0001 ), NDVI (Rsqbiomass =0.15, RsqLAI=0.14-, p <0.0001 ) and SR (Rsqbiomass=-0.14, RsqLAI= 0.17, p <0.0001). A jackknife stepwise regression technique was used to develop the best predictive models for biomass (biomass = -5.19 +0.074*radarsat+1.56*SR, Rsq=0.53) and LAI (LAI= -0.66+0.01*radarsat+0.22*SR, Rsq=0.45). The addition of NDVI did not improve the model. Forest biomass and LAI maps were then produced for Niassa Reserve with an estimated peak total biomass of 18 kg/hm2 and a mean LAI of 2.8 m2/m2. In the east both biomass and LAI are lower than the western Niassa Reserve.

  6. A New Global LAI Product and Its Use for Terrestrial Carbon Cycle Estimation

    NASA Astrophysics Data System (ADS)

    Chen, J. M.; Liu, R.; Ju, W.; Liu, Y.

    2014-12-01

    For improving the estimation of the spatio-temporal dynamics of the terrestrial carbon cycle, a new time series of the leaf area index (LAI) is generated for the global land surface at 8 km resolution from 1981 to 2012 by combining AVHRR and MODIS satellite data. This product differs from existing LAI products in the following two aspects: (1) the non-random spatial distribution of leaves with the canopy is considered, and (2) the seasonal variation of the vegetation background is included. The non-randomness of the leaf spatial distribution in the canopy is considered using the second vegetation structural parameter named clumping index (CI), which quantifies the deviation of the leaf spatial distribution from the random case. Using the MODIS Bidirectional Reflectance Distribution Function product, a global map of CI is produced at 500 m resolution. In our LAI algorithm, CI is used to convert the effective LAI obtained from mono-angle remote sensing into the true LAI, otherwise LAI would be considerably underestimated. The vegetation background is soil in crop, grass and shrub but includes soil, grass, moss, and litter in forests. Through processing a large volume of MISR data from 2000 to 2010, monthly red and near-infrared reflectances of the vegetation background is mapped globally at 1 km resolution. This new LAI product has been validated extensively using ground-based LAI measurements distributed globally. In carbon cycle modeling, the use of CI in addition to LAI allows for accurate separation of sunlit and shaded leaves as an important step in terrestrial photosynthesis and respiration modeling. Carbon flux measurements over 100 sites over the globe are used to validate an ecosystem model named Boreal Ecosystem Productivity Simulator (BEPS). The validated model is run globally at 8 km resolution for the period from 1981 to 2012 using the LAI product and other spatial datasets. The modeled results suggest that changes in vegetation structure as quantified

  7. Comparison of the New LEAF Area INDEX (LAI 3G) with the Kazahstan-Wide LEAF Area INDEX DATA SET (GGRS-LAI) over Central ASIA

    NASA Astrophysics Data System (ADS)

    Kappas, M.; Propastin, P.; Degener, J.; Renchin, T.

    2014-12-01

    Long-term global data sets of Leaf Area Index (LAI) are important for monitoring global vegetation dynamics. LAI indicating phenological development of vegetation is an important state variable for modeling land surface processes. The comparison of long-term data sets is based on two recently available data sets both derived from AVHRR time series. The LAI 3g data set introduced by Zaichun Zhu et al. (2013) is developed from the new improved third generation Global Inventory Modeling and Mapping Studies (GIMMS) Normalized Difference Vegetation Index (NDVI3g) and best-quality MODIS LAI data. The second long-term data set is based on the 8 km spatial resolution GIMMS-AVHRR data (GGRS-data set by Propastin et al. 2012). The GGRS-LAI product uses a three-dimensional physical radiative transfer model which establishes relationship between LAI, vegetation fractional cover and given patterns of surface reflectance, view-illumination conditions and optical properties of vegetation. The model incorporates a number of site/region specific parameters, including the vegetation architecture variables such as leaf angle distribution, clumping index, and light extinction coefficient. For the application of the model to Kazakhstan, the vegetation architecture variables were computed at the local (pixel) level based on extensive field surveys of the biophysical properties of vegetation in representative grassland areas of Kazakhstan. The comparison of both long-term data sets will be used to interpret their quality for scientific research in other disciplines. References:Propastin, P., Kappas, M. (2012). Retrieval of coarse-resolution leaf area index over the Republic of Kazakhstan using NOAA AVHRR satellite data and ground measurements," Remote Sensing, vol. 4, no. 1, pp. 220-246. Zaichun Zhu, Jian Bi, Yaozhong Pan, Sangram Ganguly, Alessandro Anav, Liang Xu, Arindam Samanta, Shilong Piao, Ramakrishna R. Nemani and Ranga B. Myneni (2013). Global Data Sets of Vegetation Leaf Area

  8. Model-simulated and Satellite-derived Leaf Area Index (LAI) Comparisons Across Multiple Spatial Scales

    NASA Astrophysics Data System (ADS)

    Iiames, J. S., Jr.; Cooter, E. J.

    2016-12-01

    Leaf Area Index (LAI) is an important parameter in assessing vegetation structure for characterizing forest canopies over large areas at broad spatial scales using satellite remote sensing data. However, satellite-derived LAI products can be limited by obstructed atmospheric conditions yielding sub-optimal values, or complete non-returns. The United States Environmental Protection Agency's Exposure Methods and Measurements and Computational Exposure Divisions are investigating the viability of supplemental modelled LAI inputs into satellite-derived data streams to support various regional and local scale air quality models for retrospective and future climate assessments. In this present study, one-year (2002) of plot level stand characteristics at four study sites located in Virginia and North Carolina (USA) are used to calibrate species-specific plant parameters in a semi-empirical biogeochemical model. The Environmental Policy Integrated Climate (EPIC) model was designed primarily for managed agricultural field crop ecosystems, but also includes managed woody species that span both xeric and mesic sites (e.g., mesquite, pine, oak, etc.). LAI was simulated using EPIC at a 4 km2 and 12 km2 grid coincident with the regional Community Multiscale Air Quality Model (CMAQ) grid. LAI comparisons were made between model-simulated and MODIS-derived LAI. Field/satellite-upscaled LAI was also compared to the corresponding MODIS LAI value. Preliminary results show field/satellite-upscaled LAI (1 km2) was 1.5 to 3 times smaller than that with the corresponding 1 km2 MODIS LAI for all four sites across all dates, with the largest discrepancies occurring at leaf-out and leaf senescence periods. Simulated LAI/MODIS LAI comparison results will be presented at the conference. Disclaimer: This work is done in support of EPA's Sustainable Healthy Communities Research Program. The U.S. Environmental Protection Agency funded and conducted the research described in this paper. Although

  9. Constructing seasonal LAI trajectory by data-model fusion for global evergreen needle-leaf forests

    NASA Astrophysics Data System (ADS)

    Wang, R.; Chen, J.; Mo, G.

    2010-12-01

    For decades, advancements in optical remote sensors made it possible to produce maps of a biophysical parameter--the Leaf Area Index (LAI), which is critically necessary in regional and global modeling of exchanges of carbon, water, energy and other substances, across large areas in a fast way. Quite a few global LAI products have been generated since 2000, e.g. GLOBCARBON (Deng et al., 2006), MODIS Collection 5 (Shabanov et al., 2007), CYCLOPES (Baret et al., 2007), etc. Albeit these progresses, the basic physics behind the technology restrains it from accurate estimation of LAI in winter, especially for northern high-latitude evergreen needle-leaf forests. Underestimation of winter LAI in these regions has been reported in literature (Yang et al., 2000; Cohen et al., 2003; Tian et al., 2004; Weiss et al., 2007; Pisek et al., 2007), and the distortion is usually attributed to the variations of canopy reflectance caused by understory change (Weiss et al., 2007) as well as by the presence of ice and snow on leaves and ground (Cohen, 2003; Tian et al., 2004). Seasonal changes in leaf pigments can also be another reason for low LAI retrieved in winter. Low conifer LAI values in winter retrieved from remote sensing make them unusable for surface energy budget calculations. To avoid these drawbacks of remote sensing approaches, we attempt to reconstruct the seasonal LAI trajectory through model-data fusion. A 1-degree LAI map of global evergreen needle-leaf forests at 10-day interval is produced based on the carbon allocation principle in trees. With net primary productivity (NPP) calculated by the Boreal Ecosystems Productivity Simulator (BEPS) (Chen et al., 1999), carbon allocated to needles is quantitatively evaluated and then can be further transformed into LAI using the specific leaf area (SLA). A leaf-fall scheme is developed to mimic the carbon loss caused by falling needles throughout the year. The seasonally maximum LAI from remote sensing data for each pixel

  10. Retrieving Leaf Area Index (LAI) Using Remote Sensing: Theories, Methods and Sensors

    PubMed Central

    Zheng, Guang; Moskal, L. Monika

    2009-01-01

    The ability to accurately and rapidly acquire leaf area index (LAI) is an indispensable component of process-based ecological research facilitating the understanding of gas-vegetation exchange phenomenon at an array of spatial scales from the leaf to the landscape. However, LAI is difficult to directly acquire for large spatial extents due to its time consuming and work intensive nature. Such efforts have been significantly improved by the emergence of optical and active remote sensing techniques. This paper reviews the definitions and theories of LAI measurement with respect to direct and indirect methods. Then, the methodologies for LAI retrieval with regard to the characteristics of a range of remotely sensed datasets are discussed. Remote sensing indirect methods are subdivided into two categories of passive and active remote sensing, which are further categorized as terrestrial, aerial and satellite-born platforms. Due to a wide variety in spatial resolution of remotely sensed data and the requirements of ecological modeling, the scaling issue of LAI is discussed and special consideration is given to extrapolation of measurement to landscape and regional levels. PMID:22574042

  11. Retrieving Leaf Area Index (LAI) Using Remote Sensing: Theories, Methods and Sensors.

    PubMed

    Zheng, Guang; Moskal, L Monika

    2009-01-01

    The ability to accurately and rapidly acquire leaf area index (LAI) is an indispensable component of process-based ecological research facilitating the understanding of gas-vegetation exchange phenomenon at an array of spatial scales from the leaf to the landscape. However, LAI is difficult to directly acquire for large spatial extents due to its time consuming and work intensive nature. Such efforts have been significantly improved by the emergence of optical and active remote sensing techniques. This paper reviews the definitions and theories of LAI measurement with respect to direct and indirect methods. Then, the methodologies for LAI retrieval with regard to the characteristics of a range of remotely sensed datasets are discussed. Remote sensing indirect methods are subdivided into two categories of passive and active remote sensing, which are further categorized as terrestrial, aerial and satellite-born platforms. Due to a wide variety in spatial resolution of remotely sensed data and the requirements of ecological modeling, the scaling issue of LAI is discussed and special consideration is given to extrapolation of measurement to landscape and regional levels.

  12. Quantifying forest LAI succession in sub-tropical forests using time-series of Landsat data, 1987 -2015

    NASA Astrophysics Data System (ADS)

    Wu, Q.; Song, J.; Wang, J.; Chen, S.; Yu, B.; Liao, L.

    2016-12-01

    Monitoring the dynamics of leaf area index (LAI) throughout the life-cycle of forests (from seeding to maturity) is vital for simulating forest growth and quantifying carbon sequestration. However, all current global LAI produts show extremely low accuracy in forests and the coarse spatial resolution(nearly 1-km) mismatch with the spatial scale of forest inventory plots (nearly 26m*26m). To date, several studies have explored the possibility of satellite data to classify forest succession or predict stand age. And a few studies have explored the potential of using long term Landsat data to monitor the growing trend of forests, but no studies have quantified the inter-annual and intra-annual LAI dynamics along with forest succession. Vegetation indexes are not perfect variables in quantifying forest foliage dynamics. Hallet (1995) suggested remote sensing of biophysical characteristics should shift away from direct inference from vegetation indices toward more physically based algorithms. This work intends to be a pioneer example for improving the accuracy of forests LAI and providing temporal-spatial matching LAI datasets for monitoring forest processes. We integrates the Geometric-Optical and Radiative Transfer (GORT) model with the Physiological Principles Predicting Growth (3-PG) model to improve the estimation of the forest canopy LAI dynamics. Reflectance time-series data from 1987 to 2015 were collected and preprocessed for forests in southern China, using all available Landsat data (with <80% cloud). Effective LAI and true LAI were field measured to validate our results using various instruments, including digital hemispheric photographs (DHP), LAI-2000 Plant Canopy Analyzer (LI-COR), and Tracing radiation and Architecture of Canopies (TRAC). Results show that the relationship between spectral metrics of satellite images and forest LAI is clear in early stages before maturity. 3-PG provide accurate inter-annual trend of forest LAI, while satellite images

  13. A sensitivity analysis of a surface energy balance model to LAI (Leaf Area Index)

    NASA Astrophysics Data System (ADS)

    Maltese, A.; Cannarozzo, M.; Capodici, F.; La Loggia, G.; Santangelo, T.

    2008-10-01

    The LAI is a key parameter in hydrological processes, especially in the physically based distribution models. It is a critical ecosystem attribute since physiological processes such as photosynthesis, transpiration and evaporation depend on it. The diffusion of water vapor, momentum, heat and light through the canopy is regulated by the distribution and density of the leaves, branches, twigs and stems. The LAI influences the sensible heat flux H in the surface energy balance single source models through the calculation of the roughness length and of the displacement height. The aerodynamic resistance between the soil and within-canopy source height is a function of the LAI through the roughness length. This research carried out a sensitivity analysis of some of the most important parameters of surface energy balance models to the LAI time variation, in order to take into account the effects of the LAI variation with the phenological period. Finally empirical retrieved relationships between field spectroradiometric data and the field LAI measured via a light-sensitive instrument are presented for a cereal field.

  14. Evaluation of Global LAI/FPAR Products from VIIRS and MODIS: Spatiotemporal Consistency and Uncertainty

    NASA Astrophysics Data System (ADS)

    Xu, B.; Park, T.; Yan, K.; Chen, C.; Jing, L.; Qinhuo, L.; Song, W.; Knyazikhin, Y.; Myneni, R.

    2017-12-01

    The operational EOS MODIS LAI/FPAR algorithm has been successfully transitioned to Suomi-NPP VIIRS by optimizing a small set of configurable parameters in Look-Up-Tables (LUTs). Our preliminary evaluation results show a reasonable agreement between VIIRS and MODIS LAI/FPAR retrievals. However, we still need more comprehensive investigations to assure the continuity of multi-sensor based global LAI/FPAR time series, as the preliminary evaluation was spatiotemporally limited. Here, we used a multi-year (2012-2016) global LAI/FPAR product generated from VIIRS Version 1 and MODIS Collection 6 to evaluate their spatiotemporal consistency at global and site scales. We also quantified the uncertainty of the product by defining and measuring theoretical and physical terms. For both consistency and uncertainty evaluation, we accounted varying biome types and temporal resolutions (i.e., 8-day, seasonal and annual steps). A newly developed approach (a.k.a., Grading and Upscaling Ground Measurements, GUGM) generating accurate validation datasets was implemented to help validating both products. Our results clearly indicate that the LAI/FPAR retrievals from VIIRS and MODIS are quite consistent at different spatio- (i.e., global and site) and temporal- (i.e., 8-day, seasonal and annual) scales. It is also worthy to note that the rate of retrievals from the radiative transfer based main algorithm is also comparable. However, we also saw a relatively larger LAI/FPAR discrepancy over highly dense tropical forests and a slightly less retrieval rate (main algorithm) from VIIRS over high latitude regions. For the uncertainty assessment, the theoretical uncertainty of VIIRS LAI (FPAR) is less than 0.2 (0.06) for non-forest and 0.9 (0.08) for forest, which is nearly identical to those of MODIS. The physical uncertainties of VIIRS and MODIS LAI (FPAR) products assessed by comparing to ground measurements are estimated by 0.60 (0.10) and 0.55 (0.11), respectively. All of the results

  15. [Tasseled cap triangle (TCT)-leaf area index (LAI)model of rice fields based on PROSAIL model and its application].

    PubMed

    Li, Ya Ni; Lu, Lei; Liu, Yong

    2017-12-01

    The tasseled cap triangle (TCT)-leaf area index (LAI) isoline is a model that reflects the distribution of LAI isoline in the spectral space constituted by reflectance of red and near-infrared (NIR) bands, and the LAI retrieval model developed on the basis of this is more accurate than the commonly used statistical relationship models. This study used ground-based measurements of the rice field, validated the applicability of PROSAIL model in simulating canopy reflectance of rice field, and calibrated the input parameters of the model. The ranges of values of PROSAIL input parameters for simulating rice canopy reflectance were determined. Based on this, the TCT-LAI isoline model of rice field was established, and a look-up table (LUT) required in remote sensing retrieval of LAI was developed. Then, the LUT was used for Landsat 8 and WorldView 3 data to retrieve LAI of rice field, respectively. The results showed that the LAI retrieved using the LUT developed from TCT-LAI isoline model had a good linear relationship with the measured LAI R 2 =0.76, RMSE=0.47. Compared with the LAI retrieved from Landsat 8, LAI values retrieved from WorldView 3 va-ried with wider range, and data distribution was more scattered. Resampling the Landsat 8 and WorldView 3 reflectance data to 1 km to retrieve LAI, the result of MODIS LAI product was significantly underestimated compared to that of retrieved LAI.

  16. Retrieval of Vertical LAI Profiles Over Tropical Rain Forests using Waveform Lidar at La Selva, Costa Rica

    NASA Technical Reports Server (NTRS)

    Tang, Hao; Dubayah, Ralph; Swatantra, Anu; Hofton, Michelle; Sheldon, Sage; Clark, David B.; Blair, Bryan

    2012-01-01

    This study explores the potential of waveform lidar in mapping the vertical and spatial distributions of leaf area index (LAI) over the tropical rain forest of La Selva Biological Station in Costa Rica. Vertical profiles of LAI were derived at 0.3 m height intervals from the Laser Vegetation Imaging Sensor (LVIS) data using the Geometric Optical and Radiative Transfer (GORT) model. Cumulative LAI profiles obtained from LVIS were validated with data from 55 ground to canopy vertical transects using a modular field tower to destructively sample all vegetation. Our results showed moderate agreement between lidar and field derived LAI (r2=0.42, RMSE=1.91, bias=-0.32), which further improved when differences between lidar and tower footprint scales (r2=0.50, RMSE=1.79, bias=0.27) and distance of field tower from lidar footprint center (r2=0.63, RMSE=1.36, bias=0.0) were accounted for. Next, we mapped the spatial distribution of total LAI across the landscape and analyzed LAI variations over different land cover types. Mean values of total LAI were 1.74, 5.20, 5.41 and 5.62 over open pasture, secondary forests, regeneration forests after selective-logging and old-growth forests respectively. Lastly, we evaluated the sensitivities of our LAI retrieval model to variations in canopy/ground reflectance ratio and to waveform noise such as induced by topographic slopes. We found for both, that the effects were not significant for moderate LAI values (about 4). However model derivations of LAI might be inaccurate in areas of high-slope and high LAI (about 8) if ground return energies are low. This research suggests that large footprint waveform lidar can provide accurate vertical LAI profile estimates that do not saturate even at the high LAI levels in tropical rain forests and may be a useful tool for understanding the light transmittance within these canopies.

  17. Simulated and Inferred LAI, NPP, and Biomes in North America Since the Last Glacial Maximum.

    NASA Astrophysics Data System (ADS)

    Zajac, L. M.; Williams, J. W.; Kaplan, J.

    2004-12-01

    Vegetation structure and productivity are sensitive to climate change and are an important source of feedbacks to the climate system. Here we employ multiple lines of evidence to reconstruct variations in leaf area index (LAI), net primary productivity (NPP), and biomes. LAI determines the total canopy surface area available for light interception, gas exchange, and water loss, and NPP, the increase in plant carbon per unit area, measures the flux of carbon into the terrestrial biosphere. BIOME4, an equilibrium biogeography and biogeochemistry vegetation model, is used to simulate LAI, NPP, and biome distributions in North America for the past 21,000 years at 1,000-year time-steps. BIOME4 was coupled asynchronously to the Hadley Center Unified Model with a mixed-layer ocean model forced by variations in orbital boundary conditions, physiography, and atmospheric CO2 concentration (Kaplan et al. 2002). BIOME4 models LAI as a trade-off between maximizing light interception and minimizing water loss and assigns the LAI that maximizes NPP. Past LAI's and biomes, independently estimated from fossil pollen assemblages using the modern analogue technique, are compared to model results. In unglaciated eastern North America, canopy closure of the full-glacial conifer forests and woodlands in response to ameliorating climatic conditions resulted in a 80% increase in LAI's between 21 ka and 11 ka. After 8 ka, large areas of tundra and forest-tundra developed in deglaciated regions. The BIOME4 simulations show good agreement with the LAI's and biome distribution inferred from fossil pollen records. Sensitivity analyses with BIOME4 indicate that both climate and CO2 played important roles in regulating vegetation structure and productivity.

  18. Directional effects on NDVI and LAI retrievals from MODIS: A case study in Brazil with soybean

    NASA Astrophysics Data System (ADS)

    Breunig, Fábio Marcelo; Galvão, Lênio Soares; Formaggio, Antônio Roberto; Epiphanio, José Carlos Neves

    2011-02-01

    The Moderate Resolution Imaging Spectroradiometer (MODIS) is largely used to estimate Leaf Area Index (LAI) using radiative transfer modeling (the "main" algorithm). When this algorithm fails for a pixel, which frequently occurs over Brazilian soybean areas, an empirical model (the "backup" algorithm) based on the relationship between the Normalized Difference Vegetation Index (NDVI) and LAI is utilized. The objective of this study is to evaluate directional effects on NDVI and subsequent LAI estimates using global (biome 3) and local empirical models, as a function of the soybean development in two growing seasons (2004-2005 and 2005-2006). The local model was derived from the pixels that had LAI values retrieved from the main algorithm. In order to keep the reproductive stage for a given cultivar as a constant factor while varying the viewing geometry, pairs of MODIS images acquired in close dates from opposite directions (backscattering and forward scattering) were selected. Linear regression relationships between the NDVI values calculated from these two directions were evaluated for different view angles (0-25°; 25-45°; 45-60°) and development stages (<45; 45-90; >90 days after planting). Impacts on LAI retrievals were analyzed. Results showed higher reflectance values in backscattering direction due to the predominance of sunlit soybean canopy components towards the sensor and higher NDVI values in forward scattering direction due to stronger shadow effects in the red waveband. NDVI differences between the two directions were statistically significant for view angles larger than 25°. The main algorithm for LAI estimation failed in the two growing seasons with gradual crop development. As a result, up to 94% of the pixels had LAI values calculated from the backup algorithm at the peak of canopy closure. Most of the pixels selected to compose the 8-day MODIS LAI product came from the forward scattering view because it displayed larger LAI values than the

  19. Digital cover photography for estimating leaf area index (LAI) in apple trees using a variable light extinction coefficient.

    PubMed

    Poblete-Echeverría, Carlos; Fuentes, Sigfredo; Ortega-Farias, Samuel; Gonzalez-Talice, Jaime; Yuri, Jose Antonio

    2015-01-28

    Leaf area index (LAI) is one of the key biophysical variables required for crop modeling. Direct LAI measurements are time consuming and difficult to obtain for experimental and commercial fruit orchards. Devices used to estimate LAI have shown considerable errors when compared to ground-truth or destructive measurements, requiring tedious site-specific calibrations. The objective of this study was to test the performance of a modified digital cover photography method to estimate LAI in apple trees using conventional digital photography and instantaneous measurements of incident radiation (Io) and transmitted radiation (I) through the canopy. Leaf area of 40 single apple trees were measured destructively to obtain real leaf area index (LAI(D)), which was compared with LAI estimated by the proposed digital photography method (LAI(M)). Results showed that the LAI(M) was able to estimate LAI(D) with an error of 25% using a constant light extinction coefficient (k = 0.68). However, when k was estimated using an exponential function based on the fraction of foliage cover (f(f)) derived from images, the error was reduced to 18%. Furthermore, when measurements of light intercepted by the canopy (Ic) were used as a proxy value for k, the method presented an error of only 9%. These results have shown that by using a proxy k value, estimated by Ic, helped to increase accuracy of LAI estimates using digital cover images for apple trees with different canopy sizes and under field conditions.

  20. Analysis on Difference of Forest Phenology Extracted from EVI and LAI Based on PhenoCams

    NASA Astrophysics Data System (ADS)

    Wang, C.; Jing, L.; Qinhuo, L.

    2017-12-01

    Land surface phenology can make up for the deficiency of field observation with advantages of capturing the continuous expression of phenology on a large scale. However, there are some variability in phenological metrics derived from different satellite time-series data of vegetation parameters. This paper aims at assessing the difference of phenology information extracted from EVI and LAI time series. To achieve this, some web-camera sites were selected to analyze the characteristics between MODIS-EVI and MODIS-LAI time series from 2010 to 2014 for different forest types, including evergreen coniferous forest, evergreen broadleaf forest, deciduous coniferous forest and deciduous broadleaf forest. At the same time, satellite-based phenological metrics were extracted by the Logistics algorithm and compared with camera-based phenological metrics. Results show that the SOS and EOS that are extracted from LAI are close to bud burst and leaf defoliation respectively, while the SOS and EOS that are extracted from EVI is close to leaf unfolding and leaf coloring respectively. Thus the SOS that is extracted from LAI is earlier than that from EVI, while the EOS that is extracted from LAI is later than that from EVI at deciduous forest sites. Although the seasonal variation characteristics of evergreen forests are not apparent, significant discrepancies exist in LAI time series and EVI time series. In addition, Satellite- and camera-based phenological metrics agree well generally, but EVI has higher correlation with the camera-based canopy greenness (green chromatic coordinate, gcc) than LAI.

  1. How consistent are global long-term satellite LAI products in terms of interannual variability and trend?

    NASA Astrophysics Data System (ADS)

    Jiang, C.; Ryu, Y.; Fang, H.

    2016-12-01

    Proper usage of global satellite LAI products requires comprehensive evaluation. To address this issue, the Committee on Earth Observation Satellites (CEOS) Land Product Validation (LPV) subgroup proposed a four-stage validation hierarchy. During the past decade, great efforts have been made following this validation framework, mainly focused on absolute magnitude, seasonal trajectory, and spatial pattern of those global satellite LAI products. However, interannual variability and trends of global satellite LAI products have been investigated marginally. Targeting on this gap, we made an intercomparison between seven global satellite LAI datasets, including four short-term ones: MODIS C5, MODIS C6, GEOV1, MERIS, and three long-term products ones: LAI3g, GLASS, and GLOBMAP. We calculated global annual LAI time series for each dataset, among which we found substantial differences. During the overlapped period (2003 - 2011), MODIS C5, GLASS and GLOBMAP have positive correlation (r > 0.6) between each other, while MODIS C6, GEOV1, MERIS, and LAI3g are highly consistent (r > 0.7) in interannual variations. However, the previous three datasets show negative trends, all of which use MODIS C5 reflectance data, whereas the latter four show positive trends, using MODIS C6, SPOT/VGT, ENVISAT/MERIS, and NOAA/AVHRR, respectively. During the pre-MODIS era (1982 - 1999), the three AVHRR-based datasets (LAI3g, GLASS and GLOBMAP) agree well (r > 0.7), yet all of them show oscillation related with NOAA platform changes. In addition, both GLASS and GLOBMAP show clear cut-points around 2000 when they move from AVHRR to MODIS. Such inconsistency is also visible for GEOV1, which uses SPOT-4 and SPOT-5 before and after 2002. We further investigate the map-to-map deviations among these products. This study highlights that continuous sensor calibration and cross calibration are essential to obtain reliable global LAI time series.

  2. [Hyperspectral Estimation of Apple Tree Canopy LAI Based on SVM and RF Regression].

    PubMed

    Han, Zhao-ying; Zhu, Xi-cun; Fang, Xian-yi; Wang, Zhuo-yuan; Wang, Ling; Zhao, Geng-Xing; Jiang, Yuan-mao

    2016-03-01

    Leaf area index (LAI) is the dynamic index of crop population size. Hyperspectral technology can be used to estimate apple canopy LAI rapidly and nondestructively. It can be provide a reference for monitoring the tree growing and yield estimation. The Red Fuji apple trees of full bearing fruit are the researching objects. Ninety apple trees canopies spectral reflectance and LAI values were measured by the ASD Fieldspec3 spectrometer and LAI-2200 in thirty orchards in constant two years in Qixia research area of Shandong Province. The optimal vegetation indices were selected by the method of correlation analysis of the original spectral reflectance and vegetation indices. The models of predicting the LAI were built with the multivariate regression analysis method of support vector machine (SVM) and random forest (RF). The new vegetation indices, GNDVI527, ND-VI676, RVI682, FD-NVI656 and GRVI517 and the previous two main vegetation indices, NDVI670 and NDVI705, are in accordance with LAI. In the RF regression model, the calibration set decision coefficient C-R2 of 0.920 and validation set decision coefficient V-R2 of 0.889 are higher than the SVM regression model by 0.045 and 0.033 respectively. The root mean square error of calibration set C-RMSE of 0.249, the root mean square error validation set V-RMSE of 0.236 are lower than that of the SVM regression model by 0.054 and 0.058 respectively. Relative analysis of calibrating error C-RPD and relative analysis of validation set V-RPD reached 3.363 and 2.520, 0.598 and 0.262, respectively, which were higher than the SVM regression model. The measured and predicted the scatterplot trend line slope of the calibration set and validation set C-S and V-S are close to 1. The estimation result of RF regression model is better than that of the SVM. RF regression model can be used to estimate the LAI of red Fuji apple trees in full fruit period.

  3. Relation of MODIS EVI and LAI across time, vegetation types and hydrological regimes

    NASA Astrophysics Data System (ADS)

    Alexandridis, Thomas; Ovakoglou, George

    2015-04-01

    Estimation of the Leaf Area Index (LAI) of a landscape is considered important to describe the ecosystems activity and is used as an important input parameter in hydrological and biogeochemical models related to water and carbon cycle, desertification risk, etc. The measurement of LAI in the field is a laborious and costly process and is mainly done by indirect methods, such as hemispherical photographs that are processed by specialized software. For this reason there have been several attempts to estimate LAI with multispectral satellite images, using theoretical biomass development models, or empirical equations using vegetation indices and land cover maps. The aim of this work is to study the relation of MODIS EVI and LAI across time, vegetation type, and hydrological regime. This was achieved by studying 120 maps of EVI and LAI which cover a hydrological year and five hydrologically diverse areas: river Nestos in Greece, Queimados catchment in Brazil, Rijnland catchment in The Netherlands, river Tamega in Portugal, and river Umbeluzi in Mozambique. The following Terra MODIS composite datasets were downloaded for the hydrological year 2012-2013: MOD13A2 "Vegetation Indices" and MCD15A2 "LAI and FPAR", as well as the equivalent quality information layers (QA). All the pixels that fall in a vegetation land cover (according to the MERIS GLOBCOVER map) were sampled for the analysis, with the exception of those that fell at the border between two vegetation or other land cover categories, to avoid the influence of mixed pixels. Using linear regression analysis, the relationship between EVI and LAI was identified per date, vegetation type and study area. Results show that vegetation type has the highest influence in the variation of the relationship between EVI and LAI in each study area. The coefficient of determination (R2) is high and statistically significant (ranging from 0.41 to 0.83 in 90% of the cases). When plotting the EVI factor from the regression equation

  4. LAI-2000 Accuracy, Precision, and Application to Visual Estimation of Leaf Area Index of Loblolly Pine

    Treesearch

    Jason A. Gatch; Timothy B. Harrington; James P. Castleberry

    2002-01-01

    Leaf area index (LAI) is an important parameter of forest stand productivity that has been used to diagnose stand vigor and potential fertilizer response of southern pines. The LAI-2000 was tested for its ability to provide accurate and precise estimates of LAI of loblolly pine (Pinus taeda L.). To test instrument accuracy, regression was used to...

  5. Estimation of Spatial Trends in LAI in Heterogeneous Semi-arid Ecosystems using Full Waveform Lidar

    NASA Astrophysics Data System (ADS)

    Glenn, N. F.; Ilangakoon, N.; Spaete, L.; Dashti, H.

    2017-12-01

    Leaf area index (LAI) is a key structural trait that is defined by the plant functional type (PFT) and controlled by prevailing climate- and human-driven ecosystem stresses. Estimates of LAI using remote sensing techniques are limited by the uncertainties of vegetation inter and intra-gap fraction estimates; this is especially the case in sparse, low stature vegetated ecosystems. Small footprint full waveform lidar digitizes the total amount of return energy with the direction information as a near continuous waveform at a high vertical resolution (1 ns). Thus waveform lidar provides additional data matrices to capture vegetation gaps as well as PFTs that can be used to constrain the uncertainties of LAI estimates. In this study, we calculated a radiometrically calibrated full waveform parameter called backscatter cross section, along with other data matrices from the waveform to estimate vegetation gaps across plots (10 m x 10 m) in a semi-arid ecosystem in the western US. The LAI was then estimated using empirical relationships with directional gap fraction. Full waveform-derived gap fraction based LAI showed a high correlation with field observed shrub LAI (R2 = 0.66, RMSE = 0.24) compared to discrete return lidar based LAI (R2 = 0.01, RMSE = 0.5). The data matrices derived from full waveform lidar classified a number of deciduous and evergreen tree species, shrub species, and bare ground with an overall accuracy of 89% at 10 m. A similar analysis was performed at 1m with overall accuracy of 80%. The next step is to use these relationships to map the PFTs LAI at 10 m spatial scale across the larger study regions. The results show the exciting potential of full waveform lidar to identify plant functional types and LAI in low-stature vegetation dominated semi-arid ecosystems, an ecosystem in which many other remote sensing techniques fail. These results can be used to assess ecosystem state, habitat suitability as well as to constrain model uncertainties in

  6. [Estimation of rice LAI by using NDVI at different spectral bandwidths].

    PubMed

    Wang, Fu-min; Huang, Jing-feng; Tang, Yan-lin; Wang, Xiu-zhen

    2007-11-01

    The canopy hyperspectral reflectance data of rice at its different development stages were collected from field measurement, and the corresponding NDVIs as well as the correlation coefficients of NDVIs and LAI were computed at extending bandwidth of TM red and near-infrared (NIR) spectra. According to the variation characteristics of best fitted R2 with spectral bandwidth, the optimal bandwidth was determined. The results showed that the correlation coefficients of LAI and ND-VI and the maximum R2 of the best fitted functions at different spectral bandwidths had the same variation trend, i.e., decreased with increasing bandwidth when the bandwidth was less than 60 nm. However, when the bandwidth was beyond 60 nm, the maximum R2 somewhat fluctuated due to the effect of NIR. The analysis of R2 variation with bandwidth indicated that 15 nm was the optimal bandwidth for the estimation of rice LAI by using NDVI.

  7. Validation and Temporal Analysis of Lai and Fapar Products Derived from Medium Resolution Sensor

    NASA Astrophysics Data System (ADS)

    Claverie, M.; Vermote, E. F.; Baret, F.; Weiss, M.; Hagolle, O.; Demarez, V.

    2012-12-01

    Leaf Area Index (LAI) and Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) have been defined as Essential Climate Variables. Many Earth surface monitoring applications are based on global estimation combined with a relatively high frequency. The medium spatial resolution sensors (MRS), such as SPOT-VGT, MODIS or MERIS, have been widely used to provide land surface products (mainly LAI and FAPAR) to the scientific community. These products require quality assessment and consistency. However, due to consistency of the ground measurements spatial sampling, the medium resolution is not appropriate for direct validation with in situ measurements sampling. It is thus more adequate to use high spatial resolution sensors which can integrate the spatial variability. The recent availability of combined high spatial (8 m) and temporal resolutions (daily) Formosat-2 data allows to evaluate the accuracy and the temporal consistency of medium resolution sensors products. In this study, we proposed to validate MRS products over a cropland area and to analyze their spatial and temporal consistency. As a matter of fact, this study belongs to the Stage 2 of the validation, as defined by the Land Product Validation sub-group of the Earth Observation Satellites. Reference maps, derived from the aggregation of Formosat-2 data (acquired during the 2006-2010 period over croplands in southwest of France), were compared with (i) two existing global biophysical variables products (GEOV1/VGT and MODIS-15 coll. 5), and (ii) a new product (MODdaily) derived from the inversion of PROSAIL radiative transfer model (EMMAH, INRA Avignon) applied on MODIS BRDF-corrected daily reflectance. Their uncertainty was calculated with 105 LAI and FAPAR reference maps, which uncertainties (22 % for LAI and 12% for FAPAR) were evaluated with in situ measurements performed over maize, sunflower and soybean. Inter-comparison of coarse resolution (0.05°) products showed that LAI and FAPAR have

  8. Evaluating the potential of vegetation indices for winter wheat LAI estimation under different fertilization and water conditions

    NASA Astrophysics Data System (ADS)

    Xie, Qiaoyun; Huang, Wenjiang; Dash, Jadunandan; Song, Xiaoyu; Huang, Linsheng; Zhao, Jinling; Wang, Renhong

    2015-12-01

    Leaf area index (LAI) is an important indicator for monitoring crop growth conditions and forecasting grain yield. Many algorithms have been developed for remote estimation of the leaf area index of vegetation, such as using spectral vegetation indices, inversion of radiative transfer models, and supervised learning techniques. Spectral vegetation indices, mathematical combination of reflectance bands, are widely used for LAI estimation due to their computational simplicity and their applications ranged from the leaf scale to the entire globe. However, in many cases, their applicability is limited to specific vegetation types or local conditions due to species specific nature of the relationship used to transfer the vegetation indices to LAI. The overall objective of this study is to investigate the most suitable vegetation index for estimating winter wheat LAI under eight different types of fertilizer and irrigation conditions. Regression models were used to estimate LAI using hyperspectral reflectance data from the Pushbroom Hyperspectral Imager (PHI) and in-situ measurements. Our results showed that, among six vegetation indices investigated, the modified soil-adjusted vegetation index (MSAVI) and the normalized difference vegetation index (NDVI) exhibited strong and significant relationships with LAI, and thus were sensitive across different nitrogen and water treatments. The modified triangular vegetation index (MTVI2) confirmed its potential on crop LAI estimation, although second to MSAVI and NDVI in our study. The enhanced vegetation index (EVI) showed moderate performance. However, the ratio vegetation index (RVI) and the modified simple ratio index (MSR) predicted the least accurate estimations of LAI, exposing the simple band ratio index's weakness under different treatment conditions. The results support the use of vegetation indices for a quick and effective LAI mapping procedure that is suitable for winter wheat under different management practices.

  9. Spatial Upscaling of Long-term In Situ LAI Measurements from Global Network Sites for Validation of Remotely Sensed Products

    NASA Astrophysics Data System (ADS)

    Xu, B.; Jing, L.; Qinhuo, L.; Zeng, Y.; Yin, G.; Fan, W.; Zhao, J.

    2015-12-01

    Leaf area index (LAI) is a key parameter in terrestrial ecosystem models, and a series of global LAI products have been derived from satellite data. To effectively apply these LAI products, it is necessary to evaluate their accuracy reasonablely. The long-term LAI measurements from the global network sites are an important supplement to the product validation dataset. However, the spatial scale mismatch between the site measurement and the pixel grid hinders the utilization of these measurements in LAI product validation. In this study, a pragmatic approach based on the Bayesian linear regression between long-term LAI measurements and high-resolution images is presented for upscaling the point-scale measurements to the pixel-scale. The algorithm was evaluated using high-resolution LAI reference maps provided by the VALERI project at the Järvselja site and was implemented to upscale the long-term LAI measurements at the global network sites. Results indicate that the spatial scaling algorithm can reduce the root mean square error (RMSE) from 0.42 before upscaling to 0.21 after upscaling compared with the aggregated LAI reference maps at the pixel-scale. Meanwhile, the algorithm shows better reliability and robustness than the ordinary least square (OLS) method for upscaling some LAI measurements acquired at specific dates without high-resolution images. The upscaled LAI measurements were employed to validate three global LAI products, including MODIS, GLASS and GEOV1. Results indicate that (i) GLASS and GEOV1 show consistent temporal profiles over most sites, while MODIS exhibits temporal instability over a few forest sites. The RMSE of seasonality between products and upscaled LAI measurement is 0.25-1.72 for MODIS, 0.17-1.29 for GLASS and 0.36-1.35 for GEOV1 along with different sites. (ii) The uncertainty for products varies over different months. The lowest and highest uncertainty for MODIS are 0.67 in March and 1.53 in August, for GLASS are 0.67 in November

  10. Spatial and seasonal variations of leaf area index (LAI) in subtropical secondary forests related to floristic composition and stand characters

    NASA Astrophysics Data System (ADS)

    Zhu, Wenjuan; Xiang, Wenhua; Pan, Qiong; Zeng, Yelin; Ouyang, Shuai; Lei, Pifeng; Deng, Xiangwen; Fang, Xi; Peng, Changhui

    2016-07-01

    Leaf area index (LAI) is an important parameter related to carbon, water, and energy exchange between canopy and atmosphere and is widely applied in process models that simulate production and hydrological cycles in forest ecosystems. However, fine-scale spatial heterogeneity of LAI and its controlling factors have yet to be fully understood in Chinese subtropical forests. We used hemispherical photography to measure LAI values in three subtropical forests (Pinus massoniana-Lithocarpus glaber coniferous and evergreen broadleaved mixed forests, Choerospondias axillaris deciduous broadleaved forests, and L. glaber-Cyclobalanopsis glauca evergreen broadleaved forests) from April 2014 to January 2015. Spatial heterogeneity of LAI and its controlling factors were analysed using geostatistical methods and the generalised additive models (GAMs) respectively. Our results showed that LAI values differed greatly in the three forests and their seasonal variations were consistent with plant phenology. LAI values exhibited strong spatial autocorrelation for the three forests measured in January and for the L. glaber-C. glauca forest in April, July, and October. Obvious patch distribution pattern of LAI values occurred in three forests during the non-growing period and this pattern gradually dwindled in the growing season. Stem number, crown coverage, proportion of evergreen conifer species on basal area basis, proportion of deciduous species on basal area basis, and forest types affected the spatial variations in LAI values in January, while stem number and proportion of deciduous species on basal area basis affected the spatial variations in LAI values in July. Floristic composition, spatial heterogeneity, and seasonal variations should be considered for sampling strategy in indirect LAI measurement and application of LAI to simulate functional processes in subtropical forests.

  11. 75 FR 8081 - Patrick J. Lais: Debarment Order

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-02-23

    ..., among other things, subpotent burn spray, aspirin that had failed dissolution testing, and antacid... as ``Uncoated Aspirin.'' This drug failed its final dissolution testing. Neither Mr. Lais nor the... coated the failed aspirin and renumbered the lot. Part of this lot then was packaged as ``Coated Aspirin...

  12. Development of a global LAI estimation algorithm for JAXA's new earth observation satellite sensor, GCOM-C/SGLI

    NASA Astrophysics Data System (ADS)

    Ono, Y.; Murakami, H.; Kobayashi, H.; Nasahara, K. N.; Kajiwara, K.; Honda, Y.

    2014-12-01

    Leaf Area Index (LAI) is defined as the one-side green leaf area per unit ground surface area. Global LAI products, such as MOD15 (Terra&Aqua/MODIS) and CYCLOPES (SPOT/VEGETATION) are used for many global terrestrial carbon models. Japan Aerospace eXploration Agency (JAXA) is planning to launch GCOM-C (Global Change Observation Mission-Climate) which carries SGLI (Second-generation GLobal Imager) in the Japanese Fiscal Year 2017. SGLI has the features, such as 17-channel from near ultraviolet to thermal infrared, 250-m spatial resolution, polarization, and multi-angle (nadir and ±45-deg. along-track slant) observation. In the GCOM-C/SGLI land science team, LAI is scheduled to be generated from GCOM-C/SGLI observation data as a standard product (daily 250-m). In extisting algorithms, LAI is estimated by the reverse analysis of vegetation radiative transfer models (RTMs) using multi-spectral and mono-angle observation data. Here, understory layer in vegetation RTMs is assumed by plane parallel (green leaves + soil) which set up arbitrary understroy LAI. However, actual understory consists of various elements, such as green leaves, dead leaves, branches, soil, and snow. Therefore, if understory in vegetation RTMs differs from reality, it will cause an error of LAI to estimate. This report describes an algorithm which estimates LAI in consideration of the influence of understory using GCOM-C/SGLI multi-spectral and multi-angle observation data.

  13. Application and Evaluation of MODIS LAI, fPAR, and Albedo Products in the WRFCMAQ System

    EPA Science Inventory

    Leaf area index (LAI), vegetation fraction (VF), and surface albedo are important parameters in the land surface model (LSM) for meteorology and air quality modeling systems such as WRF/CMAQ. LAI and VF control not only leaf to canopy level evapotranspiration flux scaling but al...

  14. The Importance of Measurement Errors for Deriving Accurate Reference Leaf Area Index Maps for Validation of Moderate-Resolution Satellite LAI Products

    NASA Technical Reports Server (NTRS)

    Huang, Dong; Yang, Wenze; Tan, Bin; Rautiainen, Miina; Zhang, Ping; Hu, Jiannan; Shabanov, Nikolay V.; Linder, Sune; Knyazikhin, Yuri; Myneni, Ranga B.

    2006-01-01

    The validation of moderate-resolution satellite leaf area index (LAI) products such as those operationally generated from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor data requires reference LAI maps developed from field LAI measurements and fine-resolution satellite data. Errors in field measurements and satellite data determine the accuracy of the reference LAI maps. This paper describes a method by which reference maps of known accuracy can be generated with knowledge of errors in fine-resolution satellite data. The method is demonstrated with data from an international field campaign in a boreal coniferous forest in northern Sweden, and Enhanced Thematic Mapper Plus images. The reference LAI map thus generated is used to assess modifications to the MODIS LAI/fPAR algorithm recently implemented to derive the next generation of the MODIS LAI/fPAR product for this important biome type.

  15. Comparing LAI estimates of corn and soybean from vegetation indices of multi-resolution satellite images

    USDA-ARS?s Scientific Manuscript database

    Leaf area index (LAI) is important in explaining the ability of the crop to intercept solar energy for biomass production and in understanding the impact of crop management practices. This paper describes a procedure for estimating LAI as a function of image-derived vegetation indices from temporal ...

  16. LAI inversion from optical reflectance using a neural network trained with a multiple scattering model

    NASA Technical Reports Server (NTRS)

    Smith, James A.

    1992-01-01

    The inversion of the leaf area index (LAI) canopy parameter from optical spectral reflectance measurements is obtained using a backpropagation artificial neural network trained using input-output pairs generated by a multiple scattering reflectance model. The problem of LAI estimation over sparse canopies (LAI < 1.0) with varying soil reflectance backgrounds is particularly difficult. Standard multiple regression methods applied to canopies within a single homogeneous soil type yield good results but perform unacceptably when applied across soil boundaries, resulting in absolute percentage errors of >1000 percent for low LAI. Minimization methods applied to merit functions constructed from differences between measured reflectances and predicted reflectances using multiple-scattering models are unacceptably sensitive to a good initial guess for the desired parameter. In contrast, the neural network reported generally yields absolute percentage errors of <30 percent when weighting coefficients trained on one soil type were applied to predicted canopy reflectance at a different soil background.

  17. BOREAS RSS-7 Landsat TM LAI IMages of the SSA and NSA

    NASA Technical Reports Server (NTRS)

    Hall, Forrest G. (Editor); Nickeson, Jaime (Editor); Chen, Jing; Cihlar, Josef

    2000-01-01

    The BOReal Ecosystem-Atmosphere Study Remote Sensing Science (BOREAS RSS-7) team used Landsat Thematic Mapper (TM) images processed at CCRS to produce images of Leaf Area Index (LAI) for the BOREAS study areas. Two images acquired on 06-Jun and 09-Aug-1991 were used for the SSA, and one image acquired on 09-Jun-1994 was used for the NSA. The LAI images are based on ground measurements and Landsat TM Reduced Simple Ratio (RSR) images. The data are stored in binary image-format files.

  18. A LAI inversion algorithm based on the unified model of canopy bidirectional reflectance distribution function for the Heihe River Basin

    NASA Astrophysics Data System (ADS)

    Ma, B.; Li, J.; Fan, W.; Ren, H.; Xu, X.

    2017-12-01

    Leaf area index (LAI) is one of the important parameters of vegetation canopy structure, which can represent the growth condition of vegetation effectively. The accuracy, availability and timeliness of LAI data can be improved greatly, which is of great importance to vegetation-related research, such as the study of atmospheric, land surface and hydrological processes to obtain LAI by remote sensing method. Heihe River Basin is the inland river basin in northwest China. There are various types of vegetation and all kinds of terrain conditions in the basin, so it is helpful for testing the accuracy of the model under the complex surface and evaluating the correctness of the model to study LAI in this area. On the other hand, located in west arid area of China, the ecological environment of Heihe Basin is fragile, LAI is an important parameter to represent the vegetation growth condition, and can help us understand the status of vegetation in the Heihe River Basin. Different from the previous LAI inversion models, the BRDF (bidirectional reflectance distribution function) unified model can be applied for both continuous vegetation and discrete vegetation, it is appropriate to the complex vegetation distribution. LAI is the key input parameter of the model. We establish the inversion algorithm that can exactly retrieve LAI using remote sensing image based on the unified model. First, we determine the vegetation type through the vegetation classification map to obtain the corresponding G function, leaf and surface reflectivity. Then, we need to determine the leaf area index (LAI), the aggregation index (ζ) and the sky scattered light ratio (β) range and the value of the interval, entering all the parameters into the model to calculate the corresponding reflectivity ρ and establish the lookup table of different vegetation. Finally, we can invert LAI on the basis of the established lookup table. The principle of inversion is least squares method. We have produced 1 km

  19. Intercomparison and validation of MODIS and GLASS leaf area index (LAI) products over mountain areas: A case study in southwestern China

    NASA Astrophysics Data System (ADS)

    Jin, Huaan; Li, Ainong; Bian, Jinhu; Nan, Xi; Zhao, Wei; Zhang, Zhengjian; Yin, Gaofei

    2017-03-01

    The validation study of leaf area index (LAI) products over rugged surfaces not only gives additional insights into data quality of LAI products, but deepens understanding of uncertainties regarding land surface process models depended on LAI data over complex terrain. This study evaluated the performance of MODIS and GLASS LAI products using the intercomparison and direct validation methods over southwestern China. The spatio-temporal consistencies, such as the spatial distributions of LAI products and their statistical relationship as a function of topographic indices, time, and vegetation types, respectively, were investigated through intercomparison between MODIS and GLASS products during the period 2011-2013. The accuracies and change ranges of these two products were evaluated against available LAI reference maps over 10 sampling regions which standed for typical vegetation types and topographic gradients in southwestern China. The results show that GLASS LAI exhibits higher percentage of good quality data (i.e. successful retrievals) and smoother temporal profiles than MODIS LAI. The percentage of successful retrievals for MODIS and GLASS is vulnerable to topographic indices, especially to relief amplitude. Besides, the two products do not capture seasonal dynamics of crop, especially in spring over heterogeneously hilly regions. The yearly mean LAI differences between MODIS and GLASS are within ±0.5 for 64.70% of the total retrieval pixels over southwestern China. The spatial distribution of mean differences and temporal profiles of these two products are inclined to be dominated by vegetation types other than topographic indices. The spatial and temporal consistency of these two products is good over most area of grasses/cereal crops; however, it is poor for evergreen broadleaf forest. MODIS presents more reliable change range of LAI than GLASS through comparison with fine resolution reference maps over most of sampling regions. The accuracies of direct

  20. A methodology to estimate representativeness of LAI station observation for validation: a case study with Chinese Ecosystem Research Network (CERN) in situ data

    NASA Astrophysics Data System (ADS)

    Xu, Baodong; Li, Jing; Liu, Qinhuo; Zeng, Yelu; Yin, Gaofei

    2014-11-01

    Leaf Area Index (LAI) is known as a key vegetation biophysical variable. To effectively use remote sensing LAI products in various disciplines, it is critical to understand the accuracy of them. The common method for the validation of LAI products is firstly establish the empirical relationship between the field data and high-resolution imagery, to derive LAI maps, then aggregate high-resolution LAI maps to match moderate-resolution LAI products. This method is just suited for the small region, and its frequencies of measurement are limited. Therefore, the continuous observing LAI datasets from ground station network are important for the validation of multi-temporal LAI products. However, due to the scale mismatch between the point observation in the ground station and the pixel observation, the direct comparison will bring the scale error. Thus it is needed to evaluate the representativeness of ground station measurement within pixel scale of products for the reasonable validation. In this paper, a case study with Chinese Ecosystem Research Network (CERN) in situ data was taken to introduce a methodology to estimate representativeness of LAI station observation for validating LAI products. We first analyzed the indicators to evaluate the observation representativeness, and then graded the station measurement data. Finally, the LAI measurement data which can represent the pixel scale was used to validate the MODIS, GLASS and GEOV1 LAI products. The result shows that the best agreement is reached between the GLASS and GEOV1, while the lowest uncertainty is achieved by GEOV1 followed by GLASS and MODIS. We conclude that the ground station measurement data can validate multi-temporal LAI products objectively based on the evaluation indicators of station observation representativeness, which can also improve the reliability for the validation of remote sensing products.

  1. [Simulating of carbon fluxes in bamboo forest ecosystem using BEPS model based on the LAI assimilated with Dual Ensemble Kalman Filter].

    PubMed

    Li, Xue Jian; Mao, Fang Jie; Du, Hua Qiang; Zhou, Guo Mo; Xu, Xiao Jun; Li, Ping Heng; Liu, Yu Li; Cui, Lu

    2016-12-01

    LAI is one of the most important observation data in the research of carbon cycle of forest ecosystem, and it is also an important parameter to drive process-based ecosystem model. The Moso bamboo forest (MBF) and Lei bamboo forest (LBF) were selected as the study targets. Firstly, the MODIS LAI time series data during 2014-2015 was assimilated with Dual Ensemble Kalman Filter method. Secondly, the high quality assimilated MBF LAI and LBF LAI were used as input dataset to drive BEPS model for simulating the gross primary productivity (GPP), net ecosystem exchange (NEE) and total ecosystem respiration (TER) of the two types of bamboo forest ecosystem, respectively. The modeled carbon fluxes were evaluated by the observed carbon fluxes data, and the effects of different quality LAI inputs on carbon cycle simulation were also studied. The LAI assimilated using Dual Ensemble Kalman Filter of MBF and LBF were significantly correlated with the observed LAI, with high R 2 of 0.81 and 0.91 respectively, and lower RMSE and absolute bias, which represented the great improvement of the accuracy of MODIS LAI products. With the driving of assimilated LAI, the modeled GPP, NEE, and TER were also highly correlated with the flux observation data, with the R 2 of 0.66, 0.47, and 0.64 for MBF, respectively, and 0.66, 0.45, and 0.73 for LBF, respectively. The accuracy of carbon fluxes modeled with assimilated LAI was higher than that acquired by the locally adjusted cubic-spline capping method, in which, the accuracy of mo-deled NEE for MBF and LBF increased by 11.2% and 11.8% at the most degrees, respectively.

  2. A 30+ Year AVHRR LAI and FAPAR Climate Data Record: Algorithm Description, Validation, and Case Study

    NASA Technical Reports Server (NTRS)

    Claverie, Martin; Matthews, Jessica L.; Vermote, Eric F.; Justice, Christopher O.

    2016-01-01

    In- land surface models, which are used to evaluate the role of vegetation in the context ofglobal climate change and variability, LAI and FAPAR play a key role, specifically with respect to thecarbon and water cycles. The AVHRR-based LAIFAPAR dataset offers daily temporal resolution,an improvement over previous products. This climate data record is based on a carefully calibratedand corrected land surface reflectance dataset to provide a high-quality, consistent time-series suitablefor climate studies. It spans from mid-1981 to the present. Further, this operational dataset is availablein near real-time allowing use for monitoring purposes. The algorithm relies on artificial neuralnetworks calibrated using the MODIS LAI/FAPAR dataset. Evaluation based on cross-comparisonwith MODIS products and in situ data show the dataset is consistent and reliable with overalluncertainties of 1.03 and 0.15 for LAI and FAPAR, respectively. However, a clear saturation effect isobserved in the broadleaf forest biomes with high LAI (greater than 4.5) and FAPAR (greater than 0.8) values.

  3. A Study toward the Evaluation of ALOS Images for LAI Estimation in Rice Fields

    NASA Astrophysics Data System (ADS)

    Sharifi Hashjin, Sh.; Darvishzadeh, R.; Khandan, R.

    2013-10-01

    For expanding and managing agricultural sources, satellite data have a key role in determining required information about different factors in plants Including Leaf Area Index (LAI).This paper has studied the potential of spectral indices in estimating rice canopy LAI in Amol city as one of the main sources of rice production in Iran. Due to its importance in provision of food and calorie of a major portion of population, rice product was chosen for study. A field campaign was conducted when rice was in the max growth stage (late of June). Also, two satellite images from ALOS-AVNIR-2 were used (simultaneous with conducted field works) to extract and determine vegetation indices. Then the Regression between measured data and vegetation indices, derived from combination of different bands, was evaluated and after that suitable vegetation indices were realized. Finally, statistics and calculations for introduction of a suitable model were presented. After examination of models, the results showed that RDVI and SAVI2, by determination coefficient and RMSE of 0.12-0.59 and 0.24-0.62, have more accuracy in LAI estimation. Results of present study demonstrated the potential of ALOS images, for LAI estimation and their significant role in monitoring and managing the rice plant.

  4. The Effectiveness of Predict-Observe-Explain Technique in Probing Students' Understanding about Acid-Base Chemistry: A Case for the Concepts of pH, pOH, and Strength

    ERIC Educational Resources Information Center

    Kala, Nesli; Yaman, Fatma; Ayas, Alipasa

    2013-01-01

    The present study describes high school students' conceptions about acids and bases in terms of pH, pOH, microscopic level, strength, and concentration. A total of 27 high school students participated in the study. The data was collected using 3 POE tasks and a semi-structured interview. The data analysis demonstrated that most of the students had…

  5. Digital Cover Photography for Estimating Leaf Area Index (LAI) in Apple Trees Using a Variable Light Extinction Coefficient

    PubMed Central

    Poblete-Echeverría, Carlos; Fuentes, Sigfredo; Ortega-Farias, Samuel; Gonzalez-Talice, Jaime; Yuri, Jose Antonio

    2015-01-01

    Leaf area index (LAI) is one of the key biophysical variables required for crop modeling. Direct LAI measurements are time consuming and difficult to obtain for experimental and commercial fruit orchards. Devices used to estimate LAI have shown considerable errors when compared to ground-truth or destructive measurements, requiring tedious site-specific calibrations. The objective of this study was to test the performance of a modified digital cover photography method to estimate LAI in apple trees using conventional digital photography and instantaneous measurements of incident radiation (Io) and transmitted radiation (I) through the canopy. Leaf area of 40 single apple trees were measured destructively to obtain real leaf area index (LAID), which was compared with LAI estimated by the proposed digital photography method (LAIM). Results showed that the LAIM was able to estimate LAID with an error of 25% using a constant light extinction coefficient (k = 0.68). However, when k was estimated using an exponential function based on the fraction of foliage cover (ff) derived from images, the error was reduced to 18%. Furthermore, when measurements of light intercepted by the canopy (Ic) were used as a proxy value for k, the method presented an error of only 9%. These results have shown that by using a proxy k value, estimated by Ic, helped to increase accuracy of LAI estimates using digital cover images for apple trees with different canopy sizes and under field conditions. PMID:25635411

  6. Combined Use of Airborne Lidar and DBInSAR Data to Estimate LAI in Temperate Mixed Forests

    NASA Technical Reports Server (NTRS)

    Peduzzi, Alicia; Wynne, Randolph Hamilton; Thomas, Valerie A.; Nelson, Ross F.; Reis, James J.; Sanford, Mark

    2012-01-01

    The objective of this study was to determine whether leaf area index (LAI) in temperate mixed forests is best estimated using multiple-return airborne laser scanning (lidar) data or dual-band, single-pass interferometric synthetic aperture radar data (from GeoSAR) alone, or both in combination. In situ measurements of LAI were made using the LiCor LAI-2000 Plant Canopy Analyzer on 61 plots (21 hardwood, 36 pine, 4 mixed pine hardwood; stand age ranging from 12-164 years; mean height ranging from 0.4 to 41.2 m) in the Appomattox-Buckingham State Forest, Virginia, USA. Lidar distributional metrics were calculated for all returns and for ten one meter deep crown density slices (a new metric), five above and five below the mode of the vegetation returns for each plot. GeoSAR metrics were calculated from the X-band backscatter coefficients (four looks) as well as both X- and P-band interferometric heights and magnitudes for each plot. Lidar metrics alone explained 69% of the variability in LAI, while GeoSAR metrics alone explained 52%. However, combining the lidar and GeoSAR metrics increased the R2 to 0.77 with a CV-RMSE of 0.42. This study indicates the clear potential for X-band backscatter and interferometric height (both now available from spaceborne sensors), when combined with small-footprint lidar data, to improve LAI estimation in temperate mixed forests.

  7. [Professor LAI Xinsheng's experience of acupuncture combined with medication for epilepsy].

    PubMed

    Fang, Yajing; Wu, Peilong; Wang, Yumei; He, Kejie; Zhang, Sujuan; Lai, Xinsheng

    2018-04-12

    Professor LAI Xinsheng 's experience of acupuncture combined with medication for epilepsy is summarized, which is explained from epilepsy's etiology and pathogenesis, diagnosis and treatment of acupuncture and medication, respectively. Besides, the theoretical foundation and use instruction of acupuncture technique " tong - yuan " for epilepsy are introduced. Professor LAI highly values the adherence to etiology and pathogenesis, pays attention to syndrome differentiation and searches for the primary disease cause. He proposes the wind, phlegm, stasis and deficiency are the pathogenesis of epilepsy, and points out acupuncture could be applied during attack stage and remittent stage, but electroacupuncture should be used with caution. Regulating spirit is the key for treating epilepsy. The combination of acupuncture and medication could regulate the governor vessel and guide qi to the origin, which have significant curative effect.

  8. GEOLAND2 global LAI, FAPAR Essential Climate Variables for terrestrial carbon modeling: principles and validation

    NASA Astrophysics Data System (ADS)

    Baret, F.; Weiss, M.; Lacaze, R.; Camacho, F.; Smets, B.; Pacholczyk, P.; Makhmara, H.

    2010-12-01

    LAI and fAPAR are recognized as Essential Climate Variables providing key information for the understanding and modeling of canopy functioning. Global remote sensing observations at medium resolution are routinely acquired since the 80’s mainly with AVHRR, SEAWIFS, VEGETATION, MODIS and MERIS sensors. Several operational products have been derived and provide global maps of LAI and fAPAR at daily to monthly time steps. Inter-comparison between MODIS, CYCLOPES, GLOBCARBON and JRC-FAPAR products showed generally consistent seasonality, while large differences in magnitude and smoothness may be observed. One of the objectives of the GEOLAND2 European project is to develop such core products to be used in a range of application services including the carbon monitoring. Rather than generating an additional product from scratch, the version 1 of GEOLAND2 products was capitalizing on the existing products by combining them to retain their pros and limit their cons. For these reasons, MODIS and CYCLOPES products were selected since they both include LAI and fAPAR while having relatively close temporal sampling intervals (8 to 10 days). GLOBCARBON products were not used here because of the too long monthly time step inducing large uncertainties in the seasonality description. JRC-FAPAR was not selected as well to preserve better consistency between LAI and fAPAR products. MODIS and CYCLOPES products were then linearly combined to take advantage of the good performances of CYCLOPES products for low to medium values of LAI and fAPAR while benefiting from the better MODIS performances for the highest LAI values. A training database representative of the global variability of vegetation type and conditions was thus built. A back-propagation neural network was then calibrated to estimate the new LAI and fAPAR products from VEGETATION preprocessed observations. Similarly, the vegetation cover fraction (fCover) was also derived by scaling the original CYCLOPES fCover products

  9. Suicide Prevention in Schizophrenia: Do Long-Acting Injectable Antipsychotics (LAIs) have a Role?

    PubMed

    Pompili, Maurizio; Orsolini, Laura; Lamis, Dorian A; Goldsmith, David R; Nardella, Adele; Falcone, Giulia; Corigliano, Valentina; Luciano, Mario; Fiorillo, Andrea

    2017-01-01

    Suicide risk is a major cause of death among patients with schizophrenia. Death by suicide has been reported in approximately 5% of schizophrenia patients although this figure appears to be an underestimate of the problem. A number of risk factors are routinely reported as associated with suicide risk among these patients, some of which are modifiable by targeted therapeutic strategies. Clozapine is the only compound that gathered evidence as an effective treatment for reducing suicide risk in schizophrenia. Long-Acting Injectable Antipsychotics (LAIs) have a range of advantages in terms of efficacy, safety and tolerability in the treatment of schizophrenia, and one area of interest is whether LAI-treatment may decrease suicidality by indirectly acting on a range of risk factors for suicide specific to schizophrenia patients. This background encouraged the present review of research pertaining to LAIs in relation to modifiable risk factors for suicide in schizophrenia. We viewed our task as gathering, speculating and critically appraising the available research relevant to the topic, with the aim of formulating a hypothesis to be tested with further research. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.

  10. Estimating gross primary productivity of a tropical forest ecosystem over north-east India using LAI and meteorological variables

    NASA Astrophysics Data System (ADS)

    Deb Burman, Pramit Kumar; Sarma, Dipankar; Williams, Mathew; Karipot, Anandakumar; Chakraborty, Supriyo

    2017-10-01

    Tropical forests act as a major sink of atmospheric carbon dioxide, and store large amounts of carbon in biomass. India is a tropical country with regions of dense vegetation and high biodiversity. However due to the paucity of observations, the carbon sequestration potential of these forests could not be assessed in detail so far. To address this gap, several flux towers were erected over different ecosystems in India by Indian Institute of Tropical Meteorology as part of the MetFlux India project funded by MoES (Ministry of Earth Sciences, Government of India). A 50 m tall tower was set up over a semi-evergreen moist deciduous forest named Kaziranga National Park in north-eastern part of India which houses a significant stretch of local forest cover. Climatically this region is identified to be humid sub-tropical. Here we report first generation of the in situ meteorological observations and leaf area index (LAI) measurements from this site. LAI obtained from NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) is compared with the in situ measured LAI. We use these in situ measurements to calculate the total gross photosynthesis (or gross primary productivity, GPP) of the forest using a calibrated model. LAI and GPP show prominent seasonal variation. LAI ranges between 0.75 in winter to 3.25 in summer. Annual GPP is estimated to be 2.11 kg C m^{-2} year^{-1}.

  11. Extracellular proteome analysis of Leptospira interrogans serovar Lai.

    PubMed

    Zeng, Lingbing; Zhang, Yunyi; Zhu, Yongzhang; Yin, Haidi; Zhuang, Xuran; Zhu, Weinan; Guo, Xiaokui; Qin, Jinhong

    2013-10-01

    Abstract Leptospirosis is one of the most important zoonoses. Leptospira interrogans serovar Lai is a pathogenic spirochete that is responsible for leptospirosis. Extracellular proteins play an important role in the pathogenicity of this bacterium. In this study, L. interrogans serovar Lai was grown in protein-free medium; the supernatant was collected and subsequently analyzed as the extracellular proteome. A total of 66 proteins with more than two unique peptides were detected by MS/MS, and 33 of these were predicted to be extracellular proteins by a combination of bioinformatics analyses, including Psortb, cello, SoSuiGramN and SignalP. Comparisons of the transcriptional levels of these 33 genes between in vivo and in vitro conditions revealed that 15 genes were upregulated and two genes were downregulated in vivo compared to in vitro. A BLAST search for the components of secretion system at the genomic and proteomic levels revealed the presence of the complete type I secretion system and type II secretion system in this strain. Moreover, this strain also exhibits complete Sec translocase and Tat translocase systems. The extracellular proteome analysis of L. interrogans will supplement the previously generated whole proteome data and provide more information for studying the functions of specific proteins in the infection process and for selecting candidate molecules for vaccines or diagnostic tools for leptospirosis.

  12. Temporal Stability of the NDVI-LAI Relationship in a Napa Valley Vineyard

    NASA Technical Reports Server (NTRS)

    Johnson, L. F.

    2003-01-01

    Remotely sensed normalized difference vegetation index (NDVI) values, derived from high-resolution satellite images, were compared with ground measurements of vineyard leaf area index (LAI) periodically during the 2001 growing season. The two variables were strongly related at six ground calibration sites on each of four occasions (r squared = 0.91 to 0.98). Linear regression equations relating the two variables did not significantly differ by observation date, and a single equation accounted for 92 percent of the variance in the combined dataset. Temporal stability of the relationship opens the possibility of transforming NDVI maps to LAI in the absence of repeated ground calibration fieldwork. In order to take advantage of this circumstance, however, steps should be taken to assure temporal consistency in spectral data values comprising the NDVI.

  13. EPIC-Simulated and MODIS-Derived Leaf Area Index (LAI) Comparisons Across mMltiple Spatial Scales RSAD Oral Poster based session

    EPA Science Inventory

    Leaf Area Index (LAI) is an important parameter in assessing vegetation structure for characterizing forest canopies over large areas at broad spatial scales using satellite remote sensing data. However, satellite-derived LAI products can be limited by obstructed atmospheric cond...

  14. Daily mapping of Landsat-like LAI and correlation to grape yield

    USDA-ARS?s Scientific Manuscript database

    Wine grape quality and quantity are affected by vine growing condition during some critical growing stages. In this paper, MODIS and Landsat were used to map daily LAI in the two Grape Remote sensing Atmospheric Profiling and Evapotranspiration eXperiment (GRAPEX) experiment fields near Lodi, Califo...

  15. Leaf Area Index (LAI) in different type of agroforestry systems based on hemispherical photographs in Cidanau Watershed

    NASA Astrophysics Data System (ADS)

    Nur Khairiah, Rahmi; Setiawan, Yudi; Budi Prasetyo, Lilik; Ayu Permatasari, Prita

    2017-01-01

    Ecological functions of agroforestry systems have perceived benefit to people around Cidanau Watershed, especially in the protection of water quality. The main causes of the problems encountered in the Cidanau Watershed are associated with the human factors, especially encroachment and conversion of forest into farmland. The encroachment has made most forest in Cidanau Watershed become bare land. To preserve the ecological function of agroforestry systems in Cidanau Watershed, monitoring of the condition of the vegetation canopy in agroforestry systems is really needed. High intensity thinning of crown density due to deforestation can change stand leaf area index dramatically. By knowing LAI, we can assess the condition of the vegetation canopy in agroforestry systems. LAI in this research was obtained from Hemispherical Photographs analysis using the threshold method in HemiView Canopy Analysis Software. Our research results indicate that there are six types of agroforestry in Cidanau Watershed i.e. Sengon Agroforestry, Clove Agroforestry, Melinjo Agroforestry, Chocolate Agroforestry, Coffee Agroforestry, and Complex Agroforestry. Several factors potentially contribute to variations in the value of LAI in different types of agroforestry. The simple assumptions about differences ranges of LAI values on six types of agroforestry is closely related to leaf area and plant population density.

  16. BOREAS RSS-7 Regional LAI and FPAR Images From 10-Day AVHRR-LAC Composites

    NASA Technical Reports Server (NTRS)

    Hall, Forrest G. (Editor); Nickeson, Jaime (Editor); Chen, Jing; Cihlar, Josef

    2000-01-01

    The BOReal Ecosystem-Atmosphere Study Remote Sensing Science (BOREAS RSS-7) team collected various data sets to develop and validate an algorithm to allow the retrieval of the spatial distribution of Leaf Area Index (LAI) from remotely sensed images. Advanced Very High Resolution Radiometer (AVHRR) level-4c 10-day composite Normalized Difference Vegetation Index (NDVI) images produced at CCRS were used to produce images of LAI and the Fraction of Photosynthetically Active Radiation (FPAR) absorbed by plant canopies for the three summer IFCs in 1994 across the BOREAS region. The algorithms were developed based on ground measurements and Landsat Thematic Mapper (TM) images. The data are stored in binary image format files.

  17. Spatial Heterogeneity of Leaf Area Index (LAI) and Its Temporal Course on Arable Land: Combining Field Measurements, Remote Sensing and Simulation in a Comprehensive Data Analysis Approach (CDAA).

    PubMed

    Reichenau, Tim G; Korres, Wolfgang; Montzka, Carsten; Fiener, Peter; Wilken, Florian; Stadler, Anja; Waldhoff, Guido; Schneider, Karl

    2016-01-01

    The ratio of leaf area to ground area (leaf area index, LAI) is an important state variable in ecosystem studies since it influences fluxes of matter and energy between the land surface and the atmosphere. As a basis for generating temporally continuous and spatially distributed datasets of LAI, the current study contributes an analysis of its spatial variability and spatial structure. Soil-vegetation-atmosphere fluxes of water, carbon and energy are nonlinearly related to LAI. Therefore, its spatial heterogeneity, i.e., the combination of spatial variability and structure, has an effect on simulations of these fluxes. To assess LAI spatial heterogeneity, we apply a Comprehensive Data Analysis Approach that combines data from remote sensing (5 m resolution) and simulation (150 m resolution) with field measurements and a detailed land use map. Test area is the arable land in the fertile loess plain of the Rur catchment on the Germany-Belgium-Netherlands border. LAI from remote sensing and simulation compares well with field measurements. Based on the simulation results, we describe characteristic crop-specific temporal patterns of LAI spatial variability. By means of these patterns, we explain the complex multimodal frequency distributions of LAI in the remote sensing data. In the test area, variability between agricultural fields is higher than within fields. Therefore, spatial resolutions less than the 5 m of the remote sensing scenes are sufficient to infer LAI spatial variability. Frequency distributions from the simulation agree better with the multimodal distributions from remote sensing than normal distributions do. The spatial structure of LAI in the test area is dominated by a short distance referring to field sizes. Longer distances that refer to soil and weather can only be derived from remote sensing data. Therefore, simulations alone are not sufficient to characterize LAI spatial structure. It can be concluded that a comprehensive picture of LAI spatial

  18. Spatial Heterogeneity of Leaf Area Index (LAI) and Its Temporal Course on Arable Land: Combining Field Measurements, Remote Sensing and Simulation in a Comprehensive Data Analysis Approach (CDAA)

    PubMed Central

    Korres, Wolfgang; Montzka, Carsten; Fiener, Peter; Wilken, Florian; Stadler, Anja; Waldhoff, Guido; Schneider, Karl

    2016-01-01

    The ratio of leaf area to ground area (leaf area index, LAI) is an important state variable in ecosystem studies since it influences fluxes of matter and energy between the land surface and the atmosphere. As a basis for generating temporally continuous and spatially distributed datasets of LAI, the current study contributes an analysis of its spatial variability and spatial structure. Soil-vegetation-atmosphere fluxes of water, carbon and energy are nonlinearly related to LAI. Therefore, its spatial heterogeneity, i.e., the combination of spatial variability and structure, has an effect on simulations of these fluxes. To assess LAI spatial heterogeneity, we apply a Comprehensive Data Analysis Approach that combines data from remote sensing (5 m resolution) and simulation (150 m resolution) with field measurements and a detailed land use map. Test area is the arable land in the fertile loess plain of the Rur catchment on the Germany-Belgium-Netherlands border. LAI from remote sensing and simulation compares well with field measurements. Based on the simulation results, we describe characteristic crop-specific temporal patterns of LAI spatial variability. By means of these patterns, we explain the complex multimodal frequency distributions of LAI in the remote sensing data. In the test area, variability between agricultural fields is higher than within fields. Therefore, spatial resolutions less than the 5 m of the remote sensing scenes are sufficient to infer LAI spatial variability. Frequency distributions from the simulation agree better with the multimodal distributions from remote sensing than normal distributions do. The spatial structure of LAI in the test area is dominated by a short distance referring to field sizes. Longer distances that refer to soil and weather can only be derived from remote sensing data. Therefore, simulations alone are not sufficient to characterize LAI spatial structure. It can be concluded that a comprehensive picture of LAI spatial

  19. Golden Girl: Mary Lai Reflects as She Marks Her 50th Anniversary.

    ERIC Educational Resources Information Center

    Iwanowski, Jay

    1996-01-01

    The career and administrative style of Mary M. Lai, who celebrates her 50th year as chief financial officer at Long Island University (New York), are discussed. Her perspectives on change in higher education and in the institution during that time, the administrator's role, current challenges for financial officers, and the college environment as…

  20. Retrieval of LAI and leaf chlorophyll content from remote sensing data by agronomy mechanism knowledge to solve the ill-posed inverse problem

    NASA Astrophysics Data System (ADS)

    Li, Zhenhai; Nie, Chenwei; Yang, Guijun; Xu, Xingang; Jin, Xiuliang; Gu, Xiaohe

    2014-10-01

    Leaf area index (LAI) and LCC, as the two most important crop growth variables, are major considerations in management decisions, agricultural planning and policy making. Estimation of canopy biophysical variables from remote sensing data was investigated using a radiative transfer model. However, the ill-posed problem is unavoidable for the unique solution of the inverse problem and the uncertainty of measurements and model assumptions. This study focused on the use of agronomy mechanism knowledge to restrict and remove the ill-posed inversion results. For this purpose, the inversion results obtained using the PROSAIL model alone (NAMK) and linked with agronomic mechanism knowledge (AMK) were compared. The results showed that AMK did not significantly improve the accuracy of LAI inversion. LAI was estimated with high accuracy, and there was no significant improvement after considering AMK. The validation results of the determination coefficient (R2) and the corresponding root mean square error (RMSE) between measured LAI and estimated LAI were 0.635 and 1.022 for NAMK, and 0.637 and 0.999 for AMK, respectively. LCC estimation was significantly improved with agronomy mechanism knowledge; the R2 and RMSE values were 0.377 and 14.495 μg cm-2 for NAMK, and 0.503 and 10.661 μg cm-2 for AMK, respectively. Results of the comparison demonstrated the need for agronomy mechanism knowledge in radiative transfer model inversion.

  1. LAI is the major cause of divergence in CO2 fertilization effect in land surface models

    NASA Astrophysics Data System (ADS)

    Li, Q.; Luo, Y.; Lu, X.; Wang, Y.; Huang, X.; Lin, G., Sr.

    2017-12-01

    Concentration-carbon feedback (β), also called CO2 fertilization effect, is an important feedback between terrestrial ecosystems and atmosphere to alleviate global climate change. However, models participating in C4MIP and CMIP5 predicted diverse CO2 fertilization effects under future CO2 inceasing scenarios. Hence identifing the key processes dominating the divergence of β in land surface models is of significance. We calculated CO2 fertilization effects from leaf level, canopy gross productivity level, net ecosystem productivity level and ecosystem carbon stock level in Community Atmosphere Biosphere Land Exchange (CABLE) model. Our results identified LAI is the key factor dominating the divergence of β among C3 plants in CABLE model. Saturation of the ecosystem productivity to increasing CO2 is not only regulated by leaf-level response, but also the response of LAI to increasing CO2. The greatest variation among C3 plants at ecosystem level suggests that other processes such as different allocation patterns and soil carbon dynamics of various vegetation types are also responsible for the divergence. Our results indicate that processes regarding to LAI need to be better calibrated according to experiments and observations in order to better represent the response of ecosystem productivity to increasing CO2.

  2. The Sentinel-2 MSI Can Increase the Temporal Resolution of 30m Satellite-Derived LAI Estimates

    NASA Astrophysics Data System (ADS)

    Dungan, J. L.; Li, S.; Ganguly, S.; Wang, W.; Nemani, R. R.; Ju, J.; Claverie, M.; Masek, J. G.

    2016-12-01

    The successful launch of the European Space Agency (ESA) Sentinel-2A (S2-A) on 23 June 2015 with its MultiSpectral Instrument (MSI) provides an important means to augment Earth-observation capabilities following the legacy of Landsat. After the three-month satellite commissioning campaign, the MSI onboard S-2A is performing very well (ESA, 2015). By 3 December 2015, the sensor data records have achieved provisional maturity status and have been accessed in level-1C Top-Of-Atmosphere (TOA) reflectance by the remote sensing community worldwide. Near-nadir observations by the MSI onboard S-2A and the Operational Land Imager (OLI) onboard Landsat 8 were collected during Simultaneous Nadir Overpasses as well as nearly coincident overpasses. This paper presents a processing chain using harmonized S-2A MSI and Landsat 8 OLI sensors to obtain increased temporal resolution in Leaf Area Index (LAI) estimates using the red-edge band B8A of MSI to replace the NIR band B08. Results demonstrate that LAI estimates from the MSI and OLI are comparable, and, given sufficient preprocessing for atmospheric correction and geometric rectification, can be used interchangeably to improve the frequency with which low LAI canopies can be monitored.

  3. Sources of Uncertainty in the Prediction of LAI / fPAR from MODIS

    NASA Technical Reports Server (NTRS)

    Dungan, Jennifer L.; Ganapol, Barry D.; Brass, James A. (Technical Monitor)

    2002-01-01

    To explicate the sources of uncertainty in the prediction of biophysical variables over space, consider the general equation: where z is a variable with values on some nominal, ordinal, interval or ratio scale; y is a vector of input variables; u is the spatial support of y and z ; x and u are the spatial locations of y and z , respectively; f is a model and B is the vector of the parameters of this model. Any y or z has a value and a spatial extent which is called its support. Viewed in this way, categories of uncertainty are from variable (e.g. measurement), parameter, positional. support and model (e.g. structural) sources. The prediction of Leaf Area Index (LAI) and the fraction of absorbed photosynthetically active radiation (fPAR) are examples of z variables predicted using model(s) as a function of y variables and spatially constant parameters. The MOD15 algorithm is an example of f, called f(sub 1), with parameters including those defined by one of six biome types and solar and view angles. The Leaf Canopy Model (LCM)2, a nested model that combines leaf radiative transfer with a full canopy reflectance model through the phase function, is a simpler though similar radiative transfer approach to f(sub 1). In a previous study, MOD15 and LCM2 gave similar results for the broadleaf forest biome. Differences between these two models can be used to consider the structural uncertainty in prediction results. In an effort to quantify each of the five sources of uncertainty and rank their relative importance for the LAI/fPAR prediction problem, we used recent data for an EOS Core Validation Site in the broadleaf biome with coincident surface reflectance, vegetation index, fPAR and LAI products from the Moderate Resolution Imaging Spectrometer (MODIS). Uncertainty due to support on the input reflectance variable was characterized using Landsat ETM+ data. Input uncertainties were propagated through the LCM2 model and compared with published uncertainties from the MOD15

  4. ASSESSMENT OF MODIS LAI (W4) IN LOBLOLLY PINE (P. TAEDA) FOREST TYPE, APPOMATTOX, VIRGINIA

    EPA Science Inventory

    The United States Environmental Protection Agency initiated MODIS MODI5A2LAI validation research (2002) in the evergreen needle leaf biome, as defined in the MOD12 classification, in a regional study located in the southeastern United States.

  5. LEAF AREA INDEX (LAI) CHANGE DETECTION ON LOBLOLLY PINE FOREST STANDS WITH COMPLETE UNDERSTORY REMOVAL

    EPA Science Inventory

    The confounding effect of understory vegetation contributions to satellite derived
    estimates of leaf area index (LAI) was investigated on two loblolly pine (Pinus taeda) forest stands located in the southeastern United States. Previous studies have shown that understory can a...

  6. LEAF AREA INDEX (LAI) CHANGE DETECTION ON LOBLOLLY PINE FOREST STANDS WITH COMPLETE UNDERSTORY REMOVAL

    EPA Science Inventory

    The confounding effect of understory vegetation contributions to satellite derived estimates of leaf area index (LAI) was investigated on two loblolly pine forest stands located in the southeastern United States. Previous studies have shown that understory can account from 0-40%...

  7. Integration of ALS and TLS for calibration and validation of LAI profiles from large footprint lidar

    NASA Astrophysics Data System (ADS)

    Armston, J.; Tang, H.; Hancock, S.; Hofton, M. A.; Dubayah, R.; Duncanson, L.; Fatoyinbo, T. E.; Blair, J. B.; Disney, M.

    2016-12-01

    The Global Ecosystem Dynamics Investigation (GEDI) is designed to provide measurements of forest vertical structure and above-ground biomass density (AGBD) over tropical and temperate regions. The GEDI is a multi-beam waveform lidar that will acquire transects of forest canopy vertical profiles in conditions of up to 99% canopy cover. These are used to produce a number of canopy height and profile metrics to model habitat suitability and AGBD. These metrics include vertical leaf area index (LAI) profiles, which require some pre-launch refinement of large-footprint waveform processing methods for separating canopy and ground returns and estimation of their reflectance. Previous research developments in modelling canopy gap probability to derive canopy and ground reflectance from waveforms have primarily used data from small-footprint instruments, however development of a generalized spatial model with uncertainty will be useful for interpreting and modelling waveforms from large-footprint instruments such as the NASA Land Vegetation and Ice Sensor (LVIS) with a view to implementation for GEDI. Here we present an analysis of waveform lidar data from the NASA Land Vegetation and Ice Sensor (LVIS), which were acquired in Gabon in February 2016 to support the NASA/ESA AfriSAR campaign. AfriSAR presents a unique opportunity to test refined methods for retrieval of LAI profiles in high above-ground biomass rainforests (up to 600 Mg/ha) with dense canopies (>90% cover), where the greatest uncertainty exists. Airborne and Terrestrial Laser Scanning data (TLS) were also collected, enabling quantification of algorithm performance in plots of dense canopy cover. Refinement of canopy gap probability and LAI profile modelling from large-footprint lidar was based on solving for canopy and ground reflectance parameters spatially by penalized least-squares. The sensitivities of retrieved cover and LAI profiles to variation in canopy and ground reflectance showed improvement

  8. 78 FR 53243 - Safety Zone; TriRock San Diego, San Diego Bay, San Diego, CA

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-08-29

    ... DEPARTMENT OF HOMELAND SECURITY Coast Guard 33 CFR Part 165 [Docket No. USCG-2013-0555] RIN 1625-AA00 Safety Zone; TriRock San Diego, San Diego Bay, San Diego, CA AGENCY: Coast Guard, DHS. ACTION...-591 Safety Zone; TriRock San Diego, San Diego Bay, San Diego, CA. (a) Location. The limits of the...

  9. LEAF AREA INDEX (LAI) CHANGE DETECTION ANALYSIS ON LOBLOLLY PINE (PINUS TAEDA) FOLLOWING COMPLETE UNDERSTORY REMOVAL

    EPA Science Inventory

    The confounding effect of understory vegetation contributions to satellite-derived estimates of leaf area index (LAI) was investigated on two loblolly pine (Pinus taeda) forest stands located in Virginia and North Carolina. In order to separate NDVI contributions of the dominantc...

  10. A dense camera network for cropland (CropInsight) - developing high spatiotemporal resolution crop Leaf Area Index (LAI) maps through network images and novel satellite data

    NASA Astrophysics Data System (ADS)

    Kimm, H.; Guan, K.; Luo, Y.; Peng, J.; Mascaro, J.; Peng, B.

    2017-12-01

    Monitoring crop growth conditions is of primary interest to crop yield forecasting, food production assessment, and risk management of individual farmers and agribusiness. Despite its importance, there are limited access to field level crop growth/condition information in the public domain. This scarcity of ground truth data also hampers the use of satellite remote sensing for crop monitoring due to the lack of validation. Here, we introduce a new camera network (CropInsight) to monitor crop phenology, growth, and conditions that are designed for the US Corn Belt landscape. Specifically, this network currently includes 40 sites (20 corn and 20 soybean fields) across southern half of the Champaign County, IL ( 800 km2). Its wide distribution and automatic operation enable the network to capture spatiotemporal variations of crop growth condition continuously at the regional scale. At each site, low-maintenance, and high-resolution RGB digital cameras are set up having a downward view from 4.5 m height to take continuous images. In this study, we will use these images and novel satellite data to construct daily LAI map of the Champaign County at 30 m spatial resolution. First, we will estimate LAI from the camera images and evaluate it using the LAI data collected from LAI-2200 (LI-COR, Lincoln, NE). Second, we will develop relationships between the camera-based LAI estimation and vegetation indices derived from a newly developed MODIS-Landsat fusion product (daily, 30 m resolution, RGB + NIR + SWIR bands) and the Planet Lab's high-resolution satellite data (daily, 5 meter, RGB). Finally, we will scale up the above relationships to generate high spatiotemporal resolution crop LAI map for the whole Champaign County. The proposed work has potentials to expand to other agro-ecosystems and to the broader US Corn Belt.

  11. Discerning spatial and temporal LAI and clear-sky FAPAR variability during summer at the Toolik Lake vegetation monitoring grid (North Slope, Alaska)

    NASA Astrophysics Data System (ADS)

    Heim, B.; Beamish, A. L.; Walker, D. A.; Epstein, H. E.; Sachs, T.; Chabrillat, S.; Buchhorn, M.; Prakash, A.

    2016-12-01

    Ground data for the validation of satellite-derived terrestrial Essential Climate Variables (ECVs) at high latitudes are sparse. Also for regional model evaluation (e.g. climate models, land surface models, permafrost models), we lack accurate ranges of terrestrial ground data and face the problem of a large mismatch in scale. Within the German research programs `Regional Climate Change' (REKLIM) and the Environmental Mapping and Analysis Program (EnMAP), we conducted a study on ground data representativeness for vegetation-related variables within a monitoring grid at the Toolik Lake Long-Term Ecological Research station; the Toolik Lake station lies in the Kuparuk River watershed on the North Slope of the Brooks Mountain Range in Alaska. The Toolik Lake grid covers an area of 1 km2 containing Eight five grid points spaced 100 meters apart. Moist acidic tussock tundra is the most dominant vegetation type within the grid. Eight five permanent 1 m2 plots were also established to be representative of the individual gridpoints. Researchers from the University of Alaska Fairbanks have undertaken assessments at these plots, including Leaf Area Index (LAI) and field spectrometry to derive the Normalized Difference Vegetation Index (NDVI). During summer 2016, we conducted field spectrometry and LAI measurements at selected plots during early, peak and late summer. We experimentally measured LAI on more spatially extensive Elementary Sampling Units (ESUs) to investigate the spatial representativeness of the permanent 1 m2 plots and to map ESUs for various tundra types. LAI measurements are potentially influenced by landscape-inherent microtopography, sparse vascular plant cover, and dead woody matter. From field spectrometer measurements, we derived a clear-sky mid-day Fraction of Absorbed Photosynthetically Active Radiation (FAPAR). We will present the first data analyses comparing FAPAR and LAI, and maps of biophysically-focused ESUs for evaluation of the use of remote

  12. How Universal Is the Relationship Between Remotely Sensed Vegetation Indices (VI) and Crop Leaf Area Index (LAI)?

    NASA Technical Reports Server (NTRS)

    Kang, Yanghui; Ozdogan, Mutlu; Zipper, Samuel C.; Roman, Miguel

    2016-01-01

    Global LAI-VI relationships are statistically significant, crop-specific, and mostly non-linear. This research enables the operationalization of large-area crop modeling and, by extension, has relevance to both fundamental and applied agroecosystem research.

  13. 77 FR 54811 - Safety Zone; TriRock San Diego, San Diego Bay, San Diego, CA

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-09-06

    ... 1625-AA00 Safety Zone; TriRock San Diego, San Diego Bay, San Diego, CA AGENCY: Coast Guard, DHS. ACTION... sponsoring the TriRock Triathlon, consisting of 2000 swimmers swimming a predetermined course. The sponsor... to read as follows: Sec. 165.T11-516 Safety Zone; TriRock Triathlon; San Diego Bay, San Diego, CA. (a...

  14. Probabilistic landslide susceptibility mapping in the Lai Chau province of Vietnam: focus on the relationship between tectonic fractures and landslides

    NASA Astrophysics Data System (ADS)

    Lee, Saro; Dan, Nguyen Tu

    2005-09-01

    This study evaluates the susceptibility of landslides in the Lai Chau province of Vietnam using Geographic Information System (GIS) and remote sensing data to focus on the relationship between tectonic fractures and landslides. Landslide locations were identified from aerial photographs and field surveys. Topographic, geological data and satellite images were collected, processed, and constructed into a spatial database using GIS data and image-processing techniques. A scheme of the tectonic fracturing of crust in the Lai Chau region was established. Lai Chau was identified as a region with many crustal fractures, where the grade of tectonic fracture is closely related to landslide occurrence. The influencing factors of landslide occurrence were: distance from a tectonic fracture, slope, aspect, curvature, soil, and vegetative land cover. Landslide prone areas were analyzed and mapped using the landslide occurrence factors employing the probability-frequency ratio model. The results of the analysis were verified using landslide location data and showed 83.47% prediction accuracy. That emphasized a strong relationship between the susceptibility map and the existing landslide location data. The results of this study can form a basis stable development and land use planning for the region.

  15. San Francisco folio, California, Tamalpais, San Francisco, Concord, San Mateo, and Haywards quadrangles

    USGS Publications Warehouse

    Lawson, Andrew Cowper

    1914-01-01

    The five sheets of the San Francisco folio the Tamalpais, Ban Francisco, Concord, Ban Mateo, and Haywards sheets map a territory lying between latitude 37° 30' and 38° and longitude 122° and 122° 45'. Large parts of four of these sheets cover the waters of the Bay of San Francisco or of the adjacent Pacific Ocean. (See fig. 1.) Within the area mapped are the cities of San Francisco, Oakland, Berkeley, Alameda, Ban Rafael, and San Mateo, and many smaller towns and villages. These cities, which have a population aggregating about 750,000, together form the largest and most important center of commercial and industrial activity on the west coast of the United States. The natural advantages afforded by a great harbor, where the railways from the east meet the ships from all ports of the world, have determined the site of a flourishing cosmopolitan, commercial city on the shores of San Francisco Bay. The bay is encircled by hilly and mountainous country diversified by fertile valley lands and divides the territory mapped into two rather contrasted parts, the western part being again divided by the Golden Gate. It will therefore be convenient to sketch the geographic features under four headings (1) the area east of San Francisco Bay; (2) the San Francisco Peninsula; (3) the Marin Peninsula; (4) San Francisco Bay. (See fig. 2.)

  16. lais de prise en charge des syndromes coronariens aigus avec sus-décalage du segment ST à Ouagadougou et facteurs associés à un allongement de ces délais: étude transversale à propos de 43 cas colligés au CHU-Yalgado Ouédraogo

    PubMed Central

    Yameogo, Nobila Valentin; Samadoulougou, André; Millogo, Georges; Kologo, Koudougou Jonas; Kombassere, Karim; Toguyeni, Boubacar Jean Yves; Zabsonre, Patrice

    2012-01-01

    La prise en charge de l'infarctus du myocarde est une course contre la montre et les trois premières heures constituent les « golden hours ». Les objectifs de ce travail étaient de déterminer le délai de prise en charge des infarctus du myocarde du myocarde au Burkina Faso, les facteurs liés à un allongement du délai et le pronostic des patients. Il s'agit d'une étude transversale descriptive menée de Septembre 2010 à Août 2011. Le critère d'inclusion était l'infarctus du myocarde dont le diagnostic était basé sur des critères clinique (douleur angineuse), électrocardiographique (sus-décalage persistant du segment ST dans au moins deux dérivations contiguës du même territoire coronaire, onde Q de nécrose) et biologique (élévation de la troponine). Les informations relatives au délai de prise en charge ont été recueillies: début du premier symptôme, contact avec le premier agent de santé et le cardiologue, nombre de centre de santé consulté avant le transfert en cardiologie, situation géographique des patients, moyen de transport utilisé. Les données ont été analysées grâce au logiciel SPSS version 17. Durant la période d’étude, 43 patients d’âge moyen de 56,51 ± 12,91 ans ont été admis pour infarctus du myocarde. Plus de la moitié des patients (72,0%) habitait Ouagadougou et sa banlieue. Le délai moyen entre le début de la douleur et la consultation dans la première structure sanitaire était de 48 ± 20,8 heures; celui entre le début de la douleur et la réalisation du premier ECG était en moyenne de 8,6 ±4,5 jours. Le délai entre la réalisation de l'ECG et l'admission dans le service de cardiologie était de 4,35 ±4,0 jours [00 heure et 13 jours]. Le délai entre l'admission dans le service de cardiologie et la thrombolyse était de 34 minutes. Enfin le délai entre le début de la douleur et le contact avec le cardiologue était de 9,6±3,5 jours. Il n'y avait pas de différence statiquement

  17. 1. Historic American Buildings Survey San Francisco Chronicle Library San ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    1. Historic American Buildings Survey San Francisco Chronicle Library San Francisco, California PHOTO TAKEN ABOUT 1910 - Yerba Buena Lighthouse Buildings, Yerba Buena Island, San Francisco, San Francisco County, CA

  18. Practical field methods of estimating canopy cover, PAR, and LAI in Michigan Oak and pine stands

    Treesearch

    David S. Buckley; J.G. Isebrands; Terry L. Sharik

    1999-01-01

    With the increased use of variables such as canopy cover photosynthetically active radiation (PAR) and overstory leaf area index (LAI) in forestry research, relationships between these variables and traditional forestry variables must be defined before recommended levels of these research variables can be achieved by forestry practitioners on the ground. We measured...

  19. MODIS land cover and LAI collection 4 product quality across nine states in the western hemisphere.

    Treesearch

    Warren B. Cohen; Thomas K. Maiersperger; David P. Turner; William D. Ritts; Dirk Pflugmacher; Robert E. Kennedy; Alan Kirschbaum; Steven W. Running; Marcos Costa; Stith T. Gower

    2006-01-01

    Global maps of land cover and leaf area index (LAI) derived from the Moderate Resolution Imaging Spectrometer (MODIS) reflectance data are an important resource in studies of global change, but errors in these must be characterized and well understood. Product validation requires careful scaling from ground and related measurements to a grain commensurate with MODIS...

  20. Challenges in Diagnosis and Management of Serotonin Syndrome in A Patient with Schizophrenia Treated with A LAI Antipsychotic

    DTIC Science & Technology

    2017-05-20

    Syndrome in A Patient With Schizophrenia Treated with A LAJ Antipsychotic presented at/published to 2017 American Psychiatric Association Annual Meeting...OR PRESENTED: Challenges in Diagnosis and Management of Serotonin Syndrome in a Patient With Schizophrenia Treated With a LAI Antipsychotic 7

  1. Comparison of satellite-derived LAI and precipitation anomalies over Brazil with a thermal infrared-based Evaporative Stress Index for 2003-2013

    NASA Astrophysics Data System (ADS)

    Anderson, Martha C.; Zolin, Cornelio A.; Hain, Christopher R.; Semmens, Kathryn; Tugrul Yilmaz, M.; Gao, Feng

    2015-07-01

    Shortwave vegetation index (VI) and leaf area index (LAI) remote sensing products yield inconsistent depictions of biophysical response to drought and pluvial events that have occurred in Brazil over the past decade. Conflicting reports of severity of drought impacts on vegetation health and functioning have been attributed to cloud and aerosol contamination of shortwave reflectance composites, particularly over the rainforested regions of the Amazon basin which are subject to prolonged periods of cloud cover and episodes of intense biomass burning. This study compares timeseries of satellite-derived maps of LAI from the Moderate Resolution Imaging Spectroradiometer (MODIS) and precipitation from the Tropical Rainfall Mapping Mission (TRMM) with a diagnostic Evaporative Stress Index (ESI) retrieved using thermal infrared remote sensing over South America for the period 2003-2013. This period includes several severe droughts and floods that occurred both over the Amazon and over unforested savanna and agricultural areas in Brazil. Cross-correlations between absolute values and standardized anomalies in monthly LAI and precipitation composites as well as the actual-to-reference evapotranspiration (ET) ratio used in the ESI were computed for representative forested and agricultural regions. The correlation analyses reveal strong apparent anticorrelation between MODIS LAI and TRMM precipitation anomalies over the Amazon, but better coupling over regions vegetated with shorter grass and crop canopies. The ESI was more consistently correlated with precipitation patterns over both landcover types. Temporal comparisons between ESI and TRMM anomalies suggest longer moisture buffering timescales in the deeper rooted rainforest systems. Diagnostic thermal-based retrievals of ET and ET anomalies, such as used in the ESI, provide independent information on the impacts of extreme hydrologic events on vegetation health in comparison with VI and precipitation-based drought

  2. Scaling Sap Flow Results Over Wide Areas Using High-Resolution Aerial Multispectral Digital Imaging, Leaf Area Index (LAI) and MODIS Satellite Imagery in Saltcedar Stands on the Lower Colorado River

    NASA Astrophysics Data System (ADS)

    Murray, R.; Neale, C.; Nagler, P. L.; Glenn, E. P.

    2008-12-01

    Heat-balance sap flow sensors provide direct estimates of water movement through plant stems and can be used to accurately measure leaf-level transpiration (EL) and stomatal conductance (GS) over time scales ranging from 20-minutes to a month or longer in natural stands of plants. However, their use is limited to relatively small branches on shrubs or trees, as the gauged stem section needs to be uniformly heated by the heating coil to produce valid measurements. This presents a scaling problem in applying the results to whole plants, stands of plants, and larger landscape areas. We used high-resolution aerial multispectral digital imaging with green, red and NIR bands as a bridge between ground measurements of EL and GS, and MODIS satellite imagery of a flood plain on the Lower Colorado River dominated by saltcedar (Tamarix ramosissima). Saltcedar is considered to be a high-water-use plant, and saltcedar removal programs have been proposed to salvage water. Hence, knowledge of actual saltcedar ET rates is needed on western U.S. rivers. Scaling EL and GS to large landscape units requires knowledge of leaf area index (LAI) over large areas. We used a LAI model developed for riparian habitats on Bosque del Apache, New Mexico, to estimate LAI at our study site on the Colorado River. We compared the model estimates to ground measurements of LAI, determined with a Li-Cor LAI-2000 Plant Canopy Analyzer calibrated by leaf harvesting to determine Specific Leaf Area (SLA) (m2 leaf area per g dry weight leaves) of the different species on the floodplain. LAI could be adequately predicted from NDVI from aerial multispectral imagery and could be cross-calibrated with MODIS NDVI and EVI. Hence, we were able to project point measurements of sap flow and LAI over multiple years and over large areas of floodplain using aerial multispectral imagery as a bridge between ground and satellite data. The methods are applicable to riparian corridors throughout the western U.S.

  3. 75 FR 38412 - Safety Zone; San Diego POPS Fireworks, San Diego, CA

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-07-02

    ...-AA00 Safety Zone; San Diego POPS Fireworks, San Diego, CA AGENCY: Coast Guard, DHS. ACTION: Temporary... waters of San Diego Bay in support of the San Diego POPS Fireworks. This safety zone is necessary to... San Diego POPS Fireworks, which will include fireworks presentations conducted from a barge in San...

  4. Differential patterns of replacement and reactive fibrosis in pressure and volume overload are related to the propensity for ischaemia and involve resistin

    PubMed Central

    Chemaly, Elie R; Kang, Soojeong; Zhang, Shihong; McCollum, LaTronya; Chen, Jiqiu; Bénard, Ludovic; Purushothaman, K-Raman; Hajjar, Roger J; Lebeche, Djamel

    2013-01-01

    Pathological left ventricle (LV) hypertrophy (LVH) results in reactive and replacement fibrosis. Volume overload LVH (VOH) is less profibrotic than pressure overload LVH (POH). Studies attribute subendocardial fibrosis in POH to ischaemia, and reduced fibrosis in VOH to collagen degradation favouring dilatation. However, the mechanical origin of the relative lack of fibrosis in VOH is incompletely understood. We hypothesized that reduced ischaemia propensity in VOH compared to POH accounted for the reduced replacement fibrosis, along with reduced reactive fibrosis. Rats with POH (ascending aortic banding) evolved into either compensated-concentric POH (POH-CLVH) or dilated cardiomyopathy (POH-DCM); they were compared to VOH (aorta–caval fistula). We quantified LV fibrosis, structural and haemodynamic factors of ischaemia propensity, and the activation of profibrotic pathways. Fibrosis in POH-DCM was severe, subendocardial and subepicardial, in contrast with subendocardial fibrosis in POH-CLVH and nearly no fibrosis in VOH. The propensity for ischaemia was more important in POH versus VOH, explaining different patterns of replacement fibrosis. LV collagen synthesis and maturation, and matrix metalloproteinase-2 expression, were more important in POH. The angiotensin II-transforming growth-factor β axis was enhanced in POH, and connective tissue growth factor (CTGF) was overexpressed in all types of LVH. LV resistin expression was markedly elevated in POH, mildly elevated in VOH and independently reflected chronic ischaemic injury after myocardial infarction. In vitro, resistin is induced by angiotensin II and induces CTGF in cardiomyocytes. Based on these findings, we conclude that a reduced ischaemia propensity and attenuated upstream reactive fibrotic pathways account for the attenuated fibrosis in VOH versus POH. PMID:24018949

  5. LAI, FAPAR and FCOVER products derived from AVHRR long time series: principles and evaluation

    NASA Astrophysics Data System (ADS)

    Verger, A.; Baret, F.; Weiss, M.; Lacaze, R.; Makhmara, H.; Pacholczyk, P.; Smets, B.; Kandasamy, S.; Vermote, E.

    2012-04-01

    Continuous and long term global monitoring of the terrestrial biosphere has draught an intense interest in the recent years in the context of climate and global change. Developing methodologies for generating historical data records from data collected with different satellite sensors over the past three decades by taking benefits from the improvements identified in the processing of the new generation sensors is a new central issue in remote sensing community. In this context, the Bio-geophysical Parameters (BioPar) service within Geoland2 project (http://www.geoland2.eu) aims at developing pre-operational infrastructures for providing global land products both in near real time and off-line mode with long time series. In this contribution, we describe the principles of the GEOLAND algorithm for generating long term datasets of three key biophysical variables, leaf area index (LAI), Fraction of Absorbed Photosynthetic Active Radiation (FAPAR) and cover fraction (FCOVER), that play a key role in several processes, including photosynthesis, respiration and transpiration. LAI, FAPAR and FCOVER are produced globally from AVHRR Long Term Data Record (LTDR) for the 1981-2000 period at 0.05° spatial resolution and 10 days temporal sampling frequency. The proposed algorithm aims to ensure robustness of the derived long time series and consistency with the ones developed in the recent years, and particularly with GEOLAND products derived from VEGETATION sensor. The approach is based on the capacity of neural networks to learn a particular biophysical product (GEOLAND) from reflectances from another sensor (AVHRR normalized reflectances in the red and near infrared bands). Outliers due to possible cloud contamination or residual atmospheric correction are iteratively eliminated. Prior information based on the climatology is used to get more robust estimates. A specific gap filing and smoothing procedure was applied to generate continuous and smooth time series of decadal

  6. 40. Historic American Buildings Survey San Francisco Chronicle Collection San ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    40. Historic American Buildings Survey San Francisco Chronicle Collection San Francisco, California March 24, 1924 VIEW OF HIGH ALTAR - Mission San Carlos Borromeo, Rio Road & Lausen Drive, Carmel-by-the-Sea, Monterey County, CA

  7. [Qijie theory of LAI's Tongyuan acupuncture technique].

    PubMed

    Zhuang, Juanjuan; Wang, Jihong; Lai, Xinsheng

    2016-05-01

    Qijie theory is one of the important components of TCM meridian and collateral system. It is the shortcut for the communication from the exterior to the interior and for the transverse connection, strengthens the therapeutic effects of acupuncture and moxibustion on the disorders of internal organs and enlarges the indications of acupoints. Professor LAI Xinsheng originally creats Tongyuan acupuncture technique. It is a kind of acupuncture therapeutic methods, including promoting the circulation of the governor vessel, regulating the mind and conducting qi to the origin. In order to analyze the connection between Tongyuan acupuncture technique and traditional meridian and collateral theory, the connotations of Tongyuan acupuncture technique and qijie, as well as the in-terrelationship between them are taken as the basis in the paper. By tracing the literature records, the original concept of qijie is detected. Through proving clinically Tongyuan acupuncture technique, it is revealed that qijie is the arrowhead on the main road of meridian qi circulation and is the essential connotation of the direct path of the body surface connecting with the deep layers of the body as well as the zangfu organs and tissues. It is summarized that the traditional qijie theory provides the powerful theoretic evidence for the treatment with Tongyuan acupuncture technique.

  8. 29. Photocopy of photograph (from San Francisco Chronicle Library, San ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    29. Photocopy of photograph (from San Francisco Chronicle Library, San Francisco, California, c. 1930 (?) EXTERIOR, GENERAL VIEW OF CONVENTO, FRONT VIEW, AFTER RESTORATION - Mission San Francisco Solano de Sonoma, First & Spain Streets, Sonoma, Sonoma County, CA

  9. 28. Photocopy of photograph (from San Francisco Chronicle Library, San ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    28. Photocopy of photograph (from San Francisco Chronicle Library, San Francisco, California, c. 1930 (?) EXTERIOR, DETAIL OF MISSION BELL IN FRONT OF CONVENTO, C. 1930 (?) - Mission San Francisco Solano de Sonoma, First & Spain Streets, Sonoma, Sonoma County, CA

  10. Access, quality, and costs of care at physician owned hospitals in the United States: observational study.

    PubMed

    Blumenthal, Daniel M; Orav, E John; Jena, Anupam B; Dudzinski, David M; Le, Sidney T; Jha, Ashish K

    2015-09-02

    To compare physician owned hospitals (POHs) with non-POHs on metrics around patient populations, quality of care, costs, and payments. Observational study. Acute care hospitals in 95 hospital referral regions in the United States, 2010. 2186 US acute care hospitals (219 POHs and 1967 non-POHs). Proportions of patients using Medicaid and those from ethnic and racial minority groups; hospital performance on patient experience metrics, care processes, risk adjusted 30 day mortality, and readmission rates; costs of care; care payments; and Medicare market share. The 219 POHs were more often small (<100 beds), for profit, and in urban areas. 120 of these POHs were general (non-specialty) hospitals. Compared with patients from non-POHs, those from POHs were younger (77.4 v 78.4 years, P<0.001), less likely to be admitted through an emergency department (23.2% v. 29.0%, P<0.001), equally likely to be black (5.1% v 5.5%, P=0.85) or to use Medicaid (14.9% v 15.4%, P=0.75), and had similar numbers of chronic diseases and predicted mortality scores. POHs and non-POHs performed similarly on patient experience scores, processes of care, risk adjusted 30 day mortality, 30 day readmission rates, costs, and payments for acute myocardial infarction, congestive heart failure, and pneumonia. Although POHs may treat slightly healthier patients, they do not seem to systematically select more profitable or less disadvantaged patients or to provide lower value care. © Blumenthal et al 2015.

  11. LAI (in situ, simulated, Landsat-derived, and MODIS): A comparison within an Oak-Hickory Forest Complex in southwestern Virginia, USA.

    EPA Science Inventory

    The United States Environmental Protection Agency’s Environmental Sciences and Atmospheric Modeling Analysis Divisions are investigating the viability of simulated (i.e., ‘modeled’) leaf area index (LAI) inputs into various regional and local scale air quality models. Satellite L...

  12. 77 FR 42647 - Safety Zone: San Diego Symphony POPS Fireworks; San Diego, CA

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-07-20

    ... 1625-AA00 Safety Zone: San Diego Symphony POPS Fireworks; San Diego, CA AGENCY: Coast Guard, DHS... waters of San Diego Bay in support of the San Diego Symphony POPS Fireworks. This safety zone is... David Varela, Waterways Management, U.S. Coast Guard Sector San Diego, Coast Guard; telephone 619-278...

  13. 75 FR 77756 - Safety Zone; San Diego Parade of Lights Fireworks, San Diego, CA

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-12-14

    ...-AA00 Safety Zone; San Diego Parade of Lights Fireworks, San Diego, CA AGENCY: Coast Guard, DHS. ACTION... San Diego Bay in San Diego, CA in support of the two San Diego Parade of Lights Fireworks Displays on... and Purpose Fireworks and Stage FX America INC are sponsoring the San Diego Parade of Lights Fireworks...

  14. 41. Historic American Buildings Survey San Francisco CallBulletin Library San ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    41. Historic American Buildings Survey San Francisco Call-Bulletin Library San Francisco, California INTERIOR VIEW OF CHURCH BEFORE RESTORATION - 1934 - Mission San Carlos Borromeo, Rio Road & Lausen Drive, Carmel-by-the-Sea, Monterey County, CA

  15. 76 FR 45693 - Safety Zone; San Diego POPS Fireworks, San Diego, CA

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-08-01

    ...-AA00 Safety Zone; San Diego POPS Fireworks, San Diego, CA AGENCY: Coast Guard, DHS. ACTION: Temporary... San Diego Bay in support of the San Diego POPS Fireworks. This safety zone is necessary to provide for... of the waterway during scheduled fireworks events. Persons and vessels will be prohibited from...

  16. Perillyl alcohol suppresses antigen-induced immune responses in the lung

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

    Imamura, Mitsuru; Sasaki, Oh; Okunishi, Katsuhide

    Highlights: •Perillyl alcohol (POH) is an isoprenoid which inhibits the mevalonate pathway. •We examined whether POH suppresses immune responses with a mouse model of asthma. •POH treatment during sensitization suppressed Ag-induced priming of CD4{sup +} T cells. •POH suppressed airway eosinophila and cytokine production in thoracic lymph nodes. -- Abstract: Perillyl alcohol (POH) is an isoprenoid which inhibits farnesyl transferase and geranylgeranyl transferase, key enzymes that induce conformational and functional changes in small G proteins to conduct signal production for cell proliferation. Thus, it has been tried for the treatment of cancers. However, although it affects the proliferation of immunocytes,more » its influence on immune responses has been examined in only a few studies. Notably, its effect on antigen-induced immune responses has not been studied. In this study, we examined whether POH suppresses Ag-induced immune responses with a mouse model of allergic airway inflammation. POH treatment of sensitized mice suppressed proliferation and cytokine production in Ag-stimulated spleen cells or CD4{sup +} T cells. Further, sensitized mice received aerosolized OVA to induce allergic airway inflammation, and some mice received POH treatment. POH significantly suppressed indicators of allergic airway inflammation such as airway eosinophilia. Cytokine production in thoracic lymph nodes was also significantly suppressed. These results demonstrate that POH suppresses antigen-induced immune responses in the lung. Considering that it exists naturally, POH could be a novel preventive or therapeutic option for immunologic lung disorders such as asthma with minimal side effects.« less

  17. Architecture of the Black Moshannon forest canopy measured by hemispherical photographs and a LI-COR LAI-2000 sensor

    Treesearch

    Y. S. Wang; J. Welles; D. R. Miller; D. E. Anderson; G. Heisler; M. McManus

    1991-01-01

    Non-destructive measurements of light penetration were made at 10 heights in the canopy on twelve different sites in the PA oak forest where the Blackmo 88 spray-micrometeorological experiment was conducted. Vertical profiles of Leaf Area Index, LAI, were calculated from these measurements, and the data were used to define the spatial variability of the forest canopy...

  18. Gain-loss study of lower San Pedro Creek and the San Antonio River, San Antonio, Texas, May-October 1999

    USGS Publications Warehouse

    Ockerman, Darwin J.

    2002-01-01

    Five streamflow gain-loss measurement surveys were made along lower San Pedro Creek and the San Antonio River from Mitchell Street to South Loop 410 east of Kelly Air Force Base in San Antonio, Texas, during May–October 1999. All of the measurements were made during dry periods, when stormwater runoff was not occurring and effects of possible bank storage were minimized. San Pedro Creek and the San Antonio River were divided into six subreaches, and streamflow measurements were made simultaneously at the boundaries of these subreaches so that streamflow gains or losses and estimates of inflow from or outflow to shallow ground water could be quantified for each subreach. There are two possible sources of ground-water inflow to lower San Pedro Creek and the San Antonio River east of Kelly Air Force Base. One source is direct inflow of shallow ground water into the streams. The other source is ground water that enters tributaries that flow into the San Antonio River. The estimated mean direct inflow of ground water to the combined San Pedro Creek and San Antonio River study reach was 3.0 cubic feet per second or 1.9 million gallons per day. The mean tributary inflow of ground water was estimated to be 1.9 cubic feet per second or 1.2 million gallons per day. The total estimated inflow of shallow ground water was 4.9 cubic feet per second or 3.2 million gallons per day. The amount of inflow from springs and seeps (estimated by observation) is much less than the amount of direct ground-water inflow estimated from the gain-loss measurements. Therefore, the presence of springs and seeps might not be a reliable indicator of the source of shallow ground water entering the river. Most of the shallow ground water that enters the San Antonio River from tributary inflow enters from the west side, through Concepcion Creek, inflows near Riverside Golf Course, and Six-Mile Creek. 

  19. BOREAS RSS-4 1994 Southern Study Area Jack Pine LAI and FPAR Data

    NASA Technical Reports Server (NTRS)

    Hall, Forrest G. (Editor); Nickeson, Jaime (Editor); Plummer, Stephen

    2000-01-01

    The RSS-4 team collected several data sets related to leaf, plant, and stand physical, optical, and chemical properties. This data set contains leaf area indices and FPAR measurements that were taken at the three conifer sites in the BOREAS SSA during August 1993 and at the jack pine tower flux and a subset of auxiliary sites during July and August 1994. The measurements were made with LAI-2000 and Ceptometer instruments. The measurements were taken for the purpose of model parameterization and to test empirical relationships that were hypothesized between biophysical parameters and remotely sensed data. The data are stored in tabular ASCII files.

  20. 76 FR 38305 - Safety Zone; San Francisco Chronicle Fireworks Display, San Francisco, CA

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-06-30

    ... DEPARTMENT OF HOMELAND SECURITY Coast Guard 33 CFR Part 165 [Docket No. USCG 2011-0402] Safety Zone; San Francisco Chronicle Fireworks Display, San Francisco, CA AGENCY: Coast Guard, DHS. ACTION... annual San Francisco Chronicle Fireworks Display (Independence Day Celebration for the City of San...

  1. Topographical map of San Bernadina and San Gabriel mountains

    NASA Image and Video Library

    2000-02-04

    JSC2000E01554 (January 2000) --- This is a shaded relief depiction of the same data set found in JSC2000-E-01553. Radar imagery, such as that to be provided by SRTM, is instrumental in creating these types of topographic models. Both images depict the San Bernadino and San Gabriel Mountains in California, north of Los Angeles. Cajon Junction and Cajon Pass, as well as part of the San Andreas fault line, are clearly seen.

  2. A Model-Data Intercomparison of Carbon Fluxes, Pools, and LAI in the Community Land Model (CLM) and Alternative Carbon Allocation Schemes

    NASA Astrophysics Data System (ADS)

    Montane, F.; Fox, A. M.; Arellano, A. F.; Alexander, M. R.; Moore, D. J.

    2016-12-01

    Carbon (C) allocation to different plant tissues (leaves, stem and roots) remains a central challenge for understanding the global C cycle, as it determines C residence time. We used a diverse set of observations (AmeriFlux eddy covariance towers, biomass estimates from tree-ring data, and Leaf Area Index measurements) to compare C fluxes, pools, and Leaf Area Index (LAI) data with the Community Land Model (CLM). We ran CLM for seven temperate forests in North America (including evergreen and deciduous sites) between 1980 and 2013 using different C allocation schemes: i) standard C allocation scheme in CLM, which allocates C to the stem and leaves as a dynamic function of annual net primary productivity (NPP); ii) two fixed C allocation schemes, one representative of evergreen and the other one of deciduous forests, based on Luyssaert et al. 2007; iii) an alternative C allocation scheme, which allocated C to stem and leaves, and to stem and coarse roots, as a dynamic function of annual NPP, based on Litton et al. 2007. At our sites CLM usually overestimated gross primary production and ecosystem respiration, and underestimated net ecosystem exchange. Initial aboveground biomass in 1980 was largely overestimated for deciduous forests, whereas aboveground biomass accumulation between 1980 and 2011 was highly underestimated for both evergreen and deciduous sites due to the lower turnover rate in the sites than the one used in the model. CLM overestimated LAI in both evergreen and deciduous sites because the Leaf C-LAI relationship in the model did not match the observed Leaf C-LAI relationship in our sites. Although the different C allocation schemes gave similar results for aggregated C fluxes, they translated to important differences in long-term aboveground biomass accumulation and aboveground NPP. For deciduous forests, one of the alternative C allocation schemes used (iii) gave more realistic stem C/leaf C ratios, and highly reduced the overestimation of initial

  3. Public Involvement and Response Plan (Community Relations Plan), Presidio of San Francisco, San Francisco, California

    DTIC Science & Technology

    1992-03-01

    Oty_ Population City Population San Jose 782,248 Santa Clara 92,090 San Francisco 763,800 Daly City 91,209 Oakland 372,000 San Mateo 84,829...Oakland Tribune P.O. Box 24424 Oakland, CA 94623 (415) 645-2000/2771 DAILY NEWSPAPERS (cont’d) Editor San Jose Mercury-News P.O. Box 5533 750 Ridder...Park Drive San Jose , CA 95190 (408) 920-5000/288-8060 Editor San Mateo Times P.O. Box 5400 1080 S. Amphlett San Mateo, CA 94402 (415) 348

  4. [Professor LAI Xinsheng's clinical experience in the treatment of premature ovarian failure with tongyuan acupuncture technique and Chinese herbal medicine].

    PubMed

    Li, Xiaozhe; Zhang, Sujuan

    2017-03-12

    In the treatment of premature ovarian failure (POF), professor LAI Xinsheng focuses on the determination of syndrome to seek for etiology, associating with the differentiation of meridian and collateral and that of zangfu organs. Professor LAI believes that POF is mainly manifested as amenorrhea and infertility, localized in the kidney, with the dysfunction of liver, spleen and heart. It is impacted by many pathological factors, such as cold blockage, qi stagnation, blood stagnation, blood deficiency, yin deficiency, etc., which leads to the damage of the thoroughfare vessel and the conception vessel and the blockage of menstrual flow. On the basis of four diagnostic Methods and syndrome differentiation, there are four common syndromes of POF, named qi and blood deficiency, qi and blood stagnation, liver and kidney deficiency and yang deficiency of spleen and kidney. Tongyuan acupuncture technique is summarized by Professor LAI Xinsheng on the basis of yinyang theory. It is an effective and scientific method for acupoint selection along the meridians. The acupoints on the back, communicating with the governor vessel and mind regulation, acting on the brain are selected to promote yang qi of the governor vessel. The back- shu points of five zang organs are selected to regulate the functions of internal organs. The acupoints on the abdomen and the conception vessel are selected to conduce qi to the primary so as to improve reproductive function. In the guidance of tongyuan acupuncture technique, the acupoint prescription is formed and the Chinese herbal medicines are selected in combination to improve ovarian function and regulate menstruation. Hence, the satisfactory therapeutic effects have been achieved.

  5. Model of Management (Mo.Ma) for the patient with schizophrenia: crisis control, maintenance, relapse prevention, and recovery with long-acting injectable antipsychotics (LAIs).

    PubMed

    Brugnoli, Roberto; Rapinesi, Chiara; Kotzalidis, Georgios D; Marcellusi, Andrea; Mennini, Francesco S; De Filippis, Sergio; Carrus, Dario; Ballerini, Andrea; Francomano, Antonio; Ducci, Giuseppe; Del Casale, Antonio; Girardi, Paolo

    2016-01-01

    Schizophrenia is a severe mental disease that affects approximately 1% of the population with a relevant chronic impact on social and occupational functioning and daily activities. People with schizophrenia are 2-2.5 times more likely to die early than the general population. Non-adherence to antipsychotic medications, both in chronic and first episode schizophrenia, is one of the most important risk factors for relapse and hospitalization, that consequently contributes to increased costs due to psychiatric hospitalization. Atypical long-acting injectable (LAI) antipsychotics can improve treatment adherence and decrease re-hospitalization rates in patients with schizophrenia since its onset. The primary goals in the management of schizophrenia are directed not only at symptom reduction in the short and long term, but also at maintaining physical and mental functioning, improving quality of life, and promoting patient recovery. To propose a scientific evidence-based integrated model that provides an algorithm for recovery of patients with schizophrenia and to investigate the effectiveness and safety of antipsychotics LAI in the treatment, maintenance, relapse prevention, and recovery of schizophrenia. After an accurate literature review we identified, collected and analyzed the crucial points in taking care schizophrenia patients, through which we defined the steps described in the model of management and the choice of the better treatment option. Results. In the management model we propose, the choice of a second generation long acting antipsychotic, could allow from the earliest stages of illness better patient management, especially for young individuals with schizophrenia onset, a better recovery and significant reductions of relapse and health care costs. LAI formulations of antipsychotics are valuable, because they help patients to remain adherent to their medication through regular contact with healthcare professionals and to prevent covert non-adherence. The

  6. Comparison of satellite-derived LAI and precipitation anomalies over Brazil with a thermal infrared-based Evaporative Stress Index for 2003-2013

    USDA-ARS?s Scientific Manuscript database

    Shortwave vegetation index (VI) and leaf area index (LAI) remote sensing products yield inconsistent depictions of biophysical response to drought and pluvial events that have occurred in Brazil over the past decade. Conflicting reports of severity of drought impacts on vegetation health and funct...

  7. Perioperative hypoxemia is common with horizontal positioning during general anesthesia and is associated with major adverse outcomes: a retrospective study of consecutive patients

    PubMed Central

    2014-01-01

    Background Reported perioperative pulmonary aspiration (POPA) rates have substantial variation. Perioperative hypoxemia (POH), a manifestation of POPA, has been infrequently studied beyond the PACU, for patients undergoing a diverse array of surgical procedures. Methods Consecutive adult patients with ASA I-IV and pre-operative pulmonary stability who underwent a surgical procedure requiring general anesthesia were investigated. Using pulse oximetry, POH was documented in the operating room and during the 48 hours following PACU discharge. POPA was the presence of an acute pulmonary infiltrate with POH. Results The 500 consecutive, eligible patients had operative body-positions of prone 13%, decubitus 8%, sitting 1%, and supine/lithotomy 78%, with standard practice of horizontal recumbency. POH was found in 150 (30%) patients. Post-operative stay with POH was 3.7 ± 4.7 days and without POH was 1.7 ± 2.3 days (p < 0.0001). POH rate varied from 14% to 58% among 11 of 12 operative procedure-categories. Conditions independently associated with POH (p < 0.05) were acute trauma, BMI, ASA level, glycopyrrolate administration, and duration of surgery. POPA occurred in 24 (4.8%) patients with higher mortality (8.3%), when compared to no POPA (0.2%; p = 0.0065). Post-operative stay was greater with POPA (7.7 ± 5.7 days), when compared to no POPA (2.0 ± 2.9 days; p = 0.0001). Conditions independently associated with POPA (p < 0.05) were cranial procedure, ASA level, and duration of surgery. POPA, acute trauma, duration of surgery, and inability to extubate in the OR were independently associated with post-operative stay (p < 0.05). POH, gastric dysmotility, acute trauma, cranial procedure, emergency procedure, and duration of surgery had independent correlations with post-operative length of stay (p < 0.05). Conclusions Adult surgical patients undergoing general anesthesia with horizontal recumbency have substantial POH and

  8. 77 FR 15260 - Safety Zone; San Francisco Fireworks Display, San Francisco, CA

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-03-15

    ... Zone; San Francisco Fireworks Display, San Francisco, CA AGENCY: Coast Guard, DHS. ACTION: Notice of... Fireworks Display in the Captain of the Port, San Francisco area of responsibility during the dates and... hazards associated with the fireworks display. During the enforcement period, unauthorized persons or...

  9. [Construction of the eukaryotic recombinant vector and expression of the outer membrane protein LipL32 gene from Leptospira serovar Lai].

    PubMed

    Huang, Bi; Bao, Lang; Zhong, Qi; Shang, Zheng-ling; Zhang, Hui-dong; Zhang, Ying

    2008-02-01

    To construct the eukaryotic experssion vector of LipL32 gene from Leptospira serovar Lai and express the recombinant plasmid in COS-7 cell. The LipL32 gene was amplified from Leptospira strain 017 genomic DNA by PCR and cloned into pcDNA3.1, through restriction nuclease enzyme digestion. Then the recombinant plasmid was transformed into E.coli DH5alpha. After identified by nuclease digestion, PCR and sequencing analysis, the recombinant vector was transfected into COS-7 cell with lipsome. The expression of the target gene was detected by RT-PCR and Western blot. The eukaryotic experssion vector pcDNA3.1-LipL32 was successfully constructed and stably expressed in COS-7 cell. The eukaryotic recombinant vector of outer membrane protein LipL32 gene from Leptospira serovar Lai can be expressed in mammalian cell, which provides an experimental basis for the application of the Leptospira DNA vaccine.

  10. 2. Historic American Buildings Survey San Francisco Chronicle Library San ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    2. Historic American Buildings Survey San Francisco Chronicle Library San Francisco, California Year Built: 1834 Photo Taken: About 1925 VIEW FROM EAST - General Sherman Quarters, 464 Calle Principal, Monterey, Monterey County, CA

  11. The Legionella pneumophila orphan sensor kinase LqsT regulates competence and pathogen-host interactions as a component of the LAI-1 circuit.

    PubMed

    Kessler, Aline; Schell, Ursula; Sahr, Tobias; Tiaden, André; Harrison, Christopher; Buchrieser, Carmen; Hilbi, Hubert

    2013-02-01

    Legionella pneumophila is an amoeba-resistant opportunistic pathogen that performs cell-cell communication through the signalling molecule 3-hydroxypentadecane-4-one (LAI-1, Legionella autoinducer-1). The lqs (Legionella quorum sensing) gene cluster encodes the LAI-1 autoinducer synthase LqsA, the cognate sensor kinase LqsS and the response regulator LqsR. Here we show that the Lqs system includes an 'orphan' homologue of LqsS termed LqsT. Compared with wild-type L. pneumophila, strains lacking lqsT or both lqsS and lqsT show increased salt resistance, greatly enhanced natural competence for DNA acquisition and impaired uptake by phagocytes. Sensitive novel single round growth assays and competition experiments using Acanthamoeba castellanii revealed that ΔlqsT and ΔlqsS-ΔlqsT, as well as ΔlqsA and other lqs mutant strains are impaired for intracellular growth and cannot compete against wild-type bacteria upon co-infection. In contrast to the ΔlqsS strain, ΔlqsT does not produce extracellular filaments. The phenotypes of the ΔlqsS-ΔlqsT strain are partially complemented by either lqsT or lqsS, but are not reversed by overexpression of lqsA, suggesting that LqsT and LqsS are the sole LAI-1-responsive sensor kinases in L. pneumophila. In agreement with the different phenotypes of the ΔlqsT and ΔlqsS strains, lqsT and lqsS are differentially expressed in the post-exponential growth phase, and transcriptome studies indicated that 90% of the genes, which are downregulated in absence of lqsT, are upregulated in absence of lqsS. Reciprocally regulated genes encode components of a 133 kb genomic 'fitness island' or translocated effector proteins implicated in virulence. Together, these results reveal a unique organization of the L. pneumophila Lqs system comprising two partially antagonistic LAI-1-responsive sensor kinases, LqsT and LqsS, which regulate distinct pools of genes implicated in pathogen-host cell interactions, competence, expression of a

  12. Interactions between Cool Roofs and Urban Irrigation: Do Cooling Strategies Reduce Water Consumption in the San Francisco Bay Area?

    NASA Astrophysics Data System (ADS)

    Vahmani, P.; Jones, A. D.

    2016-12-01

    California has experienced progressive drought since 2012, with 2012-2014 constituting a nearly 10,000-year drought event, resulting in a suite of policies with the goal of reducing water consumption. At the same time, climate warming effects of accelerated urbanization along with projected global climate change raise an urgent need for sustainable mitigation and adaptation strategies to cool urban climates. In this study, for the first time, we assess the overarching benefits of cooling strategies on urban water consumption. We employ a satellite-supported regional climate-modeling framework over the San Francisco Bay Area to assess the effects of cool roofs on urban irrigation, a topic of increasing importance as it accounts for a significant fraction of urban water use particularly in arid and semi-arid regions. We use a suit of climatological simulations at high (1.5 km) spatial resolution, based on a Weather Research and Forecasting (WRF)-Urban Canopy Model (UCM) modeling framework, reinforced with remotely sensed observations of Green Vegetation Fraction (GVF), leaf area index (LAI), and albedo. Our analysis shows that widespread incorporation of cool roofs would result in a mean daytime cooling of about 0.7° C, which in turn results in roughly 4% reduction in irrigation water, largely due to decreases in surface evapotranspiration rates. We further investigate the critical interactions between cool roofs, wind, and sea-breeze patterns as well as fog formation, a dominant weather pattern in San Francisco Bay area.

  13. 76 FR 55796 - Safety Zone; TriRock Triathlon, San Diego Bay, San Diego, CA

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-09-09

    ...-AA00 Safety Zone; TriRock Triathlon, San Diego Bay, San Diego, CA AGENCY: Coast Guard, DHS. ACTION.... Basis and Purpose Competitor Group is sponsoring the TriRock Triathlon, consisting of 2000 swimmers.... 165.T11-431 to read as follows: Sec. 165.T11-431 Safety Zone; TriRock Triathlon, San Diego Bay, San...

  14. San Marco-C Explorer

    NASA Technical Reports Server (NTRS)

    1971-01-01

    On or about 24 April 1971, the San Marco-C spacecraft will be launched from the San Marco Range located off the coast of Kenya, Africa, by a Scout launch vehicle. The launch will be conducted by an Italian crew. The San Marco-C is the third cooperative satellite project between Italy and the United States. The first such cooperative project resulted in the San Marco-1 satellite which was launched into orbit from the Wallops Island Range with a Scout vehicle on 15 December 1964. The successful launch demonstrated the readiness of the Italian Centro Ricerche Aerospaziuli (CRA) launch crews to launch the Scout vehicle and qualified the basic spacecraft design. The second in the series of cooperative satellite launches was the San Marco-II which was successfully launched into orbit from the San Marco Range on 26 April 1967. This was the first Scout launch from the San Marco Range. The San Marco-II carried the same accelerometer as San Marco-1, but the orbit permitted the air drag to be studied in detail in the equatorial region. The successful launch also served to qualify the San Marco Range as a reliable facility for future satellite launches, and has since been used for the successful launch of SAS-A (Explorer 42). This cooperative project has been implemented jointly by the Italian Space Commission and NASA. The CRA provided the spacecraft, its subsystems, and an air drag balance; Goddard Space Flight Center (GSFC) provided an omegatron and a neutral mass spectrometer, technical consultation and support. In addition, NASA provided the Scout launch vehicle. The primary scientific objective of the San Marco-C is to obtain, by measurement, a description of the equatorial neutral-particle atmosphere in terms of its density, com- position, and temperature at altitudes of 200 km and above, and to obtain a description of variations that result from solar and geomagnetic activities. The secondary scientific objective is to investigate the interdependence of three neutral

  15. Comparison of regression and geostatistical methods for mapping Leaf Area Index (LAI) with Landsat ETM+ data over a boreal forest.

    Treesearch

    Mercedes Berterretche; Andrew T. Hudak; Warren B. Cohen; Thomas K. Maiersperger; Stith T. Gower; Jennifer Dungan

    2005-01-01

    This study compared aspatial and spatial methods of using remote sensing and field data to predict maximum growing season leaf area index (LAI) maps in a boreal forest in Manitoba, Canada. The methods tested were orthogonal regression analysis (reduced major axis, RMA) and two geostatistical techniques: kriging with an external drift (KED) and sequential Gaussian...

  16. California coastal processes study: Skylab. [San Pablo and San Francisco Bays

    NASA Technical Reports Server (NTRS)

    Pirie, D. M.; Steller, D. D. (Principal Investigator)

    1975-01-01

    The author has identified the following significant results. In San Pablo Bay, the patterns of dredged sediment discharges were plotted over a three month period. It was found that lithogenous particles, kept in suspension by the fresh water from the Sacramento-San Joaquin, were transported downstream to the estuarine area at varying rates depending on the river discharge level. Skylab collected California coastal imagery at limited times and not at constant intervals. Resolution, however, helped compensate for lack of coverage. Increased spatial and spectral resolution provided details not possible utilizing Landsat imagery. The S-192 data was reformatted; band by band image density stretching was utilized to enhance sediment discharge patterns entrainment, boundaries, and eddys. The 26 January 1974 Skylab 4 imagery of San Francisco Bay was taken during an exceptionally high fresh water and suspended sediment discharge period. A three pronged surface sediment pattern was visible where the Sacramento-San Joaquin Rivers entered San Pablo Bay through Carquinez Strait.

  17. Aerial photo of San Bernadina and San Gabriel mountains

    NASA Image and Video Library

    2000-02-04

    JSC2000E01553 (January 2000) --- This USGS elevation model showing increasing elevation as increasing brightness is included here for comparison purposes with the high-resolution topographic elevation map image in E01554. Both images depict the San Bernadino and San Gabriel Mountains in California, north of Los Angeles.

  18. 78 FR 20792 - Safety Zone; San Francisco Giants Fireworks Display, San Francisco, CA

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-04-08

    ... Zone; San Francisco Giants Fireworks Display, San Francisco, CA AGENCY: Coast Guard, DHS. ACTION... Francisco Giants Fireworks Display in the Captain of the Port, San Francisco area of responsibility during... public from the hazards associated with the fireworks display. During the enforcement period...

  19. 77 FR 28771 - Safety Zone; San Francisco Giants Fireworks Display, San Francisco, CA

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-05-16

    ... Zone; San Francisco Giants Fireworks Display, San Francisco, CA AGENCY: Coast Guard, DHS. ACTION... Francisco Giants Fireworks Display in the Captain of the Port, San Francisco area of responsibility during... public from the hazards associated with the fireworks display. During the enforcement period...

  20. 33 CFR 165.1102 - Security Zone; Naval Base Point Loma; San Diego Bay, San Diego, CA.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... Loma; San Diego Bay, San Diego, CA. 165.1102 Section 165.1102 Navigation and Navigable Waters COAST... Guard District § 165.1102 Security Zone; Naval Base Point Loma; San Diego Bay, San Diego, CA. (a) Location. The following area is a security zone: The water adjacent to the Naval Base Point Loma, San Diego...

  1. 33 CFR 165.1102 - Security Zone; Naval Base Point Loma; San Diego Bay, San Diego, CA.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... Loma; San Diego Bay, San Diego, CA. 165.1102 Section 165.1102 Navigation and Navigable Waters COAST... Guard District § 165.1102 Security Zone; Naval Base Point Loma; San Diego Bay, San Diego, CA. (a) Location. The following area is a security zone: The water adjacent to the Naval Base Point Loma, San Diego...

  2. 33 CFR 165.1102 - Security Zone; Naval Base Point Loma; San Diego Bay, San Diego, CA.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... Loma; San Diego Bay, San Diego, CA. 165.1102 Section 165.1102 Navigation and Navigable Waters COAST... Guard District § 165.1102 Security Zone; Naval Base Point Loma; San Diego Bay, San Diego, CA. (a) Location. The following area is a security zone: The water adjacent to the Naval Base Point Loma, San Diego...

  3. 3. Historic American Buildings Survey San Francisco Examiner Library San ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    3. Historic American Buildings Survey San Francisco Examiner Library San Francisco, California Photo Taken: About 1910 (From 'The Sperry Family' - Page 17) VIEW FROM NORTHEAST - First Theatre in California, Southwest corner of Pacific & Scott Streets, Monterey, Monterey County, CA

  4. 76 FR 1386 - Safety Zone; Centennial of Naval Aviation Kickoff, San Diego Bay, San Diego, CA

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-01-10

    ...-AA00 Safety Zone; Centennial of Naval Aviation Kickoff, San Diego Bay, San Diego, CA AGENCY: Coast... zone on the navigable waters of San Diego Bay in San Diego, CA in support of the Centennial of Naval... February 12, 2010, the Centennial of Naval Aviation Kickoff will take place in San Diego Bay. In support of...

  5. Effect of prophylactic topical hypotensive medications in reducing the incidence of postoperative ocular hypertension after phacoemulsification in dogs.

    PubMed

    Dees, D Dustin; Spahn, Kate J; Wagner, Lynsey Smith; Greller, Andrew; Paglia, Danielle; Armour, Micki D; Madsen, Richard

    2017-11-01

    To determine whether topical hypotensive medications prevent postoperative ocular hypertension (POH) after phacoemulsification. 52 client-owned dogs (88 eyes). Diabetic and nondiabetic dogs having undergone phacoemulsification were included in this retrospective study. The control group received no ocular hypotensive medications. The treatment groups received latanoprost, dorzolamide, or dorzolamide/timolol, beginning immediately after surgery, for 2-week duration. IOPs were obtained at initial examination followed by 4 h, 24 h, 7 days, and 14 days postoperatively. POH was defined as an IOP above 20 mmHg (POH20) or 25 mmHg (POH25). POH20 occurred in 33 of 87 eyes (37.93%), including 11 of 21 eyes (52.38%) in the control group, three of 23 eyes (13.04%) in the latanoprost group, eight of 15 eyes (53.33%) in the dorzolamide group, and 11 of 28 eyes (39.29%) in the dorzolamide/timolol group. Active treatment groups were compared to the control group, and the overall group effect was not significant (P = 0.11). POH25 occurred in 22 of 86 eyes (25.58%), including seven of 21 eyes (33.33%) in the control group, two of 23 eyes (8.70%) in the latanoprost group, five of 15 eyes (33.33%) in the dorzolamide group, and eight of 27 eyes (29.63%) in the dorzolamide/timolol group. Active treatment groups were compared to the control group, and the overall group effect was not significant (P = 0.31). Intraoperative use of intracameral tissue plasminogen activator significantly decreased the chances of POH25 (P = 0.0063). The latanoprost group had a substantially lower percentage of POH 20 and POH25 compared to the control and other active treatment groups, although statistical significance was not achieved. Intraoperative intracameral tissue plasminogen activator decreased the incidence of POH25. © 2017 American College of Veterinary Ophthalmologists.

  6. Vertical tectonic deformation associated with the San Andreas fault zone offshore of San Francisco, California

    USGS Publications Warehouse

    Ryan, H.F.; Parsons, T.; Sliter, R.W.

    2008-01-01

    A new fault map of the shelf offshore of San Francisco, California shows that faulting occurs as a distributed shear zone that involves many fault strands with the principal displacement taken up by the San Andreas fault and the eastern strand of the San Gregorio fault zone. Structures associated with the offshore faulting show compressive deformation near where the San Andreas fault goes offshore, but deformation becomes extensional several km to the north off of the Golden Gate. Our new fault map serves as the basis for a 3-D finite element model that shows that the block between the San Andreas and San Gregorio fault zone is subsiding at a long-term rate of about 0.2-0.3??mm/yr, with the maximum subsidence occurring northwest of the Golden Gate in the area of a mapped transtensional basin. Although the long-term rates of vertical displacement primarily show subsidence, the model of coseismic deformation associated with the 1906 San Francisco earthquake indicates that uplift on the order of 10-15??cm occurred in the block northeast of the San Andreas fault. Since 1906, 5-6??cm of regional subsidence has occurred in that block. One implication of our model is that the transfer of slip from the San Andreas fault to a fault 5??km to the east, the Golden Gate fault, is not required for the area offshore of San Francisco to be in extension. This has implications for both the deposition of thick Pliocene-Pleistocene sediments (the Merced Formation) observed east of the San Andreas fault, and the age of the Peninsula segment of the San Andreas fault.

  7. An empirical inferential method of estimating nitrogen deposition to Mediterranean-type ecosystems: the San Bernardino Mountains case study.

    PubMed

    Bytnerowicz, A; Johnson, R F; Zhang, L; Jenerette, G D; Fenn, M E; Schilling, S L; Gonzalez-Fernandez, I

    2015-08-01

    The empirical inferential method (EIM) allows for spatially and temporally-dense estimates of atmospheric nitrogen (N) deposition to Mediterranean ecosystems. This method, set within a GIS platform, is based on ambient concentrations of NH3, NO, NO2 and HNO3; surface conductance of NH4(+) and NO3(-); stomatal conductance of NH3, NO, NO2 and HNO3; and satellite-derived LAI. Estimated deposition is based on data collected during 2002-2006 in the San Bernardino Mountains (SBM) of southern California. Approximately 2/3 of dry N deposition was to plant surfaces and 1/3 as stomatal uptake. Summer-season N deposition ranged from <3 kg ha(-1) in the eastern SBM to ∼ 60 kg ha(-1) in the western SBM near the Los Angeles Basin and compared well with the throughfall and big-leaf micrometeorological inferential methods. Extrapolating summertime N deposition estimates to annual values showed large areas of the SBM exceeding critical loads for nutrient N in chaparral and mixed conifer forests. Published by Elsevier Ltd.

  8. San Marino.

    PubMed

    1985-02-01

    San Marino, an independent republic located in north central Italy, in 1983 had a population of 22,206 growing at an annual rate of .9%. The literacy rate is 97% and the infant mortality rate is 9.6/1000. The terrain is mountainous and the climate is moderate. According to local tradition, San Marino was founded by a Christian stonecutter in the 4th century A.D. as a refuge against religious persecution. Its recorded history began in the 9th century, and it has survived assaults on its independence by the papacy, the Malatesta lords of Rimini, Cesare Borgia, Napoleon, and Mussolini. An 1862 treaty with the newly formed Kingdom of Italy has been periodically renewed and amended. The present government is an alliance between the socialists and communists. San Marino has had its own statutes and governmental institutions since the 11th century. Legislative authority at present is vested in a 60-member unicameral parliament. Executive authority is exercised by the 11-member Congress of State, the members of which head the various administrative departments of the goverment. The posts are divided among the parties which form the coalition government. Judicial authority is partly exercised by Italian magistrates in civil and criminal cases. San Marino's policies are tied to Italy's and political organizations and labor unions active in Italy are also active in San Marino. Since World War II, there has been intense rivalry between 2 political coalitions, the Popular Alliance composed of the Christian Democratic Party and the Independent Social Democratic Party, and the Liberty Committee, coalition of the Communist Party and the Socialist Party. San Marino's gross domestic product was $137 million and its per capita income was $6290 in 1980. The principal economic activities are farming and livestock raising, along with some light manufacturing. Foreign transactions are dominated by tourism. The government derives most of its revenue from the sale of postage stamps to

  9. Abrupt along-strike change in tectonic style: San Andreas fault zone, San Francisco Peninsula

    USGS Publications Warehouse

    Zoback, M.L.; Jachens, R.C.; Olson, J.A.

    1999-01-01

    Seismicity and high-resolution aeromagnetic data are used to define an abrupt change from compressional to extensional tectonism within a 10- to 15-km-wide zone along the San Andreas fault on the San Francisco Peninsula and offshore from the Golden Gate. This 100-km-long section of the San Andreas fault includes the hypocenter of the Mw = 7.8 1906 San Francisco earthquake as well as the highest level of persistent microseismicity along that ???470-km-long rupture. We define two distinct zones of deformation along this stretch of the fault using well-constrained relocations of all post-1969 earthquakes based a joint one-dimensional velocity/hypocenter inversion and a redetermination of focal mechanisms. The southern zone is characterized by thrust- and reverse-faulting focal mechanisms with NE trending P axes that indicate "fault-normal" compression in 7- to 10-km-wide zones of deformation on both sides of the San Andreas fault. A 1- to 2-km-wide vertical zone beneath the surface trace of the San Andreas is characterized by its almost complete lack of seismicity. The compressional deformation is consistent with the young, high topography of the Santa Cruz Mountains/Coast Ranges as the San Andreas fault makes a broad restraining left bend (???10??) through the southernmost peninsula. A zone of seismic quiescence ???15 km long separates this compressional zone to the south from a zone of combined normal-faulting and strike-slip-faulting focal mechanisms (including a ML = 5.3 earthquake in 1957) on the northernmost peninsula and offshore on the Golden Gate platform. Both linear pseudo-gravity gradients, calculated from the aeromagnetic data, and seismic reflection data indicate that the San Andreas fault makes an abrupt ???3-km right step less than 5 km offshore in this northern zone. A similar right-stepping (dilatational) geometry is also observed for the subparallel San Gregorio fault offshore. Persistent seismicity and extensional tectonism occur within the San

  10. Predictors of patients who will develop prolonged occult hypoperfusion following blunt trauma.

    PubMed

    Schulman, Andrew M; Claridge, Jeffrey A; Carr, Gordon; Diesen, Diana L; Young, Jeffrey S

    2004-10-01

    Prolonged occult hypoperfusion or POH (serum lactate >2.4 mmol/L persisting >12 hours from admission) represents a reversible risk factor for adverse outcomes following traumatic injury. We hypothesized that patients at increased risk for POH could be identified at the time of admission. Prospective data from adult trauma admissions between January 1, 1998 and December 31, 2000 were analyzed. Potential risk factors for POH were determined by univariate analysis (p < or =0.10= significant). Significant factors were tested in a logistic regression model (LR) (p < or =0.05= significant). The predictive ability of the LR was tested by receiver operating curve (ROC) analysis (p < or =0.05= significant). Three hundred seventy-eight patients were analyzed, 129 with POH. Injury Severity Score (ISS), emergency department Glasgow Coma Scale score, hypotension, and the individual Abbreviated Injury Scale score (AIS) for Head (H), Abdominal/Pelvic Viscera (A) and Pelvis/Bony Extremity (P) were significantly associated with POH. LR demonstrated that ISS, A-AIS > or =3 and P-AIS > or =3 were independent predictors of POH (p <0.05). ROC analysis of the LR equation was statistically significant (Area=0.69, p <0.001). We identified factors at admission that placed patients at higher risk for developing POH. Select patients may benefit from rapid, aggressive monitoring and resuscitation, possibly preventing POH and its associated morbidity and mortality.

  11. A Comparison of Simulated and Field-Derived Leaf Area Index (LAI) and Canopy Height Values from Four Forest Complexes in the Southeastern USA

    EPA Science Inventory

    Vegetative leaf area is a critical input to models that simulate human and ecosystem exposure to atmospheric pollutants. Leaf area index (LAI) can be measured in the field or numerically simulated, but all contain some inherent uncertainty that is passed to the exposure assessmen...

  12. 76 FR 75908 - Notice of Inventory Completion: The University of California, San Diego, San Diego, CA

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-12-05

    ... University of California, San Diego, San Diego, CA AGENCY: National Park Service, Interior. ACTION: Notice. SUMMARY: The Regents of the University of California on behalf of the University of California, San Diego... culturally affiliated with the human remains may contact the University of California, San Diego. Disposition...

  13. 77 FR 34988 - Notice of Inventory Completion: San Diego State University, San Diego, CA

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-06-12

    ... State University appears to have been collected from back dirt by an unknown student and brought back to... Inventory Completion: San Diego State University, San Diego, CA AGENCY: National Park Service, Interior. ACTION: Notice. SUMMARY: San Diego State University Archeology Collections Management Program has...

  14. Underwater gravity meter survey of San Francisco and San Pablo bays, California, 1982

    USGS Publications Warehouse

    Childs, Jonathan R.; Beyer, L.A.; McCulloch, D.S.; McHendrie, G.A.; Steele, W.C.

    1983-01-01

    Seafloor gravity measurements were made at 281 bottom stations in San Francisco and San Pablo Bays, California, on a series of lines oriented approximately NNE.. Line spacing was approximately 2.8 km and stations along the lines mere spaced 0.5 to 1.5 km apart, between 0.5 and 1.5 km perpendicular to the axis. Sample Bouguer anomalies in the San Francisco Bay range from -15 to +15 mGals (?0.1 mgal), while anomalies in the San Pablo Bay are consistently negative, ranging from +4.0 to -40.0 mGal (?0.2 mGal).

  15. 78 FR 38584 - Safety Zone; San Diego Symphony Summer POPS Fireworks 2013 Season, San Diego, CA

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-06-27

    ... 1625-AA00 Safety Zone; San Diego Symphony Summer POPS Fireworks 2013 Season, San Diego, CA AGENCY... on the navigable waters of San Diego Bay in support of the San Diego Symphony Summer POPS Fireworks... Diego, Coast Guard; telephone 619-278-7656, email [email protected] . If you have...

  16. 33 CFR 165.1141 - Safety Zone; San Clemente 3 NM Safety Zone, San Clemente Island, CA.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... Guard District § 165.1141 Safety Zone; San Clemente 3 NM Safety Zone, San Clemente Island, CA. (a) Location. The following area is a safety zone: All waters of the Pacific Ocean surrounding San Clemente... Safety Zone, San Clemente Island, CA. 165.1141 Section 165.1141 Navigation and Navigable Waters COAST...

  17. 33 CFR 165.1141 - Safety Zone; San Clemente 3 NM Safety Zone, San Clemente Island, CA.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... Guard District § 165.1141 Safety Zone; San Clemente 3 NM Safety Zone, San Clemente Island, CA. (a) Location. The following area is a safety zone: All waters of the Pacific Ocean surrounding San Clemente... Safety Zone, San Clemente Island, CA. 165.1141 Section 165.1141 Navigation and Navigable Waters COAST...

  18. 33 CFR 165.1141 - Safety Zone; San Clemente 3 NM Safety Zone, San Clemente Island, CA.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... Guard District § 165.1141 Safety Zone; San Clemente 3 NM Safety Zone, San Clemente Island, CA. (a) Location. The following area is a safety zone: All waters of the Pacific Ocean surrounding San Clemente... Safety Zone, San Clemente Island, CA. 165.1141 Section 165.1141 Navigation and Navigable Waters COAST...

  19. 33 CFR 165.1141 - Safety Zone; San Clemente 3 NM Safety Zone, San Clemente Island, CA.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... Guard District § 165.1141 Safety Zone; San Clemente 3 NM Safety Zone, San Clemente Island, CA. (a) Location. The following area is a safety zone: All waters of the Pacific Ocean surrounding San Clemente... Safety Zone, San Clemente Island, CA. 165.1141 Section 165.1141 Navigation and Navigable Waters COAST...

  20. 33 CFR 165.1141 - Safety Zone; San Clemente 3 NM Safety Zone, San Clemente Island, CA.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... Guard District § 165.1141 Safety Zone; San Clemente 3 NM Safety Zone, San Clemente Island, CA. (a) Location. The following area is a safety zone: All waters of the Pacific Ocean surrounding San Clemente... Safety Zone, San Clemente Island, CA. 165.1141 Section 165.1141 Navigation and Navigable Waters COAST...

  1. 33 CFR 165.776 - Security Zone; Coast Guard Base San Juan, San Juan Harbor, Puerto Rico

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... 33 Navigation and Navigable Waters 2 2012-07-01 2012-07-01 false Security Zone; Coast Guard Base San Juan, San Juan Harbor, Puerto Rico 165.776 Section 165.776 Navigation and Navigable Waters COAST... Guard District § 165.776 Security Zone; Coast Guard Base San Juan, San Juan Harbor, Puerto Rico (a...

  2. 33 CFR 165.776 - Security Zone; Coast Guard Base San Juan, San Juan Harbor, Puerto Rico

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... 33 Navigation and Navigable Waters 2 2011-07-01 2011-07-01 false Security Zone; Coast Guard Base San Juan, San Juan Harbor, Puerto Rico 165.776 Section 165.776 Navigation and Navigable Waters COAST... Guard District § 165.776 Security Zone; Coast Guard Base San Juan, San Juan Harbor, Puerto Rico (a...

  3. 33 CFR 165.776 - Security Zone; Coast Guard Base San Juan, San Juan Harbor, Puerto Rico.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... 33 Navigation and Navigable Waters 2 2013-07-01 2013-07-01 false Security Zone; Coast Guard Base San Juan, San Juan Harbor, Puerto Rico. 165.776 Section 165.776 Navigation and Navigable Waters COAST... Guard District § 165.776 Security Zone; Coast Guard Base San Juan, San Juan Harbor, Puerto Rico. (a...

  4. 33 CFR 165.776 - Security Zone; Coast Guard Base San Juan, San Juan Harbor, Puerto Rico.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... 33 Navigation and Navigable Waters 2 2014-07-01 2014-07-01 false Security Zone; Coast Guard Base San Juan, San Juan Harbor, Puerto Rico. 165.776 Section 165.776 Navigation and Navigable Waters COAST... Guard District § 165.776 Security Zone; Coast Guard Base San Juan, San Juan Harbor, Puerto Rico. (a...

  5. Expression and characterization of an iron-regulated hemin-binding protein, HbpA, from Leptospira interrogans serovar Lai.

    PubMed

    Asuthkar, Swapna; Velineni, Sridhar; Stadlmann, Johannes; Altmann, Friedrich; Sritharan, Manjula

    2007-09-01

    In an earlier study, based on the ferric enterobactin receptor FepA of Escherichia coli, we identified and modeled a TonB-dependent outer membrane receptor protein (LB191) from the genome of Leptospira interrogans serovar Lai. Based on in silico analysis, we hypothesized that this protein was an iron-dependent hemin-binding protein. In this study, we provide experimental evidence to prove that this protein, termed HbpA (hemin-binding protein A), is indeed an iron-regulated hemin-binding protein. We cloned and expressed the full-length 81-kDa recombinant rHbpA protein and a truncated 55-kDa protein from L. interrogans serovar Lai, both of which bind hemin-agarose. Assay of hemin-associated peroxidase activity and spectrofluorimetric analysis provided confirmatory evidence of hemin binding by HbpA. Immunofluorescence studies by confocal microscopy and the microscopic agglutination test demonstrated the surface localization and the iron-regulated expression of HbpA in L. interrogans. Southern blot analysis confirmed our earlier observation that the hbpA gene was present only in some of the pathogenic serovars and was absent in Leptospira biflexa. Hemin-agarose affinity studies showed another hemin-binding protein with a molecular mass of approximately 44 kDa, whose expression was independent of iron levels. This protein was seen in several serovars, including nonpathogenic L. biflexa. Sequence analysis and immunoreactivity with specific antibodies showed this protein to be LipL41.

  6. 33 CFR 110.224 - San Francisco Bay, San Pablo Bay, Carquinez Strait, Suisun Bay, Sacramento River, San Joaquin...

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... Bay, Sacramento River, San Joaquin River, and connecting waters, CA. (a) General regulations. (1..., Carquinez Strait, Suisun Bay, Sacramento River, San Joaquin River, and connecting waters, CA. 110.224... notified to move by the Captain of the Port. (4) No vessel may anchor within a tunnel, cable, or pipeline...

  7. 33 CFR 110.224 - San Francisco Bay, San Pablo Bay, Carquinez Strait, Suisun Bay, Sacramento River, San Joaquin...

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... Bay, Sacramento River, San Joaquin River, and connecting waters, CA. (a) General regulations. (1..., Carquinez Strait, Suisun Bay, Sacramento River, San Joaquin River, and connecting waters, CA. 110.224... notified to move by the Captain of the Port. (4) No vessel may anchor within a tunnel, cable, or pipeline...

  8. 33 CFR 110.224 - San Francisco Bay, San Pablo Bay, Carquinez Strait, Suisun Bay, Sacramento River, San Joaquin...

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... Bay, Sacramento River, San Joaquin River, and connecting waters, CA. (a) General regulations. (1..., Carquinez Strait, Suisun Bay, Sacramento River, San Joaquin River, and connecting waters, CA. 110.224... notified to move by the Captain of the Port. (4) No vessel may anchor within a tunnel, cable, or pipeline...

  9. 75 FR 39166 - Safety Zone; San Francisco Giants Baseball Game Promotion, San Francisco, CA

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-07-08

    ...-AA00 Safety Zone; San Francisco Giants Baseball Game Promotion, San Francisco, CA AGENCY: Coast Guard... Francisco Giants Baseball Game Promotion. This safety zone is established to ensure the safety of... Game Promotion on July 16, 2010, on the navigable waters of McCovey Cove, in San Francisco Bay, off of...

  10. Polycyclic aromatic hydrocarbon-induced CYP1B1 activity is suppressed by perillyl alcohol in MCF-7 cells

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

    Chan, Nelson L.S.; Wang Huan; Wang Yun

    2006-06-01

    Perillyl alcohol (POH) is a dietary monoterpene with potential applications in chemoprevention and chemotherapy. Although clinical trials are under way, POH's physiological and pharmacological properties are still unclear. In the present study, the effect of POH on polycyclic aromatic hydrocarbon (PAH)-induced genotoxicity, and the related expression were examined in MCF-7 cells. Exposure to environmental toxicant increases the risk of cancer. Many of these compounds are pro-carcinogens and are biotransformed into their ultimate genotoxic structures by xenobiotic metabolizing enzymes. CYP1A1 and 1B1 are enzymes that catalyze the biotransformation of dimethylbenz[a]anthracene (DMBA). Our data revealed that 0.5 {mu}M of POH was effectivemore » in blocking DMBA-DNA binding. Ethoxyresorufin-O-deethylase (EROD) assay indicated that the administration of POH inhibited the DMBA-induced enzyme activity in MCF-7 cells. Enzyme kinetic analysis revealed that POH inhibited CYP1B1 but not CYP1A1 activity. Quantitative reverse transcriptase-polymerase chain reaction (RT-PCR) assay also demonstrated that the monoterpene reduced CYP1B1 mRNA abundance induced by DMBA. The present study illustrated that POH might inhibit and downregulate CYP1B1, which could protect against PAH-induced carcinogenesis.« less

  11. Polycyclic aromatic hydrocarbon-induced CYP1B1 activity is suppressed by perillyl alcohol in MCF-7 cells.

    PubMed

    Chan, Nelson L S; Wang, Huan; Wang, Yun; Leung, Hau Yi; Leung, Lai K

    2006-06-01

    Perillyl alcohol (POH) is a dietary monoterpene with potential applications in chemoprevention and chemotherapy. Although clinical trials are under way, POH's physiological and pharmacological properties are still unclear. In the present study, the effect of POH on polycyclic aromatic hydrocarbon (PAH)-induced genotoxicity, and the related expression were examined in MCF-7 cells. Exposure to environmental toxicant increases the risk of cancer. Many of these compounds are pro-carcinogens and are biotransformed into their ultimate genotoxic structures by xenobiotic metabolizing enzymes. CYP1A1 and 1B1 are enzymes that catalyze the biotransformation of dimethylbenz[a]anthracene (DMBA). Our data revealed that 0.5 microM of POH was effective in blocking DMBA-DNA binding. Ethoxyresorufin-O-deethylase (EROD) assay indicated that the administration of POH inhibited the DMBA-induced enzyme activity in MCF-7 cells. Enzyme kinetic analysis revealed that POH inhibited CYP1B1 but not CYP1A1 activity. Quantitative reverse transcriptase-polymerase chain reaction (RT-PCR) assay also demonstrated that the monoterpene reduced CYP1B1 mRNA abundance induced by DMBA. The present study illustrated that POH might inhibit and downregulate CYP1B1, which could protect against PAH-induced carcinogenesis.

  12. 77 FR 70891 - Safety Zone; Bay Bridge Construction, San Francisco Bay, San Francisco, CA

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-11-28

    ...-AA00 Safety Zone; Bay Bridge Construction, San Francisco Bay, San Francisco, CA AGENCY: Coast Guard... the navigable waters of the San Francisco Bay near Yerba Buena Island, CA in support of the Bay Bridge... construction of the Bay Bridge, the safety zone is necessary to provide for the safety of mariners transiting...

  13. 77 FR 36041 - San Antonio Central Railroad, L.L.C.-Lease Exemption-Port Authority of San Antonio

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-06-15

    ... DEPARTMENT OF TRANSPORTATION Surface Transportation Board [Docket No. FD 35603] San Antonio Central Railroad, L.L.C.--Lease Exemption--Port Authority of San Antonio San Antonio Central Railroad, L.L... in Wacto Holdings, Inc.--Continuance in Control Exemption--San Antonio Central Railroad, L.L.C...

  14. 33 CFR 165.T11-630 - Safety zone; Giants Enterprises Fireworks Display, San Francisco Bay, San Francisco, CA.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... Francisco Bay, San Francisco, CA. (a) Location. This temporary safety zone is established in the navigable waters of the San Francisco Bay near Pier 48 in San Francisco, CA as depicted in National Oceanic and... Fireworks Display, San Francisco Bay, San Francisco, CA. 165.T11-630 Section 165.T11-630 Navigation and...

  15. San Marco D/L Explorer

    NASA Technical Reports Server (NTRS)

    1988-01-01

    ti March 26, 1964, Centro Ricerche Aerospaziali (CRA) successfully launched a two-stage Nike sounding rocket from the Santa Rita launch platform off the Kenya coast, concluding Phase I. It carried basic elements of the San Marco science instrumentation and served further to flight qualify these canponents as well as provide a means of check-out of range instrumentation and equipment. The second phase culminated in the launch of the San Marco-I Spacecraft fran Wallops Island on a Scout vehicle on December 15, 1964. This launch derronstrated the readiness of the CRA launch crews for Phase III operations and qualified the basic spacecraft design. In addition it confirmed the usefulness and reliability of the drag balance device for accurate determinations of air density values and satellite attitude. phase III was completed with the launching of San Marco-11 frcm the San Marco platform off the coast of Kenya on April 26, 1967. ?he San Marco-II carried the same instrunentation as the San Marco-I, but the equatorial orbit permitted a more detailed study to be made of density variations versus altitude in the equatorial region. Ihe successful launch also served to qualify the San Marco Range as a reliable facility for future satellite launches. The successful culmination of the first San Marco endeavor paved the way for still closer collaboration in future space explorations.

  16. 27 CFR 9.25 - San Pasqual Valley.

    Code of Federal Regulations, 2012 CFR

    2012-04-01

    .... They are entitled: (1) “Escondido Quadrangle, California—San Diego County”, 7.5 minute series; (2) “San Pasqual Quadrangle, California—San Diego County”, 7.5 minute series; (3) “Valley Center Quadrangle, California—San Diego County”, 7.5 minute series. (c) Boundaries. The San Pasqual Valley viticultural area is...

  17. 27 CFR 9.25 - San Pasqual Valley.

    Code of Federal Regulations, 2011 CFR

    2011-04-01

    .... They are entitled: (1) “Escondido Quadrangle, California—San Diego County”, 7.5 minute series; (2) “San Pasqual Quadrangle, California—San Diego County”, 7.5 minute series; (3) “Valley Center Quadrangle, California—San Diego County”, 7.5 minute series. (c) Boundaries. The San Pasqual Valley viticultural area is...

  18. 27 CFR 9.25 - San Pasqual Valley.

    Code of Federal Regulations, 2010 CFR

    2010-04-01

    .... They are entitled: (1) “Escondido Quadrangle, California—San Diego County”, 7.5 minute series; (2) “San Pasqual Quadrangle, California—San Diego County”, 7.5 minute series; (3) “Valley Center Quadrangle, California—San Diego County”, 7.5 minute series. (c) Boundaries. The San Pasqual Valley viticultural area is...

  19. 27 CFR 9.25 - San Pasqual Valley.

    Code of Federal Regulations, 2014 CFR

    2014-04-01

    .... They are entitled: (1) “Escondido Quadrangle, California—San Diego County”, 7.5 minute series; (2) “San Pasqual Quadrangle, California—San Diego County”, 7.5 minute series; (3) “Valley Center Quadrangle, California—San Diego County”, 7.5 minute series. (c) Boundaries. The San Pasqual Valley viticultural area is...

  20. 27 CFR 9.25 - San Pasqual Valley.

    Code of Federal Regulations, 2013 CFR

    2013-04-01

    .... They are entitled: (1) “Escondido Quadrangle, California—San Diego County”, 7.5 minute series; (2) “San Pasqual Quadrangle, California—San Diego County”, 7.5 minute series; (3) “Valley Center Quadrangle, California—San Diego County”, 7.5 minute series. (c) Boundaries. The San Pasqual Valley viticultural area is...

  1. 77 FR 46115 - Notice of Inventory Completion: San Diego Museum of Man, San Diego, CA

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-08-02

    ... Museum of Man professional staff in consultation with representatives of the Pueblo of Santa Ana, New... Inventory Completion: San Diego Museum of Man, San Diego, CA AGENCY: National Park Service, Interior. ACTION: Notice. SUMMARY: The San Diego Museum of Man has completed an inventory of human remains in consultation...

  2. 75 FR 17329 - Safety Zone; Big Bay Fourth of July Fireworks, San Diego Bay, San Diego, CA

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-04-06

    ...-AA00 Safety Zone; Big Bay Fourth of July Fireworks, San Diego Bay, San Diego, CA AGENCY: Coast Guard... safety zone on the navigable waters of the San Diego Bay in support of the Big Bay July Fourth Show to Benefit the San Diego Armed Services YMCA. This temporary safety zone is necessary to provide for the...

  3. Sediment conditions in the San Antonio River Basin downstream from San Antonio, Texas, 2000-13

    USGS Publications Warehouse

    Ockerman, Darwin J.; Banta, J. Ryan; Crow, Cassi L.; Opsahl, Stephen P.

    2015-01-01

    Sediment plays an important role in the ecological health of rivers and estuaries and consequently is an important issue for water-resource managers. To better understand sediment characteristics in the San Antonio River Basin, the U.S. Geological Survey, in cooperation with the San Antonio River Authority, completed a two-part study in the San Antonio River Basin downstream from San Antonio, Texas, to (1) collect and analyze sediment data to characterize sediment conditions and (2) develop and calibrate a watershed model to simulate hydrologic conditions and suspended-sediment loads during 2000–12.

  4. San Mateo Creek Basin

    EPA Pesticide Factsheets

    The San Mateo Creek Basin comprises approximately 321 square miles within the Rio San Jose drainage basin in McKinley and Cibola counties, New Mexico. This basin is located within the Grants Mining District (GMD).

  5. 77 FR 42638 - Safety Zone: Sea World San Diego Fireworks, Mission Bay; San Diego, CA

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-07-20

    ... 1625-AA00 Safety Zone: Sea World San Diego Fireworks, Mission Bay; San Diego, CA AGENCY: Coast Guard... navigable waters of Mission Bay in support of the Sea World San Diego Fireworks. This safety zone is..., since immediate action is needed to ensure the public's safety. B. Basis and Purpose Sea World is...

  6. 78 FR 77597 - Safety Zone; Allied PRA-Solid Works, San Diego Bay; San Diego, CA

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-12-24

    ...-AA00 Safety Zone; Allied PRA-Solid Works, San Diego Bay; San Diego, CA AGENCY: Coast Guard, DHS. ACTION... the Allied PRA--Solid Works fireworks display, which will be conducted from a barge located southwest... Works; San Diego, CA. (a) Location. The limits of the safety zone will include all the navigable waters...

  7. 78 FR 29025 - Sea World San Diego Fireworks 2013 Season; Mission Bay, San Diego, CA

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-05-17

    ...-AA00 Sea World San Diego Fireworks 2013 Season; Mission Bay, San Diego, CA AGENCY: Coast Guard, DHS... waters of Mission Bay in support of the Sea World San Diego Fireworks 2013 season. This safety zone is... Guard to establish safety zones (33 U.S.C 1221 et seq.). Sea World is sponsoring the Sea World Fireworks...

  8. 77 FR 60899 - Safety Zone; Sea World San Diego Fireworks, Mission Bay; San Diego, CA

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-10-05

    ... 1625-AA00 Safety Zone; Sea World San Diego Fireworks, Mission Bay; San Diego, CA AGENCY: Coast Guard... navigable waters of Mission Bay in support of the Sea World San Diego Fireworks. This safety zone is... zones (33 U.S.C 1221 et seq.). Sea World is sponsoring the Sea World Fireworks, which will include a...

  9. Description of gravity cores from San Pablo Bay and Carquinez Strait, San Francisco Bay, California

    USGS Publications Warehouse

    Woodrow, Donald L.; John L. Chin,; Wong, Florence L.; Fregoso, Theresa A.; Jaffe, Bruce E.

    2017-06-27

    Seventy-two gravity cores were collected by the U.S. Geological Survey in 1990, 1991, and 2000 from San Pablo Bay and Carquinez Strait, California. The gravity cores collected within San Pablo Bay contain bioturbated laminated silts and sandy clays, whole and broken bivalve shells (mostly mussels), fossil tube structures, and fine-grained plant or wood fragments. Gravity cores from the channel wall of Carquinez Strait east of San Pablo Bay consist of sand and clay layers, whole and broken bivalve shells (less than in San Pablo Bay), trace fossil tubes, and minute fragments of plant material.

  10. Validating GEOV3 LAI, FAPAR and vegetation cover estimates derived from PROBA-V observations at 333m over Europe

    NASA Astrophysics Data System (ADS)

    Camacho, Fernando; Sánchez, Jorge; Lacaze, Roselyne; Weiss, Marie; Baret, Frédéric; Verger, Aleixandre; Smets, Bruno; Latorre, Consuelo

    2016-04-01

    The Copernicus Global Land Service (http://land.copernicus.eu/global/) is delivering surface biophysical products derived from satellite observations at global scale. Fifteen years of LAI, FAPAR, and vegetation cover (FCOVER) products among other indicators have been generated from SPOT/VGT observations at 1 km spatial resolution (named GEOV1, GEOV2). The continuity of the service since the end of SPOT/VGT mission (May, 2014) is achieved thanks to PROBA-V, which offers observations at a finer spatial resolution (1/3 km). In the context of the FP7 ImagineS project (http://fp7-imagines.eu/), a new algorithm (Weiss et al., this conference), adapted to PROBA-V spectral and spatial characteristics, was designed to provide vegetation products (named GEOV3) as consistent as possible with GEOV1 and GEOV2 whilst providing near real-time estimates required by some users. It is based on neural network techniques completed with a data filtering and smoothing process. The near real-time estimates are improved through a consolidation period of six dekads during which observations are accumulated every new dekad. The validation of these products is mandatory to provide associated uncertainties for efficient use of this source of information. This work presents an early validation over Europe of the GEOV3 LAI, FAPAR and vegetation cover (FCOVER) products derived from PROBA-V observation at 333 m and 10-days frequency during the year 2014. The validation has been conducted in agreement with the CEOS LPV best practices for global LAI products. Several performance criteria were investigated for the several GEOV3 modes (near real-time, and successive consolidated estimates) including completeness, spatial and temporal consistency, precision and accuracy. The spatial and temporal consistency was evaluated using as reference PROBA-V GEOV1 and MODC5 1 km similar products using a network of 153 validation sites over Europe (EUVAL). The accuracy was assessed with concomitant data collected

  11. 77 FR 54815 - Safety Zone: America's Cup World Series Regattas, San Francisco Bay; San Francisco, CA

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-09-06

    ...-AA00 Safety Zone: America's Cup World Series Regattas, San Francisco Bay; San Francisco, CA AGENCY... the on-water activities associated with 2012 America's Cup World Series regattas scheduled for October..., the City of San Francisco plans to host two America's Cup World Series regattas as part of a circuit...

  12. 75 FR 15611 - Safety Zone; United Portuguese SES Centennial Festa, San Diego Bay, San Diego, CA

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-03-30

    ...-AA00 Safety Zone; United Portuguese SES Centennial Festa, San Diego Bay, San Diego, CA AGENCY: Coast... navigable waters of the San Diego Bay in support of the United Portuguese SES Centennial Festa. This... Centennial Festa, which will include a fireworks presentation originating from a tug and barge combination in...

  13. 33 CFR 165.1187 - Security Zones; Golden Gate Bridge and the San Francisco-Oakland Bay Bridge, San Francisco Bay...

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... Bridge and the San Francisco-Oakland Bay Bridge, San Francisco Bay, California. 165.1187 Section 165.1187... Limited Access Areas Eleventh Coast Guard District § 165.1187 Security Zones; Golden Gate Bridge and the San Francisco-Oakland Bay Bridge, San Francisco Bay, California. (a) Location. All waters extending...

  14. 33 CFR 165.1187 - Security Zones; Golden Gate Bridge and the San Francisco-Oakland Bay Bridge, San Francisco Bay...

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... Bridge and the San Francisco-Oakland Bay Bridge, San Francisco Bay, California. 165.1187 Section 165.1187... Limited Access Areas Eleventh Coast Guard District § 165.1187 Security Zones; Golden Gate Bridge and the San Francisco-Oakland Bay Bridge, San Francisco Bay, California. (a) Location. All waters extending...

  15. 33 CFR 165.1102 - Security Zone; Naval Base Point Loma; San Diego Bay, San Diego, CA.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... 33 Navigation and Navigable Waters 2 2011-07-01 2011-07-01 false Security Zone; Naval Base Point... Guard District § 165.1102 Security Zone; Naval Base Point Loma; San Diego Bay, San Diego, CA. (a) Location. The following area is a security zone: The water adjacent to the Naval Base Point Loma, San Diego...

  16. Space Radar Image of San Francisco, California

    NASA Image and Video Library

    1999-04-15

    This image of San Francisco, California shows how the radar distinguishes between densely populated urban areas and nearby areas that are relatively unsettled. Downtown San Francisco is at the center and the city of Oakland is at the right across the San Francisco Bay. Some city areas, such as the South of Market, called the SOMA district in San Francisco, appear bright red due to the alignment of streets and buildings to the incoming radar beam. Various bridges in the area are also visible including the Golden Gate Bridge (left center) at the opening of San Francisco Bay, the Bay Bridge (right center) connecting San Francisco and Oakland, and the San Mateo Bridge (bottom center). All the dark areas on the image are relatively smooth water: the Pacific Ocean to the left, San Francisco Bay in the center, and various reservoirs. Two major faults bounding the San Francisco-Oakland urban areas are visible on this image. The San Andreas fault, on the San Francisco peninsula, is seen in the lower left of the image. The fault trace is the straight feature filled with linear reservoirs which appear dark. The Hayward fault is the straight feature on the right side of the image between the urban areas and the hillier terrain to the east. The image is about 42 kilometers by 58 kilometers (26 miles by 36 miles) with north toward the upper right. This area is centered at 37.83 degrees north latitude, 122.38 degrees east longitude. http://photojournal.jpl.nasa.gov/catalog/PIA01791

  17. 75 FR 35651 - Safety Zone; San Francisco Chronicle Fireworks Display, San Francisco, CA

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-06-23

    ... DEPARTMENT OF HOMELAND SECURITY Coast Guard 33 CFR Part 165 [Docket No. USCG 2010-0367] Safety Zone; San Francisco Chronicle Fireworks Display, San Francisco, CA AGENCY: Coast Guard, DHS. ACTION: Notice of enforcement of regulation. SUMMARY: The Coast Guard will enforce the Independence Day...

  18. Incidence of Postoperative Hematomas Requiring Surgical Treatment in Neurosurgery: A Retrospective Observational Study.

    PubMed

    Lillemäe, Kadri; Järviö, Johanna Annika; Silvasti-Lundell, Marja Kaarina; Antinheimo, Jussi Juha-Pekka; Hernesniemi, Juha Antero; Niemi, Tomi Tapio

    2017-12-01

    We aimed to characterize the occurrence of postoperative hematoma (POH) after neurosurgery overall and according to procedure type and describe the prevalence of possible confounders. Patient data between 2010 and 2012 at the Department of Neurosurgery in Helsinki University Hospital were retrospectively analyzed. A data search was performed according to the type of surgery including craniotomies; shunt procedures, spine surgery, and spinal cord stimulator implantation. We analyzed basic preoperative characteristics, as well as data about the initial intervention, perioperative period, revision operation and neurologic recovery (after craniotomy only). The overall incidence of POH requiring reoperation was 0.6% (n = 56/8783) to 0.6% (n = 26/4726) after craniotomy, 0% (n = 0/928) after shunting procedure, 1.1% (n = 30/2870) after spine surgery, and 0% (n = 0/259) after implantation of a spinal cord stimulator. Craniotomy types with higher POH incidence were decompressive craniectomy (7.9%, n = 7/89), cranioplasty (3.6%, n = 4/112), bypass surgery (1.7%, n = 1/60), and epidural hematoma evacuation (1.6%, n = 1/64). After spinal surgery, POH was observed in 1.1% of cervical and 2.1% of thoracolumbar operations, whereas 46.7% were multilevel procedures. 64.3% of patients with POH and 84.6% of patients undergoing craniotomy had postoperative hypertension (systolic blood pressure >160 mm Hg or lower if indicated). Poor outcome (Glasgow Outcome Scale score 1-3), whereas death at 6 months after craniotomy was detected in 40.9% and 21.7%. respectively, of patients with POH who underwent craniotomy. POH after neurosurgery was rare in this series but was associated with poor outcome. Identification of risk factors of bleeding, and avoiding them, if possible, might decrease the incidence of POH. Copyright © 2017 Elsevier Inc. All rights reserved.

  19. Una Visita al Viejo San Juan (A Visit to Old San Juan).

    ERIC Educational Resources Information Center

    Cabello, Victor; And Others

    Written in Spanish, this black and white illustrated booklet provides a tour of Old San Juan, Puerto Rico's oldest and most historic city. Brief historical information is provided on the Perro de San Jeronimo, a statue of a barking dog found in front of the Castillo; Plaza de Colon, a small plaza dedicated to Christopher Columbus; the Catedral de…

  20. Dipping San Andreas and Hayward faults revealed beneath San Francisco Bay, California

    USGS Publications Warehouse

    Parsons, T.; Hart, P.E.

    1999-01-01

    The San Francisco Bay area is crossed by several right-lateral strike-slip faults of the San Andreas fault zone. Fault-plane reflections reveal that two of these faults, the San Andreas and Hayward, dip toward each other below seismogenic depths at 60?? and 70??, respectively, and persist to the base of the crust. Previously, a horizontal detachment linking the two faults in the lower crust beneath San Francisco Bay was proposed. The only near-vertical-incidence reflection data available prior to the most recent experiment in 1997 were recorded parallel to the major fault structures. When the new reflection data recorded orthogonal to the faults are compared with the older data, the highest, amplitude reflections show clear variations in moveout with recording azimuth. In addition, reflection times consistently increase with distance from the faults. If the reflectors were horizontal, reflection moveout would be independent of azimuth, and reflection times would be independent of distance from the faults. The best-fit solution from three-dimensional traveltime modeling is a pair of high-angle dipping surfaces. The close correspondence of these dipping structures with the San Andreas and Hayward faults leads us to conclude that they are the faults beneath seismogenic depths. If the faults retain their observed dips, they would converge into a single zone in the upper mantle -45 km beneath the surface, although we can only observe them in the crust.

  1. ASTER Images San Francisco Bay Area

    NASA Image and Video Library

    2000-04-26

    This image of the San Francisco Bay region was acquired on March 3, 2000 by the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) on NASA's Terra satellite. With its 14 spectral bands from the visible to the thermal infrared wavelength region, and its high spatial resolution of 15 to 90 meters about 50 to 300 feet ), ASTER will image Earth for the next 6 years to map and monitor the changing surface of our planet. Image: This image covers an area 60 kilometers (37 miles) wide and 75 kilometers (47 miles) long in three bands of the reflected visible and infrared wavelength region. The combination of bands portrays vegetation in red, and urban areas in gray. Sediment in the Suisun Bay, San Pablo Bay, San Francisco Bay, and the Pacific Ocean shows up as lighter shades of blue. Along the west coast of the San Francisco Peninsula, strong surf can be seen as a white fringe along the shoreline. A powerful rip tide is visible extending westward from Daly City into the Pacific Ocean. In the lower right corner, the wetlands of the South San Francisco Bay National Wildlife Refuge appear as large dark blue and brown polygons. The high spatial resolution of ASTER allows fine detail to be observed in the scene. The main bridges of the area (San Mateo, San Francisco-Oakland Bay, Golden Gate, Richmond-San Rafael, Benicia-Martinez, and Carquinez) are easily picked out, connecting the different communities in the Bay area. Shadows of the towers along the Bay Bridge can be seen over the adjacent bay water. With enlargement the entire road network can be easily mapped; individual buildings are visible, including the shadows of the high-rises in downtown San Francisco. Inset: This enlargement of the San Francisco Airport highlights the high spatial resolution of ASTER. With further enlargement and careful examination, airplanes can be seen at the terminals. http://photojournal.jpl.nasa.gov/catalog/PIA02606

  2. San Cristobal Volcano, Nicaragua

    NASA Technical Reports Server (NTRS)

    1990-01-01

    A white plume of smoke, from San Cristobal Volcano (13.0N, 87.5W) on the western coast of Nicaragua, blows westward along the Nicaraguan coast just south of the Gulf of Fonseca and the Honduran border. San Csistobal is a strato volcano some 1,745 meters high and is frequently active.

  3. San Marco C-2 (San Marco-4) Post Launch Report No. 1

    NASA Technical Reports Server (NTRS)

    1974-01-01

    The San Marco C-2 spacecraft, now designated San Marco-4, was successfully launched by a Scout vehicle from the San Marco Platform on 18 February 1974 at 6:05 a.m. EDT. The launch occurred 2 hours 50 minutes into the 3-hour window due co low cloud cover at the launch site. All spacecraft subsystems have been checked and are functioning normally. The protective caps for the two U.S. experiments were ejected and the Omegatron experiment activated on 19 February. The neutral mass spectrometer was activated as scheduled on 22 February after sufficient time to allow for spacecraft outgassing and to avoid the possibility of corona occurring. Both instruments are performing properly and worthwhile scientific data is being acquired.

  4. 78 FR 19103 - Safety Zone; Spanish Navy School Ship San Sebastian El Cano Escort; Bahia de San Juan; San Juan, PR

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-03-29

    ... School Ship San Sebastian El Cano, a public vessel, and during their 21 gun salute in accordance with the... zone is necessary to protect the public from the hazards associated with the 21 gun salute near the Bar... an escort of the Spanish Navy School Ship San Sebastian El Cano and 21 gun salute. The outbound...

  5. 78 FR 53245 - Safety Zone; San Diego Bayfair; Mission Bay, San Diego, CA

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-08-29

    ..., Protection of Children from Environmental Health Risks and Safety Risks. This rule is not an economically significant rule and does not create an environmental risk to health or risk to safety that may...-AA00 Safety Zone; San Diego Bayfair; Mission Bay, San Diego, CA AGENCY: Coast Guard, DHS. ACTION...

  6. Space Radar Image of San Francisco, California

    NASA Technical Reports Server (NTRS)

    1994-01-01

    This image of San Francisco, California shows how the radar distinguishes between densely populated urban areas and nearby areas that are relatively unsettled. Downtown San Francisco is at the center and the city of Oakland is at the right across the San Francisco Bay. Some city areas, such as the South of Market, called the SOMA district in San Francisco, appear bright red due to the alignment of streets and buildings to the incoming radar beam. Various bridges in the area are also visible including the Golden Gate Bridge (left center) at the opening of San Francisco Bay, the Bay Bridge (right center) connecting San Francisco and Oakland, and the San Mateo Bridge (bottom center). All the dark areas on the image are relatively smooth water: the Pacific Ocean to the left, San Francisco Bay in the center, and various reservoirs. Two major faults bounding the San Francisco-Oakland urban areas are visible on this image. The San Andreas fault, on the San Francisco peninsula, is seen in the lower left of the image. The fault trace is the straight feature filled with linear reservoirs which appear dark. The Hayward fault is the straight feature on the right side of the image between the urban areas and the hillier terrain to the east. The image is about 42 kilometers by 58 kilometers (26 miles by 36 miles) with north toward the upper right. This area is centered at 37.83 degrees north latitude, 122.38 degrees east longitude. The image was acquired by the Spaceborne Imaging Radar-C/X-band Synthetic Aperture (SIR-C/X-SAR) imaging radar when it flew aboard the space shuttle Endeavour on October 3, 1994. SIR-C/X-SAR, a joint mission of the German, Italian and the United States space agencies, is part of NASA's Mission to Planet Earth.

  7. San Francisco, San Pablo Bay Area

    NASA Image and Video Library

    1994-09-30

    STS068-244-022 (30 September-11 October 1994) --- (San Francisco, San Pablo Bay Area) Photographed through the Space Shuttle Endeavour's flight deck windows, the heavily populated bay area is featured in this 70mm frame. The relatively low altitude of Endeavour's orbit (115 nautical miles) and the use of a 250mm lens on the Hasselblad camera allowed for capturing detail in features such as the Berkeley Marina (frame center). The region's topography is well depicted with the lowland areas heavily populated and the hills much more sparsely covered. The Oakland Hills in the right lower center appear to be re-vegetated after a devastating fire. The Golden Gate Recreation Area in the upper left also shows heavy vegetation. The three bridges across the main part of the bay and their connecting roads are prominent. Cultural features such as Golden Gate Park and the Presidio contrast with the gray of the city.

  8. 33 CFR 3.55-20 - Sector San Francisco: San Francisco Bay Marine Inspection Zone and Captain of the Port Zone.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... 33 Navigation and Navigable Waters 1 2014-07-01 2014-07-01 false Sector San Francisco: San Francisco Bay Marine Inspection Zone and Captain of the Port Zone. 3.55-20 Section 3.55-20 Navigation and... Francisco: San Francisco Bay Marine Inspection Zone and Captain of the Port Zone. The Sector San Francisco...

  9. 33 CFR 3.55-20 - Sector San Francisco: San Francisco Bay Marine Inspection Zone and Captain of the Port Zone.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... 33 Navigation and Navigable Waters 1 2011-07-01 2011-07-01 false Sector San Francisco: San Francisco Bay Marine Inspection Zone and Captain of the Port Zone. 3.55-20 Section 3.55-20 Navigation and... Francisco: San Francisco Bay Marine Inspection Zone and Captain of the Port Zone. The Sector San Francisco...

  10. 33 CFR 3.55-20 - Sector San Francisco: San Francisco Bay Marine Inspection Zone and Captain of the Port Zone.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... 33 Navigation and Navigable Waters 1 2013-07-01 2013-07-01 false Sector San Francisco: San Francisco Bay Marine Inspection Zone and Captain of the Port Zone. 3.55-20 Section 3.55-20 Navigation and... Francisco: San Francisco Bay Marine Inspection Zone and Captain of the Port Zone. The Sector San Francisco...

  11. 33 CFR 3.55-20 - Sector San Francisco: San Francisco Bay Marine Inspection Zone and Captain of the Port Zone.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... 33 Navigation and Navigable Waters 1 2010-07-01 2010-07-01 false Sector San Francisco: San Francisco Bay Marine Inspection Zone and Captain of the Port Zone. 3.55-20 Section 3.55-20 Navigation and... Francisco: San Francisco Bay Marine Inspection Zone and Captain of the Port Zone. The Sector San Francisco...

  12. 33 CFR 3.55-20 - Sector San Francisco: San Francisco Bay Marine Inspection Zone and Captain of the Port Zone.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... 33 Navigation and Navigable Waters 1 2012-07-01 2012-07-01 false Sector San Francisco: San Francisco Bay Marine Inspection Zone and Captain of the Port Zone. 3.55-20 Section 3.55-20 Navigation and... Francisco: San Francisco Bay Marine Inspection Zone and Captain of the Port Zone. The Sector San Francisco...

  13. Transforming Pinus pinaster forest to recreation site: preliminary effects on LAI, some forest floor, and soil properties.

    PubMed

    Öztürk, Melih; Bolat, İlyas

    2014-04-01

    This study investigates the effects of forest transformation into recreation site. A fragment of a Pinus pinaster plantation forest was transferred to a recreation site in the city of Bartın located close to the Black Sea coast of northwestern Turkey. During the transformation, some of the trees were selectively removed from the forest to generate more open spaces for the recreationists. As a result, Leaf Area Index (LAI) decreased by 0.20 (about 11%). Additionally, roads and pathways were introduced into the site together with some recreational equipment sealing parts of the soil surface. Consequently, forest environment was altered with a semi-natural landscape within the recreation site. The purpose of this study is to assess the effects of forest transformation into recreation site particularly in terms of the LAI parameter, forest floor, and soil properties. Preliminary monitoring results indicate that forest floor biomass is reduced by 26% in the recreation site compared to the control site. Soil temperature is increased by 15% in the recreation site where selective removal of trees expanded the gaps allowing more light transmission. On the other hand, the soil bulk density which is an indicator of soil compaction is unexpectedly slightly lower in the recreation site. Organic carbon (C(org)) and total nitrogen (N(total)) together with the other physical and chemical parameter values indicate that forest floor and soil have not been exposed to much disturbance. However, subsequent removal of trees that would threaten the vegetation, forest floor, and soil should not be allowed. The activities of the recreationists are to be concentrated on the paved spaces rather than soil surfaces. Furthermore, long-term monitoring and management is necessary for both the observation and conservation of the site.

  14. The San Andreas Fault in the San Francisco Bay area, California: a geology fieldtrip guidebook to selected stops on public lands

    USGS Publications Warehouse

    Stoffer, Philip W.

    2005-01-01

    This guidebook contains a series of geology fieldtrips with selected destinations along the San Andreas Fault in part of the region that experienced surface rupture during the Great San Francisco Earthquake of 1906. Introductory materials present general information about the San Andreas Fault System, landscape features, and ecological factors associated with faults in the South Bay, Santa Cruz Mountains, the San Francisco Peninsula, and the Point Reyes National Seashore regions. Trip stops include roadside areas and recommended hikes along regional faults and to nearby geologic and landscape features that provide opportunities to make casual observations about the geologic history and landscape evolution. Destinations include the sites along the San Andreas and Calaveras faults in the San Juan Bautista and Hollister region. Stops on public land along the San Andreas Fault in the Santa Cruz Mountains in Santa Clara and Santa Cruz counties include in the Loma Prieta summit area, Forest of Nicene Marks State Park, Lexington County Park, Sanborn County Park, Castle Rock State Park, and the Mid Peninsula Open Space Preserve. Destinations on the San Francisco Peninsula and along the coast in San Mateo County include the Crystal Springs Reservoir area, Mussel Rock Park, and parts of Golden Gate National Recreation Area, with additional stops associated with the San Gregorio Fault system at Montara State Beach, the James F. Fitzgerald Preserve, and at Half Moon Bay. Field trip destinations in the Point Reyes National Seashore and vicinity provide information about geology and character of the San Andreas Fault system north of San Francisco.

  15. Effects of Physician-Based Preventive Oral Health Services on Dental Caries.

    PubMed

    Kranz, Ashley M; Preisser, John S; Rozier, R Gary

    2015-07-01

    Most Medicaid programs reimburse nondental providers for preventive dental services. We estimate the impact of comprehensive preventive oral health services (POHS) on dental caries among kindergarten students, hypothesizing improved oral health among students with medical visits with POHS. We conducted a retrospective study in 29,173 kindergarten students by linking Medicaid claims (1999-2006) with public health surveillance data (2005-2006). Zero-inflated regression models estimated the association between number of visits with POHS and (1) decayed, missing, and filled primary teeth (dmft) and (2) untreated decayed teeth while adjusting for confounding. Kindergarten students with ≥4 POHS visits averaged an adjusted 1.82 dmft (95% confidence interval: 1.55 to 2.09), which was significantly less than students with 0 visits (2.21 dmft; 95% confidence interval: 2.16 to 2.25). The mean number of untreated decayed teeth was not reduced for students with ≥4 POHS visits compared with those with 0 visits. POHS provided by nondental providers in medical settings were associated with a reduction in caries experience in young children but were not associated with improvement in subsequent use of treatment services in dental settings. Efforts to promote oral health in medical settings should continue. Strategies to promote physician-dentist collaborations are needed to improve continuity of care for children receiving dental services in medical settings. Copyright © 2015 by the American Academy of Pediatrics.

  16. English Articulation between the San Francisco Unified School District and the City College of San Francisco. Youth Data Archive Issue Brief

    ERIC Educational Resources Information Center

    Gurantz, Oded

    2012-01-01

    San Francisco's Bridge to Success (BtS) initiative brings together the City and County of San Francisco, the San Francisco Unified School District (SFUSD), the City College of San Francisco (CCSF), and key community organizations to promote postsecondary success for underrepresented students. Various working groups, each comprised of staff from…

  17. 78 FR 39610 - Safety Zone; Big Bay Boom, San Diego Bay; San Diego, CA

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-07-02

    ..., Protection of Children from Environmental Health Risks and Safety Risks. This rule is not an economically significant rule and does not create an environmental risk to health or risk to safety that may...-AA00 Safety Zone; Big Bay Boom, San Diego Bay; San Diego, CA AGENCY: Coast Guard, DHS. ACTION...

  18. 33 CFR 165.1103 - Security Zone; Naval Mine Anti Submarine Warfare Command; San Diego Bay, San Diego, CA.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... Submarine Warfare Command; San Diego Bay, San Diego, CA. 165.1103 Section 165.1103 Navigation and Navigable... Eleventh Coast Guard District § 165.1103 Security Zone; Naval Mine Anti Submarine Warfare Command; San... the Naval Mine Anti Submarine Warfare Command, bound by the following coordinates: 32°43′40.9″ N, 117...

  19. San Francisco and Bay Area, CA, USA

    NASA Image and Video Library

    1991-05-06

    STS039-89-053 (28 April-6 May 1991) --- A 70mm, infrared frame of the city of San Francisco, taken on a clear day. The gray areas represent urban regions, and the red areas are vegetated. Within the city of San Francisco, parks like Golden Gate park and the Presidio at the base of the Golden Gate Bridge easily stand out from the well-developed parts of the city. Major thoroughfares and bridges (Golden Gate and Bay Bridges) are seen as are other landmarks such as Candlestick Park and Alcatraz. The trace of the San Andreas faults show as a straight valley running northerly along the San Francisco peninsula. Good detail is visible in the turbid waters of San Francisco Bay.

  20. 49. Aerial view of statehouse and San Cristobal, Fuerte El ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    49. Aerial view of statehouse and San Cristobal, Fuerte El Abanico, San Carlos ravelin and Atlantic Ocean in the background - Castillo de San Cristobal, Boulevard Norzagaray, San Juan, San Juan Municipio, PR

  1. History of San Marco

    NASA Technical Reports Server (NTRS)

    Caporale, A. J.

    1968-01-01

    A brief history is reported of the first San Marco project, a joint program of the United States and Italy. The Project was a three phase effort to investigate upper air density and associated ionosphere phenomena. The initial phase included the design and development of the spacecraft, the experiments, the launch complex, and a series of suborbital flights, from Wallops Island. The second phase, consisting of designing, fabricating, and testing a spacecraft for the first orbital mission, culminated in an orbital launch also from Wallops Island. The third phase consisted of further refining the experiments and spacecraft instrumentation and of establishing a full-bore scout complex in Kenya. The launch of San Marco B, in April 1967, from this complex into an equatorial orbit, concluded the initial San Marco effort.

  2. The perception of volcanic risk in Kona communities from Mauna Loa and Hualālai volcanoes, Hawai‵i

    NASA Astrophysics Data System (ADS)

    Gregg, C. E.; Houghton, B. F.; Johnston, D. M.; Paton, D.; Swanson, D. A.

    2004-02-01

    Volcanic hazards in Kona (i.e. the western side of the island of Hawai‵i) stem primarily from Mauna Loa and Hualālai volcanoes. The former has erupted 39 times since 1832. Lava flows were emplaced in Kona during seven of these eruptions and last impacted Kona in 1950. Hualālai last erupted in ca. 1800. Society's proximity to potential eruptive sources and the potential for relatively fast-moving lava flows, coupled with relatively long time intervals since the last eruptions in Kona, are the underlying stimuli for this study of risk perception. Target populations were high-school students and adults ( n=462). Using these data, we discuss threat knowledge as an influence on risk perception, and perception as a driving mechanism for preparedness. Threat knowledge and perception of risk were found to be low to moderate. On average, fewer than two-thirds of the residents were aware of the most recent eruptions that impacted Kona, and a minority felt that Mauna Loa and Hualālai could ever erupt again. Furthermore, only about one-third were aware that lava flows could reach the coast in Kona in less than 3 h. Lava flows and ash fall were perceived to be among the least likely hazards to affect the respondent's community within the next 10 years, whereas vog (volcanic smog) was ranked the most likely. Less than 18% identified volcanic hazards as amongst the most likely hazards to affect them at home, school, or work. Not surprisingly, individual preparedness measures were found on average to be limited to simple tasks of value in frequently occurring domestic emergencies, whereas measures specific to infrequent hazard events such as volcanic eruptions were seldom adopted. Furthermore, our data show that respondents exhibit an 'unrealistic optimism bias' and infer that responsibility for community preparedness for future eruptions primarily rests with officials. We infer that these respondents may be less likely to attend to hazard information, react to warnings as

  3. The perception of volcanic risk in Kona communities from Mauna Loa and Hualālai volcanoes, Hawai'i

    USGS Publications Warehouse

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

    2004-01-01

    Volcanic hazards in Kona (i.e. the western side of the island of Hawai'i) stem primarily from Mauna Loa and Huala??lai volcanoes. The former has erupted 39 times since 1832. Lava flows were emplaced in Kona during seven of these eruptions and last impacted Kona in 1950. Huala??lai last erupted in ca. 1800. Society's proximity to potential eruptive sources and the potential for relatively fast-moving lava flows, coupled with relatively long time intervals since the last eruptions in Kona, are the underlying stimuli for this study of risk perception. Target populations were high-school students and adults ( n =462). Using these data, we discuss threat knowledge as an influence on risk perception, and perception as a driving mechanism for preparedness. Threat knowledge and perception of risk were found to be low to moderate. On average, fewer than two-thirds of the residents were aware of the most recent eruptions that impacted Kona, and a minority felt that Mauna Loa and Huala??lai could ever erupt again. Furthermore, only about one-third were aware that lava flows could reach the coast in Kona in less than 3 h. Lava flows and ash fall were perceived to be among the least likely hazards to affect the respondent's community within the next 10 years, whereas vog (volcanic smog) was ranked the most likely. Less than 18% identified volcanic hazards as amongst the most likely hazards to affect them at home, school, or work. Not surprisingly, individual preparedness measures were found on average to be limited to simple tasks of value in frequently occurring domestic emergencies, whereas measures specific to infrequent hazard events such as volcanic eruptions were seldom adopted. Furthermore, our data show that respondents exhibit an 'unrealistic optimism bias' and infer that responsibility for community preparedness for future eruptions primarily rests with officials. We infer that these respondents may be less likely to attend to hazard information, react to warnings as

  4. South entrance, plan, section, & detail. San Bernardino Valley Union ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    South entrance, plan, section, & detail. San Bernardino Valley Union Junior College, Science Building. Detailed drawings of tile work, wrought iron, and art stone, Howard E. Jones, Architect, San Bernardino, California. Sheet 6, job no. 311. Scale 1.2 inch to the foot. February 15, 1927. - San Bernardino Valley College, Life Science Building, 701 South Mount Vernon Avenue, San Bernardino, San Bernardino County, CA

  5. Pleistocene Brawley and Ocotillo Formations: Evidence for initial strike-slip deformation along the San Felipe and San Jacinto fault zonez, Southern California

    USGS Publications Warehouse

    Kirby, S.M.; Janecke, S.U.; Dorsey, R.J.; Housen, B.A.; Langenheim, V.E.; McDougall, K.A.; Steeley, A.N.

    2007-01-01

    We examine the Pleistocene tectonic reorganization of the Pacific-North American plate boundary in the Salton Trough of southern California with an integrated approach that includes basin analysis, magnetostratigraphy, and geologic mapping of upper Pliocene to Pleistocene sedimentary rocks in the San Felipe Hills. These deposits preserve the earliest sedimentary record of movement on the San Felipe and San Jacinto fault zones that replaced and deactivated the late Cenozoic West Salton detachment fault. Sandstone and mudstone of the Brawley Formation accumulated between ???1.1 and ???0.6-0.5 Ma in a delta on the margin of an arid Pleistocene lake, which received sediment from alluvial fans of the Ocotillo Formation to the west-southwest. Our analysis indicates that the Ocotillo and Brawley formations prograded abruptly to the east-northeast across a former mud-dominated perennial lake (Borrego Formation) at ???1.1 Ma in response to initiation of the dextral-oblique San Felipe fault zone. The ???25-km-long San Felipe anticline initiated at about the same time and produced an intrabasinal basement-cored high within the San Felipe-Borrego basin that is recorded by progressive unconformities on its north and south limbs. A disconformity at the base of the Brawley Formation in the eastern San Felipe Hills probably records initiation and early blind slip at the southeast tip of the Clark strand of the San Jacinto fault zone. Our data are consistent with abrupt and nearly synchronous inception of the San Jacinto and San Felipe fault zones southwest of the southern San Andreas fault in the early Pleistocene during a pronounced southwestward broadening of the San Andreas fault zone. The current contractional geometry of the San Jacinto fault zone developed after ???0.5-0.6 Ma during a second, less significant change in structural style. ?? 2007 by The University of Chicago. All rights reserved.

  6. 33 CFR 165.T11-534 - Safety zone; Bay Bridge construction, San Francisco Bay, San Francisco, CA.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... Francisco, CA. (a) Location. This temporary safety zone is established in the navigable waters of the San... construction, San Francisco Bay, San Francisco, CA. 165.T11-534 Section 165.T11-534 Navigation and Navigable... within a box connected by the following points: 37°49′06″ N, 122°21′17″ W; 37°49′01″ N, 122°21′12″ W; 37...

  7. The San Andreas fault in the San Francisco Bay region, California: Structure and kinematics of a Young plate boundary

    USGS Publications Warehouse

    Jachens, R.C.; Zoback, M.L.

    1999-01-01

    Recently acquired high-resolution aeromagnetic data delineate offset and/or truncated magnetic rock bodies of the Franciscan Complex that define the location and structure of, and total offset across, the San Andreas fault in the San Francisco Bay region. Two distinctive magnetic anomalies caused by ultramafic rocks and metabasalts east of, and truncated at, the San Andreas fault have clear counterparts west of the fault that indicate a total right-lateral offset of only 22 km on the Peninsula segment, the active strand that ruptured in 1906. The location of the Peninsula segment is well defined magnetically on the northern peninsula where it goes offshore, and can be traced along strike an additional ~6 km to the northwest. Just offshore from Lake Merced, the inferred fault trace steps right (northeast) 3 km onto a nearly parallel strand that can be traced magnetically northwest more than 20 km as the linear northeast edge of a magnetic block bounded by the San Andreas fault, the Pilarcitos fault, and the San Gregorio-Hosgri fault zone. This right-stepping strand, the Golden Gate segment, joins the eastern mapped trace of the San Andreas fault at Bolinas Lagoon and projects back onshore to the southeast near Lake Merced. Inversion of detailed gravity data on the San Francisco Peninsula reveals a 3 km wide basin situated between the two strands of the San Andreas fault, floored by Franciscan basement and filled with Plio-Quaternary sedimentary deposits of the Merced and Colma formations. The basin, ~1 km deep at the coast, narrows and becomes thinner to the southeast along the fault over a distance of ~12 km. The length, width, and location of the basin between the two strands are consistent with a pull-apart basin formed behind the right step in the right-lateral strike-slip San Andreas fault system and currently moving southeast with the North American plate. Slight nonparallelism of the two strands bounding the basin (implying a small component of convergence

  8. San Jose, Costa Rica

    NASA Technical Reports Server (NTRS)

    2007-01-01

    San Jose, capital city of Costa Rica, fills the valley between two steep mountain ranges. In this image made from data collected by the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) instrument on NASA's Terra satellite, visible, shortwave, and near-infrared wavelengths of light that the sensor observed have been combined to produce a false-color version of the scene in which vegetation is red, urban areas are silvery gray, water is dark blue, and clouds are white. The image was captured on February 8, 2007. San Jose is in the center of the image. The Rio Torres winds through downtown San Jose. Cartago, the much smaller colonial capital, sits in the lower right corner, while the city of Alajuela appears across the river, northwest of San Jose. The cities' manmade surfaces contrast sharply with the lushly vegetated landscape surrounding the city. Greenhouses are common in the region, and their glass roofs may be the brilliant white spots around the outer edges the cities. The long, straight runway of the Tobias Bolanos International Airport is visible as a dark line southeast of Alajuela. The landscape around the two cities shown here is rugged. Steep mountain peaks cast dark shadows across their leeward slopes. Patches of dark red vegetation on the mountains north of San Jose may be rainforest. Coffee plantations also cover the slopes of the mountains around the city. February is the dry season in Costa Rica. During the rainy season, from about April to November, clouds usually block the satellite's view of this tropical location. NASA image created by Jesse Allen, using data provided courtesy of Asaf Ullah and Tim Gubbels, SERVIR project.

  9. 22. Post Engineer Office, Presidio of San Francisco, Building # ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    22. Post Engineer Office, Presidio of San Francisco, Building # 1049 Letterman General Hospital. Alterations to EKG Cardiology Clinic. November 1963. BUILDING 1049. - Presidio of San Francisco, Letterman General Hospital, Building No. 12, Letterman Hospital Complex, Edie Road, San Francisco, San Francisco County, CA

  10. MAPP in action in San Antonio, Texas.

    PubMed

    Shields, Kathleen M; Pruski, Charles E

    2005-01-01

    San Antonio was selected as an official Mobilizing for Action through Planning and Partnerships (MAPP) demonstration site by National Association of County and City Officials in 2000. The San Antonio Metropolitan Health District, under the leadership of Dr Fernando A. Guerra, agreed to facilitate the process. The MAPP process provided the San Antonio Metropolitan Health District, the local public health authority, a defined process for community health improvement, as well as a mechanism to help bridge the gap between public health and the community. The San Antonio Metropolitan Health District organized a Core Planning Team to lead the MAPP process in April 2001. By October 2002, the Core Planning Team was expanded to a full community working group named the Alliance for Community Health in San Antonio and Bexar County (Alliance). The Alliance identified six strategic issues, which eventually became the basis of the San Antonio Community Health Improvement Plan. The strategic issues are Public Policy, Data Tracking, Healthy Lifestyles, Promoting a Sense of Community, Access to Care, and Safe Environment. San Antonio's MAPP experience has been successful in bringing together the public health system partners, and establishing public health priorities collectively. The MAPP process has resulted in the development of many new initiatives, and, most important, has opened the door to many partnership opportunities in the future. The work of the Alliance, through the MAPP process, has helped to leverage resources for public health improvement in San Antonio, and has the potential to effect positive change in public health in the future.

  11. 33 CFR 165.T11-568 - Safety Zone; San Diego Symphony Summer POPS Fireworks 2013 Season, San Diego, CA.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... 33 Navigation and Navigable Waters 2 2013-07-01 2013-07-01 false Safety Zone; San Diego Symphony Summer POPS Fireworks 2013 Season, San Diego, CA. 165.T11-568 Section 165.T11-568 Navigation and... Areas Eleventh Coast Guard District § 165.T11-568 Safety Zone; San Diego Symphony Summer POPS Fireworks...

  12. Fine-scale delineation of the location of and relative ground shaking within the San Andreas Fault zone at San Andreas Lake, San Mateo County, California

    USGS Publications Warehouse

    Catchings, R.D.; Rymer, M.J.; Goldman, M.R.; Prentice, C.S.; Sickler, R.R.

    2013-01-01

    The San Francisco Public Utilities Commission is seismically retrofitting the water delivery system at San Andreas Lake, San Mateo County, California, where the reservoir intake system crosses the San Andreas Fault (SAF). The near-surface fault location and geometry are important considerations in the retrofit effort. Because the SAF trends through highly distorted Franciscan mélange and beneath much of the reservoir, the exact trace of the 1906 surface rupture is difficult to determine from surface mapping at San Andreas Lake. Based on surface mapping, it also is unclear if there are additional fault splays that extend northeast or southwest of the main surface rupture. To better understand the fault structure at San Andreas Lake, the U.S. Geological Survey acquired a series of seismic imaging profiles across the SAF at San Andreas Lake in 2008, 2009, and 2011, when the lake level was near historical lows and the surface traces of the SAF were exposed for the first time in decades. We used multiple seismic methods to locate the main 1906 rupture zone and fault splays within about 100 meters northeast of the main rupture zone. Our seismic observations are internally consistent, and our seismic indicators of faulting generally correlate with fault locations inferred from surface mapping. We also tested the accuracy of our seismic methods by comparing our seismically located faults with surface ruptures mapped by Schussler (1906) immediately after the April 18, 1906 San Francisco earthquake of approximate magnitude 7.9; our seismically determined fault locations were highly accurate. Near the reservoir intake facility at San Andreas Lake, our seismic data indicate the main 1906 surface rupture zone consists of at least three near-surface fault traces. Movement on multiple fault traces can have appreciable engineering significance because, unlike movement on a single strike-slip fault trace, differential movement on multiple fault traces may exert compressive and

  13. 78 FR 57482 - Safety Zone; America's Cup Aerobatic Box, San Francisco Bay, San Francisco, CA

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-09-19

    ...-AA00 Safety Zone; America's Cup Aerobatic Box, San Francisco Bay, San Francisco, CA AGENCY: Coast Guard... America's Cup air shows. These safety zones are established to provide a clear area on the water for... announced by America's Cup Race Management. ADDRESSES: Documents mentioned in this preamble are part of...

  14. 77 FR 42649 - Safety Zone: Sea World San Diego Fireworks, Mission Bay; San Diego, CA

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-07-20

    ... DEPARTMENT OF HOMELAND SECURITY Coast Guard 33 CFR Part 165 [Docket Number USCG-2012-0497] RIN 1625-AA00 Safety Zone: Sea World San Diego Fireworks, Mission Bay; San Diego, CA AGENCY: Coast Guard, DHS. ACTION: Temporary final rule. SUMMARY: The Coast Guard is establishing a temporary safety zone on...

  15. Microsatellite analyses of San Franciscuito Creek rainbow trout

    USGS Publications Warehouse

    Nielsen, Jennifer L.

    2000-01-01

    Microsatellite genetic diversity found in San Francisquito Creek rainbow trout support a close genetic relationship with rainbow trout (Oncorhynchus mykiss) from another tributary of San Francisco Bay, Alameda Creek, and coastal trout found in Lagunitas Creek, Marin County, California. Fish collected for this study from San Francisquito Creek showed a closer genetic relationship to fish from the north-central California steelhead ESU than for any other listed group of O. mykiss. No significant genotypic or allelic frequency associations could be drawn between San Francisquito Creek trout and fish collected from the four primary rainbow trout hatchery strains in use in California, i.e. Whitney, Mount Shasta, Coleman, and Hot Creek hatchery fish. Indeed, genetic distance analyses (δµ2) supported separation between San Francisquito Creek trout and all hatchery trout with 68% bootstrap values in 1000 replicate neighbor-joining trees. Not surprisingly, California hatchery rainbow trout showed their closest evolutionary relationships with contemporary stocks derived from the Sacramento River. Wild collections of rainbow trout from the Sacramento-San Joaquin basin in the Central Valley were also clearly separable from San Francisquito Creek fish supporting separate, independent ESUs for two groups of O. mykiss (one coastal and one Central Valley) with potentially overlapping life histories in San Francisco Bay. These data support the implementation of management and conservation programs for rainbow trout in the San Francisquito Creek drainage as part of the central California coastal steelhead ESU.

  16. 75 FR 51098 - Protection Island and San Juan Islands National Wildlife Refuges, Jefferson, Island, San Juan...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-08-18

    ..., Washington Maritime National Wildlife Refuge Complex, 715 Holgerson Drive, Sequim, WA 98382. FOR FURTHER...] Protection Island and San Juan Islands National Wildlife Refuges, Jefferson, Island, San Juan, Skagit, and Whatcom Counties, WA AGENCY: Fish and Wildlife Service, Interior. ACTION: Notice of availability: draft...

  17. Forecasting Selenium Discharges to the San Francisco Bay-Delta Estuary: Ecological Effects of A Proposed San Luis Drain Extension

    USGS Publications Warehouse

    Presser, Theresa S.; Luoma, Samuel N.

    2006-01-01

    Selenium discharges to the San Francisco Bay-Delta Estuary (Bay-Delta) could change significantly if federal and state agencies (1) approve an extension of the San Luis Drain to convey agricultural drainage from the western San Joaquin Valley to the North Bay (Suisun Bay, Carquinez Strait, and San Pablo Bay); (2) allow changes in flow patterns of the lower San Joaquin River and Bay-Delta while using an existing portion of the San Luis Drain to convey agricultural drainage to a tributary of the San Joaquin River; or (3) revise selenium criteria for the protection of aquatic life or issue criteria for the protection of wildlife. Understanding the biotransfer of selenium is essential to evaluating effects of selenium on Bay-Delta ecosystems. Confusion about selenium threats to fish and wildlife stem from (1) monitoring programs that do not address specific protocols necessary for an element that bioaccumulates; and (2) failure to consider the full complexity of the processes that result in selenium toxicity. Past studies show that predators are more at risk from selenium contamination than their prey, making it difficult to use traditional methods to predict risk from environmental concentrations alone. This report presents an approach to conceptualize and model the fate and effects of selenium under various load scenarios from the San Joaquin Valley. For each potential load, progressive forecasts show resulting (1) water-column concentration; (2) speciation; (3) transformation to particulate form; (4) particulate concentration; (5) bioaccumulation by invertebrates; (6) trophic transfer to predators; and (7) effects on those predators. Enough is known to establish a first-order understanding of relevant conditions, biological response, and ecological risks should selenium be discharged directly into the North Bay through a conveyance such as a proposed extension of the San Luis Drain. The approach presented here, the Bay-Delta selenium model, determines the mass, fate

  18. San Diego's Capital Planning Process

    ERIC Educational Resources Information Center

    Lytton, Michael

    2009-01-01

    This article describes San Diego's capital planning process. As part of its capital planning process, the San Diego Unified School District has developed a systematic analysis of functional quality at each of its school sites. The advantage of this approach is that it seeks to develop and apply quantifiable metrics and standards for the more…

  19. Section AA through main entrance gates & west stairs. San ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    Section AA through main entrance gates & west stairs. San Bernardino Valley Union Junior College, Science Building. Also includes plans and sections of boys' and girls' toilets. Howard E. Jones, Architect, San Bernardino, California. Sheet 5, job no. 311. Scales 1/4 inch to the foot (section AA) and 1/2 inch to the foot (toilet rooms). February 15, 1927. - San Bernardino Valley College, Life Science Building, 701 South Mount Vernon Avenue, San Bernardino, San Bernardino County, CA

  20. San Marco C-2 Explorer

    NASA Technical Reports Server (NTRS)

    1974-01-01

    The San Marco C-2 spacecraft will be launched no earlier than 18 February 1974 from the San Marco Range located off the coast of Kenya, Africa, by a Scout launch vehicle. The launch will be conducted by an Italian crew. The San Marco C-2 is the fourth cooperative satellite project between Italy and the United States. The purpose of the mission is to obtain measurements of the diurnal variations of the equatorial neutral atmosphere density, composition, and temperature and to use these data for correlation with AE-C (Explorer 51) data for studies of the physics and dynamics of the thermosphere. The San Marco C-2 project is a joint undertaking of the National Aeronautics and Space Administration (NASA) and the Italian Space Commission officially initiated with a Memorandum of Understanding in August of 1973. Project management responsibility for the Italian portion of the project has been assigned to the Centro Ricerche Aerospaziali (CRA) while the Goddard Space Flight Center (GSFC) has responsibility for the United States portion.

  1. San Andreas drilling sites selected

    NASA Astrophysics Data System (ADS)

    Ellsworth, Bill; Zoback, Mark

    A new initiative for drilling and coring directly into the San Andreas fault at depths up to 10 km is being proposed by an international team of scientists led by Mark Zoback, Stanford University; Steve Hickman and Bill Ellsworth, U.S. Geological Survey; and Lee Younker, Lawrence Livermore Laboratory. In addition to exhuming samples of fault rock and fluids from seismogenic depths, the hole will be used to make a wide range of geophysical measurements within the fault zone and to monitor the fault zone over time. Four areas along the San Andreas have been selected as candidates for deep drilling: the Mojave segment of the San Andreas between Leona Valley and Big Pine, the Carrizo Plain, the San Francisco Peninsula between Los Altos and Daly City, and the Northern Gabilan Range between the Cienga winery and Melendy Ranch. These sites were chosen from an initial list compiled at the International Fault Zone Drilling Workshop held in Asilomar, Calif., in December 1992 and at meetings held this winter and spring in Menlo Park, Calif.

  2. Program Updates - San Antonio River Basin

    EPA Pesticide Factsheets

    This page will house updates for this urban waters partnership location. As projects progress, status updates can be posted here to reflect the ongoing work by partners in San Antonio working on the San Antonio River Basin.

  3. Shelving plans, elevations, and sections. San Bernardino Valley Union Junior ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    Shelving plans, elevations, and sections. San Bernardino Valley Union Junior College, Science Building. Howard E. Jones, Architect, San Bernardino, California. Sheet 9, job no. 311. Scale 1.2 inch to the foot. February 15, 1927. - San Bernardino Valley College, Life Science Building, 701 South Mount Vernon Avenue, San Bernardino, San Bernardino County, CA

  4. 76 FR 19781 - Protection Island and San Juan Islands National Wildlife Refuges, Jefferson, San Juan, Skagit...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-04-08

    ...., Lopez Island, WA 98261. North Olympic Public Library..... 630 N. Sequim Ave., 360-683-1161 Sequim, WA...] Protection Island and San Juan Islands National Wildlife Refuges, Jefferson, San Juan, Skagit, Island, and Whatcom Counties, WA; Final Comprehensive Conservation Plan, Wilderness Stewardship Plan, and Finding of...

  5. 22. Photocopy of photograph (from San Francisco Chronicle Collection) Photographer ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    22. Photocopy of photograph (from San Francisco Chronicle Collection) Photographer unknown, Date unknown SIDE VIEW OF CHURCH - Mission San Miguel Arcangel, Highway 101, San Miguel, San Luis Obispo County, CA

  6. Cataclastic rocks of the San Gabriel fault—an expression of deformation at deeper crustal levels in the San Andreas fault zone

    NASA Astrophysics Data System (ADS)

    Anderson, J. Lawford; Osborne, Robert H.; Palmer, Donald F.

    1983-10-01

    The San Gabriel fault, a deeply eroded late Oligocene to middle Pliocene precursor to the San Andreas, was chosen for petrologic study to provide information regarding intrafault material representative of deeper crustal levels. Cataclastic rocks exposed along the present trace of the San Andreas in this area are exclusively a variety of fault gouge that is essentially a rock flour with a quartz, feldspar, biotite, chlorite, amphibole, epidote, and Fe-Ti oxide mineralogy representing the milled-down equivalent of the original rock (Anderson and Osborne, 1979; Anderson et al., 1980). Likewise, fault gouge and associated breccia are common along the San Gabriel fault, but only where the zone of cataclasis is several tens of meters wide. At several localities, the zone is extremely narrow (several centimeters), and the cataclastic rock type is cataclasite, a dark, aphanitic, and highly comminuted and indurated rock. The cataclastic rocks along the San Gabriel fault exhibit more comminution than that observed for gouge along the San Andreas. The average grain diameter for the San Andreas gouge ranges from 0.01 to 0.06 mm. For the San Gabriel cataclastic rocks, it ranges from 0.0001 to 0.007 mm. Whereas the San Andreas gouge remains particulate to the smallest grain-size, the ultra-fine grain matrix of the San Gabriel cataclasite is composed of a mosaic of equidimensional, interlocking grains. The cataclastic rocks along the San Gabriel fault also show more mineralogiec changes compared to gouge from the San Andreas fault. At the expense of biotite, amphibole, and feldspar, there is some growth of new albite, chlorite, sericite, laumontite, analcime, mordenite (?), and calcite. The highest grade of metamorphism is laumontite-chlorite zone (zeolite facies). Mineral assemblages and constrained uplift rates allow temperature and depth estimates of 200 ± 30° C and 2-5 km, thus suggesting an approximate geothermal gradient of ~50°C/km. Such elevated temperatures imply a

  7. 76 FR 9709 - Water Quality Challenges in the San Francisco Bay/Sacramento-San Joaquin Delta Estuary

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-02-22

    ... Bay Delta Estuary is the hub of California's water distribution system, supplying some or all of the... Water Quality Challenges in the San Francisco Bay/Sacramento-San Joaquin Delta Estuary AGENCY... interested parties on possible EPA actions to address water quality conditions affecting aquatic resources in...

  8. South elevation and main floor plan. San Bernardino Valley Union ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    South elevation and main floor plan. San Bernardino Valley Union Junior College, Science Building. Includes chemistry and botany departments. Howard E. Jones, Architect, San Bernardino, California. Sheet 2, job no. 311. Scale 1/8 inch to the foot. February 15, 1927. - San Bernardino Valley College, Life Science Building, 701 South Mount Vernon Avenue, San Bernardino, San Bernardino County, CA

  9. 1. VIEW LOOKING SOUTHWEST AT TURNOUT ON SAN TAN FLOODWATER ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    1. VIEW LOOKING SOUTHWEST AT TURNOUT ON SAN TAN FLOOD-WATER CANAL TO SAN TAN INDIAN CANAL - San Carlos Irrigation Project, San Tan Flood Water Canal, North Side of Gila River, Coolidge, Pinal County, AZ

  10. 77 FR 37604 - Safety Zone; Fourth of July Fireworks, City of San Francisco, San Francisco, CA

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-06-22

    ... Zone; Fourth of July Fireworks, City of San Francisco, San Francisco, CA AGENCY: Coast Guard, DHS. ACTION: Notice of enforcement of regulation. SUMMARY: The Coast Guard will enforce the safety zone for... anchoring in the safety zone, unless authorized by the Patrol Commander (PATCOM). DATES: The regulations in...

  11. San Francisco and Bay Area, CA, USA

    NASA Image and Video Library

    1991-06-14

    STS040-152-100 (5-14 June 1991) --- Although clouds obscure part of the city of San Francisco and the mouth of San Francisco Bay, development and physiographic features in the immediate vicinity of the bay are well displayed. The photograph clearly shows the eastern part of the city, including the Embarcadero, the Bay Bridge, which was damaged in the 1989 earthquake, and Candlestick Park, San Mateo, and Dumbarton Bridges, cross the southern portion of the bay. Vari-colored salt ponds also rim the southern Bay near Moffett Field. Highway 280 runs along the San Andreas fault south of the city. On the eastern margin of the bay are Berkeley the Sacramento River and the Haywood and Calaveras faults.

  12. 33 CFR 165.T11-560 - Safety Zone; Sea World San Diego Fireworks 2013 Season, Mission Bay; San Diego, CA.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... 33 Navigation and Navigable Waters 2 2013-07-01 2013-07-01 false Safety Zone; Sea World San Diego Fireworks 2013 Season, Mission Bay; San Diego, CA. 165.T11-560 Section 165.T11-560 Navigation and Navigable... Eleventh Coast Guard District § 165.T11-560 Safety Zone; Sea World San Diego Fireworks 2013 Season, Mission...

  13. Toxic phytoplankton in San Francisco Bay

    USGS Publications Warehouse

    Rodgers, Kristine M.; Garrison, David L.; Cloern, James E.

    1996-01-01

    The Regional Monitoring Program (RMP) was conceived and designed to document the changing distribution and effects of trace substances in San Francisco Bay, with focus on toxic contaminants that have become enriched by human inputs. However, coastal ecosystems like San Francisco Bay also have potential sources of naturally-produced toxic substances that can disrupt food webs and, under extreme circumstances, become threats to public health. The most prevalent source of natural toxins is from blooms of algal species that can synthesize metabolites that are toxic to invertebrates or vertebrates. Although San Francisco Bay is nutrient-rich, it has so far apparently been immune from the epidemic of harmful algal blooms in the world’s nutrient-enriched coastal waters. This absence of acute harmful blooms does not imply that San Francisco Bay has unique features that preclude toxic blooms. No sampling program has been implemented to document the occurrence of toxin-producing algae in San Francisco Bay, so it is difficult to judge the likelihood of such events in the future. This issue is directly relevant to the goals of RMP because harmful species of phytoplankton have the potential to disrupt ecosystem processes that support animal populations, cause severe illness or death in humans, and confound the outcomes of toxicity bioassays such as those included in the RMP. Our purpose here is to utilize existing data on the phytoplankton community of San Francisco Bay to provide a provisional statement about the occurrence, distribution, and potential threats of harmful algae in this Estuary.

  14. Foundation plan. San Bernardino Valley Union Junior College, Classics Building. ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    Foundation plan. San Bernardino Valley Union Junior College, Classics Building. Also includes sections AA-KK (except DD). Howard E. Jones, Architect, San Bernardino, California. Sheet 1, job no. 312. Scales 1/8 inch to the foot (plan) and 1/2 inch to the foot (sections). February 15, 1927. - San Bernardino Valley College, Classics Building, 701 South Mount Vernon Avenue, San Bernardino, San Bernardino County, CA

  15. Details of main entrance. San Bernardino Valley Union Junior College, ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    Details of main entrance. San Bernardino Valley Union Junior College, Classics Building. Half elevation of exterior iron gates, half plan of interior with tiling, and section AA. Howard E. Jones, Architect, San Bernardino, California. Sheet 5, job no. 312. Scale 1/2 inch to the foot. February 15, 1927. - San Bernardino Valley College, Classics Building, 701 South Mount Vernon Avenue, San Bernardino, San Bernardino County, CA

  16. 33 CFR 110.210 - San Diego Harbor, CA.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... 33 Navigation and Navigable Waters 1 2014-07-01 2014-07-01 false San Diego Harbor, CA. 110.210... ANCHORAGE REGULATIONS Anchorage Grounds § 110.210 San Diego Harbor, CA. (a) The anchorage grounds. (1... Commander, Naval Base, San Diego, CA. The administration of these anchorages is exercised by the Commander...

  17. 33 CFR 110.210 - San Diego Harbor, CA.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... 33 Navigation and Navigable Waters 1 2012-07-01 2012-07-01 false San Diego Harbor, CA. 110.210... ANCHORAGE REGULATIONS Anchorage Grounds § 110.210 San Diego Harbor, CA. (a) The anchorage grounds. (1... Commander, Naval Base, San Diego, CA. The administration of these anchorages is exercised by the Commander...

  18. 33 CFR 110.210 - San Diego Harbor, CA.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... 33 Navigation and Navigable Waters 1 2013-07-01 2013-07-01 false San Diego Harbor, CA. 110.210... ANCHORAGE REGULATIONS Anchorage Grounds § 110.210 San Diego Harbor, CA. (a) The anchorage grounds. (1... Commander, Naval Base, San Diego, CA. The administration of these anchorages is exercised by the Commander...

  19. 33 CFR 110.210 - San Diego Harbor, CA.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... 33 Navigation and Navigable Waters 1 2011-07-01 2011-07-01 false San Diego Harbor, CA. 110.210... ANCHORAGE REGULATIONS Anchorage Grounds § 110.210 San Diego Harbor, CA. (a) The anchorage grounds. (1... Commander, Naval Base, San Diego, CA. The administration of these anchorages is exercised by the Commander...

  20. 21. Post Engineer Office, Presidio of San Francisco, Letterman Army ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    21. Post Engineer Office, Presidio of San Francisco, Letterman Army Hospital. EKG Cardiology Clinic, Building 1049. December 1955. BUILDING 1049. - Presidio of San Francisco, Letterman General Hospital, Building No. 12, Letterman Hospital Complex, Edie Road, San Francisco, San Francisco County, CA

  1. Modeling pesticide diuron loading from the San Joaquin watershed into the Sacramento-San Joaquin Delta using SWAT

    USDA-ARS?s Scientific Manuscript database

    Quantitative information on pesticide loading into the Sacramento-San Joaquin Delta waterways of northern California is critical for water resource management in the region, and potentially useful for biological weed control planning. The San Joaquin watershed, an agriculturally intensive area, is a...

  2. Community preparedness for lava flows from Mauna Loa and Hualālai volcanoes, Kona, Hawai'i

    USGS Publications Warehouse

    Gregg, Chris E.; Houghton, Bruce F.; Paton, Douglas; Swanson, Donald A.; Johnston, David M.

    2004-01-01

    Lava flows from Mauna Loa and Huala??lai volcanoes are a major volcanic hazard that could impact the western portion of the island of Hawai'i (e.g., Kona). The most recent eruptions of these two volcanoes to affect Kona occurred in A.D. 1950 and ca. 1800, respectively. In contrast, in eastern Hawai'i, eruptions of neighboring Ki??lauea volcano have occurred frequently since 1955, and therefore have been the focus for hazard mitigation. Official preparedness and response measures are therefore modeled on typical eruptions of Ki??lauea. The combinations of short-lived precursory activity (e.g., volcanic tremor) at Mauna Loa, the potential for fast-moving lava flows, and the proximity of Kona communities to potential vents represent significant emergency management concerns in Kona. Less is known about past eruptions of Huala??lai, but similar concerns exist. Future lava flows present an increased threat to personal safety because of the short times that may be available for responding. Mitigation must address not only the specific characteristics of volcanic hazards in Kona, but also the manner in which the hazards relate to the communities likely to be affected. This paper describes the first steps in developing effective mitigation plans: measuring the current state of people's knowledge of eruption parameters and the implications for their safety. We present results of a questionnaire survey administered to 462 high school students and adults in Kona. The rationale for this study was the long lapsed time since the last Kona eruption, and the high population growth and expansion of infrastructure over this time interval. Anticipated future growth in social and economic infrastructure in this area provides additional justification for this work. The residents of Kona have received little or no specific information about how to react to future volcanic eruptions or warnings, and short-term preparedness levels are low. Respondents appear uncertain about how to respond

  3. Menstrual cycle perturbation by organohalogens and elements in the Cree of James Bay, Canada.

    PubMed

    Wainman, Bruce C; Kesner, James S; Martin, Ian D; Meadows, Juliana W; Krieg, Edward F; Nieboer, Evert; Tsuji, Leonard J

    2016-04-01

    Persistent organohalogens (POHs) and metals have been linked to alterations in menstrual cycle function and fertility in humans. The Cree First Nations people living near James Bay in Ontario and Quebec, Canada, have elevated levels of POHs, mercury and lead compared to other Canadians. The present study examines the interrelationships between selected POHs and elements on menstrual cycle function in these Cree women. Menstrual cycle characteristics were derived from structured daily diaries and endocrine measurements from daily urine samples collected during one cycle for 42 women age 19-42. We measured 31 POHs in blood plasma and 18 elements in whole blood, for 31 of the participants. POHs and elements detected in ≥ 70% of the participants were transformed by principal component (PC) analysis to reduce the contaminant exposure data to fewer, uncorrelated PCA variables. Multiple regression analysis revealed that, after adjusting for confounders, PC-3 values showed significant negative association with cycle length, after adjusting for confounders (p = 0.002). PC-3 accounted for 9.2% of the variance and shows positive loadings for cadmium, selenium, and PBDE congeners 47 and 153, and a negative loading for copper. Sensitivity analysis of the model to quantify likely effect sizes showed a range of menstrual cycle length from 25.3 to 28.3 days using the lower and upper 95% confidence limits of mean measured contaminant concentrations to predict cycle length. Our observations support the hypothesis that the menstrual cycle function of these women may be altered by exposure to POHs and elements from their environment. Copyright © 2015. Published by Elsevier Ltd.

  4. Oral microbiota carriage in patients with multibracket appliance in relation to the quality of oral hygiene.

    PubMed

    Klaus, Katharina; Eichenauer, Johanna; Sprenger, Rhea; Ruf, Sabine

    2016-10-28

    The present study aimed to investigate the prevalence of oral microbiota (Candida species (spp.), Streptococcus mutans, and Lactobacilli) in patients with multibracket (MB) appliances in relation to the quality of oral hygiene. Saliva and plaque samples were collected from three groups of 25 patients each (good oral hygiene (GOH), poor oral hygiene (POH), and poor oral hygiene with white spot lesions (POH/WSL)). Counts of colony forming units (CFU) of the investigated oral microbiota were compared using Chi-square and Mann-Whitney U tests. Both saliva and plaque samples showed a high prevalence of Candida spp. in all patients (saliva: 73.4 %, plaque: 60.9 %). The main Candida species was C. albicans. The salivary CFU of Candida spp. in the GOH group was significantly lower than that in the POH group (p = 0.045) and POH/WSL group (p = 0.011). S. mutans was found in the saliva and plaque samples of all patients. Lactobacilli were found in the saliva samples of all patients and in 90.7 % of the plaque samples. In the saliva samples, the CFU of Lactobacilli were more numerous in the POH and POH/WSL groups than in the GOH group (p = 0.047). The investigated sample of patients showed a high carriage of oral Candida spp. Patients with WSL formation during MB appliance treatment exhibited higher counts of Candida and Lactobacilli compared with patients with good oral hygiene. Independent of oral hygiene quality, S. mutans was detected in all patients.

  5. 33 CFR 165.1107 - San Diego Bay, California.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... 33 Navigation and Navigable Waters 2 2013-07-01 2013-07-01 false San Diego Bay, California. 165... Navigation Areas and Limited Access Areas Eleventh Coast Guard District § 165.1107 San Diego Bay, California... docking/undocking operations at the U.S. Naval Submarine Base on Ballast Point, San Diego Bay, California...

  6. 33 CFR 165.1107 - San Diego Bay, California.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... 33 Navigation and Navigable Waters 2 2012-07-01 2012-07-01 false San Diego Bay, California. 165... Navigation Areas and Limited Access Areas Eleventh Coast Guard District § 165.1107 San Diego Bay, California... docking/undocking operations at the U.S. Naval Submarine Base on Ballast Point, San Diego Bay, California...

  7. 33 CFR 165.1107 - San Diego Bay, California.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... 33 Navigation and Navigable Waters 2 2014-07-01 2014-07-01 false San Diego Bay, California. 165... Navigation Areas and Limited Access Areas Eleventh Coast Guard District § 165.1107 San Diego Bay, California... docking/undocking operations at the U.S. Naval Submarine Base on Ballast Point, San Diego Bay, California...

  8. North elevation and second floor plan. San Bernardino Valley Union ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    North elevation and second floor plan. San Bernardino Valley Union Junior College, Science Building. Includes physics, geology, and zoology departments shelving. Howard E. Jones, Architect, San Bernardino, California. Sheet 4, job no. 311. Scales 1/8 inch to the foot (elevations) and 1/2 inch to the foot (shelving). February 15, 1927. - San Bernardino Valley College, Life Science Building, 701 South Mount Vernon Avenue, San Bernardino, San Bernardino County, CA

  9. East and west elevations. San Berardino Valley Union Junior College, ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    East and west elevations. San Berardino Valley Union Junior College, Science Building. Also includes elevations and sections of chemistry department shelving. Howard E. Jones, Architect, San Bernardino, California. Sheet 4, Job no. 311. Scales 1/8 inch to the foot (elevations) and 1/2 inch t other foot (shelving). February 15, 1927. - San Bernardino Valley College, Life Science Building, 701 South Mount Vernon Avenue, San Bernardino, San Bernardino County, CA

  10. Performance of San Fernando dams during 1994 Northridge earthquake

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

    Bardet, J.P.; Davis, C.A.

    1996-07-01

    The 1994 Northridge and 1971 San Fernando Earthquakes subjected the Lower and Upper San Fernando Dams of the Van Norman Complex in the San Fernando Valley, Calif., to strong near-source ground motions. In 1994, these earth dams, which were out of service and retained only a few meters of water, extensively cracked and settled due to the liquefaction of their hydraulic fill. The Lower San Fernando Dam moved over 15 cm upstream as the hydraulic fill liquefied beneath its upstream slope. The Upper San Fernando Dam moved even more and deformed in a complicated three-dimensional pattern. The responses of themore » Lower and Upper San Fernando Dams during the 1994 Northridge Earthquake, although less significant than in 1971, provide the geotechnical engineering community with two useful case histories.« less

  11. 19. REGIONAL MAP, SALINAS RIVER PROJECT, CAMP SAN LUIS OBISPO, ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    19. REGIONAL MAP, SALINAS RIVER PROJECT, CAMP SAN LUIS OBISPO, IN CENTRAL PORTION OF SAN LUIS OBISPO, CALIFORNIA. Leeds Hill Barnard & Jewett - Consulting Engineers, February 1942. - Salinas River Project, Cuesta Tunnel, Southeast of U.S. 101, San Luis Obispo, San Luis Obispo County, CA

  12. Modeling pesticide loadings from the San Joaquin watershed into the Sacramento-San Joaquin Delta using SWAT

    NASA Astrophysics Data System (ADS)

    Chen, H.; Zhang, M.

    2016-12-01

    The Sacramento-San Joaquin Delta is an ecologically rich, hydrologically complex area that serves as the hub of California's water supply. However, pesticides have been routinely detected in the Delta waterways, with concentrations exceeding the benchmark for the protection of aquatic life. Pesticide loadings into the Delta are partially attributed to the San Joaquin watershed, a highly productive agricultural watershed located upstream. Therefore, this study aims to simulate pesticide loadings to the Delta by applying the Soil and Water Assessment Tool (SWAT) model to the San Joaquin watershed, under the support of the USDA-ARS Delta Area-Wide Pest Management Program. Pesticide use patterns in the San Joaquin watershed were characterized by combining the California Pesticide Use Reporting (PUR) database and GIS analysis. Sensitivity/uncertainty analyses and multi-site calibration were performed in the simulation of stream flow, sediment, and pesticide loads along the San Joaquin River. Model performance was evaluated using a combination of graphic and quantitative measures. Preliminary results indicated that stream flow was satisfactorily simulated along the San Joaquin River and the major eastern tributaries, whereas stream flow was less accurately simulated in the western tributaries, which are ephemeral small streams that peak during winter storm events and are mainly fed by irrigation return flow during the growing season. The most sensitive parameters to stream flow were CN2, SOL_AWC, HRU_SLP, SLSUBBSN, SLSOIL, GWQMN and GW_REVAP. Regionalization of parameters is important as the sensitivity of parameters vary significantly spatially. In terms of evaluation metric, NSE tended to overrate model performance when compared to PBIAS. Anticipated results will include (1) pesticide use pattern analysis, (2) calibration and validation of stream flow, sediment, and pesticide loads, and (3) characterization of spatial patterns and temporal trends of pesticide yield.

  13. Constitutive properties of hypertrophied myocardium: cellular contribution to changes in myocardial stiffness

    NASA Technical Reports Server (NTRS)

    Harris, Todd S.; Baicu, Catalin F.; Conrad, Chester H.; Koide, Masaaki; Buckley, J. Michael; Barnes, Mary; Cooper, George 4th; Zile, Michael R.

    2002-01-01

    Recent studies have suggested that pressure overload hypertrophy (POH) alters the viscoelastic properties of individual cardiocytes when studied in isolation. However, whether these changes in cardiocyte properties contribute causally to changes in the material properties of the cardiac muscle as a whole is unknown. Accordingly, a selective, isolated, acute change in cardiocyte constitutive properties was imposed in an in vitro system capable of measuring the resultant effect on the material properties of the composite cardiac muscle. POH caused an increase in both myocardial elastic stiffness, from 20.5 +/- 1.3 to 28.4 +/- 1.8, and viscous damping, from 15.2 +/- 1.1 to 19.8 +/- 1.5 s (normal vs. POH, P < 0.05), respectively. Recent studies have shown that cardiocyte constitutive properties could be acutely altered by depolymerizing the microtubules with colchicine. Colchicine caused a significant decrease in the viscous damping in POH muscles (19.8 +/- 1.5 s at baseline vs. 14.7 +/- 1.3 s after colchicine, P < 0.05). Therefore, myocardial material properties can be altered by selectively changing the constitutive properties of one element within this muscle tissue, the cardiocyte. Changes in the constitutive properties of the cardiocytes themselves contribute to the abnormalities in myocardial stiffness and viscosity that develop during POH.

  14. Sediment characteristics in the San Antonio River Basin downstream from San Antonio, Texas, and at a site on the Guadalupe River downstream from the San Antonio River Basin, 1966-2013

    USGS Publications Warehouse

    Crow, Cassi L.; Banta, J. Ryan; Opsahl, Stephen P.

    2014-01-01

    San Antonio and surrounding municipalities in Bexar County, Texas, are in a rapidly urbanizing region in the San Antonio River Basin. The U.S. Geological Survey, in cooperation with the San Antonio River Authority and the Texas Water Development Board, compiled historical sediment data collected between 1996 and 2004 and collected suspended-sediment and bedload samples over a range of hydrologic conditions in the San Antonio River Basin downstream from San Antonio, Tex., and at a site on the Guadalupe River downstream from the San Antonio River Basin during 2011–13. In the suspended-sediment samples collected during 2011–13, an average of about 94 percent of the particles was less than 0.0625 millimeter (silt and clay sized particles); the 50 samples for which a complete sediment-size analysis was performed indicated that an average of about 69 percent of the particles was less than 0.002 millimeter. In the bedload samples collected during 2011–13, an average of 51 percent of sediment particles was sand-sized particles in the 0.25–0.5 millimeter-size range. In general, the loads calculated from the samples indicated that bedload typically composed less than 1 percent of the total sediment load. A least-squares log-linear regression was developed between suspended-sediment concentration and instantaneous streamflow and was used to estimate daily mean suspended-sediment loads based on daily mean streamflow. The daily mean suspended-sediment loads computed for each of the sites indicated that during 2011–12, the majority of the suspended-sediment loads originated upstream from the streamflow-gaging station on the San Antonio River near Elmendorf, Tex. A linear regression relation was developed between turbidity and suspended-sediment concentration data collected at the San Antonio River near Elmendorf site because the high-resolution data can facilitate understanding of the complex suspended-sediment dynamics over time and throughout the river basin.

  15. 78 FR 39588 - Special Local Regulations; Revision of 2013 America's Cup Regulated Area, San Francisco Bay; San...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-07-02

    ...-AA08 Special Local Regulations; Revision of 2013 America's Cup Regulated Area, San Francisco Bay; San...: The Coast Guard is revising the regulated area for the 2013 America's Cup sailing events. Previously... final rule regulating the on-water activities associated with the ``Louis Vuitton Cup,'' ``Red Bull...

  16. 77 FR 50921 - Safety Zone: Bay Bridge Load Transfer Safety Zone, San Francisco Bay, San Francisco, CA

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-08-23

    ...-AA00 Safety Zone: Bay Bridge Load Transfer Safety Zone, San Francisco Bay, San Francisco, CA AGENCY... the Bay Bridge Load Transfer Safety Zone from August 1, 2012 through October 31, 2012. This safety... Bay Bridge from the temporary suspension arrangement to the permanent suspension arrangement, the...

  17. Distribution and demography of San Francisco gartersnakes (Thamnophis sirtalis tetrataenia) at Mindego Ranch, Russian Ridge Open Space Preserve, San Mateo County, California

    USGS Publications Warehouse

    Kim, Richard; Halstead, Brian J.; Wylie, Glenn D.; Casazza, Michael L.

    2018-04-26

    San Francisco gartersnakes (Thamnophis sirtalis tetrataenia) are a subspecies of common gartersnakes endemic to the San Francisco Peninsula of northern California. Because of habitat loss and collection for the pet trade, San Francisco gartersnakes were listed as endangered under the precursor to the Federal Endangered Species Act. A population of San Francisco gartersnakes resides at Mindego Ranch, San Mateo County, which is part of the Russian Ridge Open Space Preserve owned and managed by the Midpeninsula Regional Open Space District (MROSD). Because the site contained non-native fishes and American bullfrogs (Lithobates catesbeianus), MROSD implemented management to eliminate or reduce the abundance of these non-native species in 2014. We monitored the population using capture-mark-recapture techniques to document changes in the population during and following management actions. Although drought confounded some aspects of inference about the effects of management, prey and San Francisco gartersnake populations generally increased following draining of Aquatic Feature 3. Continued management of the site to keep invasive aquatic predators from recolonizing or increasing in abundance, as well as vegetation management that promotes heterogeneous grassland/shrubland near wetlands, likely would benefit this population of San Francisco gartersnakes.

  18. 1. SAN FRANCISCO STREET PROFILES: Photocopy of engraving, c. 1880, ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    1. SAN FRANCISCO STREET PROFILES: Photocopy of engraving, c. 1880, showing street profiles of three San Francisco cable lines. Figure 7, at bottom of engraving, is the profile of Hallidie's Clay Street Hill Railroad. Figures 8 and 9 show the grades for the California Street Cable Railroad and the Geary Street Park & Ocean Railroad respectively. Note the lack of significant grades along Geary Street. - San Francisco Cable Railway, Washington & Mason Streets, San Francisco, San Francisco County, CA

  19. Elevation and plan of east side entrance. San Bernardino Valley ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    Elevation and plan of east side entrance. San Bernardino Valley Union Junior College, Library Building. Also includes sections II and SS of entrance hall; and a stress diagram of steel truss. Howard E. Jones, Architect, San Bernardino, California. Sheet 7, job no. 315. Scale 1/2 inch to the foot. No date given on sheet (probably March or April, 1927). - San Bernardino Valley College, Library, 701 South Mount Vernon Avenue, San Bernardino, San Bernardino County, CA

  20. West elevation. San Bernardino Valley Union Junior College, Science Building. ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    West elevation. San Bernardino Valley Union Junior College, Science Building. Also includes plan of entrance, section EE showing tiling and typical transom design, and a full size detail of a door jamb for inside concrete walls. Howard E. Jones, Architect, San Bernardino, California. Sheet 7, job no. 311. Scale 1.2 inch to the foot. February 15, 1927. - San Bernardino Valley College, Life Science Building, 701 South Mount Vernon Avenue, San Bernardino, San Bernardino County, CA

  1. 78 FR 48044 - Safety Zone; San Diego International Airport Terminal Two West Grand Opening Fireworks; San Diego...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-08-07

    ...-AA00 Safety Zone; San Diego International Airport Terminal Two West Grand Opening Fireworks; San Diego... Opening of Lindbergh Airport Terminal Two West on August 8, 2013. This temporary safety zone is necessary... Diego International Airport Terminal Two grand opening. This safety zone is necessary to provide for the...

  2. 78 FR 28800 - Foreign-Trade Zone 61-San Juan, Puerto Rico; Application for Subzone; Parapiezas Corporation; San...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-05-16

    ..., Puerto Rico; Application for Subzone; Parapiezas Corporation; San Juan, Puerto Rico An application has been submitted to the Foreign-Trade Zones Board (the Board) by the Puerto Rico Trade & Export Company... located in San Juan, Puerto Rico. The application was submitted pursuant to the provisions of the Foreign...

  3. 78 FR 21397 - Don Edwards San Francisco Bay National Wildlife Refuge, Alameda, Santa Clara, and San Mateo...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-04-10

    ...) 792-5828. Mail: U.S. Fish and Wildlife Service, San Francisco Bay NWR Complex, 1 Marshlands Road... the San Francisco Bay National Wildlife Refuge Complex, 1 Marshlands Road, Fremont, CA 94555 (510) 792... and environmental education. We announce our decision and the availability of the FONSI for the final...

  4. Geophysical Surveys of the San Andreas and Crystal Springs Reservoir System Including Seismic-Reflection Profiles and Swath Bathymetry, San Mateo County, California

    USGS Publications Warehouse

    Finlayson, David P.; Triezenberg, Peter J.; Hart, Patrick E.

    2010-01-01

    This report describes geophysical data acquired by the U.S. Geological Survey (USGS) in San Andreas Reservoir and Upper and Lower Crystal Springs Reservoirs, San Mateo County, California, as part of an effort to refine knowledge of the location of traces of the San Andreas Fault within the reservoir system and to provide improved reservoir bathymetry for estimates of reservoir water volume. The surveys were conducted by the Western Coastal and Marine Geology (WCMG) Team of the USGS for the San Francisco Public Utilities Commission (SFPUC). The data were acquired in three separate surveys: (1) in June 2007, personnel from WCMG completed a three-day survey of San Andreas Reservoir, collecting approximately 50 km of high-resolution Chirp subbottom seismic-reflection data; (2) in November 2007, WCMG conducted a swath-bathymetry survey of San Andreas reservoir; and finally (3) in April 2008, WCMG conducted a swath-bathymetry survey of both the upper and lower Crystal Springs Reservoir system. Top of PageFor more information, contact David Finlayson.

  5. Examination of spotted sand bass (Paralabrax maculatofasciatus) pollutant bioaccumulation in San Diego Bay, San Diego, California

    PubMed Central

    2013-01-01

    The spotted sand bass (Paralabrax maculatofasciatus) is an important recreational sport and subsistence food fish within San Diego Bay, a large industrialized harbor in San Diego, California. Despite this importance, few studies examining the species life history relative to pollutant tissue concentrations and the consumptive fishery exist. This study utilized data from three independent spotted sand bass studies from 1989 to 2002 to investigate PCB, DDT, and mercury tissue concentrations relative to spotted sand bass age and growth in San Diego Bay, with subsequent comparisons to published pollutant advisory levels and fishery regulations for recreational and subsistence consumption of the species. Subsequent analysis focused on examining temporal and spatial differences for different regions of San Diego Bay. Study results for growth confirmed previous work, finding the species to exhibit highly asymptotic growth, making tissue pollutant concentrations at initial take size difficult if not impossible to predict. This was corroborated by independent tissue concentration results for mercury, which found no relationship between fish size and pollutant bioaccumulation observed. However, a positive though highly variable relationship was observed between fish size and PCB tissue concentration. Despite these findings, a significant proportion of fish exhibited pollutant levels above recommended state recreational angler consumption advisory levels for PCBs and mercury, especially for fish above the minimum take size, making the necessity of at-size predictions less critical. Lastly, no difference in tissue concentration was found temporally or spatially within San Diego Bay. PMID:24282672

  6. Examination of spotted sand bass (Paralabrax maculatofasciatus) pollutant bioaccumulation in San Diego Bay, San Diego, California.

    PubMed

    Loflen, Chad L

    2013-01-01

    The spotted sand bass (Paralabrax maculatofasciatus) is an important recreational sport and subsistence food fish within San Diego Bay, a large industrialized harbor in San Diego, California. Despite this importance, few studies examining the species life history relative to pollutant tissue concentrations and the consumptive fishery exist. This study utilized data from three independent spotted sand bass studies from 1989 to 2002 to investigate PCB, DDT, and mercury tissue concentrations relative to spotted sand bass age and growth in San Diego Bay, with subsequent comparisons to published pollutant advisory levels and fishery regulations for recreational and subsistence consumption of the species. Subsequent analysis focused on examining temporal and spatial differences for different regions of San Diego Bay. Study results for growth confirmed previous work, finding the species to exhibit highly asymptotic growth, making tissue pollutant concentrations at initial take size difficult if not impossible to predict. This was corroborated by independent tissue concentration results for mercury, which found no relationship between fish size and pollutant bioaccumulation observed. However, a positive though highly variable relationship was observed between fish size and PCB tissue concentration. Despite these findings, a significant proportion of fish exhibited pollutant levels above recommended state recreational angler consumption advisory levels for PCBs and mercury, especially for fish above the minimum take size, making the necessity of at-size predictions less critical. Lastly, no difference in tissue concentration was found temporally or spatially within San Diego Bay.

  7. San Francisco and Bay Area, CA, USA

    NASA Image and Video Library

    1973-06-22

    SL2-03-118 (June 1973) --- An infrared photograph of the San Francisco Bay, California area, taken from the Skylab 1/2 space station in Earth orbit. THE PICTURE SHOULD BE HELD WITH THE CLOUDS AND PACIFIC OCEAN ON THE LEFT. This photograph was taken by one of the six lenses of the Itek-furnished S190-A Multispectral Photographic Facility Experiment in the Multiple Docking Adapter of the space station. Type 2443 film was used. Note the thickly populated and highly developed area around the bay. Among the cities visible in this photograph are San Francisco, Oakland, Berkeley and San Jose. This view extends eastward to show a portion of the San Joaquin Valley. The S190-A experiment is part of the Skylab Earth Resources Experiment Package (EREP). Photo credit: NASA

  8. 75 FR 61611 - Modification of Class E Airspace; San Clemente, CA

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-10-06

    ... [Modified] San Clemente Island NALF (Fredrick Sherman Field), CA (Lat. 33[deg]01'22'' N., long. 118[deg]35'19'' W.) San Clemente Island TACAN (Lat. 33[deg]01'37'' N., long. 118[deg]34'46'' W.) That airspace... San Clemente, CA. Decommissioning of the San Clemente Island Non-Directional Radio Beacon (NDB) at San...

  9. Smoking Cessation Can Reduce the Incidence of Postoperative Hypoxemia After On-Pump Coronary Artery Bypass Grafting Surgery.

    PubMed

    Guan, Zheng; Lv, Yi; Liu, Jingjie; Liu, Lin; Yuan, Hui; Shen, Xin

    2016-12-01

    To determine whether smoking cessation can reduce the incidence of postoperative hypoxemia (POH) after on-pump coronary artery bypass grafting (CABG) surgery. Prospective, single-center, observational study. Single-center university teaching hospital. The study comprised 300 patients undergoing on-pump CABG surgery who met the inclusion criteria. Patients were divided into the following 3 groups according to smoking status: sustained quitters (n = 132)-smoking cessation for more than 1 month and less than 1 year; quitters (n = 95)-smoking cessation for more than 1 week and less than 1 month; and smokers (n = 73)-smoking at least 1 cigarette per day for at least 1 year. None. The primary outcome was the incidence of POH after on-pump CABG surgery. Secondary outcomes included length of postoperative mechanical ventilation and intensive care unit stay between the POH group and non-POH group. There were significant decreases of POH incidence in the sustained quitters and quitters compared with the smokers both after intensive care unit (ICU) admission and 24 hours after surgery (18.2%, 18.9%, v 32.9%; p = 0.036 and 9.8%, 10.5%, v 26%; p = 0.003, respectively), and there was no significant difference in POH incidence between the sustained quitters and quitters. The length of postoperative mechanical ventilation was longer in smokers than in sustained quitters and quitters (15.9±6.1 h v 11.9±5.3 h and 13.0±5.8 h, respectively; p<0.05), but there were no significant differences in the length of ICU stay among the 3 groups (54.2±7.5 h v 55.1±7.5 h and 53.7±6.6 h, respectively; p = 0.333). Smoking cessation can reduce POH after on-pump CABG surgery, and it also can shorten the length of postoperative mechanical ventilation. Copyright © 2016 Elsevier Inc. All rights reserved.

  10. San Francisco Bay Long Term Management Strategy for Dredging

    EPA Pesticide Factsheets

    The San Francisco Bay Long Term Management Strategy (LTMS) is a cooperative effort to develop a new approach to dredging and dredged material disposal in the San Francisco Bay area. The LTMS serves as the Regional Dredging Team for the San Francisco area.

  11. 76 FR 22809 - Safety Zone; Bay Ferry II Maritime Security Exercise; San Francisco Bay, San Francisco, CA

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-04-25

    ...-AA00 Safety Zone; Bay Ferry II Maritime Security Exercise; San Francisco Bay, San Francisco, CA AGENCY... Security Exercise, a multi-agency exercise that tests the proficiency of teams called upon in real [[Page... exercise, many of whom will be traveling at high speeds while interfacing with law enforcement responders...

  12. ASTER Images San Francisco Bay Area

    NASA Technical Reports Server (NTRS)

    2000-01-01

    This image of the San Francisco Bay region was acquired on March 3, 2000 by the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) on NASA's Terra satellite. With its 14 spectral bands from the visible to the thermal infrared wavelength region, and its high spatial resolution of 15 to 90 meters about 50 to 300 feet ), ASTER will image Earth for the next 6 years to map and monitor the changing surface of our planet.

    Image: This image covers an area 60 kilometers (37 miles) wide and 75 kilometers (47 miles) long in three bands of the reflected visible and infrared wavelength region. The combination of bands portrays vegetation in red, and urban areas in gray. Sediment in the Suisun Bay, San Pablo Bay, San Francisco Bay, and the Pacific Ocean shows up as lighter shades of blue. Along the west coast of the San Francisco Peninsula, strong surf can be seen as a white fringe along the shoreline. A powerful rip tide is visible extending westward from Daly City into the Pacific Ocean. In the lower right corner, the wetlands of the South San Francisco Bay National Wildlife Refuge appear as large dark blue and brown polygons. The high spatial resolution of ASTER allows fine detail to be observed in the scene. The main bridges of the area (San Mateo, San Francisco-Oakland Bay, Golden Gate, Richmond-San Rafael, Benicia-Martinez, and Carquinez) are easily picked out, connecting the different communities in the Bay area. Shadows of the towers along the Bay Bridge can be seen over the adjacent bay water. With enlargement the entire road network can be easily mapped; individual buildings are visible, including the shadows of the high-rises in downtown San Francisco.

    Inset: This enlargement of the San Francisco Airport highlights the high spatial resolution of ASTER. With further enlargement and careful examination, airplanes can be seen at the terminals.

    Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) is one of five Earth

  13. 75 FR 8804 - Safety Zone; NASSCO Launching of USNS Charles Drew, San Diego Bay, San Diego, CA.

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-02-26

    ...-AA00 Safety Zone; NASSCO Launching of USNS Charles Drew, San Diego Bay, San Diego, CA. AGENCY: Coast... United States Naval Ship (USNS) Charles Drew. The safety zone is necessary to provide for the safety of... to the safety of the USNS Charles Drew and surrounding vessels as this ship launches from NASSCO...

  14. Quaternary geology of Alameda County, and parts of Contra Costa, Santa Clara, San Mateo, San Francisco, Stanislaus, and San Joaquin counties, California: a digital database

    USGS Publications Warehouse

    Helley, E.J.; Graymer, R.W.

    1997-01-01

    Alameda County is located at the northern end of the Diablo Range of Central California. It is bounded on the north by the south flank of Mount Diablo, one of the highest peaks in the Bay Area, reaching an elevation of 1173 meters (3,849 ft). San Francisco Bay forms the western boundary, the San Joaquin Valley borders it on the east and an arbitrary line from the Bay into the Diablo Range forms the southern boundary. Alameda is one of the nine Bay Area counties tributary to San Francisco Bay. Most of the country is mountainous with steep rugged topography. Alameda County is covered by twenty-eight 7.5' topographic Quadrangles which are shown on the index map. The Quaternary deposits in Alameda County comprise three distinct depositional environments. One, forming a transgressive sequence of alluvial fan and fan-delta facies, is mapped in the western one-third of the county. The second, forming only alluvial fan facies, is mapped in the Livermore Valley and San Joaquin Valley in the eastern part of the county. The third, forming a combination of Eolian dune and estuarine facies, is restricted to the Alameda Island area in the northwestern corner of the county.

  15. San Francisco Bay Water Quality Improvement Fund

    EPA Pesticide Factsheets

    EPAs grant program to protect and restore San Francisco Bay. The San Francisco Bay Water Quality Improvement Fund (SFBWQIF) has invested in 58 projects along with 70 partners contributing to restore wetlands, water quality, and reduce polluted runoff.,

  16. Are the Affordable Care Act Restrictions Warranted? A Contemporary Statewide Analysis of Physician-Owned Hospitals.

    PubMed

    Lundgren, Daniel K; Courtney, Paul M; Lopez, Joshua A; Kamath, Atul F

    2016-09-01

    The Affordable Care Act placed a moratorium on physician-owned hospital (POH) expansion. Concern exists that POHs increase costs and target healthier patients. However, limited historical data support these claims and are not weighed against contemporary measures of quality and patient satisfaction. The purpose of this study was to investigate the quality, costs, and efficiency across hospital types. One hundred forty-five hospitals in a single state were analyzed: 8 POHs; 16 proprietary hospitals (PHs); and 121 general, full-service acute care hospitals (ACHs). Multiyear data from the Centers for Medicare and Medicaid Services Medicare Cost Report and the statewide Health Care Cost Containment Council were analyzed. ACHs had a higher percentage of Medicare patients as a share of net patient revenue, with similar Medicare volume. POHs garnered significantly higher patient satisfaction: mean Hospital Consumer Assessment of Healthcare Providers and Systems summary rating was 4.86 (vs PHs: 2.88, ACHs: 3.10; P = .002). POHs had higher average total episode spending ($22,799 vs PHs: $18,284, ACHs: $18,856), with only $1435 of total spending on post-acute care (vs PHs: $3867, ACHs: $3378). Medicare spending per beneficiary and Medicare spending per beneficiary performance rates were similar across all hospital types, as were complication and readmission rates related to hip or knee surgery. POHs had better patient satisfaction, with higher total costs compared to PHs and ACHs. A focus on efficiency, patient satisfaction, and ratio of inpatient-to-post-acute care spending should be weighted carefully in policy decisions that might impact access to quality health care. Copyright © 2016 Elsevier Inc. All rights reserved.

  17. San Francisco vessel traffic service watchstander analysis

    DOT National Transportation Integrated Search

    1979-11-01

    A team of human factors specialists analyzed the performance of watchstanders in the U.S. Coast Guard's San Francisco Vessel Traffic Center at Yerba Buena Island, San Francisco, California. Data collected included copies of the center's forms and log...

  18. San Diego's High School Dropout Crisis

    ERIC Educational Resources Information Center

    Wilson, James C.

    2012-01-01

    This article highlights San Diego's dropout problem and how much it's costing the city and the state. Most San Diegans do not realize the enormous impact high school dropouts on their city. The California Dropout Research Project, located at the University of California at Santa Barbara, has estimated the lifetime cost of one class or cohort of…

  19. Neogene contraction between the San Andreas fault and the Santa Clara Valley, San Francisco Bay region, California

    USGS Publications Warehouse

    McLaughlin, R.J.; Langenheim, V.E.; Schmidt, K.M.; Jachens, R.C.; Stanley, R.G.; Jayko, A.S.; McDougall, K.A.; Tinsley, J.C.; Valin, Z.C.

    1999-01-01

    In the southern San Francisco Bay region of California, oblique dextral reverse faults that verge northeastward from the San Andreas fault experienced triggered slip during the 1989 M7.1 Loma Prieta earthquake. The role of these range-front thrusts in the evolution of the San Andreas fault system and the future seismic hazard that they may pose to the urban Santa Clara Valley are poorly understood. Based on recent geologic mapping and geophysical investigations, we propose that the range-front thrust system evolved in conjunction with development of the San Andreas fault system. In the early Miocene, the region was dominated by a system of northwestwardly propagating, basin-bounding, transtensional faults. Beginning as early as middle Miocene time, however, the transtensional faulting was superseded by transpressional NE-stepping thrust and reverse faults of the range-front thrust system. Age constraints on the thrust faults indicate that the locus of contraction has focused on the Monte Vista, Shannon, and Berrocal faults since about 4.8 Ma. Fault slip and fold reconstructions suggest that crustal shortening between the San Andreas fault and the Santa Clara Valley within this time frame is ~21%, amounting to as much as 3.2 km at a rate of 0.6 mm/yr. Rates probably have not remained constant; average rates appear to have been much lower in the past few 100 ka. The distribution of coseismic surface contraction during the Loma Prieta earthquake, active seismicity, late Pleistocene to Holocene fluvial terrace warping, and geodetic data further suggest that the active range-front thrust system includes blind thrusts. Critical unresolved issues include information on the near-surface locations of buried thrusts, the timing of recent thrust earthquake events, and their recurrence in relation to earthquakes on the San Andreas fault.

  20. 76 FR 10945 - San Luis Trust Bank, FSB, San Luis Obispo, CA; Notice of Appointment of Receiver

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-02-28

    ... DEPARTMENT OF THE TREASURY Office of Thrift Supervision San Luis Trust Bank, FSB, San Luis Obispo... contained in section 5(d)(2) of the Home Owners' Loan Act, the Office of Thrift Supervision has duly... Thrift Supervision. Sandra E. Evans, Federal Register Liaison. [FR Doc. 2011-4306 Filed 2-25-11; 8:45 am...

  1. 1. Historic American Buildings Survey San Francisco Chronicle Library Rephoto ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    1. Historic American Buildings Survey San Francisco Chronicle Library Re-photo May 1940 TAKEN 1849-50 - Abandoned Ships, Historic View, 1849-1850, Yerba Beuna Cove, San Francisco, San Francisco County, CA

  2. 1. Historic American Buildings Survey San Francisco Chronicle Library Rephoto ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    1. Historic American Buildings Survey San Francisco Chronicle Library Re-photo May 1940 TOTALLY DESTROYED - Old U. S. Custom House, Historic View, Battery & Washington Streets, San Francisco, San Francisco County, CA

  3. Viscoelastic properties of pressure overload hypertrophied myocardium: effect of serine protease treatment

    NASA Technical Reports Server (NTRS)

    Stroud, Jason D.; Baicu, Catalin F.; Barnes, Mary A.; Spinale, Francis G.; Zile, Michael R.

    2002-01-01

    To determine whether and to what extent one component of the extracellular matrix, fibrillar collagen, contributes causally to abnormalities in viscoelasticity, collagen was acutely degraded by activation of endogenous matrix metalloproteinases (MMPs) with the serine protease plasmin. Papillary muscles were isolated from normal cats and cats with right ventricular pressure overload hypertrophy (POH) induced by pulmonary artery banding. Plasmin treatment caused MMP activation, collagen degradation, decreased the elastic stiffness constant, and decreased the viscosity constant in both normal and POH muscles. Thus, whereas many mechanisms may contribute to the abnormalities in myocardial viscoelasticity in the POH myocardium, changes in fibrillar collagen appear to play a predominant role.

  4. Environmental regulatory failure and metal contamination at the Giap Lai pyrite mine, Northern Vietnam.

    PubMed

    Håkan Tarras-Wahlberg, N; Nguyen, Lan T

    2008-03-01

    The causes for the failure in enforcement of environmental regulations at the Giap Lai pyrite mine in northern Vietnam are considered and the environmental impacts that are associated with this mine are evaluated. It is shown that sulphide-rich tailings and waste rock in the mining area represent significant sources of acid rock drainage (ARD). The ARD is causing elevated metal levels in downstream water bodies, which in turn, represent a threat to both human health and to aquatic ecosystems. Metal concentrations in impacted surface waters have increased after mine closure, suggesting that impacts are becoming progressively more serious. No post-closure, remediation measures have been applied at the mine, in spite of the existence of environmental legislation and both central and regional institutions charged with environmental supervision and control. The research presented here provides further emphasis for the recommendation that, while government institutions may need to be strengthened, and environmental regulations need to be in place, true on the ground improvement in environmental quality in Vietnam and in many other developing countries require an increased focus on promoting public awareness of industrial environmental issues.

  5. GENERAL VIEW OF NORTH SAN GABRIEL RIVER BRIDGE, NORTH APPROACH, ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    GENERAL VIEW OF NORTH SAN GABRIEL RIVER BRIDGE, NORTH APPROACH, LOOKING SOUTH. - North San Gabriel River Bridge, Spanning North Fork of San Gabriel River at Business Route 35, Georgetown, Williamson County, TX

  6. GENERAL VIEW OF NORTH SAN GABRIEL RIVER BRIDGE, NORTH ABUTMENT, ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    GENERAL VIEW OF NORTH SAN GABRIEL RIVER BRIDGE, NORTH ABUTMENT, LOOKING NORTHWEST. - North San Gabriel River Bridge, Spanning North Fork of San Gabriel River at Business Route 35, Georgetown, Williamson County, TX

  7. DETAIL OF NORTH SAN GABRIEL RIVER BRIDGE, PICKET HAND RAIL, ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    DETAIL OF NORTH SAN GABRIEL RIVER BRIDGE, PICKET HAND RAIL, LOOKING WEST. - North San Gabriel River Bridge, Spanning North Fork of San Gabriel River at Business Route 35, Georgetown, Williamson County, TX

  8. DETAIL OF NORTH SAN GABRIEL RIVER BRIDGE, CANTILEVER SPAN CONNECTION, ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    DETAIL OF NORTH SAN GABRIEL RIVER BRIDGE, CANTILEVER SPAN CONNECTION, LOOKING SOUTHEAST. - North San Gabriel River Bridge, Spanning North Fork of San Gabriel River at Business Route 35, Georgetown, Williamson County, TX

  9. GENERAL VIEW OF NORTH SAN GABRIEL RIVER BRIDGE, EAST SIDE, ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    GENERAL VIEW OF NORTH SAN GABRIEL RIVER BRIDGE, EAST SIDE, LOOKING SOUTHWEST. - North San Gabriel River Bridge, Spanning North Fork of San Gabriel River at Business Route 35, Georgetown, Williamson County, TX

  10. 8. GENERAL VIEW FROM SOUTHEAST (Title Insurance Co. collection, San ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    8. GENERAL VIEW FROM SOUTHEAST (Title Insurance Co. collection, San Diego Historical Society). Historical view, no date, photocopied for HABS, 1975 - Long-Waterman House, 2408 First Avenue, San Diego, San Diego County, CA

  11. 1. Historic American Buildings Survey San Francisco Chronicle Photo Undated ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    1. Historic American Buildings Survey San Francisco Chronicle Photo Undated (by Taber) ca. 1885 GREENWICH STREET HOUSES (From Powell to Kearny) - Telegraph Hill, Historic View, Greenwich Street, San Francisco, San Francisco County, CA

  12. 27 CFR 9.194 - San Antonio Valley.

    Code of Federal Regulations, 2010 CFR

    2010-04-01

    ... boundary line of sections 22, 27, and 34, T24S, R10E, to the Monterey-San Luis Obispo County line; then (5) Follow the Monterey-San Luis Obispo County line west for approximately 7.0 miles, back onto the Tierra...

  13. 33 CFR 110.74c - Bahia de San Juan, PR.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... 33 Navigation and Navigable Waters 1 2010-07-01 2010-07-01 false Bahia de San Juan, PR. 110.74c... ANCHORAGE REGULATIONS Special Anchorage Areas § 110.74c Bahia de San Juan, PR. The waters of San Antonio Channel, Bahia de San Juan, eastward of longitude 66°05′45″ W. [CGD 7-83-29, 49 FR 48540, Dec. 13, 1984] ...

  14. 33 CFR 110.74c - Bahia de San Juan, PR.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... 33 Navigation and Navigable Waters 1 2011-07-01 2011-07-01 false Bahia de San Juan, PR. 110.74c... ANCHORAGE REGULATIONS Special Anchorage Areas § 110.74c Bahia de San Juan, PR. The waters of San Antonio Channel, Bahia de San Juan, eastward of longitude 66°05′45″ W. [CGD 7-83-29, 49 FR 48540, Dec. 13, 1984] ...

  15. DETAIL OF SOUTH SAN GABRIEL RIVER BRIDGE, CANTILEVER SPAN CONNECTION, ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    DETAIL OF SOUTH SAN GABRIEL RIVER BRIDGE, CANTILEVER SPAN CONNECTION, LOOKING NORTHWEST. - South San Gabriel River Bridge, Spanning South Fork of San Gabriel River at Georgetown at Business Route 35, Georgetown, Williamson County, TX

  16. GENERAL VIEW OF SOUTH SAN GABRIEL RIVER BRIDGE, RIVER SPAN, ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    GENERAL VIEW OF SOUTH SAN GABRIEL RIVER BRIDGE, RIVER SPAN, LOOKING NORTHWEST. - South San Gabriel River Bridge, Spanning South Fork of San Gabriel River at Georgetown at Business Route 35, Georgetown, Williamson County, TX

  17. GENERAL VIEW OF SOUTH SAN GABRIEL RIVER BRIDGE, WEST SIDE, ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    GENERAL VIEW OF SOUTH SAN GABRIEL RIVER BRIDGE, WEST SIDE, LOOKING EAST. - South San Gabriel River Bridge, Spanning South Fork of San Gabriel River at Georgetown at Business Route 35, Georgetown, Williamson County, TX

  18. GENERAL VIEW OF SOUTH SAN GABRIEL RIVER BRIDGE, SOUTH ABUTMENT, ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    GENERAL VIEW OF SOUTH SAN GABRIEL RIVER BRIDGE, SOUTH ABUTMENT, LOOKING SOUTHWEST. - South San Gabriel River Bridge, Spanning South Fork of San Gabriel River at Georgetown at Business Route 35, Georgetown, Williamson County, TX

  19. GENERAL VIEW OF SOUTH SAN GABRIEL RIVER BRIDGE, SOUTH APPROACH, ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    GENERAL VIEW OF SOUTH SAN GABRIEL RIVER BRIDGE, SOUTH APPROACH, LOOKING NORTH. - South San Gabriel River Bridge, Spanning South Fork of San Gabriel River at Georgetown at Business Route 35, Georgetown, Williamson County, TX

  20. DETAIL OF SOUTH SAN GABRIEL RIVER BRIDGE, PICKET HAND RAIL, ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    DETAIL OF SOUTH SAN GABRIEL RIVER BRIDGE, PICKET HAND RAIL, LOOKING WEST. - South San Gabriel River Bridge, Spanning South Fork of San Gabriel River at Georgetown at Business Route 35, Georgetown, Williamson County, TX

  1. VIEW OF NORTH SAN GABRIEL RIVER BRIDGE, FLOOR SYSTEM AND ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    VIEW OF NORTH SAN GABRIEL RIVER BRIDGE, FLOOR SYSTEM AND LATERAL BRACING, LOOKING SOUTH. - North San Gabriel River Bridge, Spanning North Fork of San Gabriel River at Business Route 35, Georgetown, Williamson County, TX

  2. 1. Historic American Buildings Survey San Francisco Chronicle Library ca. ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    1. Historic American Buildings Survey San Francisco Chronicle Library ca. 1865 ORIGINAL SITE - RIGHT FOREGROUND (On Market Street) - Holy Cross Parish Hall, Eddy Street (moved from Market & Second Streets), San Francisco, San Francisco County, CA

  3. 78 FR 58878 - Safety Zone; San Diego Shark Fest Swim; San Diego Bay, San Diego, CA

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-09-25

    ... this rule because the logistical details of the San Diego Shark Fest Swim were not finalized nor... Local Notice to Mariners and Broadcast Notice to Mariners. D. Regulatory Analyses We developed this rule... analyses based on a number of these statutes and executive orders. 1. Regulatory Planning and Review This...

  4. VIEW OF SOUTH SAN GABRIEL RIVER BRIDGE, FLOOR SYSTEM AND ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    VIEW OF SOUTH SAN GABRIEL RIVER BRIDGE, FLOOR SYSTEM AND LATERAL BRACING, LOOKING NORTH. - South San Gabriel River Bridge, Spanning South Fork of San Gabriel River at Georgetown at Business Route 35, Georgetown, Williamson County, TX

  5. 1. GENERAL VIEW OF COMPLEX (drawing from History of San ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    1. GENERAL VIEW OF COMPLEX (drawing from History of San Diego County, California, published 1883. Photocopy 1975 by Bert Shankland, San Diego). - Johnson-Taylor Ranch House, Black Mountain Road vicinity, Rancho Penasquitos, San Diego County, CA

  6. Fault geometry and cumulative offsets in the central Coast Ranges, California: Evidence for northward increasing slip along the San Gregorio-San Simeon-Hosgri fault

    USGS Publications Warehouse

    Langenheim, V.E.; Jachens, R.C.; Graymer, R.W.; Colgan, J.P.; Wentworth, C.M.; Stanley, R.G.

    2012-01-01

    Estimates of the dip, depth extent, and amount of cumulative displacement along the major faults in the central California Coast Ranges are controversial. We use detailed aeromagnetic data to estimate these parameters for the San Gregorio–San Simeon–Hosgri and other faults. The recently acquired aeromagnetic data provide an areally consistent data set that crosses the onshore-offshore transition without disruption, which is particularly important for the mostly offshore San Gregorio–San Simeon–Hosgri fault. Our modeling, constrained by exposed geology and in some cases, drill-hole and seismic-reflection data, indicates that the San Gregorio–San Simeon–Hosgri and Reliz-Rinconada faults dip steeply throughout the seismogenic crust. Deviations from steep dips may result from local fault interactions, transfer of slip between faults, or overprinting by transpression since the late Miocene. Given that such faults are consistent with predominantly strike-slip displacement, we correlate geophysical anomalies offset by these faults to estimate cumulative displacements. We find a northward increase in right-lateral displacement along the San Gregorio–San Simeon–Hosgri fault that is mimicked by Quaternary slip rates. Although overall slip rates have decreased over the lifetime of the fault, the pattern of slip has not changed. Northward increase in right-lateral displacement is balanced in part by slip added by faults, such as the Reliz-Rinconada, Oceanic–West Huasna, and (speculatively) Santa Ynez River faults to the east.

  7. The San Dimas experimental forest: 50 years of research

    Treesearch

    Paul H. Dunn; Susan C. Barro; Wade G. Wells; Mark A Poth; Peter M. Wohlgemuth; Charles G. Colver

    1988-01-01

    The San Dimas Experimental Forest serves as a field laboratory for studies of chaparral and related ecosystems, and has been recognized by national and international organizations. It covers 6,945 ha (17,153 acres) in the foothills of the San Gabriel Mountains northeast of Los Angeles, and has a typical Mediterranean-type climate. The Forest encompasses the San Dimas...

  8. 33 CFR 110.120 - San Luis Obispo Bay, Calif.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... 33 Navigation and Navigable Waters 1 2010-07-01 2010-07-01 false San Luis Obispo Bay, Calif. 110... ANCHORAGES ANCHORAGE REGULATIONS Special Anchorage Areas § 110.120 San Luis Obispo Bay, Calif. (a) Area A-1. Area A-1 is the water area bounded by the San Luis Obispo County wharf, the shoreline, a line drawn...

  9. 40 CFR 81.164 - San Diego Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... 40 Protection of Environment 18 2012-07-01 2012-07-01 false San Diego Intrastate Air Quality... Quality Control Regions § 81.164 San Diego Intrastate Air Quality Control Region. The San Diego Intrastate... within the outermost boundaries of the area so delimited): In the State of California: San Diego County...

  10. 40 CFR 81.164 - San Diego Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... 40 Protection of Environment 18 2014-07-01 2014-07-01 false San Diego Intrastate Air Quality... Quality Control Regions § 81.164 San Diego Intrastate Air Quality Control Region. The San Diego Intrastate... within the outermost boundaries of the area so delimited): In the State of California: San Diego County...

  11. 40 CFR 81.164 - San Diego Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... 40 Protection of Environment 18 2013-07-01 2013-07-01 false San Diego Intrastate Air Quality... Quality Control Regions § 81.164 San Diego Intrastate Air Quality Control Region. The San Diego Intrastate... within the outermost boundaries of the area so delimited): In the State of California: San Diego County...

  12. 40 CFR 81.164 - San Diego Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... 40 Protection of Environment 17 2010-07-01 2010-07-01 false San Diego Intrastate Air Quality... Quality Control Regions § 81.164 San Diego Intrastate Air Quality Control Region. The San Diego Intrastate... within the outermost boundaries of the area so delimited): In the State of California: San Diego County...

  13. 40 CFR 81.164 - San Diego Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... 40 Protection of Environment 17 2011-07-01 2011-07-01 false San Diego Intrastate Air Quality... Quality Control Regions § 81.164 San Diego Intrastate Air Quality Control Region. The San Diego Intrastate... within the outermost boundaries of the area so delimited): In the State of California: San Diego County...

  14. The San Francisco Consortium; An Educational Association for Urban Affairs. Progress Report.

    ERIC Educational Resources Information Center

    San Francisco Consortium, CA.

    The San Francisco Consortium was formed in the Fall of 1967 by 5 institutions: City College of San Francisco, Golden Gate College, San Francisco State College, University of California-San Francisco Medical Center and the University of San Francisco. Its primary purpose is to be the instrument through which the resources of the major local…

  15. Holocene Geologic Slip Rate for the Banning Strand of the Southern San Andreas Fault near San Gorgonio Pass, Southern California

    NASA Astrophysics Data System (ADS)

    Gold, P. O.; Behr, W. M.; Rood, D. H.; Kendrick, K. J.; Rockwell, T. K.; Sharp, W. D.

    2014-12-01

    We present the first Holocene geologic slip rate for the Banning strand of the southern San Andreas Fault in southern California. The southern San Andreas Fault splays into the sub-parallel Banning and Mission Creek strands in the northwestern Coachella Valley, and although it has long been surmised that the Banning strand eventually accommodates the majority of displacement and transfers it into San Gorgonio Pass, until now it has been uncertain how slip is actually partitioned between these two fault strands. Our new slip rate measurement, critically located at the northwestern end of the Banning strand, overlaps within errors with the published rate for the southern San Andreas Fault measured at Biskra Palms Oasis. This indicates that the majority of southern San Andreas Fault displacement transfers from the southeastern Mission Creek strand northwest to the Banning strand and into San Gorgonio Pass. Our result corroborates the UCERF3 hazard model, and is consistent with most previous interpretations of how slip is partitioned between the Banning and Mission Creek fault strands. To measure this slip rate, we used B4 airborne LiDAR to identify the apex of an alluvial fan offset laterally 30 ± 5 m from its source. We calculated the depositional age of the fan using 10Be in-situ cosmogenic exposure dating of 5 cobbles and a depth profile. We calculated a most probable fan age of 4.0 +2.0/-1.6 ka (1σ) by combining the inheritance-corrected cobble ages assuming Gaussian uncertainty. However, the probability density function yielded a multi-peaked distribution, which we attribute to variable 10Be inheritance in the cobbles, so we favor the depth profile age of 2.2-3.6 ka. Combined, these measurements yield a late Holocene slip rate for the Banning strand of the southern San Andreas Fault of 11.1 +3.1/-3.3 mm/yr. This slip rate does not preclude possibility that some slip transfers north along the Mission Creek strand and the Garnet Hill fault, but it does confirm

  16. SAN FRANCISCO BAY WETLANDS REGIONAL MONITORING PROGRAM

    EPA Science Inventory

    The geographic area to be monitored is the San Francisco Estuary and its watersheds from the Golden Gate to the Sacramento-San Joaquin Delta at Broad Slough. The initial focus will be the baylands of the region defined as the lands between the maximum and minimum elevations of t...

  17. Laparoscopic surgery contributes more to nutritional and immunologic recovery than fast-track care in colorectal cancer.

    PubMed

    Xu, Dong; Li, Jun; Song, Yongmao; Zhou, Jiaojiao; Sun, Fangfang; Wang, Jianwei; Duan, Yin; Hu, Yeting; Liu, Yue; Wang, Xiaochen; Sun, Lifeng; Wu, Linshan; Ding, Kefeng

    2015-02-04

    Many clinical trials had repeatedly shown that fast-track perioperative care and laparoscopic surgery are both preferred in the treatment of colorectal cancer. But few studies were designed to explore the diverse biochemical impacts of the two counterparts on human immunologic and nutritional status. Ninety-two cases of colorectal cancer patients meeting the inclusion criteria were randomized to four groups: laparoscopy with fast-track treatment (LAFT); open surgery with fast-track treatment (OSFT); laparoscopy with conventional treatment (LAC); open surgery with conventional treatment (OSC). Peripheral blood tests including nutritional factors (albumin, prealbumin, and transferrin), humoral immunologic factors (IgG, IgM, and IgA), and cellular immunologic factors (T and NK cells) were evaluated. Blood samples were collected preoperatively (baseline) and 12 and 96 h after surgery (indicated as POH12 and POH96, respectively). Albumin, transferrin, prealbumin, and IgG levels were the highest in the LAFT group for both POH12 and POH96 time intervals. Repeated measures (two-way ANOVA) indicated that the difference of albumin, transferrin, and IgG level were attributed to surgery type (P < 0.05) and not perioperative treatment (P > 0.05). Only in the laparoscopy-included groups, the relative albumin and IgG levels of POH96 were obviously higher than that of POH12. Laparoscopic surgery accelerated postoperative nutrition and immune levels rising again while fast-track treatment retarded the drop of postoperative nutrition and immune levels. Laparoscopic surgery might play a more important role than fast-track treatment in the earlier postoperative recovery of nutritional and immunologic status. Combined laparoscopic surgery with fast-track treatment provided best postoperative recovery of nutrition and immune status. These results should be further compared with the clinical outcomes of our FTMDT trial (clinicaltrials.gov: NCT01080547).

  18. 75 FR 55975 - Safety Zone; San Diego Harbor Shark Fest Swim; San Diego Bay, San Diego, CA

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-09-15

    ... Guard did not receive notification of the logistical details of the San Diego Bay swim in sufficient... the Captain of the Port, or designated representative. Regulatory Analyses We developed this rule... analyses based on 13 of these statutes or executive orders. Regulatory Planning and Review This rule is not...

  19. Radar image San Francisco Bay Area, California

    NASA Technical Reports Server (NTRS)

    2000-01-01

    The San Francisco Bay Area in California and its surroundings are shown in this radar image from the Shuttle Radar Topography Mission (SRTM). On this image, smooth areas, such as the bay, lakes, roads and airport runways appear dark, while areas with buildings and trees appear bright. Downtown San Francisco is at the center and the city of Oakland is at the right across the San Francisco Bay. Some city areas, such as the South of Market district in San Francisco, appear bright due to the alignment of streets and buildings with respect to the incoming radar beam. Three of the bridges spanning the Bay are seen in this image. The Bay Bridge is in the center and extends from the city of San Francisco to Yerba Buena and Treasure Islands, and from there to Oakland. The Golden Gate Bridge is to the left and extends from San Francisco to Sausalito. The Richmond-San Rafael Bridge is in the upper right and extends from San Rafael to Richmond. Angel Island is the large island east of the Golden Gate Bridge, and lies north of the much smaller Alcatraz Island. The Alameda Naval Air Station is seen just below the Bay Bridge at the center of the image. Two major faults bounding the San Francisco-Oakland urban areas are visible on this image. The San Andreas fault, on the San Francisco peninsula, is seen on the left side of the image. The fault trace is the straight feature filled with linear reservoirs, which appear dark. The Hayward fault is the straight feature on the right side of the image between the urban areas and the hillier terrain to the east.

    This radar image was acquired by just one of SRTM's two antennas and, consequently, does not show topographic data, but only the strength of the radar signal reflected from the ground. This signal, known as radar backscatter, provides insight into the nature of the surface, including its roughness, vegetation cover and urbanization. The overall faint striping pattern in the images is a data processing artifact due to the

  20. Fabrication of hydroxyapatite and TiO 2 nanorods on microarc-oxidized titanium surface using hydrothermal treatment

    NASA Astrophysics Data System (ADS)

    Song, Ho-Jun; Kim, Ji-Woo; Kook, Min-Suk; Moon, Won-Jin; Park, Yeong-Joon

    2010-09-01

    AC-type microarc oxidation (MAO) and hydrothermal treatment techniques were used to enhance the bioactivity of commercially pure titanium (CP-Ti). The porous TiO 2 layer fabricated by the MAO treatment had a dominant anatase structure and contained Ca and P ions. The MAO-treated specimens were treated hydrothermally to form HAp crystallites on the titanium oxide layer in an alkaline aqueous solution (OH-solution) or phosphorous-containing alkaline solution (POH-solution). A small number of micro-sized hydroxyapatite (HAp) crystallites and a thin layer composed of nano-sized HAps were formed on the Ti-MAO-OH group treated hydrothermally in an OH-solution, whereas a large number of micro-sized HAp crystallites and dense anatase TiO 2 nanorods were formed on the Ti-MAO-POH group treated hydrothermally in a POH-solution. The layer of bone-like apatite that formed on the surface of the POH-treated sample after soaking in a modified simulated body fluid was thicker than that on the OH-treated samples.

  1. CIRSS vertical data integration, San Bernardino study

    NASA Technical Reports Server (NTRS)

    Hodson, W.; Christenson, J.; Michel, R. (Principal Investigator)

    1982-01-01

    The creation and use of a vertically integrated data base, including LANDSAT data, for local planning purposes in a portion of San Bernardino County, California are described. The project illustrates that a vertically integrated approach can benefit local users, can be used to identify and rectify discrepancies in various data sources, and that the LANDSAT component can be effectively used to identify change, perform initial capability/suitability modeling, update existing data, and refine existing data in a geographic information system. Local analyses were developed which produced data of value to planners in the San Bernardino County Planning Department and the San Bernardino National Forest staff.

  2. Long Return Periods for Earthquakes in San Gorgonio Pass and Implications for Large Ruptures of the San Andreas Fault in Southern California

    NASA Astrophysics Data System (ADS)

    Yule, J.; McBurnett, P.; Ramzan, S.

    2011-12-01

    The largest discontinuity in the surface trace of the San Andreas fault occurs in southern California at San Gorgonio Pass. Here, San Andreas motion moves through a 20 km-wide compressive stepover on the dextral-oblique-slip thrust system known as the San Gorgonio Pass fault zone. This thrust-dominated system is thought to rupture during very large San Andreas events that also involve strike-slip fault segments north and south of the Pass region. A wealth of paleoseismic data document that the San Andreas fault segments on either side of the Pass, in the San Bernardino/Mojave Desert and Coachella Valley regions, rupture on average every ~100 yrs and ~200 yrs, respectively. In contrast, we report here a notably longer return period for ruptures of the San Gorgonio Pass fault zone. For example, features exposed in trenches at the Cabezon site reveal that the most recent earthquake occurred 600-700 yrs ago (this and other ages reported here are constrained by C-14 calibrated ages from charcoal). The rupture at Cabezon broke a 10 m-wide zone of east-west striking thrusts and produced a >2 m-high scarp. Slip during this event is estimated to be >4.5 m. Evidence for a penultimate event was not uncovered but presumably lies beneath ~1000 yr-old strata at the base of the trenches. In Millard Canyon, 5 km to the west of Cabezon, the San Gorgonio Pass fault zone splits into two splays. The northern splay is expressed by 2.5 ± 0.7 m and 5.0 ± 0.7 m scarps in alluvial terraces constrained to be ~1300 and ~2500 yrs old, respectively. The scarp on the younger, low terrace postdates terrace abandonment ~1300 yrs ago and probably correlates with the 600-700 yr-old event at Cabezon, though we cannot rule out that a different event produced the northern Millard scarp. Trenches excavated in the low terrace reveal growth folding and secondary faulting and clear evidence for a penultimate event ~1350-1450 yrs ago, during alluvial deposition prior to the abandonment of the low terrace

  3. South San Francisco Bay, California

    USGS Publications Warehouse

    Dartnell, Peter; Gibbons, Helen

    2007-01-01

    View eastward. Elevations in mapped area color coded: purple (approx 15 m below sea level) to red-orange (approx 90 m above sea level). South San Francisco Bay is very shallow, with a mean water depth of 2.7 m (8.9 ft). Trapezoidal depression near San Mateo Bridge is where sediment has been extracted for use in cement production and as bay fill. Land from USGS digital orthophotographs (DOQs) overlaid on USGS digital elevation models (DEMs). Distance across bottom of image approx 11 km (7 mi); vertical exaggeration 1.5X.

  4. Fragmented Landscapes in the San Gorgonio Pass Region: Insights into Quaternary Strain History of the Southern San Andreas Fault System

    NASA Astrophysics Data System (ADS)

    Kendrick, K. J.; Matti, J. C.; Landis, G. P.; Alvarez, R. M.

    2006-12-01

    The San Gorgonio Pass (SGP) region is a zone of structural complexity within the southern San Andreas Fault system that is characterized by (1) multiple strands of the San Andreas Fault (SAF), (2) intense and diverse microseismicity, (3) contraction within the SGP fault zone (SGPfz), and (4) complex and diverse landforms - all a consequence of structural complications in the vicinity of the southeastern San Bernardino Mountains (SBM). Multiple strands of the SAF zone in the SGP region partition the landscape into discrete geomorphic/geologic domains, including: San Gorgonio Mountain (SGM), Yucaipa Ridge (YR), Kitching Peak (KP), Pisgah Peak (PP), and Coachella Valley (CV) domains. The morphology of each domain reflects the tectonic history unique to that region. Development of the SGP knot in the Mission Creek strand of the SAF (SAFmi) led to westward deflection of the SAFmi, juxtaposition of the KP, PP, and SGM domains, initiation of uplift of YR domain along thrust faults in headwaters of San Gorgonio River, and development of the San Jacinto Fault. Slip on the SAF diminished as a result, thereby allowing integrated drainage systems to develop in the greater SGP region. San Gorgonio River, Whitewater River, and Mission Creek are discrete drainages that transport sediment across the SGM, YR, PP, KP, and CV domains into alluvial systems peripheral to the SGP region. There, depositional units (San Timoteo Formation, upper member, deformed gravels of Whitewater River) all contain clasts of SBM-type and San Gabriel Mountain-type basement, thus constraining slip on the SAF in the SGP region. Middle and late Pleistocene slip on the Mill Creek strand of the SAF (SAFm) in the SGP region has attempted to bypass the SGP knot, and has disrupted landscapes established during SAFmi quiescence. Restoration of right-slip on the SAFm is key to deciphering landscape history. Matti and others (1985, 1992) proposed that a bi-lobed alluvial deposit in the Raywood Flats area has been

  5. 76 FR 70480 - Otay River Estuary Restoration Project, South San Diego Bay Unit of the San Diego Bay National...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-11-14

    ... River Estuary Restoration Project, South San Diego Bay Unit of the San Diego Bay National Wildlife...), intend to prepare an environmental impact statement (EIS) for the proposed Otay River Estuary Restoration... any one of the following methods. Email: [email protected] . Please include ``Otay Estuary NOI'' in the...

  6. Holocene deceleration of the San Andreas fault zone in San Bernardino and implications for the eastern California shear zone rate debate

    NASA Astrophysics Data System (ADS)

    Bennett, R. A.; Lavier, L.; Anderson, M. L.; Matti, J.; Powell, R. E.

    2005-05-01

    New geodetic inferences for the rate of strain accumulation on the San Andreas fault associated with tectonic loading are ~20 mm/yr slower than observed Holocene surface displacement rates in the San Bernardino area, south of the fault's intersection with the San Jacinto fault zone, and north of its intersection with the eastern California shear zone (ECSZ). This displacement rate "anomaly" is significantly larger than can be easily explained by locking depth errors or earthquake cycle effects not accounted for in geodesy-constrained models for elastic loading rate. Using available time-averaged fault displacement-rates for the San Andreas and San Jacinto fault zones, we estimate instantaneous time-variable displacement rates on the San Andreas-San Jacinto-ECSZ fault zones, assuming that these fault zones form a closed system in the latitude band along which the fault zones overlap with one another and share in the accommodation of steady Pacific-North America relative plate motion. We find that the Holocene decrease in San Andreas loading rate can be compensated by a rapid increase in loading/displacement rate within the ECSZ over the past ~5 kyrs, independent of, but consistent with geodetic and geologic constraints derived from the ECSZ itself. Based on this model, we suggest that reported differences between fast contemporary strain rates observed on faults of the ECSZ using geodesy and slow rates inferred from Quaternary geology and Holocene paleoseismology (i.e., the ECSZ rate debate) may be explained by rapid changes in the pattern and rates of strain accumulation associated with fault loading largely unrelated to postseismic stress relaxation. If so, displacement rate data sets from Holocene geology and present-day geodesy could potentially provide important new constraints on the rheology of the lower crust and upper mantle representing lithospheric behavior on time-scales of thousands of years. Moreover, the results underscore that disagreement between

  7. Backwater Flooding in San Marcos, TX from the Blanco River

    NASA Technical Reports Server (NTRS)

    Earl, Richard; Gaenzle, Kyle G.; Hollier, Andi B.

    2016-01-01

    Large sections of San Marcos, TX were flooded in Oct. 1998, May 2015, and Oct. 2015. Much of the flooding in Oct. 1998 and Oct. 2015 was produced by overbank flooding of San Marcos River and its tributaries by spills from upstream dams. The May 2015 flooding was almost entirely produced by backwater flooding from the Blanco River whose confluence is approximately 2.2 miles southeast of downtown. We use the stage height of the Blanco River to generate maps of the areas of San Marcos that are lower than the flood peaks and compare those results with data for the observed extent of flooding in San Marcos. Our preliminary results suggest that the flooding occurred at locations more than 20 feet lower than the maximum stage height of the Blanco River at San Marcos gage (08171350). This suggest that the datum for either gage 08171350 or 08170500 (San Marcos River at San Marcos) or both are incorrect. There are plans for the U.S. Army Corps of Engineers to construct a Blanco River bypass that will divert Blanco River floodwaters approximately 2 miles farther downstream, but the $60 million price makes its implementation problematic.

  8. NREL, San Diego Gas & Electric Are Advancing Utility Microgrid Performance

    Science.gov Websites

    in Borrego Springs, California | Energy Systems Integration Facility | NREL NREL, San Diego Gas & Electric Models Utility Microgrid in Borrego Springs NREL, San Diego Gas & Electric Are Advancing Utility Microgrid Performance in Borrego Springs, California San Diego Gas & Electric Company

  9. Environmental setting of the San Joaquin-Tulare basins, California

    USGS Publications Warehouse

    Gronberg, JoAnn A.; Dubrovsky, Neil M.; Kratzer, Charles R.; Domagalski, Joseph L.; Brown, Larry R.; Burow, Karen R.

    1998-01-01

    The National Water-Quality Assessment Program for the San Joaquin- Tulare Basins began in 1991 to study the effects of natural and anthropogenic influences on the quality of ground water, surface water, biology, and ecology. The San Joaquin-Tulare Basins study unit, which covers approximately 31,200 square miles in central California, is made up of the San Joaquin Valley, the eastern slope of the Coast Ranges to the west, and the western slope of the Sierra Nevada to the east. The sediments of the San Joaquin Valley can be divided into alluvial fans and basin deposits. The San Joaquin River receives water from tributaries draining the Sierra Nevada and Coast Ranges, and except for streams discharging directly to the Sacramento-San Joaquin Delta, is the only surface- water outlet from the study unit. The surface-water hydrology of the San Joaquin-Tulare Basins study unit has been significantly modified by development of water resources. Almost every major river entering the valley from the Sierra Nevada has one or more reservoirs. Almost every tributary and drainage into the San Joaquin River has been altered by a network of canals, drains, and wasteways. The Sierra Nevada is predominantly forested, and the Coast Ranges and the foothills of the Sierra Nevada are predominately rangeland. The San Joaquin Valley is dominated by agriculture, which utilized approximately 14.7 million acre-feet of water and 597 million pounds active ingredient of nitrogen and phosphorus fertilizers in 1990, and 88 million pounds active ingredient of pesticides in 1991. In addition, the livestock industry contributed 318 million pounds active ingredient of nitrogen and phosphorus from manure in 1987. This report provides the background information to assess the influence of these and other factors on water quality and to provide the foundation for the design and interpretation of all spatial data. These characterizations provide a basis for comparing the influences of human activities

  10. 12. Historic American Buildings Survey S.F. Chronicle Library, San Francisco ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    12. Historic American Buildings Survey S.F. Chronicle Library, San Francisco BUILT 1853 - '4 AFTER THE DISASTER OF 1906 - St. Mary's Church, 660 California Street, San Francisco, San Francisco County, CA

  11. Lahar-hazard zonation for San Miguel volcano, El Salvador

    USGS Publications Warehouse

    Major, J.J.; Schilling, S.P.; Pullinger, C.R.; Escobar, C.D.; Chesner, C.A.; Howell, M.M.

    2001-01-01

    San Miguel volcano, also known as Chaparrastique, is one of many volcanoes along the volcanic arc in El Salvador. The volcano, located in the eastern part of the country, rises to an altitude of about 2130 meters and towers above the communities of San Miguel, El Transito, San Rafael Oriente, and San Jorge. In addition to the larger communities that surround the volcano, several smaller communities and coffee plantations are located on or around the flanks of the volcano, and the PanAmerican and coastal highways cross the lowermost northern and southern flanks of the volcano. The population density around San Miguel volcano coupled with the proximity of major transportation routes increases the risk that even small volcano-related events, like landslides or eruptions, may have significant impact on people and infrastructure. San Miguel volcano is one of the most active volcanoes in El Salvador; it has erupted at least 29 times since 1699. Historical eruptions of the volcano consisted mainly of relatively quiescent emplacement of lava flows or minor explosions that generated modest tephra falls (erupted fragments of microscopic ash to meter sized blocks that are dispersed into the atmosphere and fall to the ground). Little is known, however, about prehistoric eruptions of the volcano. Chemical analyses of prehistoric lava flows and thin tephra falls from San Miguel volcano indicate that the volcano is composed dominantly of basalt (rock having silica content

  12. San Antonio, Texas as seen from STS-58

    NASA Image and Video Library

    1993-10-30

    STS058-101-053 (18 Oct-1 Nov 1993) --- This sharp cloud-free photograph of San Antonio, Texas illustrates the classic pattern of western cities. The Hispanic heart of the city; an intertwining of streets along the San Antonio River and around the Alamo, surrounded by a late 19th century Anglo grid of small businesses and suburban homes. Transportation routes radiate to mid and late 20th Century ring corridors separating the urban/suburban region from the surrounding agricultural countryside. San Antonio was founded around permanent springs that rise at the foot of the Balcones Escarpment, which separates the Texas Hill Country from the South Texas Plains. Limestone quarries are conspicuous along the edge of the escarpment. San Antonio has long been a major site for military training bases: Randolph Air Force Base is outside the city to the northeast, Fort Sam Houston is contained within the northeast quadrant of the city, Brooks Air Force Base lies at the southeastern corner, and Lackland and Kelly Air Force Bases are within the suburban fringe to the southwest. San Antonio International Airport can be seen at the foot of the escarpment in the northern part of the city.

  13. Children and the San Fernando earthquake

    USGS Publications Warehouse

    Howard, S. J.

    1980-01-01

    Before dawn, on February 9, 1971, a magnitude 6.4 earthquake occurred in the San Fernando Valley of California. On the following day, theSan Fernando Valley Child Guidance Clinic, through radio and newspapers, offered mental health crises services to children frightened by the earthquake. Response to this invitation was immediate and almost overwhelming. During the first 2 weeks, the Clinic's staff counseled hundreds of children who were experiencing various degrees of anxiety. 

  14. San Francisco urban partnership agreement : national evaluation plan.

    DOT National Transportation Integrated Search

    2009-12-22

    This report provides an analytic framework for evaluating the San Francisco Urban Partnership Agreement (UPA) under the United States Department of Transportation (U.S. DOT) UPA Program. The San Francisco UPA projects to be evaluated focus on those r...

  15. High-resolution marine seismic reflection data from the San Francisco Bay area

    USGS Publications Warehouse

    Childs, Jonathan R.; Hart, Patrick; Bruns, Terry R.; Marlow, Michael S.; Sliter, Ray

    2000-01-01

    Between 1993 and 1997, the U.S. Geological Survey acquired high-resolution, marine seismic-reflection profile data across submerged portions of known and inferred upper crustal fault zones throughout the greater San Francisco Bay area. Surveys were conducted oversouth San Francisco Bay in the vicinity of the San Bruno shoal (roughly between the San Francisco and Oakland airports), over the offshore extension of the San Andreas fault system west of the Golden Gate, over the Hayward fault to Rodgers Creek fault step-over in San Pablo Bay, and over the Kirby Hills fault where it crosses the western Sacramento Delta. Reconnaissance profiles were acquired elsewhere throughout the San Francisco and San Pablo Bays. These data were acquired by the U.S. Geological Survey, Western Coastal and Marine Geology Team, under the auspices of the Central California/San Francisco Bay Earthquake Hazards Project. Analysis and interpretation of some of these profiles has been published by Marlow and others (1996, 1999). Further analysis and interpretation of these data are available in a USGS. Professional Paper Crustal Structure of the Coastal and Marine San Francisco Bay Region, T. Parsons, editor, http://geopubs.wr.usgs.gov/prof-paper/pp1658/ [link added 2012 mfd].

  16. Cacao use and the San Lorenzo Olmec.

    PubMed

    Powis, Terry G; Cyphers, Ann; Gaikwad, Nilesh W; Grivetti, Louis; Cheong, Kong

    2011-05-24

    Mesoamerican peoples had a long history of cacao use--spanning more than 34 centuries--as confirmed by previous identification of cacao residues on archaeological pottery from Paso de la Amada on the Pacific Coast and the Olmec site of El Manatí on the Gulf Coast. Until now, comparable evidence from San Lorenzo, the premier Olmec capital, was lacking. The present study of theobromine residues confirms the continuous presence and use of cacao products at San Lorenzo between 1800 and 1000 BCE, and documents assorted vessels forms used in its preparation and consumption. One elite context reveals cacao use as part of a mortuary ritual for sacrificial victims, an event that occurred during the height of San Lorenzo's power.

  17. Holocene slip rates along the San Andreas Fault System in the San Gorgonio Pass and implications for large earthquakes in southern California

    NASA Astrophysics Data System (ADS)

    Heermance, Richard V.; Yule, Doug

    2017-06-01

    The San Gorgonio Pass (SGP) in southern California contains a 40 km long region of structural complexity where the San Andreas Fault (SAF) bifurcates into a series of oblique-slip faults with unknown slip history. We combine new 10Be exposure ages (Qt4: 8600 (+2100, -2200) and Qt3: 5700 (+1400, -1900) years B.P.) and a radiocarbon age (1260 ± 60 years B.P.) from late Holocene terraces with scarp displacement of these surfaces to document a Holocene slip rate of 5.7 (+2.7, -1.5) mm/yr combined across two faults. Our preferred slip rate is 37-49% of the average slip rates along the SAF outside the SGP (i.e., Coachella Valley and San Bernardino sections) and implies that strain is transferred off the SAF in this area. Earthquakes here most likely occur in very large, throughgoing SAF events at a lower recurrence than elsewhere on the SAF, so that only approximately one third of SAF ruptures penetrate or originate in the pass.Plain Language SummaryHow large are earthquakes on the southern <span class="hlt">San</span> Andreas Fault? The answer to this question depends on whether or not the earthquake is contained only along individual fault sections, such as the Coachella Valley section north of Palm Springs, or the rupture crosses multiple sections including the area through the <span class="hlt">San</span> Gorgonio Pass. We have determined the age and offset of faulted stream deposits within the <span class="hlt">San</span> Gorgonio Pass to document slip rates of these faults over the last 10,000 years. Our results indicate a long-term slip rate of 6 mm/yr, which is almost 1/2 of the rates east and west of this area. These new rates, combined with faulted geomorphic surfaces, imply that large magnitude earthquakes must occasionally rupture a 300 km length of the <span class="hlt">San</span> Andreas Fault from the Salton Sea to the Mojave Desert. Although many ( 65%) earthquakes along the southern <span class="hlt">San</span> Andreas Fault likely do not rupture through the pass, our new results suggest that large >Mw 7.5 earthquakes are possible</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.fs.usda.gov/treesearch/pubs/45986','TREESEARCH'); return false;" href="https://www.fs.usda.gov/treesearch/pubs/45986"><span>City of <span class="hlt">San</span> Francisco, California street tree resource analysis</span></a></p> <p><a target="_blank" href="http://www.fs.usda.gov/treesearch/">Treesearch</a></p> <p>E.G. McPherson; J.R. Simpson; P.J. Peper; Q. Xiao</p> <p>2004-01-01</p> <p>Street trees in <span class="hlt">San</span> Francisco are comprised of two distinct populations, those managed by the city’s Department of Public Works (DPW) and those managed by private property owners with or without the help of <span class="hlt">San</span> Francisco’s urban forestry nonprofit, Friends of the Urban Forest (FUF). These two entities believe that the public’s investment in stewardship of <span class="hlt">San</span> Francisco...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.loc.gov/pictures/collection/hh/item/tx0964.photos.367021p/','SCIGOV-HHH'); return false;" href="https://www.loc.gov/pictures/collection/hh/item/tx0964.photos.367021p/"><span>DETAIL OF SOUTH <span class="hlt">SAN</span> GABRIEL RIVER BRIDGE, BUILDER’S PLATE, LOOKING ...</span></a></p> <p><a target="_blank" href="http://www.loc.gov/pictures/collection/hh/">Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey</a></p> <p></p> <p></p> <p>DETAIL OF SOUTH <span class="hlt">SAN</span> GABRIEL RIVER BRIDGE, BUILDER’S PLATE, LOOKING NORTHEAST. - South <span class="hlt">San</span> Gabriel River Bridge, Spanning South Fork of <span class="hlt">San</span> Gabriel River at Georgetown at Business Route 35, Georgetown, Williamson County, TX</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://files.eric.ed.gov/fulltext/ED517460.pdf','ERIC'); return false;" href="http://files.eric.ed.gov/fulltext/ED517460.pdf"><span>Trouble Brewing in <span class="hlt">San</span> Francisco. Policy Brief</span></a></p> <p><a target="_blank" href="http://www.eric.ed.gov/ERICWebPortal/search/extended.jsp?_pageLabel=advanced">ERIC Educational Resources Information Center</a></p> <p>Buck, Stuart</p> <p>2010-01-01</p> <p>The city of <span class="hlt">San</span> Francisco will face enormous budgetary pressures from the growing deficits in public pensions, both at a state and local level. In this policy brief, the author estimates that <span class="hlt">San</span> Francisco faces an aggregate $22.4 billion liability for pensions and retiree health benefits that are underfunded--including $14.1 billion for the city…</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('https://www.gpo.gov/fdsys/pkg/CFR-2012-title33-vol2/pdf/CFR-2012-title33-vol2-sec165-1182.pdf','CFR2012'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2012-title33-vol2/pdf/CFR-2012-title33-vol2-sec165-1182.pdf"><span>33 CFR 165.1182 - Safety/Security Zone: <span class="hlt">San</span> Francisco Bay, <span class="hlt">San</span> Pablo Bay, Carquinez Strait, and Suisun Bay, CA.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2012&page.go=Go">Code of Federal Regulations, 2012 CFR</a></p> <p></p> <p>2012-07-01</p> <p>..., Carquinez Strait, and Suisun Bay, CA. (a) Regulated area. The following area is established as a moving... Francisco Bay, <span class="hlt">San</span> Pablo Bay, Carquinez Strait, and Suisun Bay, CA. 165.1182 Section 165.1182 Navigation and... vessels transit from a line drawn between <span class="hlt">San</span> Francisco Main Ship Channel buoys 7 and 8 (LLNR 4190 & 4195...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/CFR-2011-title33-vol2/pdf/CFR-2011-title33-vol2-sec165-1182.pdf','CFR2011'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2011-title33-vol2/pdf/CFR-2011-title33-vol2-sec165-1182.pdf"><span>33 CFR 165.1182 - Safety/Security Zone: <span class="hlt">San</span> Francisco Bay, <span class="hlt">San</span> Pablo Bay, Carquinez Strait, and Suisun Bay, CA.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2011&page.go=Go">Code of Federal Regulations, 2011 CFR</a></p> <p></p> <p>2011-07-01</p> <p>..., Carquinez Strait, and Suisun Bay, CA. (a) Regulated area. The following area is established as a moving... Francisco Bay, <span class="hlt">San</span> Pablo Bay, Carquinez Strait, and Suisun Bay, CA. 165.1182 Section 165.1182 Navigation and... vessels transit from a line drawn between <span class="hlt">San</span> Francisco Main Ship Channel buoys 7 and 8 (LLNR 4190 & 4195...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/CFR-2013-title33-vol2/pdf/CFR-2013-title33-vol2-sec165-1182.pdf','CFR2013'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2013-title33-vol2/pdf/CFR-2013-title33-vol2-sec165-1182.pdf"><span>33 CFR 165.1182 - Safety/Security Zone: <span class="hlt">San</span> Francisco Bay, <span class="hlt">San</span> Pablo Bay, Carquinez Strait, and Suisun Bay, CA.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2013&page.go=Go">Code of Federal Regulations, 2013 CFR</a></p> <p></p> <p>2013-07-01</p> <p>..., Carquinez Strait, and Suisun Bay, CA. (a) Regulated area. The following area is established as a moving... Francisco Bay, <span class="hlt">San</span> Pablo Bay, Carquinez Strait, and Suisun Bay, CA. 165.1182 Section 165.1182 Navigation and... vessels transit from a line drawn between <span class="hlt">San</span> Francisco Main Ship Channel buoys 7 and 8 (LLNR 4190 & 4195...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/CFR-2010-title33-vol2/pdf/CFR-2010-title33-vol2-sec165-1182.pdf','CFR'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2010-title33-vol2/pdf/CFR-2010-title33-vol2-sec165-1182.pdf"><span>33 CFR 165.1182 - Safety/Security Zone: <span class="hlt">San</span> Francisco Bay, <span class="hlt">San</span> Pablo Bay, Carquinez Strait, and Suisun Bay, CA.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2010&page.go=Go">Code of Federal Regulations, 2010 CFR</a></p> <p></p> <p>2010-07-01</p> <p>..., Carquinez Strait, and Suisun Bay, CA. (a) Regulated area. The following area is established as a moving... Francisco Bay, <span class="hlt">San</span> Pablo Bay, Carquinez Strait, and Suisun Bay, CA. 165.1182 Section 165.1182 Navigation and... vessels transit from a line drawn between <span class="hlt">San</span> Francisco Main Ship Channel buoys 7 and 8 (LLNR 4190 & 4195...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/CFR-2014-title33-vol2/pdf/CFR-2014-title33-vol2-sec165-1182.pdf','CFR2014'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2014-title33-vol2/pdf/CFR-2014-title33-vol2-sec165-1182.pdf"><span>33 CFR 165.1182 - Safety/Security Zone: <span class="hlt">San</span> Francisco Bay, <span class="hlt">San</span> Pablo Bay, Carquinez Strait, and Suisun Bay, CA.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2014&page.go=Go">Code of Federal Regulations, 2014 CFR</a></p> <p></p> <p>2014-07-01</p> <p>..., Carquinez Strait, and Suisun Bay, CA. (a) Regulated area. The following area is established as a moving... Francisco Bay, <span class="hlt">San</span> Pablo Bay, Carquinez Strait, and Suisun Bay, CA. 165.1182 Section 165.1182 Navigation and... vessels transit from a line drawn between <span class="hlt">San</span> Francisco Main Ship Channel buoys 7 and 8 (LLNR 4190 & 4195...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/CFR-2013-title33-vol3/pdf/CFR-2013-title33-vol3-sec334-870.pdf','CFR2013'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2013-title33-vol3/pdf/CFR-2013-title33-vol3-sec334-870.pdf"><span>33 CFR 334.870 - <span class="hlt">San</span> Diego Harbor, Calif.; restricted area.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2013&page.go=Go">Code of Federal Regulations, 2013 CFR</a></p> <p></p> <p>2013-07-01</p> <p>... 33 Navigation and Navigable Waters 3 2013-07-01 2013-07-01 false <span class="hlt">San</span> Diego Harbor, Calif... THE ARMY, DEPARTMENT OF DEFENSE DANGER ZONE AND RESTRICTED AREA REGULATIONS § 334.870 <span class="hlt">San</span> Diego Harbor... the Pacific Ocean in North <span class="hlt">San</span> Diego Bay in an area extending from the western boundary of North...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/CFR-2014-title33-vol3/pdf/CFR-2014-title33-vol3-sec334-870.pdf','CFR2014'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2014-title33-vol3/pdf/CFR-2014-title33-vol3-sec334-870.pdf"><span>33 CFR 334.870 - <span class="hlt">San</span> Diego Harbor, Calif.; restricted area.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2014&page.go=Go">Code of Federal Regulations, 2014 CFR</a></p> <p></p> <p>2014-07-01</p> <p>... 33 Navigation and Navigable Waters 3 2014-07-01 2014-07-01 false <span class="hlt">San</span> Diego Harbor, Calif... THE ARMY, DEPARTMENT OF DEFENSE DANGER ZONE AND RESTRICTED AREA REGULATIONS § 334.870 <span class="hlt">San</span> Diego Harbor... the Pacific Ocean in North <span class="hlt">San</span> Diego Bay in an area extending from the western boundary of North...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/CFR-2014-title33-vol2/pdf/CFR-2014-title33-vol2-sec165-1106.pdf','CFR2014'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2014-title33-vol2/pdf/CFR-2014-title33-vol2-sec165-1106.pdf"><span>33 CFR 165.1106 - <span class="hlt">San</span> Diego Bay, California-safety zone.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2014&page.go=Go">Code of Federal Regulations, 2014 CFR</a></p> <p></p> <p>2014-07-01</p> <p>... 33 Navigation and Navigable Waters 2 2014-07-01 2014-07-01 false <span class="hlt">San</span> Diego Bay, California-safety... Diego Bay, California—safety zone. (a) The waters of <span class="hlt">San</span> Diego Bay enclosed by the following boundaries are a safety zone: From a point located on the boundary of Coast Guard Air Station <span class="hlt">San</span> Diego...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/CFR-2013-title33-vol2/pdf/CFR-2013-title33-vol2-sec165-1106.pdf','CFR2013'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2013-title33-vol2/pdf/CFR-2013-title33-vol2-sec165-1106.pdf"><span>33 CFR 165.1106 - <span class="hlt">San</span> Diego Bay, California-safety zone.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2013&page.go=Go">Code of Federal Regulations, 2013 CFR</a></p> <p></p> <p>2013-07-01</p> <p>... 33 Navigation and Navigable Waters 2 2013-07-01 2013-07-01 false <span class="hlt">San</span> Diego Bay, California-safety... Diego Bay, California—safety zone. (a) The waters of <span class="hlt">San</span> Diego Bay enclosed by the following boundaries are a safety zone: From a point located on the boundary of Coast Guard Air Station <span class="hlt">San</span> Diego...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/CFR-2010-title33-vol2/pdf/CFR-2010-title33-vol2-sec165-1106.pdf','CFR'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2010-title33-vol2/pdf/CFR-2010-title33-vol2-sec165-1106.pdf"><span>33 CFR 165.1106 - <span class="hlt">San</span> Diego Bay, California-safety zone.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2010&page.go=Go">Code of Federal Regulations, 2010 CFR</a></p> <p></p> <p>2010-07-01</p> <p>... 33 Navigation and Navigable Waters 2 2010-07-01 2010-07-01 false <span class="hlt">San</span> Diego Bay, California-safety... Diego Bay, California—safety zone. (a) The waters of <span class="hlt">San</span> Diego Bay enclosed by the following boundaries are a safety zone: From a point located on the boundary of Coast Guard Air Station <span class="hlt">San</span> Diego...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/CFR-2011-title33-vol2/pdf/CFR-2011-title33-vol2-sec165-1106.pdf','CFR2011'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2011-title33-vol2/pdf/CFR-2011-title33-vol2-sec165-1106.pdf"><span>33 CFR 165.1106 - <span class="hlt">San</span> Diego Bay, California-safety zone.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2011&page.go=Go">Code of Federal Regulations, 2011 CFR</a></p> <p></p> <p>2011-07-01</p> <p>... 33 Navigation and Navigable Waters 2 2011-07-01 2011-07-01 false <span class="hlt">San</span> Diego Bay, California-safety... Diego Bay, California—safety zone. (a) The waters of <span class="hlt">San</span> Diego Bay enclosed by the following boundaries are a safety zone: From a point located on the boundary of Coast Guard Air Station <span class="hlt">San</span> Diego...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/CFR-2012-title33-vol2/pdf/CFR-2012-title33-vol2-sec165-1106.pdf','CFR2012'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2012-title33-vol2/pdf/CFR-2012-title33-vol2-sec165-1106.pdf"><span>33 CFR 165.1106 - <span class="hlt">San</span> Diego Bay, California-safety zone.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2012&page.go=Go">Code of Federal Regulations, 2012 CFR</a></p> <p></p> <p>2012-07-01</p> <p>... 33 Navigation and Navigable Waters 2 2012-07-01 2012-07-01 false <span class="hlt">San</span> Diego Bay, California-safety... Diego Bay, California—safety zone. (a) The waters of <span class="hlt">San</span> Diego Bay enclosed by the following boundaries are a safety zone: From a point located on the boundary of Coast Guard Air Station <span class="hlt">San</span> Diego...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017JPhCS.862a2004C','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017JPhCS.862a2004C"><span>Spin-analyzed <span class="hlt">SANS</span> for soft matter applications</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Chen, W. C.; Barker, J. G.; Jones, R.; Krycka, K. L.; Watson, S. M.; Gagnon, C.; Perevozchivoka, T.; Butler, P.; Gentile, T. R.</p> <p>2017-06-01</p> <p>The small angle neutron scattering (<span class="hlt">SANS</span>) of nearly Q-independent nuclear spin-incoherent scattering from hydrogen present in most soft matter and biology samples may raise an issue in structure determination in certain soft matter applications. This is true at high wave vector transfer Q where coherent scattering is much weaker than the nearly Q-independent spin-incoherent scattering background. Polarization analysis is capable of separating coherent scattering from spin-incoherent scattering, hence potentially removing the nearly Q-independent background. Here we demonstrate <span class="hlt">SANS</span> polarization analysis in conjunction with the time-of-flight technique for separation of coherent and nuclear spin-incoherent scattering for a sample of silver behenate back-filled with light water. We describe a complete procedure for <span class="hlt">SANS</span> polarization analysis for separating coherent from incoherent scattering for soft matter samples that show inelastic scattering. Polarization efficiency correction and subsequent separation of the coherent and incoherent scattering have been done with and without a time-of-flight technique for direct comparisons. In addition, we have accounted for the effect of multiple scattering from light water to determine the contribution of nuclear spin-incoherent scattering in both the spin flip channel and non-spin flip channel when performing <span class="hlt">SANS</span> polarization analysis. We discuss the possible gain in the signal-to-noise ratio for the measured coherent scattering signal using polarization analysis with the time-of-flight technique compared with routine unpolarized <span class="hlt">SANS</span> measurements.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-PIA01751.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-PIA01751.html"><span>Space Radar Image of <span class="hlt">San</span> Francisco, California</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>1999-05-01</p> <p>This is a radar image of <span class="hlt">San</span> Francisco, California, taken on October 3,1994. The image is about 40 kilometers by 55 kilometers (25 miles by 34 miles) with north toward the upper right. Downtown <span class="hlt">San</span> Francisco is visible in the center of the image with the city of Oakland east (to the right) across <span class="hlt">San</span> Francisco Bay. Also visible in the image is the Golden Gate Bridge (left center) and the Bay Bridge connecting <span class="hlt">San</span> Francisco and Oakland. North of the Bay Bridge is Treasure Island. Alcatraz Island appears as a small dot northwest of Treasure Island. This image was acquired by the Spaceborne Imaging Radar-C and X-band Synthetic Aperture Radar (SIR-C/X-SAR) aboard the space shuttle Endeavour on orbit 56. The image is centered at 37 degrees north latitude, 122degrees west longitude. This single-frequency SIR-C image was obtained by the L-band (24 cm) radar channel, horizontally transmitted and received. Portions of the Pacific Ocean visible in this image appear very dark as do other smooth surfaces such as airport runways. Suburban areas, with the low-density housing and tree-lined streets that are typical of <span class="hlt">San</span> Francisco, appear as lighter gray. Areas with high-rise buildings, such as those seen in the downtown areas, appear in very bright white, showing a higher density of housing and streets which run parallel to the radar flight track. http://photojournal.jpl.nasa.gov/catalog/PIA01751</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.usgs.gov/of/1966/0075/report.pdf','USGSPUBS'); return false;" href="https://pubs.usgs.gov/of/1966/0075/report.pdf"><span>Ground water in the <span class="hlt">San</span> Joaquin Valley, California</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Kunkel, Fred; Hofman, Walter</p> <p>1966-01-01</p> <p>Ladies and gentlemen, it is a pleasure to be invited to attend this Irrigation Institute conference and to describe the Geological Survey's program of ground-water studies in the <span class="hlt">San</span> Joaquin Valley. The U.S. Geological Survey has been making water-resources studies in cooperation with the State of California and other agencies in California for more than 70 years. Three of the earliest Geological Survey Water-Supply Papers--numbers 17, 18, and 19--published in 1898 and 1899, describe "Irrigation near Bakersfield," "Irrigation near Fresno," and "Irrigation near Merced." However, the first Survey report on ground-water occurrence in the <span class="hlt">San</span> Joaquin Valley was "Ground Water in the <span class="hlt">San</span> Joaquin Valley," by Mendenhall and others. The fieldwork was done from 1905 to 1910, and the report was published in 1916 as U.S. Geological Survey Water-Supply Paper 398.The current series of ground-water studies in the <span class="hlt">San</span> Joaquin Valley was begun in 1952 as part of the California Department of Water Resources-U.S. Geological Survey cooperative water-resources program. The first report of this series is Geological Survey Water-Supply Paper 1469, "Ground-Water Conditions and Storage Capacity in the <span class="hlt">San</span> Joaquin Valley." Other reports are Water-Supply Paper 1618, "Use of Ground-Water Reservoirs for Storage of Surface Water in the <span class="hlt">San</span> Joaquin Valley;" Water-Supply Paper 1656, "Geology and Ground-Water Features of the Edison-Maricopa Area;" Water-Supply Paper 1360-G, "Ground- Water Conditions in the Mendota-Huron Area;" Water-Supply Paper 1457, "Ground-Water Conditions in the Avenal-McKittrick Area;" and an open-file report, "Geology, Hydrology, and Quality of Water in the Terra Bella-Lost Hills Area."In addition to the preceding published reports, ground-water studies currently are being made of the Kern Fan area, the Hanford- Visalia area, the Fresno area, the Merced area, and of the clays of Tulare Lake. Also, detailed studies of both shallow and deep subsidence in the southern part of</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/FR-2010-08-31/pdf/2010-21642.pdf','FEDREG'); return false;" href="https://www.gpo.gov/fdsys/pkg/FR-2010-08-31/pdf/2010-21642.pdf"><span>75 FR 53332 - <span class="hlt">San</span> Carlos Irrigation Project, Arizona</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collection.action?collectionCode=FR">Federal Register 2010, 2011, 2012, 2013, 2014</a></p> <p></p> <p>2010-08-31</p> <p>... DEPARTMENT OF THE INTERIOR Bureau of Reclamation <span class="hlt">San</span> Carlos Irrigation Project, Arizona AGENCY..., as amended, on the rehabilitation of <span class="hlt">San</span> Carlos Irrigation Project (SCIP) water delivery facilities... convey irrigation water from the Gila River and Central Arizona Project (CAP) to agricultural lands in...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/FR-2012-11-05/pdf/2012-26894.pdf','FEDREG'); return false;" href="https://www.gpo.gov/fdsys/pkg/FR-2012-11-05/pdf/2012-26894.pdf"><span>77 FR 66499 - Environmental Impact Statement: <span class="hlt">San</span> Bernardino and Los Angeles Counties, CA</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collection.action?collectionCode=FR">Federal Register 2010, 2011, 2012, 2013, 2014</a></p> <p></p> <p>2012-11-05</p> <p>... <span class="hlt">San</span> Bernardino, 285 East Hospitality Lane, <span class="hlt">San</span> Bernardino, California 92408 (2) Sheraton Ontario..., November 13, 2012 from 5-7 p.m. at the Hilton <span class="hlt">San</span> Bernardino, 285 East Hospitality Lane, <span class="hlt">San</span> Bernardino...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.er.usgs.gov/publication/70021712','USGSPUBS'); return false;" href="https://pubs.er.usgs.gov/publication/70021712"><span>Transport of diazinon in the <span class="hlt">San</span> Joaquin River Basin, California</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Kratzer, C.R.</p> <p>1999-01-01</p> <p>Most of the application of the organophosphate insecticide diazinon in the <span class="hlt">San</span> Joaquin River Basin occurs in winter to control wood-boring insects in dormant almond orchards. A federal-state collaborative study found that diazinon accounted for most of the observed toxicity of <span class="hlt">San</span> Joaquin River water in February 1993. Previous studies focused mainly on west-side inputs to the <span class="hlt">San</span> Joaquin River. In this 1994 study, the three major east-side tributaries to the <span class="hlt">San</span> Joaquin River - the Merced, Tuolumne, and Stanislaus rivers - and a downstream site on the <span class="hlt">San</span> Joaquin River were sampled throughout the hydrographs of a late January and an early February storm. In both storms, the Tuolumne River had the highest concentrations of diazinon and transported the largest load of the three tributaries. The Stanislaus River was a small source in both storms. On the basis of previous storm sampling and estimated travel times, ephemeral west-side creeks probably were the main diazinon source early in the storms, whereas the Tuolumne and Merced rivers and east-side drainages directly to the <span class="hlt">San</span> Joaquin River were the main sources later. Although 74 percent of diazinon transport in the <span class="hlt">San</span> Joaquin River during 1991-1993 occurred in January and February, transport during each of the two 1994 storms was only 0.05 percent of the amount applied during preceding dry periods. Nevertheless, some of the diazinon concentrations in the <span class="hlt">San</span> Joaquin River during the January storm exceeded 0.35 ??g/L, a concentration shown to be acutely toxic to water fleas. On the basis of this study and previous studies, diazinon concentrations and streamflow are highly variable during January and February storms, and frequent sampling is required to evaluate transport in the <span class="hlt">San</span> Joaquin River Basin.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/CFR-2012-title33-vol1/pdf/CFR-2012-title33-vol1-sec110-74c.pdf','CFR2012'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2012-title33-vol1/pdf/CFR-2012-title33-vol1-sec110-74c.pdf"><span>33 CFR 110.74c - Bahia de <span class="hlt">San</span> Juan, PR.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2012&page.go=Go">Code of Federal Regulations, 2012 CFR</a></p> <p></p> <p>2012-07-01</p> <p>... 33 Navigation and Navigable Waters 1 2012-07-01 2012-07-01 false Bahia de <span class="hlt">San</span> Juan, PR. 110.74c Section 110.74c Navigation and Navigable Waters COAST GUARD, DEPARTMENT OF HOMELAND SECURITY ANCHORAGES ANCHORAGE REGULATIONS Special Anchorage Areas § 110.74c Bahia de <span class="hlt">San</span> Juan, PR. The waters of <span class="hlt">San</span> Antonio...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/CFR-2014-title33-vol1/pdf/CFR-2014-title33-vol1-sec110-74c.pdf','CFR2014'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2014-title33-vol1/pdf/CFR-2014-title33-vol1-sec110-74c.pdf"><span>33 CFR 110.74c - Bahia de <span class="hlt">San</span> Juan, PR.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2014&page.go=Go">Code of Federal Regulations, 2014 CFR</a></p> <p></p> <p>2014-07-01</p> <p>... 33 Navigation and Navigable Waters 1 2014-07-01 2014-07-01 false Bahia de <span class="hlt">San</span> Juan, PR. 110.74c Section 110.74c Navigation and Navigable Waters COAST GUARD, DEPARTMENT OF HOMELAND SECURITY ANCHORAGES ANCHORAGE REGULATIONS Special Anchorage Areas § 110.74c Bahia de <span class="hlt">San</span> Juan, PR. The waters of <span class="hlt">San</span> Antonio...</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('https://www.gpo.gov/fdsys/pkg/CFR-2013-title33-vol1/pdf/CFR-2013-title33-vol1-sec110-74c.pdf','CFR2013'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2013-title33-vol1/pdf/CFR-2013-title33-vol1-sec110-74c.pdf"><span>33 CFR 110.74c - Bahia de <span class="hlt">San</span> Juan, PR.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2013&page.go=Go">Code of Federal Regulations, 2013 CFR</a></p> <p></p> <p>2013-07-01</p> <p>... 33 Navigation and Navigable Waters 1 2013-07-01 2013-07-01 false Bahia de <span class="hlt">San</span> Juan, PR. 110.74c Section 110.74c Navigation and Navigable Waters COAST GUARD, DEPARTMENT OF HOMELAND SECURITY ANCHORAGES ANCHORAGE REGULATIONS Special Anchorage Areas § 110.74c Bahia de <span class="hlt">San</span> Juan, PR. The waters of <span class="hlt">San</span> Antonio...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.afdc.energy.gov/case/2','SCIGOVWS'); return false;" href="https://www.afdc.energy.gov/case/2"><span>Alternative Fuels Data Center: Students Reduce Vehicle Idling in <span class="hlt">San</span></span></a></p> <p><a target="_blank" href="http://www.science.gov/aboutsearch.html">Science.gov Websites</a></p> <p></p> <p></p> <p>Antonio, Texas</A> <em>Students</em> Reduce Vehicle Idling in <span class="hlt">San</span> Antonio, Texas to someone by E-mail Share Alternative Fuels Data Center: <em>Students</em> Reduce Vehicle Idling in <span class="hlt">San</span> Antonio, Texas on Facebook Tweet about Alternative Fuels Data Center: <em>Students</em> Reduce Vehicle Idling in <span class="hlt">San</span> Antonio, Texas on Twitter Bookmark</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/24502112','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/24502112"><span>Factors influencing biosafety level and <span class="hlt">LAI</span> among the staff of medical laboratories.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Kozajda, Anna; Bródka, Karolina; Szadkowska-Stańczyk, Irena</p> <p>2013-01-01</p> <p>The aim of the study was to assess the biological risks of medical laboratory employees with particular focus on laboratory acquired infection (<span class="hlt">LAI</span>), activities having the greatest risk, accidents with biological material, post exposure procedure, preventive measures and workers' knowledge about biological exposure. The study involved 9 laboratories. A questionnaire survey was attended by 123 employees and 9 heads of these units with the use of two questionnaires for laboratory workers and the managers. 32.5% of the respondents (40 persons) had an accident at least once. Needlestick or a broken glass injury covered 18.7% respondents (23 persons), while splashing the skin, mucous membranes or conjunctivae related to 22.8% (28 persons). Among the employees who had an accident, only 45% of the respondents (18 persons) reported this to the manager. Microbes dominant in the biological material were known only to 57 respondents (46.3%), less than half could correctly give an example of a disease (57 persons, 46.3%). More than half of the respondents admitted that they do not know all of the possible routes of infection while working in the laboratory (68 persons, 55.3%). In the study population, a high incidence of accidents was observed, usually during blood sampling and transfer of biological material. Condition of the workers' equipment with personal protective measures and laboratory facilities in devices to reduce the risk of infection and procedures for handling the potentially infectious material should be considered as insufficient. Lack of basic knowledge of the employees about biohazards at workplaces was shown.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.usgs.gov/fs/2013/3037/pdf/fs2013-3037.pdf','USGSPUBS'); return false;" href="https://pubs.usgs.gov/fs/2013/3037/pdf/fs2013-3037.pdf"><span>USGS science at work in the <span class="hlt">San</span> Francisco Bay and Sacramento-<span class="hlt">San</span> Joaquin Delta estuary</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Shouse, Michelle K.; Cox, Dale A.</p> <p>2013-01-01</p> <p>The <span class="hlt">San</span> Francisco Bay and Sacramento-<span class="hlt">San</span> Joaquin Delta form one of the largest estuaries in the United States. The “Bay-Delta” system provides water to more than 25 million California residents and vast farmlands, as well as key habitat for birds, fish, and other wildlife. To help ensure the health of this crucial estuary, the U.S. Geological Survey, in close cooperation with partner agencies and organizations, is providing science essential to addressing societal issues associated with water quantity and quality, sediment transportation, environmental contamination, animal health and status, habitat restoration, hazards, ground subsidence, and climate change.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/2223280','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/2223280"><span>The cultural definition of an infantile diarrhea in Tambon Korat and Koongyang, northeast Thailand: community perceptions in diarrhea control.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Baclig, P V; Patrick, W K</p> <p>1990-01-01</p> <p>In Tambon Korat and Koongyang in Northeastern Thailand, 88% (n = 60) of the mothers and significant other careproviders interviewed believe in <span class="hlt">poh</span>, a mild, self-limiting diarrhea in infants which is considered a normal prerequisite in child development. The local definition of <span class="hlt">poh</span> as to its nature, symptomatology and home management and implications for diarrhea control activities are presented in this paper.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://www.dtic.mil/docs/citations/ADA371125','DTIC-ST'); return false;" href="http://www.dtic.mil/docs/citations/ADA371125"><span>Consolidated Area Telephone System-<span class="hlt">San</span> Diego Area</span></a></p> <p><a target="_blank" href="http://www.dtic.mil/">DTIC Science & Technology</a></p> <p></p> <p>1996-02-29</p> <p>This audit resulted from the Audit on the Consolidated Area Telephone System-<span class="hlt">San</span> Francisco Bay Area. The Consolidated Area Telephone System ( CATS ...<span class="hlt">San</span> Diego contract, valued at $142 million, will expire in August 1996. In October 1995, administration of CATS transferred from the Navy Public Works...efficiency, and effectiveness of asset accountability over CATS leased telecommunications equipment and services (switches, cabling, and telephones</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://files.eric.ed.gov/fulltext/ED517463.pdf','ERIC'); return false;" href="http://files.eric.ed.gov/fulltext/ED517463.pdf"><span>Trouble Brewing in <span class="hlt">San</span> Diego. Policy Brief</span></a></p> <p><a target="_blank" href="http://www.eric.ed.gov/ERICWebPortal/search/extended.jsp?_pageLabel=advanced">ERIC Educational Resources Information Center</a></p> <p>Buck, Stuart</p> <p>2010-01-01</p> <p>The city of <span class="hlt">San</span> Diego will face enormous budgetary pressures from the growing deficits in public pensions, both at a state and local level. In this policy brief, the author estimates that <span class="hlt">San</span> Diego faces total of $45.4 billion, including $7.95 billion for the county pension system, $5.4 billion for the city pension system, and an estimated $30.7…</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.fs.usda.gov/treesearch/pubs/45255','TREESEARCH'); return false;" href="https://www.fs.usda.gov/treesearch/pubs/45255"><span>Human aspects of air quality in the <span class="hlt">San</span> Bernardino Mountains</span></a></p> <p><a target="_blank" href="http://www.fs.usda.gov/treesearch/">Treesearch</a></p> <p>P.L. Winter</p> <p>1999-01-01</p> <p>The preceding chapters of this book have provided infomation on the ecological characteristics of the <span class="hlt">San</span> Bernardino Mountains, as well as the effects of ozone and other air pollutants on vegetation and soil in the <span class="hlt">San</span> Bernardinos, and additional interactions with air pollution and forest health. This chapter focuses on the human aspects of air quality in the <span class="hlt">San</span>...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=3102397','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=3102397"><span>Cacao use and the <span class="hlt">San</span> Lorenzo Olmec</span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Powis, Terry G.; Cyphers, Ann; Gaikwad, Nilesh W.; Grivetti, Louis; Cheong, Kong</p> <p>2011-01-01</p> <p>Mesoamerican peoples had a long history of cacao use—spanning more than 34 centuries—as confirmed by previous identification of cacao residues on archaeological pottery from Paso de la Amada on the Pacific Coast and the Olmec site of El Manatí on the Gulf Coast. Until now, comparable evidence from <span class="hlt">San</span> Lorenzo, the premier Olmec capital, was lacking. The present study of theobromine residues confirms the continuous presence and use of cacao products at <span class="hlt">San</span> Lorenzo between 1800 and 1000 BCE, and documents assorted vessels forms used in its preparation and consumption. One elite context reveals cacao use as part of a mortuary ritual for sacrificial victims, an event that occurred during the height of <span class="hlt">San</span> Lorenzo's power. PMID:21555564</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AGUFM.T23C2969K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AGUFM.T23C2969K"><span>Geomorphological expression of a complex structural region: <span class="hlt">San</span> Andreas Fault through the <span class="hlt">San</span> Gorgonio Pass, southern California</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Kendrick, K. J.; Matti, J. C.</p> <p>2015-12-01</p> <p>The <span class="hlt">San</span> Gorgonio Pass (SGP) region of southern California is a locus of extensive Quaternary deformation surrounding a complex section of the <span class="hlt">San</span> Andreas Fault (SAF) zone. The geomorphology of the SGP region reflects the complicated history of geologic events in the formation of this structural 'knot'. Critical questions remain in assessing earthquake hazard for this region: What is the likelihood that rupture will propagate through the SGP? If rupture is able to propagate, what pathway will connect the various fault strands? To address these questions, we focus on the geology and geomorphology of the SGP region. We have identified fault-bounded blocks, and focus on three that are developed within crystalline bedrock: the Yucaipa Ridge block (YRB) block, the Kitching Peak block (KPB), and the Pisgah Peak block (PPB). The latter two blocks are positioned south of the YRB, and partially separated from each other by the <span class="hlt">San</span> Bernardino strand; this strand cannot be mapped at the surface as an active connection between fault strands. Both KPB and PPB are bounded to the south by the <span class="hlt">San</span> Gorgonio Pass Fault Zone. Morphometric analyses consistently demonstrate distinctions between KPB and PPB, though the bedrock lithologies are the same. Geologic mapping of the region highlights the differences in Quaternary units within the blocks. These geomorphic and geologic distinctions lead to our interpretation that KPB and PPB have experienced markedly different uplift histories that constrain the history of dextral slip on the SAF through SGP. Specifically, although the latest Quaternary geologic setting of SGP raises questions about modern slip transfer through the Pass, the contrasting uplift histories of KPB and PPB strongly suggest that earlier in Quaternary time SGP was not a barrier to slip transfer between the Coachella Valley to the SE and the <span class="hlt">San</span> Bernardino Basin to the NW.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.usgs.gov/fs/2004/3091/pdf/FS2004-3091.pdf','USGSPUBS'); return false;" href="https://pubs.usgs.gov/fs/2004/3091/pdf/FS2004-3091.pdf"><span>Linking selenium sources to ecosystems: <span class="hlt">San</span> Francisco Bay-Delta Model</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Presser, Theresa S.; Luoma, Samuel N.</p> <p>2004-01-01</p> <p>Marine sedimentary rocks of the Coast Ranges contribute selenium to soil, surface water, and ground water in the western <span class="hlt">San</span> Joaquin Valley, California. Irrigation funnels selenium into a network of subsurface drains and canals. Proposals to build a master drain (i.e., <span class="hlt">San</span> Luis Drain) to discharge into the <span class="hlt">San</span> Francisco Bay-Delta Estuary remain as controversial today as they were in the 1950s, when drainage outside the <span class="hlt">San</span> Joaquin Valley was first considered. An existing 85-mile portion of the <span class="hlt">San</span> Luis Drain was closed in 1986 after fish mortality and deformities in ducks, grebes and coots were discovered at Kesterson National Wildlife Refuge, the temporary terminus of the drain. A 28-mile portion of the drain now conveys drainage from 100,000 acres into the <span class="hlt">San</span> Joaquin River and eventually into the Bay-Delta. If the <span class="hlt">San</span> Luis Drain is extended directly to the Bay-Delta, as is now being proposed as an alternative to sustain agriculture, it could receive drainage from an estimated one-million acres of farmland affected by rising water tables and increasing salinity. In addition to agricultural sources, oil refineries also discharge selenium to the Bay-Delta, although those discharges have declined in recent years. To understand the effects of changing selenium inputs, scientists have developed the Bay-Delta Selenium Model.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.afdc.energy.gov/case/504','SCIGOVWS'); return false;" href="https://www.afdc.energy.gov/case/504"><span>Alternative Fuels Data Center: <span class="hlt">San</span> Diego Leads in Promoting EVs</span></a></p> <p><a target="_blank" href="http://www.science.gov/aboutsearch.html">Science.gov Websites</a></p> <p></p> <p></p> <p>of a <em>school</em> bus Michigan Transports <em>Students</em> in Hybrid Electric <em>School</em> Buses Jan. 4, 2014 Photo of <span class="hlt">San</span> Diego Leads in <em>Promoting</em> EVs to someone by E-mail Share Alternative Fuels Data Center: <span class="hlt">San</span> Diego Leads in <em>Promoting</em> EVs on Facebook Tweet about Alternative Fuels Data Center: <span class="hlt">San</span> Diego Leads in</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.usgs.gov/of/1997/0411/report.pdf','USGSPUBS'); return false;" href="https://pubs.usgs.gov/of/1997/0411/report.pdf"><span>Transport of diazinon in the <span class="hlt">San</span> Joaquin River basin, California</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Kratzer, Charles R.</p> <p>1997-01-01</p> <p>Most of the application of the organophosphate insecticide diazinon in the <span class="hlt">San</span> Joaquin River Basin occurs in winter to control wood boring insects in dormant almond orchards. A federal-state collaborative study found that diazinon accounted for most of the observed toxicity of <span class="hlt">San</span> Joaquin River water to water fleas in February 1993. Previous studies focussed mainly on west-side inputs to the <span class="hlt">San</span> Joaquin River. In this 1994 study, the three major east-side tributaries to the <span class="hlt">San</span> Joaquin River, the Merced, Tuolumne, and Stanislaus Rivers, and a downstream site on the <span class="hlt">San</span> Joaquin River were sampled throughout the hydrographs of a late January and an early February storm. In both storms, the Tuolumne River had the highest concentrations of diazinon and transported the largest load of the three tributaries. The Stanislaus River was a small source in both storms. On the basis of previous storm sampling and estimated traveltimes, ephemeral west-side creeks were probably the main diazinon source early in the storms, while the Tuolumne and Merced Rivers and east-side drainage directly to the <span class="hlt">San</span> Joaquin River were the main sources later. Although 74 percent of diazinon transport in the <span class="hlt">San</span> Joaquin River during 199193 occurred in January and February, transport during each of the two 1994 storms was only 0.05 percent of the amount applied during preceeding dry periods. Nevertheless, some of the diazinon concentrations in the <span class="hlt">San</span> Joaquin River during the January storm exceeded 0.35 micrograms per liter, a concentration shown to be acutely toxic to water fleas. Diazinon concentrations were highly variable during the storms and frequent sampling was required to adequately describe the concentration curves and to estimate loads.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-sts059-213-009.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-sts059-213-009.html"><span><span class="hlt">San</span> Francisco Bay, California as seen from STS-59</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>1994-04-14</p> <p>STS059-213-009 (9-20 April 1994) --- <span class="hlt">San</span> Francisco Bay. Orient with the sea up. The delta of the combined Sacramento and <span class="hlt">San</span> Joaquin Rivers occupies the foreground, <span class="hlt">San</span> Francisco Bay the middle distance, and the Pacific Ocean the rest. Variations in water color caused both by sediment load and by wind streaking strike the eye. Man-made features dominate this scene. The Lafayette/Concord complex is left of the bay head, Vallejo is to the right, the Berkeley/Oakland complex rims the shoreline of the main bay, and <span class="hlt">San</span> Francisco fills the peninsula beyond. Salt-evaporation ponds contain differently-colored algae depending on salinity. The low altitude (less than 120 nautical miles) and unusually-clear air combine to provide unusually-strong green colors in this Spring scene. Hasselblad camera.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=STS059-213-009&hterms=vallejo&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D10%26Ntt%3Dvallejo','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=STS059-213-009&hterms=vallejo&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D10%26Ntt%3Dvallejo"><span><span class="hlt">San</span> Francisco Bay, California as seen from STS-59</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p></p> <p>1994-01-01</p> <p><span class="hlt">San</span> Francisco Bay as seen from STS-59. View is oriented with the sea up. The delta of the combined Sacramento and <span class="hlt">San</span> Joaquin Rivers occupies the foreground with <span class="hlt">San</span> Francisco Bay in the middle distance, then the Pacific Ocean. Variations in water color caused both by sediment load and by wind streaking strike the eye. Man-made features dominate this scene. The Lafayette/Concord complex is left of the bay head, Vallejo is to the right, the Berkeley/Oakland complex rims the shoreline of the main bay, and <span class="hlt">San</span> Francisco fills the peninsula beyond. Salt-evaporation ponds contain differently-colored algae depending on salinity. The low altitude (less than 120 nautical miles) and unusually-clear air combine to provide unusually-strong green colors in this Spring scene.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://archives.datapages.com/data/pacific/data/036/036001/1_ps0360001.htm','USGSPUBS'); return false;" href="http://archives.datapages.com/data/pacific/data/036/036001/1_ps0360001.htm"><span>Geological literature on the <span class="hlt">San</span> Joaquin Valley of California</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Maher, J.C.; Trollman, W.M.; Denman, J.M.</p> <p>1973-01-01</p> <p>The following list of references includes most of the geological literature on the <span class="hlt">San</span> Joaquin Valley and vicinity in central California (see figure 1) published prior to January 1, 1973. The <span class="hlt">San</span> Joaquin Valley comprises all or parts of 11 counties -- Alameda, Calaveras, Contra Costa, Fresno, Kern, Kings, Madera, Merced, <span class="hlt">San</span> Joaquin, Stanislaus, and Tulare (figure 2). As a matter of convenient geographical classification the boundaries of the report area have been drawn along county lines, and to include <span class="hlt">San</span> Benito and Santa Clara Counties on the west and Mariposa and Tuolumne Counties on the east. Therefore, this list of geological literature includes some publications on the Diablo and Temblor Ranges on the west, the Tehachapi Mountains and Mojave Desert on the south, and the Sierra Nevada Foothills and Mountains on the east.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/29527011','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/29527011"><span>Space flight-associated neuro-ocular syndrome (<span class="hlt">SANS</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, Andrew G; Mader, Thomas H; Gibson, C Robert; Brunstetter, Tyson J; Tarver, William J</p> <p>2018-03-12</p> <p>Interesting novel and somewhat perplexing physiologic and pathologic neuro-ocular findings have been documented in astronauts during and after long duration space flight (LDSF). These findings collectively have been termed the "space flight-associated neuro-ocular syndrome" (<span class="hlt">SANS</span>). The National Aeronautics and Space Administration (NASA) in the United States has meticulously and prospectively documented the clinical, ultrasound, optical coherence tomography imaging, and radiographic findings of <span class="hlt">SANS</span> including unilateral and bilateral optic disc edema, globe flattening, choroidal and retinal folds, hyperopic refractive error shifts, and nerve fiber layer infarcts (i.e., cotton wool spots). NASA and collaborating researchers continue to study <span class="hlt">SANS</span> in preparation for future manned missions to space, including continued trips to the ISS, a return to the moon, or perhaps new voyages to the asteroid belt, or the planet, Mars.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/FR-2010-10-27/pdf/2010-27114.pdf','FEDREG'); return false;" href="https://www.gpo.gov/fdsys/pkg/FR-2010-10-27/pdf/2010-27114.pdf"><span>75 FR 65985 - Safety Zone: Epic Roasthouse Private Party Firework Display, <span class="hlt">San</span> Francisco, CA</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collection.action?collectionCode=FR">Federal Register 2010, 2011, 2012, 2013, 2014</a></p> <p></p> <p>2010-10-27</p> <p>... the navigable waters of <span class="hlt">San</span> Francisco Bay 1,000 yards off Epic Roasthouse Restaurant, <span class="hlt">San</span> Francisco... waters of <span class="hlt">San</span> Francisco Bay, 1,000 yards off Epic Roasthouse Restaurant, <span class="hlt">San</span> Francisco, CA. The fireworks... Epic Roasthouse Restaurant, <span class="hlt">San</span> Francisco, CA. The fireworks launch site will be located in position 37...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/FR-2012-06-12/pdf/2012-14299.pdf','FEDREG'); return false;" href="https://www.gpo.gov/fdsys/pkg/FR-2012-06-12/pdf/2012-14299.pdf"><span>77 FR 34984 - Notice of Intent To Repatriate a Cultural Item: <span class="hlt">San</span> Diego Museum of Man, <span class="hlt">San</span> Diego, CA</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collection.action?collectionCode=FR">Federal Register 2010, 2011, 2012, 2013, 2014</a></p> <p></p> <p>2012-06-12</p> <p>...The <span class="hlt">San</span> Diego Museum of Man, in consultation with the appropriate Indian tribes, has determined that a cultural item meets the definition of unassociated funerary object and repatriation to the Indian tribes stated below may occur if no additional claimants come forward. Representatives of any Indian tribe that believes itself to be culturally affiliated with the cultural item may contact the <span class="hlt">San</span> Diego Museum of Man.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://eric.ed.gov/?q=definition+AND+compensation+AND+benefit&id=ED338310','ERIC'); return false;" href="https://eric.ed.gov/?q=definition+AND+compensation+AND+benefit&id=ED338310"><span>Master Contract: <span class="hlt">San</span> Joaquin Delta College Teachers Association/CTA/NEA and <span class="hlt">San</span> Joaquin Delta Community College District, July 1987-June 1990.</span></a></p> <p><a target="_blank" href="http://www.eric.ed.gov/ERICWebPortal/search/extended.jsp?_pageLabel=advanced">ERIC Educational Resources Information Center</a></p> <p>San Joaquin Delta Community Coll. District, CA.</p> <p></p> <p>The collective bargaining agreement between the <span class="hlt">San</span> Joaquin Delta Community College District Board of Trustees and the <span class="hlt">San</span> Joaquin Delta College Teachers Association/California Teachers Association/National Education Association is presented. This contract, covering the period from July 1987 through June 1990, deals with the following topics:…</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('https://www.loc.gov/pictures/collection/hh/item/az0379.photos.321638p/','SCIGOV-HHH'); return false;" href="https://www.loc.gov/pictures/collection/hh/item/az0379.photos.321638p/"><span>3. Photographic copy of map. <span class="hlt">San</span> Carlos Project, Arizona. Irrigation ...</span></a></p> <p><a target="_blank" href="http://www.loc.gov/pictures/collection/hh/">Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey</a></p> <p></p> <p></p> <p>3. Photographic copy of map. <span class="hlt">San</span> Carlos Project, Arizona. Irrigation System. Department of the Interior. United States Indian Service. No date. Circa 1939. (Source: Henderson, Paul. U.S. Indian Irrigation Service. Supplemental Storage Reservoir, Gila River. November 10, 1939, RG 115, <span class="hlt">San</span> Carlos Project, National Archives, Rocky Mountain Region, Denver, CO.) - <span class="hlt">San</span> Carlos Irrigation Project, Lands North & South of Gila River, Coolidge, Pinal County, AZ</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/CFR-2012-title33-vol1/pdf/CFR-2012-title33-vol1-sec80-1142.pdf','CFR2012'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2012-title33-vol1/pdf/CFR-2012-title33-vol1-sec80-1142.pdf"><span>33 CFR 80.1142 - <span class="hlt">San</span> Francisco Harbor, CA.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2012&page.go=Go">Code of Federal Regulations, 2012 CFR</a></p> <p></p> <p>2012-07-01</p> <p>... 33 Navigation and Navigable Waters 1 2012-07-01 2012-07-01 false <span class="hlt">San</span> Francisco Harbor, CA. 80.1142 Section 80.1142 Navigation and Navigable Waters COAST GUARD, DEPARTMENT OF HOMELAND SECURITY INTERNATIONAL NAVIGATION RULES COLREGS DEMARCATION LINES Pacific Coast § 80.1142 <span class="hlt">San</span> Francisco Harbor, CA. A straight line...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/CFR-2010-title33-vol1/pdf/CFR-2010-title33-vol1-sec80-1142.pdf','CFR'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2010-title33-vol1/pdf/CFR-2010-title33-vol1-sec80-1142.pdf"><span>33 CFR 80.1142 - <span class="hlt">San</span> Francisco Harbor, CA.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2010&page.go=Go">Code of Federal Regulations, 2010 CFR</a></p> <p></p> <p>2010-07-01</p> <p>... 33 Navigation and Navigable Waters 1 2010-07-01 2010-07-01 false <span class="hlt">San</span> Francisco Harbor, CA. 80.1142 Section 80.1142 Navigation and Navigable Waters COAST GUARD, DEPARTMENT OF HOMELAND SECURITY INTERNATIONAL NAVIGATION RULES COLREGS DEMARCATION LINES Pacific Coast § 80.1142 <span class="hlt">San</span> Francisco Harbor, CA. A straight line...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/CFR-2011-title33-vol1/pdf/CFR-2011-title33-vol1-sec80-1142.pdf','CFR2011'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2011-title33-vol1/pdf/CFR-2011-title33-vol1-sec80-1142.pdf"><span>33 CFR 80.1142 - <span class="hlt">San</span> Francisco Harbor, CA.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2011&page.go=Go">Code of Federal Regulations, 2011 CFR</a></p> <p></p> <p>2011-07-01</p> <p>... 33 Navigation and Navigable Waters 1 2011-07-01 2011-07-01 false <span class="hlt">San</span> Francisco Harbor, CA. 80.1142 Section 80.1142 Navigation and Navigable Waters COAST GUARD, DEPARTMENT OF HOMELAND SECURITY INTERNATIONAL NAVIGATION RULES COLREGS DEMARCATION LINES Pacific Coast § 80.1142 <span class="hlt">San</span> Francisco Harbor, CA. A straight line...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/CFR-2014-title33-vol1/pdf/CFR-2014-title33-vol1-sec80-1142.pdf','CFR2014'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2014-title33-vol1/pdf/CFR-2014-title33-vol1-sec80-1142.pdf"><span>33 CFR 80.1142 - <span class="hlt">San</span> Francisco Harbor, CA.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2014&page.go=Go">Code of Federal Regulations, 2014 CFR</a></p> <p></p> <p>2014-07-01</p> <p>... 33 Navigation and Navigable Waters 1 2014-07-01 2014-07-01 false <span class="hlt">San</span> Francisco Harbor, CA. 80.1142 Section 80.1142 Navigation and Navigable Waters COAST GUARD, DEPARTMENT OF HOMELAND SECURITY INTERNATIONAL NAVIGATION RULES COLREGS DEMARCATION LINES Pacific Coast § 80.1142 <span class="hlt">San</span> Francisco Harbor, CA. A straight line...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/CFR-2013-title33-vol1/pdf/CFR-2013-title33-vol1-sec80-1142.pdf','CFR2013'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2013-title33-vol1/pdf/CFR-2013-title33-vol1-sec80-1142.pdf"><span>33 CFR 80.1142 - <span class="hlt">San</span> Francisco Harbor, CA.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2013&page.go=Go">Code of Federal Regulations, 2013 CFR</a></p> <p></p> <p>2013-07-01</p> <p>... 33 Navigation and Navigable Waters 1 2013-07-01 2013-07-01 false <span class="hlt">San</span> Francisco Harbor, CA. 80.1142 Section 80.1142 Navigation and Navigable Waters COAST GUARD, DEPARTMENT OF HOMELAND SECURITY INTERNATIONAL NAVIGATION RULES COLREGS DEMARCATION LINES Pacific Coast § 80.1142 <span class="hlt">San</span> Francisco Harbor, CA. A straight line...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/CFR-2011-title33-vol1/pdf/CFR-2011-title33-vol1-sec80-1104.pdf','CFR2011'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2011-title33-vol1/pdf/CFR-2011-title33-vol1-sec80-1104.pdf"><span>33 CFR 80.1104 - <span class="hlt">San</span> Diego Harbor, CA.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2011&page.go=Go">Code of Federal Regulations, 2011 CFR</a></p> <p></p> <p>2011-07-01</p> <p>... 33 Navigation and Navigable Waters 1 2011-07-01 2011-07-01 false <span class="hlt">San</span> Diego Harbor, CA. 80.1104 Section 80.1104 Navigation and Navigable Waters COAST GUARD, DEPARTMENT OF HOMELAND SECURITY INTERNATIONAL NAVIGATION RULES COLREGS DEMARCATION LINES Pacific Coast § 80.1104 <span class="hlt">San</span> Diego Harbor, CA. A line drawn from...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/CFR-2013-title33-vol1/pdf/CFR-2013-title33-vol1-sec80-1104.pdf','CFR2013'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2013-title33-vol1/pdf/CFR-2013-title33-vol1-sec80-1104.pdf"><span>33 CFR 80.1104 - <span class="hlt">San</span> Diego Harbor, CA.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2013&page.go=Go">Code of Federal Regulations, 2013 CFR</a></p> <p></p> <p>2013-07-01</p> <p>... 33 Navigation and Navigable Waters 1 2013-07-01 2013-07-01 false <span class="hlt">San</span> Diego Harbor, CA. 80.1104 Section 80.1104 Navigation and Navigable Waters COAST GUARD, DEPARTMENT OF HOMELAND SECURITY INTERNATIONAL NAVIGATION RULES COLREGS DEMARCATION LINES Pacific Coast § 80.1104 <span class="hlt">San</span> Diego Harbor, CA. A line drawn from...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/CFR-2010-title33-vol1/pdf/CFR-2010-title33-vol1-sec80-1104.pdf','CFR'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2010-title33-vol1/pdf/CFR-2010-title33-vol1-sec80-1104.pdf"><span>33 CFR 80.1104 - <span class="hlt">San</span> Diego Harbor, CA.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2010&page.go=Go">Code of Federal Regulations, 2010 CFR</a></p> <p></p> <p>2010-07-01</p> <p>... 33 Navigation and Navigable Waters 1 2010-07-01 2010-07-01 false <span class="hlt">San</span> Diego Harbor, CA. 80.1104 Section 80.1104 Navigation and Navigable Waters COAST GUARD, DEPARTMENT OF HOMELAND SECURITY INTERNATIONAL NAVIGATION RULES COLREGS DEMARCATION LINES Pacific Coast § 80.1104 <span class="hlt">San</span> Diego Harbor, CA. A line drawn from...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/CFR-2014-title33-vol1/pdf/CFR-2014-title33-vol1-sec80-1104.pdf','CFR2014'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2014-title33-vol1/pdf/CFR-2014-title33-vol1-sec80-1104.pdf"><span>33 CFR 80.1104 - <span class="hlt">San</span> Diego Harbor, CA.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2014&page.go=Go">Code of Federal Regulations, 2014 CFR</a></p> <p></p> <p>2014-07-01</p> <p>... 33 Navigation and Navigable Waters 1 2014-07-01 2014-07-01 false <span class="hlt">San</span> Diego Harbor, CA. 80.1104 Section 80.1104 Navigation and Navigable Waters COAST GUARD, DEPARTMENT OF HOMELAND SECURITY INTERNATIONAL NAVIGATION RULES COLREGS DEMARCATION LINES Pacific Coast § 80.1104 <span class="hlt">San</span> Diego Harbor, CA. A line drawn from...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/CFR-2012-title33-vol1/pdf/CFR-2012-title33-vol1-sec80-1104.pdf','CFR2012'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2012-title33-vol1/pdf/CFR-2012-title33-vol1-sec80-1104.pdf"><span>33 CFR 80.1104 - <span class="hlt">San</span> Diego Harbor, CA.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2012&page.go=Go">Code of Federal Regulations, 2012 CFR</a></p> <p></p> <p>2012-07-01</p> <p>... 33 Navigation and Navigable Waters 1 2012-07-01 2012-07-01 false <span class="hlt">San</span> Diego Harbor, CA. 80.1104 Section 80.1104 Navigation and Navigable Waters COAST GUARD, DEPARTMENT OF HOMELAND SECURITY INTERNATIONAL NAVIGATION RULES COLREGS DEMARCATION LINES Pacific Coast § 80.1104 <span class="hlt">San</span> Diego Harbor, CA. A line drawn from...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/biblio/5861926-rooftops-san-fernando','SCIGOV-STC'); return false;" href="https://www.osti.gov/biblio/5861926-rooftops-san-fernando"><span>Rooftops of <span class="hlt">San</span> Fernando</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>Ellis, G.</p> <p>1978-06-01</p> <p>A review of the Jet Propulsion Laboratory study of the possibilities of using solar cell arrays on rooftops in the <span class="hlt">San</span> Fernando Valley is given. Some cost and performance goals developed in this study are described. (MOW)</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/CFR-2010-title40-vol17/pdf/CFR-2010-title40-vol17-sec81-176.pdf','CFR'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2010-title40-vol17/pdf/CFR-2010-title40-vol17-sec81-176.pdf"><span>40 CFR 81.176 - <span class="hlt">San</span> Luis Intrastate Air Quality Control Region.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2010&page.go=Go">Code of Federal Regulations, 2010 CFR</a></p> <p></p> <p>2010-07-01</p> <p>... 40 Protection of Environment 17 2010-07-01 2010-07-01 false <span class="hlt">San</span> Luis Intrastate Air Quality Control Region. 81.176 Section 81.176 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED... Quality Control Regions § 81.176 <span class="hlt">San</span> Luis Intrastate Air Quality Control Region. The <span class="hlt">San</span> Luis Intrastate...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.usgs.gov/wri/1983/4044/report.pdf','USGSPUBS'); return false;" href="https://pubs.usgs.gov/wri/1983/4044/report.pdf"><span>Evaluation of the <span class="hlt">San</span> Dieguito, <span class="hlt">San</span> Elijo, and <span class="hlt">San</span> Pasqual hydrologic subareas for reclaimed water use, <span class="hlt">San</span> Diego County, California</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Izbicki, J.A.</p> <p>1983-01-01</p> <p>A study was made to determine the suitability of three small hydrologic subareas in <span class="hlt">San</span> Diego County, California, for reuse of municipal wastewater. Ground-water quality has been impacted by agricultural water use, imported water use, changes in natural recharge patterns, seawater intrusion, and intrusion of ground water from surrounding marine sediments; therefore, ground water is of limited value as a water-supply source. Reclaimed water use is feasible and expected to improve ground-water quality, creating a new source of water for agricultural use. (USGS)</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/biblio/1351490-gila-san-francisco-decision-support-tool','SCIGOV-STC'); return false;" href="https://www.osti.gov/biblio/1351490-gila-san-francisco-decision-support-tool"><span>Gila <span class="hlt">San</span> Francisco Decision Support Tool - 2010</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>Sun, Amy Cha-Tien; Tidwell, Vincent C.; Klisa, Geoff</p> <p>2014-12-01</p> <p>The Gila-<span class="hlt">San</span> Francisco Decision Support Tool analyzes the water demand and supply for the Gila <span class="hlt">San</span> Francisco region spanning four counties in southwestern New Mexico (Catron, Hidalgo, Luna and Grant). Catalyzed by the 2004 Arizona Water Settlement Act and prompted by a keen awareness for the unique ecology in the region, the model was developed by Sandia with a collaborative modeling team from federal, state, local, and public stakeholders</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/11414455','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/11414455"><span>Epidemiology, symptoms and treatment of paragonimiasis in Sin Ho district, <span class="hlt">Lai</span> Chau province, Vietnam.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>De, N V; Cong, L D; Kino, H; Son, D T; Vien, H V</p> <p>2000-01-01</p> <p>Sin Ho is a district of the northern mountainous province of <span class="hlt">Lai</span> Chau, Vietnam, where the people have the habit of eating undercooked crabs. A study on paragoniamiasis carried out from 1994 to 1995 with 1,642 persons in this endemic area, showed that the rate of eating raw-crab was 72.5%. Crab examination (Ranguna kimboiensis) showed an infection rate of Paragonimus metacercaria of 98.1%. With 624 stool samples examined by Kato technique, the infection rate of Paragonimus in humans was 6.4%. With 338 sputum samples examined by direct and centrifuge methods, the infection rate of Paragonimus was 7.4%. Most of the patients were children (63.2%). The infection rate of Paragonimus in dogs was 18.2 - 33.3%. Adult worms, collected from the dogs in the field and from the cats in laboratory, were identified as Paragonimus heterotremus. The main symptoms of Paragonimus patients were cough and hemoptysis (92%), discontinuously developed (96%), without fever (94%), chest pain (70%), pleural effusion (26%), neurogical symptoms (8%), eosinophilia (88.9%), nodular ring shadows in the lungs, as shown by chest X-ray examination and more in lower lobe, (76.2%). Paragonimiasis patients were treated by (a) Praziquantel 25 mg/kg/day x 3 days; the cure rate was 68.8%. (b) Praziquantel 50 mg/kg/day x 3 days; the cure rate was 75%.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.usgs.gov/fs/2001/fs017-01/','USGSPUBS'); return false;" href="https://pubs.usgs.gov/fs/2001/fs017-01/"><span>The <span class="hlt">San</span> Francisco volcanic field, Arizona</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Priest, S.S.; Duffield, W.A.; Malis-Clark, Karen; Hendley, J. W.; Stauffer, P.H.</p> <p>2001-01-01</p> <p>Northern Arizona's <span class="hlt">San</span> Francisco Volcanic Field, much of which lies within Coconino and Kaibab National Forests, is an area of young volcanoes along the southern margin of the Colorado Plateau. During its 6-million-year history, this field has produced more than 600 volcanoes. Their activity has created a topographically varied landscape with forests that extend from the Pi?on-Juniper up to the Bristlecone Pine life zones. The most prominent landmark is <span class="hlt">San</span> Francisco Mountain, a stratovolcano that rises to 12,633 feet and serves as a scenic backdrop to the city of Flagstaff.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/FR-2012-09-28/pdf/2012-23918.pdf','FEDREG'); return false;" href="https://www.gpo.gov/fdsys/pkg/FR-2012-09-28/pdf/2012-23918.pdf"><span>77 FR 59648 - Notice of Inventory Completion: <span class="hlt">San</span> Francisco State University, NAGPRA Program, <span class="hlt">San</span> Francisco, CA</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collection.action?collectionCode=FR">Federal Register 2010, 2011, 2012, 2013, 2014</a></p> <p></p> <p>2012-09-28</p> <p>...The <span class="hlt">San</span> Francisco State University NAGPRA Program has completed an inventory of human remains and associated funerary objects, in consultation with the appropriate Indian tribe, and has determined that there is a cultural affiliation between the human remains and associated funerary objects and a present-day Indian tribe. Representatives of any Indian tribe that believes itself to be culturally affiliated with the human remains and associated funerary objects may contact the <span class="hlt">San</span> Francisco State University NAGPRA Program. Repatriation of the human remains and associated funerary objects to the Indian tribe stated below may occur if no additional claimants come forward.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://eric.ed.gov/?q=level+AND+topical&pg=7&id=ED568612','ERIC'); return false;" href="https://eric.ed.gov/?q=level+AND+topical&pg=7&id=ED568612"><span>Voice and Valency in <span class="hlt">San</span> Luis Potosi Huasteco</span></a></p> <p><a target="_blank" href="http://www.eric.ed.gov/ERICWebPortal/search/extended.jsp?_pageLabel=advanced">ERIC Educational Resources Information Center</a></p> <p>Munoz Ledo Yanez, Veronica</p> <p>2014-01-01</p> <p>This thesis presents an analysis of the system of transitivity, voice and valency alternations in Huasteco of <span class="hlt">San</span> Luis Potosi (Mayan) within a functional-typological framework. The study is based on spoken discourse and elicited data collected in the municipalities of Aquismon and Tancanhuitz de Santos in the state of <span class="hlt">San</span> Luis Potosi, Mexico. The…</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=4581911','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=4581911"><span>Effect of Legal Status of Pharmacy Syringe Sales on Syringe Purchases by Persons Who Inject Drugs in <span class="hlt">San</span> Francisco and <span class="hlt">San</span> Diego, CA</span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Siddiqui, Saira S.; Armenta, Richard; Evans, Jennifer L.; Yu, Michelle; Cuevas-Mota, Jazmine; Page, Kimberly; Davidson, Peter; Garfein, Richard S.</p> <p>2015-01-01</p> <p>Sharing blood-contaminated syringes is the main risk factor for acquiring and transmitting blood-borne infections among persons who inject drugs (PWID). To reduce this risk, in 2005, California enacted legislation allowing local health jurisdictions to legalize non-prescription syringe sales after approving a disease prevention demonstration project (DPDP). With <span class="hlt">San</span> Francisco approving a DPDP immediately and <span class="hlt">San</span> Diego never approving one, we compared PWID across cities for their use of pharmacies PWID to obtain syringes. PWID age 18–30 years old were recruited into separate studies in <span class="hlt">San</span> Francisco (n=243) and <span class="hlt">San</span> Diego (n=338) between 2008 and 2011. We used multivariable logistic regression to compare the proportions of PWID who obtained syringes from pharmacies by city while controlling for socio-demographics, injection practices and other risk behaviors. Overall, most PWID were white (71%), male (63%), and between the ages of 18–25 years (55%). Compared to <span class="hlt">San</span> Francisco, a smaller proportion of PWID in <span class="hlt">San</span> Diego had bought syringes from pharmacies in the prior three months (16.9% vs. 49.8%; p<0.001), which remained statistically significant after adjusting for socio-demographic and behavioral factors (adjusted odds ratio=4.45, 95% confidence interval: 2.98, 6.65). Use of pharmacies to obtain syringes was greater where it was legal to do so. Public health policy can influence HIV and hepatitis C associated risk among PWID; however, implementation of these policies is crucial for the benefits to be realized. PMID:26252980</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('https://pubs.usgs.gov/sim/2006/2918/sim2918_geolposter-hires.pdf','USGSPUBS'); return false;" href="https://pubs.usgs.gov/sim/2006/2918/sim2918_geolposter-hires.pdf"><span>Geologic map of the <span class="hlt">San</span> Francisco Bay 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>Graymer, R.W.; Moring, B.C.; Saucedo, G.J.; Wentworth, C.M.; Brabb, E.E.; Knudsen, K. L.</p> <p>2006-01-01</p> <p>The rocks and fossils of the <span class="hlt">San</span> Francisco Bay region reveal that the geology there is the product of millions of years at the active western margin of North America. The result of this history is a complex mosaic of geologic materials and structures that form the landscape. A geologic map is one of the basic tools to understand the geology, geologic hazards, and geologic history of a region.With heightened public awareness about earthquake hazards leading up to the 100th anniversary of the 1906 <span class="hlt">San</span> Francisco earthquake, the U.S. Geological Survey (USGS) is releasing new maps of the <span class="hlt">San</span> Francisco Bay Area designed to give residents and others a new look at the geologic history and hazards of the region. The “Geologic Map of the <span class="hlt">San</span> Francisco Bay region” shows the distribution of geologic materials and structures, demonstrates how geologists study the age and origin of the rocks and deposits that we live on, and reveals the complicated geologic history that has led to the landscape that shapes the Bay Area.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://landslides.usgs.gov/docs/coe/CoeISL2008.pdf','USGSPUBS'); return false;" href="http://landslides.usgs.gov/docs/coe/CoeISL2008.pdf"><span>Landslide risk in the <span class="hlt">San</span> Francisco Bay 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>Coe, J.A.; Crovelli, R.A.</p> <p>2008-01-01</p> <p>We have used historical records of damaging landslides triggered by rainstorms, and a newly developed Probabilistic Landslide Assessment Cost Estimation System (PLACES), to estimate the numbers and direct costs of future landslides in the <span class="hlt">San</span> Francisco Bay region. The estimated annual cost of future landslides in the entire region is about US $15 million (year 2000 $). The estimated annual cost is highest for <span class="hlt">San</span> Mateo County ($3.32 million) and lowest for Solano County ($0.18 million). Normalizing costs by dividing by the percentage of land area with slopes equal or greater than about 10° indicates that <span class="hlt">San</span> Francisco County will have the highest cost per square km ($7,400), whereas Santa Clara County will have the lowest cost per square km ($230). These results indicate that the <span class="hlt">San</span> Francisco Bay region has one of the highest levels of landslide risk in the United States. Compared to landslide cost estimates from the rest of the world, the risk level in the Bay region seems high, but not exceptionally high.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.fs.usda.gov/treesearch/pubs/20610','TREESEARCH'); return false;" href="https://www.fs.usda.gov/treesearch/pubs/20610"><span>Timber resource statistics for the <span class="hlt">San</span> Joaquin and southern resource areas of California.</span></a></p> <p><a target="_blank" href="http://www.fs.usda.gov/treesearch/">Treesearch</a></p> <p>Karen L. Waddell; Patricia M. Bassett</p> <p>1997-01-01</p> <p>This report is a summary of timber resource statistics for the <span class="hlt">San</span> Joaquin and Southern Resource Areas of California, which include Alpine, Amador, Calaveras, Fresno, Imperial, Inyo, Kern, Kings, Los Angeles, Madera, Mariposa, Merced, Mono, Orange, Riverside, <span class="hlt">San</span> Bernardino, <span class="hlt">San</span> Diego, <span class="hlt">San</span> Joaquin, Stanislaus, Tulare, and Tuolumne Counties. Data were collected as part...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.er.usgs.gov/publication/70019175','USGSPUBS'); return false;" href="https://pubs.er.usgs.gov/publication/70019175"><span>Three-dimensional upper crustal velocity structure beneath <span class="hlt">San</span> Francisco Peninsula, California</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.; Zoback, M.L.</p> <p>1997-01-01</p> <p>This paper presents new seismic data from, and crustal models of the <span class="hlt">San</span> Francisco Peninsula. In much of central California the <span class="hlt">San</span> Andreas fault juxtaposes the Cretaceous granitic Salinian terrane on its west and the Late Mesozoic/Early Tertiary Franciscan Complex on its east. On <span class="hlt">San</span> Francisco Peninsula, however, the present-day <span class="hlt">San</span> Andreas fault is completely within a Franciscan terrane, and the Pilarcitos fault, located southwest of the <span class="hlt">San</span> Andreas, marks the Salinian-Franciscan boundary. This circumstance has evoked two different explanations: either the Pilarcitos is a thrust fault that has pushed Franciscan rocks over Salinian rocks or the Pilarcitos is a transform fault that has accommodated significant right-lateral slip. In an effort to better resolve the subsurface structure of the peninsula faults, we established a temporary network of 31 seismographs arrayed across the <span class="hlt">San</span> Andreas fault and the subparallel Pilarcitos fault at ???1-2 km spacings. These instruments were deployed during the first 6 months of 1995 and recorded local earthquakes, air gun sources set off in <span class="hlt">San</span> Francisco Bay, and explosive sources. Travel times from these sources were used to augment earthquake arrival times recorded by the Northern California Seismic Network and were inverted for three-dimensional velocity structure. Results show lateral velocity changes at depth (???0.5-7 km) that correlate with downward vertical projections of the surface traces of the <span class="hlt">San</span> Andreas and Pilarcitos faults. We thus interpret the faults as high-angle to vertical features (constrained to a 70??-110?? dip range). From this we conclude that the Pilarcitos fault is probably an important strike-slip fault that accommodated much of the right-lateral plate boundary strain on the peninsula prior to the initiation of the modern-day <span class="hlt">San</span> Andreas fault in this region sometime after about 3.0 m.y. ago.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://www.water.ca.gov/iep/products/newsletterPrevious.cfm','USGSPUBS'); return false;" href="http://www.water.ca.gov/iep/products/newsletterPrevious.cfm"><span>Specific conductance, water temperature, and water level data, <span class="hlt">San</span> Francisco Bay, California, water year 1998</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Buchanan, Paul A.</p> <p>1999-01-01</p> <p>Specific conductance and water temperature data are continuously recorded at four sites in <span class="hlt">San</span> Francisco Bay, California: <span class="hlt">San</span> Pablo Strait at Point <span class="hlt">San</span> Pablo, Central <span class="hlt">San</span> Francisco Bay at Presidio Military Reservation, Pier 24 at Bay Bridge, and South <span class="hlt">San</span> Francisco Bay at <span class="hlt">San</span> Mateo Bridge near Foster City (Figure 1). Water level data are recorded only at <span class="hlt">San</span> Pablo Strait at Point <span class="hlt">San</span> Pablo. These data were recorded by the Department of Water Resources (DWR) before 1988, by the US Geological Survey (USGS) National Research Program from 1988 to 1989, and by the USGS-DWR cooperative program since 1990. This article presents time-series plots of data from the four sites in <span class="hlt">San</span> Francisco Bay during water year 1998 (1 October 1997 through 30 September 1998).</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/26194531','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/26194531"><span>The response of ecosystem carbon fluxes to <span class="hlt">LAI</span> and environmental drivers in a maize crop grown in two contrasting seasons.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Vitale, Luca; Di Tommasi, Paul; D'Urso, Guido; Magliulo, Vincenzo</p> <p>2016-03-01</p> <p>The eddy correlation technique was used to investigate the influence of biophysical variables and crop phenological phases on the behaviour of ecosystem carbon fluxes of a maize crop, in two contrasting growing seasons. In 2009, the reduced water supply during the early growing stage limited leaf area expansion, thus negatively affecting canopy photosynthesis. The variability of gross primary production (GPP) and ecosystem respiration (R eco) was mainly explained by seasonal variation of leaf area index (<span class="hlt">LAI</span>). The seasonal variation of R eco was positively influenced by soil temperatures (T soil) in 2008 but not in 2009. In 2008, a contribution of both autotrophic and heterotrophic components to total R eco could be hypothesized, while during 2009, autotrophic respiration is supposed to be the most important component. Crop phenological phases affected the response of ecosystem fluxes to biophysical drivers.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.loc.gov/pictures/collection/hh/item/ca0006.photos.010785p/','SCIGOV-HHH'); return false;" href="https://www.loc.gov/pictures/collection/hh/item/ca0006.photos.010785p/"><span>8. Historic American Buildings Survey <span class="hlt">San</span> Francisco Chronicle Library Original: ...</span></a></p> <p><a target="_blank" href="http://www.loc.gov/pictures/collection/hh/">Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey</a></p> <p></p> <p></p> <p>8. Historic American Buildings Survey <span class="hlt">San</span> Francisco Chronicle Library Original: 1936 Re-photo: June 1940 WEST ELEVATION - Mission <span class="hlt">San</span> Jose de Guadalupe, Mission & Washington Boulevards, Fremont, Alameda County, CA</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://files.eric.ed.gov/fulltext/ED369134.pdf','ERIC'); return false;" href="http://files.eric.ed.gov/fulltext/ED369134.pdf"><span>Smart Schools for <span class="hlt">San</span> Antonio's Future: A Report on Public Education.</span></a></p> <p><a target="_blank" href="http://www.eric.ed.gov/ERICWebPortal/search/extended.jsp?_pageLabel=advanced">ERIC Educational Resources Information Center</a></p> <p>Trinity Univ., San Antonio, TX. Center for Educational Leadership.</p> <p></p> <p>Schools in <span class="hlt">San</span> Antonio, Texas, need to make changes to make life work better for <span class="hlt">San</span> Antonio's students, to improve their learning, and to help them become happier and more productive students. Schools must take children where they are and work with their circumstances. <span class="hlt">San</span> Antonio is failing to provide students with the learning and development…</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.usgs.gov/sir/2005/5086/','USGSPUBS'); return false;" href="https://pubs.usgs.gov/sir/2005/5086/"><span>Geochemical assessment of metals and dioxin in sediment from the <span class="hlt">San</span> Carlos Reservoir and the Gila, <span class="hlt">San</span> Carlos, and <span class="hlt">San</span> Francisco Rivers, Arizona</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Church, Stan E.; Choate, LaDonna M.; Marot, Marci E.; Fey, David L.; Adams, Monique; Briggs, Paul H.; Brown, Zoe Ann</p> <p>2005-01-01</p> <p>In October 2004, we sampled stream-bed sediment, terrace sediment, and sediment from the <span class="hlt">San</span> Carlos Reservoir to determine the spatial and chronological variation of six potentially toxic metals-Cu, Pb, Zn, Cd, As, and Hg. Water levels in the <span class="hlt">San</span> Carlos Reservoir were at a 20-year low at an elevation of 2,409 ft (734.3 m). Four cores were taken from the reservoir: one from the <span class="hlt">San</span> Carlos River arm, one from the Gila River arm, and two from the <span class="hlt">San</span> Carlos Reservoir just west of the Pinal County line. Radioisotope chronometry (7Be, 137Cs, and 210Pb) conducted on sediment from the reservoir cores provides a good chronological record back to 1959. Chronology prior to that, during the 1950s, is based on our interpretation of the 137Cs anomaly in reservoir cores. During and prior to the 1950s, the reservoir was dry and sediment-accumulation rates were irregular; age control based on radioisotope data was not possible. We recovered sediment at the base of one 4-m-long core that may date back to the late 1930s. The sedimentological record contains two discrete events, one about 1978-83 and one about 1957, where the Cu concentration in reservoir sediment exceeded recommended sediment quality guidelines and should have had an effect on sensitive aquatic and benthic organisms. Concentrations of Zn determined in sediment deposited during the 1957(?) event also exceeded recommended sediment quality guidelines. Concentration data for Cu from the four cores clearly indicate that the source of this material was upstream on the Gila River. Lead isotope data, coupled with the geochemical data from a 2M HCl-1 percent H2O2 leach of selected sediment samples, show two discrete populations of data. One represents the dominant sediment load derived from the Safford Valley, and a second reflects sediment derived from the <span class="hlt">San</span> Francisco River. The Cu concentration spikes in the reservoir cores have chemical and Pb isotope signatures that indicate that deposits in a porphyry copper deposit</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://sanjuanultra.org','SCIGOVWS'); return false;" href="http://sanjuanultra.org"><span><span class="hlt">San</span> Juan Ultra (Mooklabs)</span></a></p> <p><a target="_blank" href="http://www.science.gov/aboutsearch.html">Science.gov Websites</a></p> <p></p> <p></p> <p>de Información Formulario para la solicitud de datos e información relevantes a las <em>investigaciones</em> Science Foundation under Grant No. 0948507." back up ↑ © Copyright <em>2018</em> <span class="hlt">San</span> Juan Ultra (Mooklabs</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.loc.gov/pictures/collection/hh/item/ca0006.photos.010793p/','SCIGOV-HHH'); return false;" href="https://www.loc.gov/pictures/collection/hh/item/ca0006.photos.010793p/"><span>16. Historic American Buildings Survey <span class="hlt">San</span> Francisco Chronicle Library About: ...</span></a></p> <p><a target="_blank" href="http://www.loc.gov/pictures/collection/hh/">Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey</a></p> <p></p> <p></p> <p>16. Historic American Buildings Survey <span class="hlt">San</span> Francisco Chronicle Library About: 1934 Re-photo: June 1940 VIEW FROM WEST - Mission <span class="hlt">San</span> Jose de Guadalupe, Mission & Washington Boulevards, Fremont, Alameda County, CA</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.usgs.gov/of/2001/0367/pdf/of2001-0367.pdf','USGSPUBS'); return false;" href="https://pubs.usgs.gov/of/2001/0367/pdf/of2001-0367.pdf"><span>Volcano-hazard zonation for <span class="hlt">San</span> Vicente volcano, El Salvador</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Major, J.J.; Schilling, S.P.; Pullinger, C.R.; Escobar, C.D.; Howell, M.M.</p> <p>2001-01-01</p> <p><span class="hlt">San</span> Vicente volcano, also known as Chichontepec, is one of many volcanoes along the volcanic arc in El Salvador. This composite volcano, located about 50 kilometers east of the capital city <span class="hlt">San</span> Salvador, has a volume of about 130 cubic kilometers, rises to an altitude of about 2180 meters, and towers above major communities such as <span class="hlt">San</span> Vicente, Tepetitan, Guadalupe, Zacatecoluca, and Tecoluca. In addition to the larger communities that surround the volcano, several smaller communities and coffee plantations are located on or around the flanks of the volcano, and major transportation routes are located near the lowermost southern and eastern flanks of the volcano. The population density and proximity around <span class="hlt">San</span> Vicente volcano, as well as the proximity of major transportation routes, increase the risk that even small landslides or eruptions, likely to occur again, can have serious societal consequences. The eruptive history of <span class="hlt">San</span> Vicente volcano is not well known, and there is no definitive record of historical eruptive activity. The last significant eruption occurred more than 1700 years ago, and perhaps long before permanent human habitation of the area. Nevertheless, this volcano has a very long history of repeated, and sometimes violent, eruptions, and at least once a large section of the volcano collapsed in a massive landslide. The oldest rocks associated with a volcanic center at <span class="hlt">San</span> Vicente are more than 2 million years old. The volcano is composed of remnants of multiple eruptive centers that have migrated roughly eastward with time. Future eruptions of this volcano will pose substantial risk to surrounding communities.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.usgs.gov/wri/1980/0064/report.pdf','USGSPUBS'); return false;" href="https://pubs.usgs.gov/wri/1980/0064/report.pdf"><span>Sediment transport of streams tributary to <span class="hlt">San</span> Francisco, <span class="hlt">San</span> Pablo, and Suisun Bays, California, 1909-66</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Porterfield, George</p> <p>1980-01-01</p> <p>A review of historical sedimentation data is presented, results of sediment-data collection for water years 1957-59 are summarized, and long-term sediment-discharge estimates from a preliminary report are updated. Comparison of results based on 3 years of data to those for the 10 water years, 1957-66, provides an indication of the adequacy of the data obtained during the short period to define the long-term relation between sediment transport and streamflow. During 1909-66, sediment was transported to the entire <span class="hlt">San</span> Francisco Bay system at an average rate of 8.6 million cubic yards per year. The Sacramento and <span class="hlt">San</span> Joaquin River basins provided about 83% of the sediment inflow to the system annually during 1957-66 and 86% during 1909-66. About 98% of this inflow was measured or estimated at sediment measuring sites. Measured sediment inflow directly to the bays comprised only about 40% of the total discharged by basins directly tributary to the bays. About 90% of the total sediment discharge to the delta and the bays in the <span class="hlt">San</span> Francisco Bay system thus was determined on the basis of systematic measurements. (USGS)</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.usgs.gov/fs/2013/3080/pdf/fs2013-3080.pdf','USGSPUBS'); return false;" href="https://pubs.usgs.gov/fs/2013/3080/pdf/fs2013-3080.pdf"><span>Origin and characteristics of discharge at <span class="hlt">San</span> Marcos Springs, south-central Texas</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Musgrove, MaryLynn; Crow, Cassi L.</p> <p>2013-01-01</p> <p>The Edwards aquifer in south-central Texas is one of the most productive aquifers in the Nation and is the primary source of water for the rapidly growing <span class="hlt">San</span> Antonio area. Springs issuing from the Edwards aquifer provide habitat for several threatened and endangered species, serve as locations for recreational activities, and supply downstream users. Comal Springs and <span class="hlt">San</span> Marcos Springs are major discharge points for the Edwards aquifer, and their discharges are used as thresholds in groundwater management strategies. Regional flow paths originating in the western part of the aquifer are generally understood to supply discharge at Comal Springs. In contrast, the hydrologic connection of <span class="hlt">San</span> Marcos Springs with the regional Edwards aquifer flow system is less understood. During November 2008–December 2010, the U.S. Geological Survey, in cooperation with the <span class="hlt">San</span> Antonio Water System, collected and analyzed hydrologic and geochemical data from springs, groundwater wells, and streams to gain a better understanding of the origin and characteristics of discharge at <span class="hlt">San</span> Marcos Springs. During the study, climatic and hydrologic conditions transitioned from exceptional drought to wetter than normal. The wide range of hydrologic conditions that occurred during this study—and corresponding changes in surface-water, groundwater and spring discharge, and in physicochemical properties and geochemistry—provides insight into the origin of the water discharging from <span class="hlt">San</span> Marcos Springs. Three orifices at <span class="hlt">San</span> Marcos Springs (Deep, Diversion, and Weissmuller Springs) were selected to be representative of larger springs at the spring complex. Key findings include that discharge at <span class="hlt">San</span> Marcos Springs was dominated by regional recharge sources and groundwater flow paths and that different orifices of <span class="hlt">San</span> Marcos Springs respond differently to changes in hydrologic conditions; Deep Spring was less responsive to changes in hydrologic conditions than were Diversion Spring and</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://eric.ed.gov/?q=descriptive+AND+survey+AND+quantitative&id=ED582478','ERIC'); return false;" href="https://eric.ed.gov/?q=descriptive+AND+survey+AND+quantitative&id=ED582478"><span>Surveillance versus Privacy: Considerations for the <span class="hlt">San</span> Bernardino Community</span></a></p> <p><a target="_blank" href="http://www.eric.ed.gov/ERICWebPortal/search/extended.jsp?_pageLabel=advanced">ERIC Educational Resources Information Center</a></p> <p>Price, Robert</p> <p>2017-01-01</p> <p>This privacy versus security doctoral research examines existing literature, policies, and perceptions to identify the effects of the 2015 <span class="hlt">San</span> Bernardino terrorist attack on the <span class="hlt">San</span> Bernardino community. This study contributes to identifying factors that influence perceptions of governmental surveillance. Multiple articles contribute to the…</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.er.usgs.gov/publication/70187040','USGSPUBS'); return false;" href="https://pubs.er.usgs.gov/publication/70187040"><span><span class="hlt">San</span> Andreas tremor cascades define deep fault zone complexity</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Shelly, David R.</p> <p>2015-01-01</p> <p>Weak seismic vibrations - tectonic tremor - can be used to delineate some plate boundary faults. Tremor on the deep <span class="hlt">San</span> Andreas Fault, located at the boundary between the Pacific and North American plates, is thought to be a passive indicator of slow fault slip. <span class="hlt">San</span> Andreas Fault tremor migrates at up to 30 m s-1, but the processes regulating tremor migration are unclear. Here I use a 12-year catalogue of more than 850,000 low-frequency earthquakes to systematically analyse the high-speed migration of tremor along the <span class="hlt">San</span> Andreas Fault. I find that tremor migrates most effectively through regions of greatest tremor production and does not propagate through regions with gaps in tremor production. I interpret the rapid tremor migration as a self-regulating cascade of seismic ruptures along the fault, which implies that tremor may be an active, rather than passive participant in the slip propagation. I also identify an isolated group of tremor sources that are offset eastwards beneath the <span class="hlt">San</span> Andreas Fault, possibly indicative of the interface between the Monterey Microplate, a hypothesized remnant of the subducted Farallon Plate, and the North American Plate. These observations illustrate a possible link between the central <span class="hlt">San</span> Andreas Fault and tremor-producing subduction zones.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/26252980','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/26252980"><span>Effect of legal status of pharmacy syringe sales on syringe purchases by persons who inject drugs in <span class="hlt">San</span> Francisco and <span class="hlt">San</span> Diego, CA.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Siddiqui, Saira S; Armenta, Richard F; Evans, Jennifer L; Yu, Michelle; Cuevas-Mota, Jazmine; Page, Kimberly; Davidson, Peter; Garfein, Richard S</p> <p>2015-11-01</p> <p>Sharing blood-contaminated syringes is the main risk factor for acquiring and transmitting blood-borne infections among persons who inject drugs (PWID). To reduce this risk, in 2005, California enacted legislation allowing local health jurisdictions to legalize non-prescription syringe sales after approving a disease prevention demonstration project (DPDP). With <span class="hlt">San</span> Francisco approving a DPDP immediately and <span class="hlt">San</span> Diego never approving one, we compared PWID across cities for their use of pharmacies PWID to obtain syringes. PWID age 18-30 years old were recruited into separate studies in <span class="hlt">San</span> Francisco (n=243) and <span class="hlt">San</span> Diego (n=338) between 2008 and 2011. We used multivariable logistic regression to compare the proportions of PWID who obtained syringes from pharmacies by city while controlling for sociodemographics, injection practices and other risk behaviors. Overall, most PWID were White (71%), male (63%), and between the ages of 18-25 years (55%). Compared to <span class="hlt">San</span> Francisco, a smaller proportion of PWID in <span class="hlt">San</span> Diego had bought syringes from pharmacies in the prior three months (16.9% vs. 49.8%; p<0.001), which remained statistically significant after adjusting for sociodemographic and behavioral factors (adjusted odds ratio=4.45, 95% confidence interval: 2.98, 6.65). Use of pharmacies to obtain syringes was greater where it was legal to do so. Public health policy can influence HIV and hepatitis C associated risk among PWID; however, implementation of these policies is crucial for the benefits to be realized. Copyright © 2015 Elsevier B.V. All rights reserved.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://eric.ed.gov/?q=Road+AND+safety+AND+education&pg=5&id=EJ751176','ERIC'); return false;" href="https://eric.ed.gov/?q=Road+AND+safety+AND+education&pg=5&id=EJ751176"><span>1906 Letter to the <span class="hlt">San</span> Francisco Health Department</span></a></p> <p><a target="_blank" href="http://www.eric.ed.gov/ERICWebPortal/search/extended.jsp?_pageLabel=advanced">ERIC Educational Resources Information Center</a></p> <p>Schmachtenberg, Kristin</p> <p>2006-01-01</p> <p>On Wednesday, April 18, 1906, an earthquake, measuring 7.8 on the Richter magnitude scale and lasting 48 seconds, erupted along the <span class="hlt">San</span> Andreas fault with a flash point originating in the <span class="hlt">San</span> Francisco Bay area. The force of the earthquake tore apart buildings and roads, causing water and gas mains to twist and break. The resulting effects of the…</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.usgs.gov/sir/2017/5155/sir20175155.pdf','USGSPUBS'); return false;" href="https://pubs.usgs.gov/sir/2017/5155/sir20175155.pdf"><span>Hydrologic assessment and numerical simulation of groundwater flow, <span class="hlt">San</span> Juan Mine, <span class="hlt">San</span> Juan County, New Mexico, 2010–13</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Stewart, Anne M.</p> <p>2018-04-03</p> <p>Coal combustion byproducts (CCBs), which are composed of fly ash, bottom ash, and flue gas desulfurization material, produced at the coal-fired <span class="hlt">San</span> Juan Generating Station (SJGS), located in <span class="hlt">San</span> Juan County, New Mexico, have been buried in former surface-mine pits at the <span class="hlt">San</span> Juan Mine, also referred to as the <span class="hlt">San</span> Juan Coal Mine, since operations began in the early 1970s. This report, prepared by the U.S. Geological Survey in cooperation with the Mining and Minerals Division of the New Mexico Energy, Minerals and Natural Resources Department, describes results of a hydrogeologic assessment, including numerical groundwater modeling, to identify the timing of groundwater recovery and potential pathways for groundwater transport of metals that may be leached from stored CCBs and reach hydrologic receptors after operations cease. Data collected for the hydrologic assessment indicate that groundwater in at least one centrally located reclaimed surface-mining pit has already begun to recover.The U.S. Geological Survey numerical modeling package MODFLOW–NWT was used with MODPATH particle-tracking software to identify advective flow paths from CCB storage areas toward potential hydrologic receptors. Results indicate that groundwater at CCB storage areas will recover to the former steady state, or in some locations, groundwater may recover to a new steady state in 6,600 to 10,600 years at variable rates depending on the proximity to a residual cone-of-groundwater depression caused by mine dewatering and regional oil and gas pumping as well as on actual, rather than estimated, groundwater recharge and evapotranspirational losses. Advective particle-track modeling indicates that the number of particles and rates of advective transport will vary depending on hydraulic properties of the mine spoil, particularly hydraulic conductivity and porosity. Modeling results from the most conservative scenario indicate that particles can migrate from CCB repositories to either the</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://cfpub.epa.gov/si/si_public_record_report.cfm?dirEntryId=66385&Lab=NERL&keyword=ars&actType=&TIMSType=+&TIMSSubTypeID=&DEID=&epaNumber=&ntisID=&archiveStatus=Both&ombCat=Any&dateBeginCreated=&dateEndCreated=&dateBeginPublishedPresented=&dateEndPublishedPresented=&dateBeginUpdated=&dateEndUpdated=&dateBeginCompleted=&dateEndCompleted=&personID=&role=Any&journalID=&publisherID=&sortBy=revisionDate&count=50','EPA-EIMS'); return false;" href="https://cfpub.epa.gov/si/si_public_record_report.cfm?dirEntryId=66385&Lab=NERL&keyword=ars&actType=&TIMSType=+&TIMSSubTypeID=&DEID=&epaNumber=&ntisID=&archiveStatus=Both&ombCat=Any&dateBeginCreated=&dateEndCreated=&dateBeginPublishedPresented=&dateEndPublishedPresented=&dateBeginUpdated=&dateEndUpdated=&dateBeginCompleted=&dateEndCompleted=&personID=&role=Any&journalID=&publisherID=&sortBy=revisionDate&count=50"><span><span class="hlt">SAN</span> PEDRO WATERSHED DATABASE</span></a></p> <p><a target="_blank" href="http://oaspub.epa.gov/eims/query.page">EPA Science Inventory</a></p> <p></p> <p></p> <p>The <span class="hlt">San</span> Pedro River Geo-Data Browser was jointly developed by the Landscape Ecology Branch of the U.S. Environmental Protection Agency and the U.S. Department of Agriculture, Agricultural Research Service (Tucson, AZ). Since 1995, U.S. Environmental Protection Agency (EP A) and U...</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://cfpub.epa.gov/si/si_public_record_report.cfm?dirEntryId=63241&keyword=implementation+AND+integrated+AND+water+AND+resource+AND+management&actType=&TIMSType=+&TIMSSubTypeID=&DEID=&epaNumber=&ntisID=&archiveStatus=Both&ombCat=Any&dateBeginCreated=&dateEndCreated=&dateBeginPublishedPresented=&dateEndPublishedPresented=&dateBeginUpdated=&dateEndUpdated=&dateBeginCompleted=&dateEndCompleted=&personID=&role=Any&journalID=&publisherID=&sortBy=revisionDate&count=50','EPA-EIMS'); return false;" href="https://cfpub.epa.gov/si/si_public_record_report.cfm?dirEntryId=63241&keyword=implementation+AND+integrated+AND+water+AND+resource+AND+management&actType=&TIMSType=+&TIMSSubTypeID=&DEID=&epaNumber=&ntisID=&archiveStatus=Both&ombCat=Any&dateBeginCreated=&dateEndCreated=&dateBeginPublishedPresented=&dateEndPublishedPresented=&dateBeginUpdated=&dateEndUpdated=&dateBeginCompleted=&dateEndCompleted=&personID=&role=Any&journalID=&publisherID=&sortBy=revisionDate&count=50"><span><span class="hlt">SAN</span> PEDRO GEODATA BROWSER</span></a></p> <p><a target="_blank" href="http://oaspub.epa.gov/eims/query.page">EPA Science Inventory</a></p> <p></p> <p></p> <p>The <span class="hlt">San</span> Pedro Data Browser was developed by the Landscape Ecology Branch of the U.S. Environmental Protection Agency (Las Vegas, NV). The goal of the Landscape Sciences Program is to improve decision-making relative to natural and human resource management through the development...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/20976414','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/20976414"><span>Carbamylated monomeric allergoids as a therapeutic option for sublingual immunotherapy of dust mite- and grass pollen-induced allergic rhinoconjunctivitis: a systematic review of published trials with a meta-analysis of treatment using <span class="hlt">Lais</span>® tablets.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Mösges, R; Ritter, B; Kayoko, G; Allekotte, S</p> <p>2010-10-01</p> <p><span class="hlt">Lais</span>® allergoid tablets contain allergens that are modified by carbamylation. Due to their modified chemical structure, they are suitable for sublingual immunotherapy (SLIT) (13, 16, 17, 24). Based on their small molecule size of 12 to 40 kDa, they can be easily absorbed via the oral mucosa (1). In this review, we studied the efficacy of SLIT with carbamylated monomeric allergoid tablets in the treatment of grass pollen- and dust mite-induced allergic rhinoconjunctivitis on the basis of symptom and medication score improvements. Following a selective internet and databank search, six trials-some placebo-controlled-regarding the treatment of grass pollen- (n = 266) and dust mite-induced (n = 241) allergic rhinoconjunctivitis were used to draw conclusions regarding the clinical efficacy of allergoid tablets. The primary endpoints in these trials were decreases in the need for allergy medications and/or reductions in the occurrence of rhinoconjunctivitis symptoms. Data was recorded from patient diaries regarding their symptoms and medications used and conclusions were then drawn about the effectiveness and tolerabieity of <span class="hlt">Lais</span>® tablets. The average improvement in symptom score in three trials of grass pollen allergy treatment was 34% in comparison to the placebo group. The treatment of dust mite-induced rhinoconjunctivitis produced an average symptom score improvement of 22% compared to the placebo or control groups. The intake of symptomatic rescue medication during allergoid tablet therapy declined. Treatment of grass pollen allergies and dust mite-induced rhinoconjunctivitis showed an average medication score improvement of 49% and 24%, respectively. Few side effects were documented in the trials and predominantly local effects were observed. Severe systemic side effects did not occur. On the basis of the trial results summarized in this review, we suggest that SLIT using <span class="hlt">Lais</span>® sublingual tablets is an effective and well-tolerated form of treatment.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.usgs.gov/wri/wri024078+','USGSPUBS'); return false;" href="https://pubs.usgs.gov/wri/wri024078+"><span>Streamflow gains and losses along <span class="hlt">San</span> Francisquito Creek and characterization of surface-water and ground-water quality, southern <span class="hlt">San</span> Mateo and northern Santa Clara counties, California, 1996-97</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Metzger, Loren F.</p> <p>2002-01-01</p> <p><span class="hlt">San</span> Francisquito Creek is an important source of recharge to the 22-square-mile <span class="hlt">San</span> Francisquito Creek alluvial fan ground-water subbasin in the southern <span class="hlt">San</span> Mateo and northern Santa Clara Counties of California. Ground water supplies as much as 20 percent of the water to some area communities. Local residents are concerned that infiltration and consequently ground-water recharge would be reduced if additional flood-control measures are implemented along <span class="hlt">San</span> Francisquito Creek. To improve the understanding of the surface-water/ground-water interaction between <span class="hlt">San</span> Francisquito Creek and the <span class="hlt">San</span> Francisquito Creek alluvial fan, the U.S. Geological Survey (USGS) estimated streamflow gains and losses along <span class="hlt">San</span> Francisquito Creek and determined the chemical quality and isotopic composition of surface and ground water in the study area.Streamflow was measured at 13 temporary streamflow-measurement stations to determine streamflow gains and losses along a 8.4-mile section of <span class="hlt">San</span> Francisquito Creek. A series of five seepage runs between April 1996 and May 1997 indicate that losses in <span class="hlt">San</span> Francisquito Creek were negligible until it crossed the Pulgas Fault at Sand Hill Road. Streamflow losses increased between Sand Hill Road and Middlefield Road where the alluvial deposits are predominantly coarse-grained and the water table is below the bottom of the channel. The greatest streamflow losses were measured along a 1.8-mile section of the creek between the <span class="hlt">San</span> Mateo Drive bike bridge and Middlefield Road; average losses between <span class="hlt">San</span> Mateo Drive and Alma Street and from there to Middlefield Road were 3.1 and 2.5 acre-feet per day, respectively.Downstream from Middlefield Road, streamflow gains and losses owing to seepage may be masked by urban runoff, changes in bank storage, and tidal effects from <span class="hlt">San</span> Francisco Bay. Streamflow gains measured between Middlefield Road and the 1200 block of Woodland Avenue may be attributable to urban runoff and (or) ground-water inflow. Water</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://cfpub.epa.gov/si/si_public_record_report.cfm?dirEntryId=55540&Lab=OWOW&keyword=land+AND+indigenous&actType=&TIMSType=+&TIMSSubTypeID=&DEID=&epaNumber=&ntisID=&archiveStatus=Both&ombCat=Any&dateBeginCreated=&dateEndCreated=&dateBeginPublishedPresented=&dateEndPublishedPresented=&dateBeginUpdated=&dateEndUpdated=&dateBeginCompleted=&dateEndCompleted=&personID=&role=Any&journalID=&publisherID=&sortBy=revisionDate&count=50','EPA-EIMS'); return false;" href="https://cfpub.epa.gov/si/si_public_record_report.cfm?dirEntryId=55540&Lab=OWOW&keyword=land+AND+indigenous&actType=&TIMSType=+&TIMSSubTypeID=&DEID=&epaNumber=&ntisID=&archiveStatus=Both&ombCat=Any&dateBeginCreated=&dateEndCreated=&dateBeginPublishedPresented=&dateEndPublishedPresented=&dateBeginUpdated=&dateEndUpdated=&dateBeginCompleted=&dateEndCompleted=&personID=&role=Any&journalID=&publisherID=&sortBy=revisionDate&count=50"><span><span class="hlt">SAN</span> FRANCISCO ESTUARY PROJECT COMPREHENSIVE CONSERVATION AND MANAGEMENT PLAN</span></a></p> <p><a target="_blank" href="http://oaspub.epa.gov/eims/query.page">EPA Science Inventory</a></p> <p></p> <p></p> <p>The Estuary, a significant natural resource, <span class="hlt">San</span> Francisco Bay and the Delta combine to form the West Coast's largest estuary. The Estuary conveys the waters of the Sacramento and <span class="hlt">San</span> Joaquin Rivers to the Pacific Ocean. It encompasses roughly 1,600 square miles, drains over 40 p...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.loc.gov/pictures/collection/hh/item/ca1118.photos.010712p/','SCIGOV-HHH'); return false;" href="https://www.loc.gov/pictures/collection/hh/item/ca1118.photos.010712p/"><span>18. Photocopy of photograph (from De Young Museum, <span class="hlt">San</span> Francisco, ...</span></a></p> <p><a target="_blank" href="http://www.loc.gov/pictures/collection/hh/">Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey</a></p> <p></p> <p></p> <p>18. Photocopy of photograph (from De Young Museum, <span class="hlt">San</span> Francisco, California, 1895) EXTERIOR, SOUTH FRONT OF MISSION AND CONVENTO, 1895 - Mission <span class="hlt">San</span> Francisco Solano de Sonoma, First & Spain Streets, Sonoma, Sonoma County, CA</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.er.usgs.gov/publication/70174001','USGSPUBS'); return false;" href="https://pubs.er.usgs.gov/publication/70174001"><span>Selenium and other elements in juvenile striped bass from the <span class="hlt">San</span> Joaquin Valley and <span class="hlt">San</span> Francisco Estuary, California</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Saiki, Michael K.; Palawski, Donald U.</p> <p>1990-01-01</p> <p>Concentrations of selenium and other trace elements were determined in 55 whole body samples of juvenile anadromous striped bass (Morone saxatilis) from the <span class="hlt">San</span> Joaquin Valley and <span class="hlt">San</span> Francisco Estuary, California. The fish (≤1 yr old—the predominant life stage in the <span class="hlt">San</span> Joaquin Valley) were collected in September–December 1986 from 19 sites in the Valley and 3 sites in the Estuary, and analyzed for the following elements: aluminum (Al), arsenic (As), boron (B), barium (Ba), beryllium (Be), cadmium (Cd), chromium (Cr), copper (Cu), iron (Fe), mercury (Hg), magnesium (Mg), molybdenum (Mo), nickel (Ni), lead (Pb), selenium (Se), strontium (Sr), vanadium (V), and zinc (Zn). When compared to concentrations in whole freshwater fish measured by surveys from other waters, a few samples contained higher levels, of As, Cd, Cu, Pb, and Se. The median concentrations of Al, As, Cu, Fe, Mg, Se, and Sr also differed significantly (P⩽0.05) among sites. However, only Se concentrations were highest (up to 7.9 μg/g dry weight) in samples from Valley sites exposed to agricultural subsurface (tile) drainwater; concentrations were lower in samples collected elsewhere. Water quality variables—especially those strongly influenced by tile drainwater (conductivity, total dissolved solids, total alkalinity, and total hardness)—were also significantly correlated (P⩽0.05) with Se concentrations in fish. Selenium concentrations in striped bass from the Estuary were only one-fourth to one-half the concentrations measured in the most contaminated fish from the <span class="hlt">San</span> Joaquin River.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.loc.gov/pictures/collection/hh/item/ca1118.photos.010707p/','SCIGOV-HHH'); return false;" href="https://www.loc.gov/pictures/collection/hh/item/ca1118.photos.010707p/"><span>13. Photocopy of photograph (from Golden Gate Museum, <span class="hlt">San</span> Francisco, ...</span></a></p> <p><a target="_blank" href="http://www.loc.gov/pictures/collection/hh/">Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey</a></p> <p></p> <p></p> <p>13. Photocopy of photograph (from Golden Gate Museum, <span class="hlt">San</span> Francisco, California, 1850's) EXTERIOR, VIEW OF CONVENTO BEFORE RESTORATION, 1850'S - Mission <span class="hlt">San</span> Francisco Solano de Sonoma, First & Spain Streets, Sonoma, Sonoma County, CA</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.loc.gov/pictures/collection/hh/item/ca1118.photos.010724p/','SCIGOV-HHH'); return false;" href="https://www.loc.gov/pictures/collection/hh/item/ca1118.photos.010724p/"><span>30. Photocopy of photograph (from National Park Service, <span class="hlt">San</span> Francisco, ...</span></a></p> <p><a target="_blank" href="http://www.loc.gov/pictures/collection/hh/">Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey</a></p> <p></p> <p></p> <p>30. Photocopy of photograph (from National Park Service, <span class="hlt">San</span> Francisco, California, 1930 (?) EXTERIOR, EAST SIDE OF MISSIONA AFTER RESTORATION, C. 1930 (?) - Mission <span class="hlt">San</span> Francisco Solano de Sonoma, First & Spain Streets, Sonoma, Sonoma County, CA</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19730021606','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19730021606"><span>A simulation of the <span class="hlt">San</span> Andreas fault experiment</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Agreen, R. W.; Smith, D. E.</p> <p>1973-01-01</p> <p>The <span class="hlt">San</span> Andreas Fault Experiment, which employs two laser tracking systems for measuring the relative motion of two points on opposite sides of the fault, was simulated for an eight year observation period. The two tracking stations are located near <span class="hlt">San</span> Diego on the western side of the fault and near Quincy on the eastern side; they are roughly 900 kilometers apart. Both will simultaneously track laser reflector equipped satellites as they pass near the stations. Tracking of the Beacon Explorer C Spacecraft was simulated for these two stations during August and September for eight consecutive years. An error analysis of the recovery of the relative location of Quincy from the data was made, allowing for model errors in the mass of the earth, the gravity field, solar radiation pressure, atmospheric drag, errors in the position of the <span class="hlt">San</span> Diego site, and laser systems range biases and noise. The results of this simulation indicate that the distance of Quincy from <span class="hlt">San</span> Diego will be determined each year with a precision of about 10 centimeters. This figure is based on the accuracy of earth models and other parameters available in 1972.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=3726175','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=3726175"><span>Somitic disruption of GNAS in chick embryos mimics progressive osseous heteroplasia</span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Cairns, Dana M.; Pignolo, Robert J.; Uchimura, Tomoya; Brennan, Tracy A.; Lindborg, Carter M.; Xu, Meiqi; Kaplan, Frederick S.; Shore, Eileen M.; Zeng, Li</p> <p>2013-01-01</p> <p>Progressive osseous heteroplasia (<span class="hlt">POH</span>) is a rare developmental disorder of heterotopic ossification (HO) caused by heterozygous inactivating germline mutations in the paternal allele of the GNAS gene. Interestingly, <span class="hlt">POH</span> lesions have a bewildering mosaic distribution. Using clinical, radiographic, and photographic documentation, we found that most of the 12 individuals studied had a lesional bias toward one side or the other, even showing exclusive sidedness. Most strikingly, all had a dermomyotomal distribution of HO lesions. We hypothesized that somatic mutations in a progenitor cell of somitic origin may act on a background of germline haploinsufficiency to cause loss of heterozygosity at the GNAS locus and lead to the unilateral distribution of <span class="hlt">POH</span> lesions. Taking advantage of the chick system, we examined our hypothesis by mimicking loss of heterozygosity of GNAS expression using dominant-negative GNAS that was introduced into a subset of chick somites, the progenitors that give rise to dermis and muscle. We observed rapid ectopic cartilage and bone induction at the axial and lateral positions in a unilateral distribution corresponding to the injected somites, which suggests that blocking GNAS activity in a targeted population of progenitor cells can lead to mosaic ectopic ossification reminiscent of that seen in <span class="hlt">POH</span>. PMID:23863715</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.loc.gov/pictures/collection/hh/item/ca1118.photos.010713p/','SCIGOV-HHH'); return false;" href="https://www.loc.gov/pictures/collection/hh/item/ca1118.photos.010713p/"><span>19. Photocopy of photograph (from De Young Museum, <span class="hlt">San</span> Francisco, ...</span></a></p> <p><a target="_blank" href="http://www.loc.gov/pictures/collection/hh/">Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey</a></p> <p></p> <p></p> <p>19. Photocopy of photograph (from De Young Museum, <span class="hlt">San</span> Francisco, California, late 1890's) EXTERIOR, GENERAL VIEW OF MISSION, LATE 1890'S - Mission <span class="hlt">San</span> Francisco Solano de Sonoma, First & Spain Streets, Sonoma, Sonoma County, CA</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.loc.gov/pictures/collection/hh/item/ca0362.photos.013587p/','SCIGOV-HHH'); return false;" href="https://www.loc.gov/pictures/collection/hh/item/ca0362.photos.013587p/"><span>9. Historic American Buildings Survey Golden Gate Park Museum <span class="hlt">San</span> ...</span></a></p> <p><a target="_blank" href="http://www.loc.gov/pictures/collection/hh/">Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey</a></p> <p></p> <p></p> <p>9. Historic American Buildings Survey Golden Gate Park Museum <span class="hlt">San</span> Francisco, California Original: 1870's Re-photo: February 1940 VIEW FROM SOUTH - Mission <span class="hlt">San</span> Antonio de Padua, Hunter Liggett Military Reservation, Jolon, Monterey County, CA</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.loc.gov/pictures/collection/hh/item/ca1118.photos.010721p/','SCIGOV-HHH'); return false;" href="https://www.loc.gov/pictures/collection/hh/item/ca1118.photos.010721p/"><span>27. Photocopy of photograph (from National Park Service, <span class="hlt">San</span> Francisco, ...</span></a></p> <p><a target="_blank" href="http://www.loc.gov/pictures/collection/hh/">Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey</a></p> <p></p> <p></p> <p>27. Photocopy of photograph (from National Park Service, <span class="hlt">San</span> Francisco, California, Date unknown) EXTERIOR, SOUTH FRONT, DETAIL OF ENTRANCE AFTER RESTORATION, C. 1930 (?) - Mission <span class="hlt">San</span> Francisco Solano de Sonoma, First & Spain Streets, Sonoma, Sonoma County, CA</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.loc.gov/pictures/collection/hh/item/ca1118.photos.010699p/','SCIGOV-HHH'); return false;" href="https://www.loc.gov/pictures/collection/hh/item/ca1118.photos.010699p/"><span>5. Photocopy of painting (from De Young Museum, <span class="hlt">San</span> Francisco, ...</span></a></p> <p><a target="_blank" href="http://www.loc.gov/pictures/collection/hh/">Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey</a></p> <p></p> <p></p> <p>5. Photocopy of painting (from De Young Museum, <span class="hlt">San</span> Francisco, California, Oriana Day, artist, c. 1861-1885) EXTERIOR VIEW OF MISSION BEFORE 1835 - Mission <span class="hlt">San</span> Francisco Solano de Sonoma, First & Spain Streets, Sonoma, Sonoma County, CA</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.loc.gov/pictures/collection/hh/item/wa0222.photos.369694p/','SCIGOV-HHH'); return false;" href="https://www.loc.gov/pictures/collection/hh/item/wa0222.photos.369694p/"><span>29. BETHLEHEM SHIPBUILDING CORP, LTD. UNION PLANT, <span class="hlt">SAN</span> FRANCISCO, CA. ...</span></a></p> <p><a target="_blank" href="http://www.loc.gov/pictures/collection/hh/">Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey</a></p> <p></p> <p></p> <p>29. BETHLEHEM SHIPBUILDING CORP, LTD. UNION PLANT, <span class="hlt">SAN</span> FRANCISCO, CA. INBOARD PROFILE, SHEET NUMBER H-5314-11-10. Drawn by A.E. Wilson, undated. - <span class="hlt">San</span> Mateo Ferry, South end of Lake Union, Seattle, King County, WA</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.loc.gov/pictures/collection/hh/item/wa0222.photos.369695p/','SCIGOV-HHH'); return false;" href="https://www.loc.gov/pictures/collection/hh/item/wa0222.photos.369695p/"><span>30. BETHLEHEM SHIPBUILDING CORP, LTD. UNION PLANT, <span class="hlt">SAN</span> FRANCISCO, CA. ...</span></a></p> <p><a target="_blank" href="http://www.loc.gov/pictures/collection/hh/">Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey</a></p> <p></p> <p></p> <p>30. BETHLEHEM SHIPBUILDING CORP, LTD. UNION PLANT, <span class="hlt">SAN</span> FRANCISCO, CA. MIDSHIP SECTION, SHEET NUMBER H-5314-11-2. Drawn by H.A. Lennon, undated. - <span class="hlt">San</span> Mateo Ferry, South end of Lake Union, Seattle, King County, WA</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/CFR-2011-title33-vol2/pdf/CFR-2011-title33-vol2-sec165-1110.pdf','CFR2011'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2011-title33-vol2/pdf/CFR-2011-title33-vol2-sec165-1110.pdf"><span>33 CFR 165.1110 - Security Zone: Coronado Bay Bridge, <span class="hlt">San</span> Diego, CA.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2011&page.go=Go">Code of Federal Regulations, 2011 CFR</a></p> <p></p> <p>2011-07-01</p> <p>... Bridge, <span class="hlt">San</span> Diego, CA. 165.1110 Section 165.1110 Navigation and Navigable Waters COAST GUARD, DEPARTMENT... § 165.1110 Security Zone: Coronado Bay Bridge, <span class="hlt">San</span> Diego, CA. (a) Location. All navigable waters of <span class="hlt">San</span>... pilings of the Coronado Bay Bridge. These security zones will not restrict the main navigational channel...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/CFR-2013-title25-vol1/pdf/CFR-2013-title25-vol1-sec162-503-id2258.pdf','CFR2013'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2013-title25-vol1/pdf/CFR-2013-title25-vol1-sec162-503-id2258.pdf"><span>25 CFR 162.503 - <span class="hlt">San</span> Xavier and Salt River Pima-Maricopa Reservations.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2013&page.go=Go">Code of Federal Regulations, 2013 CFR</a></p> <p></p> <p>2013-04-01</p> <p>... 25 Indians 1 2013-04-01 2013-04-01 false <span class="hlt">San</span> Xavier and Salt River Pima-Maricopa Reservations. 162... AND PERMITS Special Requirements for Certain Reservations § 162.503 <span class="hlt">San</span> Xavier and Salt River Pima... statutory authority for long-term leasing on the <span class="hlt">San</span> Xavier and Salt River Pima-Maricopa Reservations...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/CFR-2014-title25-vol1/pdf/CFR-2014-title25-vol1-sec162-603.pdf','CFR2014'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2014-title25-vol1/pdf/CFR-2014-title25-vol1-sec162-603.pdf"><span>25 CFR 162.603 - <span class="hlt">San</span> Xavier and Salt River Pima-Maricopa Reservations.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2014&page.go=Go">Code of Federal Regulations, 2014 CFR</a></p> <p></p> <p>2014-04-01</p> <p>... 25 Indians 1 2014-04-01 2014-04-01 false <span class="hlt">San</span> Xavier and Salt River Pima-Maricopa Reservations. 162... AND PERMITS Special Requirements for Certain Reservations § 162.603 <span class="hlt">San</span> Xavier and Salt River Pima... statutory authority for long-term leasing on the <span class="hlt">San</span> Xavier and Salt River Pima-Maricopa Reservations...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/CFR-2012-title25-vol1/pdf/CFR-2012-title25-vol1-sec162-503.pdf','CFR2012'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2012-title25-vol1/pdf/CFR-2012-title25-vol1-sec162-503.pdf"><span>25 CFR 162.503 - <span class="hlt">San</span> Xavier and Salt River Pima-Maricopa Reservations.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2012&page.go=Go">Code of Federal Regulations, 2012 CFR</a></p> <p></p> <p>2012-04-01</p> <p>... 25 Indians 1 2012-04-01 2011-04-01 true <span class="hlt">San</span> Xavier and Salt River Pima-Maricopa Reservations. 162... AND PERMITS Special Requirements for Certain Reservations § 162.503 <span class="hlt">San</span> Xavier and Salt River Pima... statutory authority for long-term leasing on the <span class="hlt">San</span> Xavier and Salt River Pima-Maricopa Reservations...</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('https://www.gpo.gov/fdsys/pkg/CFR-2011-title25-vol1/pdf/CFR-2011-title25-vol1-sec162-503.pdf','CFR2011'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2011-title25-vol1/pdf/CFR-2011-title25-vol1-sec162-503.pdf"><span>25 CFR 162.503 - <span class="hlt">San</span> Xavier and Salt River Pima-Maricopa Reservations.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2011&page.go=Go">Code of Federal Regulations, 2011 CFR</a></p> <p></p> <p>2011-04-01</p> <p>... 25 Indians 1 2011-04-01 2011-04-01 false <span class="hlt">San</span> Xavier and Salt River Pima-Maricopa Reservations. 162... AND PERMITS Special Requirements for Certain Reservations § 162.503 <span class="hlt">San</span> Xavier and Salt River Pima... statutory authority for long-term leasing on the <span class="hlt">San</span> Xavier and Salt River Pima-Maricopa Reservations...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/CFR-2014-title33-vol2/pdf/CFR-2014-title33-vol2-sec165-1120.pdf','CFR2014'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2014-title33-vol2/pdf/CFR-2014-title33-vol2-sec165-1120.pdf"><span>33 CFR 165.1120 - Security Zone; Naval Amphibious Base, <span class="hlt">San</span> Diego, CA.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2014&page.go=Go">Code of Federal Regulations, 2014 CFR</a></p> <p></p> <p>2014-07-01</p> <p>... Base, <span class="hlt">San</span> Diego, CA. 165.1120 Section 165.1120 Navigation and Navigable Waters COAST GUARD, DEPARTMENT... § 165.1120 Security Zone; Naval Amphibious Base, <span class="hlt">San</span> Diego, CA. (a) Location. The following area is a security zone: the waters of <span class="hlt">San</span> Diego Bay, enclosed by lines connecting the following points: Beginning at...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/CFR-2012-title33-vol2/pdf/CFR-2012-title33-vol2-sec165-1120.pdf','CFR2012'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2012-title33-vol2/pdf/CFR-2012-title33-vol2-sec165-1120.pdf"><span>33 CFR 165.1120 - Security Zone; Naval Amphibious Base, <span class="hlt">San</span> Diego, CA.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2012&page.go=Go">Code of Federal Regulations, 2012 CFR</a></p> <p></p> <p>2012-07-01</p> <p>... Base, <span class="hlt">San</span> Diego, CA. 165.1120 Section 165.1120 Navigation and Navigable Waters COAST GUARD, DEPARTMENT... § 165.1120 Security Zone; Naval Amphibious Base, <span class="hlt">San</span> Diego, CA. (a) Location. The following area is a security zone: the waters of <span class="hlt">San</span> Diego Bay, enclosed by lines connecting the following points: Beginning at...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/CFR-2013-title33-vol2/pdf/CFR-2013-title33-vol2-sec165-1120.pdf','CFR2013'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2013-title33-vol2/pdf/CFR-2013-title33-vol2-sec165-1120.pdf"><span>33 CFR 165.1120 - Security Zone; Naval Amphibious Base, <span class="hlt">San</span> Diego, CA.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2013&page.go=Go">Code of Federal Regulations, 2013 CFR</a></p> <p></p> <p>2013-07-01</p> <p>... Base, <span class="hlt">San</span> Diego, CA. 165.1120 Section 165.1120 Navigation and Navigable Waters COAST GUARD, DEPARTMENT... § 165.1120 Security Zone; Naval Amphibious Base, <span class="hlt">San</span> Diego, CA. (a) Location. The following area is a security zone: the waters of <span class="hlt">San</span> Diego Bay, enclosed by lines connecting the following points: Beginning at...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/CFR-2010-title33-vol2/pdf/CFR-2010-title33-vol2-sec165-1110.pdf','CFR'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2010-title33-vol2/pdf/CFR-2010-title33-vol2-sec165-1110.pdf"><span>33 CFR 165.1110 - Security Zone: Coronado Bay Bridge, <span class="hlt">San</span> Diego, CA.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2010&page.go=Go">Code of Federal Regulations, 2010 CFR</a></p> <p></p> <p>2010-07-01</p> <p>... Bridge, <span class="hlt">San</span> Diego, CA. 165.1110 Section 165.1110 Navigation and Navigable Waters COAST GUARD, DEPARTMENT... § 165.1110 Security Zone: Coronado Bay Bridge, <span class="hlt">San</span> Diego, CA. (a) Location. All navigable waters of <span class="hlt">San</span>... pilings of the Coronado Bay Bridge. These security zones will not restrict the main navigational channel...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.fs.usda.gov/treesearch/pubs/54025','TREESEARCH'); return false;" href="https://www.fs.usda.gov/treesearch/pubs/54025"><span>Steam, solarization, and tons of prevention: the <span class="hlt">San</span> Francisco Public Utilities Commission's fight to contain Phytophthoras in <span class="hlt">San</span> Francisco Bay area restoration sites</span></a></p> <p><a target="_blank" href="http://www.fs.usda.gov/treesearch/">Treesearch</a></p> <p>Greg Lyman; Jessica Appel; Mia Ingolia; Ellen Natesan; Joe Ortiz</p> <p>2017-01-01</p> <p>To compensate for unavoidable impacts associated with critical water infrastructure capital improvement projects, the <span class="hlt">San</span> Francisco Public Utilities Commission (SFPUC) restored over 2,050 acres of riparian, wetland, and upland habitat on watershed lands in Alameda, Santa Clara, and <span class="hlt">San</span> Mateo Counties. Despite strict bio-sanitation protocols, plant pathogens (...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://eric.ed.gov/?q=age+AND+grouping&pg=7&id=EJ607362','ERIC'); return false;" href="https://eric.ed.gov/?q=age+AND+grouping&pg=7&id=EJ607362"><span>An Intentional Laboratory: The <span class="hlt">San</span> Carlos Charter Learning Center.</span></a></p> <p><a target="_blank" href="http://www.eric.ed.gov/ERICWebPortal/search/extended.jsp?_pageLabel=advanced">ERIC Educational Resources Information Center</a></p> <p>Darwish, Elise</p> <p>2000-01-01</p> <p>Describes the <span class="hlt">San</span> Carlos Charter Learning Center, a K-8 school chartered by the <span class="hlt">San</span> Carlos, California, school district to be a research and development site. It has successfully shared practices in multi-age groupings, interdisciplinary instruction, parents as teachers, and staff evaluation. The article expands on the school's challenges and…</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/CFR-2013-title33-vol1/pdf/CFR-2013-title33-vol1-sec110-240.pdf','CFR2013'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2013-title33-vol1/pdf/CFR-2013-title33-vol1-sec110-240.pdf"><span>33 CFR 110.240 - <span class="hlt">San</span> Juan Harbor, P.R.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2013&page.go=Go">Code of Federal Regulations, 2013 CFR</a></p> <p></p> <p>2013-07-01</p> <p>... 33 Navigation and Navigable Waters 1 2013-07-01 2013-07-01 false <span class="hlt">San</span> Juan Harbor, P.R. 110.240 Section 110.240 Navigation and Navigable Waters COAST GUARD, DEPARTMENT OF HOMELAND SECURITY ANCHORAGES ANCHORAGE REGULATIONS Anchorage Grounds § 110.240 <span class="hlt">San</span> Juan Harbor, P.R. (a) The anchorage grounds—(1...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/CFR-2011-title33-vol1/pdf/CFR-2011-title33-vol1-sec110-240.pdf','CFR2011'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2011-title33-vol1/pdf/CFR-2011-title33-vol1-sec110-240.pdf"><span>33 CFR 110.240 - <span class="hlt">San</span> Juan Harbor, P.R.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2011&page.go=Go">Code of Federal Regulations, 2011 CFR</a></p> <p></p> <p>2011-07-01</p> <p>... 33 Navigation and Navigable Waters 1 2011-07-01 2011-07-01 false <span class="hlt">San</span> Juan Harbor, P.R. 110.240 Section 110.240 Navigation and Navigable Waters COAST GUARD, DEPARTMENT OF HOMELAND SECURITY ANCHORAGES ANCHORAGE REGULATIONS Anchorage Grounds § 110.240 <span class="hlt">San</span> Juan Harbor, P.R. (a) The anchorage grounds—(1...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/CFR-2012-title33-vol1/pdf/CFR-2012-title33-vol1-sec110-240.pdf','CFR2012'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2012-title33-vol1/pdf/CFR-2012-title33-vol1-sec110-240.pdf"><span>33 CFR 110.240 - <span class="hlt">San</span> Juan Harbor, P.R.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2012&page.go=Go">Code of Federal Regulations, 2012 CFR</a></p> <p></p> <p>2012-07-01</p> <p>... 33 Navigation and Navigable Waters 1 2012-07-01 2012-07-01 false <span class="hlt">San</span> Juan Harbor, P.R. 110.240 Section 110.240 Navigation and Navigable Waters COAST GUARD, DEPARTMENT OF HOMELAND SECURITY ANCHORAGES ANCHORAGE REGULATIONS Anchorage Grounds § 110.240 <span class="hlt">San</span> Juan Harbor, P.R. (a) The anchorage grounds—(1...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/CFR-2014-title33-vol1/pdf/CFR-2014-title33-vol1-sec110-240.pdf','CFR2014'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2014-title33-vol1/pdf/CFR-2014-title33-vol1-sec110-240.pdf"><span>33 CFR 110.240 - <span class="hlt">San</span> Juan Harbor, P.R.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2014&page.go=Go">Code of Federal Regulations, 2014 CFR</a></p> <p></p> <p>2014-07-01</p> <p>... 33 Navigation and Navigable Waters 1 2014-07-01 2014-07-01 false <span class="hlt">San</span> Juan Harbor, P.R. 110.240 Section 110.240 Navigation and Navigable Waters COAST GUARD, DEPARTMENT OF HOMELAND SECURITY ANCHORAGES ANCHORAGE REGULATIONS Anchorage Grounds § 110.240 <span class="hlt">San</span> Juan Harbor, P.R. (a) The anchorage grounds—(1...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/CFR-2010-title33-vol1/pdf/CFR-2010-title33-vol1-sec110-240.pdf','CFR'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2010-title33-vol1/pdf/CFR-2010-title33-vol1-sec110-240.pdf"><span>33 CFR 110.240 - <span class="hlt">San</span> Juan Harbor, P.R.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2010&page.go=Go">Code of Federal Regulations, 2010 CFR</a></p> <p></p> <p>2010-07-01</p> <p>... 33 Navigation and Navigable Waters 1 2010-07-01 2010-07-01 false <span class="hlt">San</span> Juan Harbor, P.R. 110.240 Section 110.240 Navigation and Navigable Waters COAST GUARD, DEPARTMENT OF HOMELAND SECURITY ANCHORAGES ANCHORAGE REGULATIONS Anchorage Grounds § 110.240 <span class="hlt">San</span> Juan Harbor, P.R. (a) The anchorage grounds—(1...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AGUFM.T51A2860H','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AGUFM.T51A2860H"><span>New High-Resolution 3D Imagery of Fault Deformation and Segmentation of the <span class="hlt">San</span> Onofre and <span class="hlt">San</span> Mateo Trends in the Inner California Borderlands</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Holmes, J. J.; Driscoll, N. W.; Kent, G. M.; Bormann, J. M.; Harding, A. J.</p> <p>2015-12-01</p> <p>The Inner California Borderlands (ICB) is situated off the coast of southern California and northern Baja. The structural and geomorphic characteristics of the area record a middle Oligocene transition from subduction to microplate capture along the California coast. Marine stratigraphic evidence shows large-scale extension and rotation overprinted by modern strike-slip deformation. Geodetic and geologic observations indicate that approximately 6-8 mm/yr of Pacific-North American relative plate motion is accommodated by offshore strike-slip faulting in the ICB. The farthest inshore fault system, the Newport-Inglewood Rose Canyon (NIRC) fault complex is a dextral strike-slip system that extends primarily offshore approximately 120 km from <span class="hlt">San</span> Diego to the <span class="hlt">San</span> Joaquin Hills near Newport Beach, California. Based on trenching and well data, the NIRC fault system Holocene slip rate is 1.5-2.0 mm/yr to the south and 0.5-1.0 mm/yr along its northern extent. An earthquake rupturing the entire length of the system could produce an Mw 7.0 earthquake or larger. West of the main segments of the NIRC fault complex are the <span class="hlt">San</span> Mateo and <span class="hlt">San</span> Onofre fault trends along the continental slope. Previous work concluded that these were part of a strike-slip system that eventually merged with the NIRC complex. Others have interpreted these trends as deformation associated with the Oceanside Blind Thrust fault purported to underlie most of the region. In late 2013, we acquired the first high-resolution 3D P-Cable seismic surveys (3.125 m bin resolution) of the <span class="hlt">San</span> Mateo and <span class="hlt">San</span> Onofre trends as part of the Southern California Regional Fault Mapping project aboard the R/V New Horizon. Analysis of these volumes provides important new insights and constraints on the fault segmentation and transfer of deformation. Based on the new 3D sparker seismic data, our preferred interpretation for the <span class="hlt">San</span> Mateo and <span class="hlt">San</span> Onofre fault trends is they are transpressional features associated with westward</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://www.water.ca.gov/iep/newsletters/2002/IEPNewsletterWinter2002.pdf','USGSPUBS'); return false;" href="http://www.water.ca.gov/iep/newsletters/2002/IEPNewsletterWinter2002.pdf"><span>Water level, specific conductance, and water temperature data, <span class="hlt">San</span> Francisco Bay, California, for Water Year 2000</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Buchanan, P.A.</p> <p>2002-01-01</p> <p>Time series of water-level, specific-conductance, and watertemperature data were collected at seven sites in <span class="hlt">San</span> Francisco Bay during water year 2000 (October 1, 1999 through September 30, 2000). Water-level data were recorded only at Point <span class="hlt">San</span> Pablo. Specific-conductance and water-temperature data were recorded at 15-minute intervals at the following locations (Figure 1): • Carquinez Strait at Carquinez Bridge • Napa River at Mare Island Causeway near Vallejo • <span class="hlt">San</span> Pablo Bay at Petaluma River Channel Marker 9 • <span class="hlt">San</span> Pablo Strait at Point <span class="hlt">San</span> Pablo • Central <span class="hlt">San</span> Francisco Bay at Presidio Military Reservation • Central <span class="hlt">San</span> Francisco Bay at Pier 24 • South <span class="hlt">San</span> Francisco Bay at <span class="hlt">San</span> Mateo Bridge near Foster City.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.loc.gov/pictures/collection/hh/item/ca0361.photos.013503p/','SCIGOV-HHH'); return false;" href="https://www.loc.gov/pictures/collection/hh/item/ca0361.photos.013503p/"><span>7. Historic American Buildings Survey From Golden Gate Park <span class="hlt">San</span> ...</span></a></p> <p><a target="_blank" href="http://www.loc.gov/pictures/collection/hh/">Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey</a></p> <p></p> <p></p> <p>7. Historic American Buildings Survey From Golden Gate Park <span class="hlt">San</span> Francisco, California Original: Ante 1860 Re-photo: February 1940 VIEW FROM SOUTH - Mission <span class="hlt">San</span> Carlos Borromeo, Rio Road & Lausen Drive, Carmel-by-the-Sea, Monterey County, CA</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.usgs.gov/pp/1501/report.pdf','USGSPUBS'); return false;" href="https://pubs.usgs.gov/pp/1501/report.pdf"><span>The Cenozoic evolution of the <span class="hlt">San</span> Joaquin Valley, California</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Bartow, J. Alan</p> <p>1991-01-01</p> <p>The <span class="hlt">San</span> Joaquin Valley, which is the southern part of the 700-km-long Great Valley of California, is an asymmetric structural trough that is filled with a prism of upper Mesozoic and Cenozoic sediments up to 9 km thick; these sediments rest on crystalline basement rocks of the southwestward-tilted Sierran block. The <span class="hlt">San</span> Joaquin sedimentary basin is separated from the Sacramento basin to the north by the buried Stockton arch and associated Stockton fault. The buried Bakersfield arch near the south end of the valley separates the small Maricopa-Tejon subbasin at the south end of the <span class="hlt">San</span> Joaquin basin from the remainder of the basin. Cenozoic strata in the <span class="hlt">San</span> Joaquin basin thicken southeastward from about 800 m in the north to over 9,000 m in the south. The <span class="hlt">San</span> Joaquin Valley can be subdivided into five regions on the basis of differing structural style. They are the northern Sierran block, the southern Sierran block, the northern Diablo homocline, the westside fold belt, and the combined Maricopa-Tejon subbasin and southmargin deformed belt. Considerable facies variation existed within the sedimentary basin, particularly in the Neogene when a thick section of marine sediment accumulated in the southern part of the basin, while a relatively thin and entirely nonmarine section was deposited in the northern part. The northern Sierran block, the stable east limb of the valley syncline between the Stockton fault and the <span class="hlt">San</span> Joaquin River, is the least deformed region of the valley. Deformation consists mostly of a southwest tilt and only minor late Cenozoic normal faulting. The southern Sierran block, the stable east limb of the valley syncline between the <span class="hlt">San</span> Joaquin River and the Bakersfield arch, is similar in style to the northern part of the block, but it has a higher degree of deformation. Miocene or older normal faults trend mostly north to northwest and have a net down-to-the-west displacement with individual offsets of as much as 600 m. The northern Diablo</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/CFR-2013-title33-vol2/pdf/CFR-2013-title33-vol2-sec165-1110.pdf','CFR2013'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2013-title33-vol2/pdf/CFR-2013-title33-vol2-sec165-1110.pdf"><span>33 CFR 165.1110 - Security Zone: Coronado Bay Bridge, <span class="hlt">San</span> Diego, CA.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2013&page.go=Go">Code of Federal Regulations, 2013 CFR</a></p> <p></p> <p>2013-07-01</p> <p>... Bridge, <span class="hlt">San</span> Diego, CA. 165.1110 Section 165.1110 Navigation and Navigable Waters COAST GUARD, DEPARTMENT... § 165.1110 Security Zone: Coronado Bay Bridge, <span class="hlt">San</span> Diego, CA. (a) Location. All navigable waters of <span class="hlt">San</span> Diego Bay, from the surface to the sea floor, within 25 yards of all piers, abutments, fenders and...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/CFR-2014-title33-vol2/pdf/CFR-2014-title33-vol2-sec165-1110.pdf','CFR2014'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2014-title33-vol2/pdf/CFR-2014-title33-vol2-sec165-1110.pdf"><span>33 CFR 165.1110 - Security Zone: Coronado Bay Bridge, <span class="hlt">San</span> Diego, CA.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2014&page.go=Go">Code of Federal Regulations, 2014 CFR</a></p> <p></p> <p>2014-07-01</p> <p>... Bridge, <span class="hlt">San</span> Diego, CA. 165.1110 Section 165.1110 Navigation and Navigable Waters COAST GUARD, DEPARTMENT... § 165.1110 Security Zone: Coronado Bay Bridge, <span class="hlt">San</span> Diego, CA. (a) Location. All navigable waters of <span class="hlt">San</span> Diego Bay, from the surface to the sea floor, within 25 yards of all piers, abutments, fenders and...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/CFR-2012-title33-vol2/pdf/CFR-2012-title33-vol2-sec165-1110.pdf','CFR2012'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2012-title33-vol2/pdf/CFR-2012-title33-vol2-sec165-1110.pdf"><span>33 CFR 165.1110 - Security Zone: Coronado Bay Bridge, <span class="hlt">San</span> Diego, CA.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2012&page.go=Go">Code of Federal Regulations, 2012 CFR</a></p> <p></p> <p>2012-07-01</p> <p>... Bridge, <span class="hlt">San</span> Diego, CA. 165.1110 Section 165.1110 Navigation and Navigable Waters COAST GUARD, DEPARTMENT... § 165.1110 Security Zone: Coronado Bay Bridge, <span class="hlt">San</span> Diego, CA. (a) Location. All navigable waters of <span class="hlt">San</span> Diego Bay, from the surface to the sea floor, within 25 yards of all piers, abutments, fenders and...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.loc.gov/pictures/collection/hh/item/ca1118.photos.010700p/','SCIGOV-HHH'); return false;" href="https://www.loc.gov/pictures/collection/hh/item/ca1118.photos.010700p/"><span>6. Photocopy of painting (from California Historical Society, <span class="hlt">San</span> Francisco, ...</span></a></p> <p><a target="_blank" href="http://www.loc.gov/pictures/collection/hh/">Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey</a></p> <p></p> <p></p> <p>6. Photocopy of painting (from California Historical Society, <span class="hlt">San</span> Francisco, California, Oriana Day, artist, 1879) EXTERIOR, VIEW FROM AN ANGLE OF MISSION AND SURROUNDING STRUCTURES - Mission <span class="hlt">San</span> Francisco Solano de Sonoma, First & Spain Streets, Sonoma, Sonoma County, CA</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('https://eric.ed.gov/?q=business+AND+ethnics&pg=7&id=ED103982','ERIC'); return false;" href="https://eric.ed.gov/?q=business+AND+ethnics&pg=7&id=ED103982"><span>Power in the City: Decision Making in <span class="hlt">San</span> Francisco.</span></a></p> <p><a target="_blank" href="http://www.eric.ed.gov/ERICWebPortal/search/extended.jsp?_pageLabel=advanced">ERIC Educational Resources Information Center</a></p> <p>Wirt, Frederick M.</p> <p></p> <p>This study attempts to apply contemporary political science theories to an analysis of the politics of <span class="hlt">San</span> Francisco in the 1970's. Data for the study was gathered through personal interviews with knowledgeable observers and participants in <span class="hlt">San</span> Francisco politics, through an extensive review of various governmental reports and data, and through…</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/CFR-2011-title33-vol1/pdf/CFR-2011-title33-vol1-sec80-1130.pdf','CFR2011'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2011-title33-vol1/pdf/CFR-2011-title33-vol1-sec80-1130.pdf"><span>33 CFR 80.1130 - <span class="hlt">San</span> Luis Obispo Bay, CA.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2011&page.go=Go">Code of Federal Regulations, 2011 CFR</a></p> <p></p> <p>2011-07-01</p> <p>... 33 Navigation and Navigable Waters 1 2011-07-01 2011-07-01 false <span class="hlt">San</span> Luis Obispo Bay, CA. 80.1130 Section 80.1130 Navigation and Navigable Waters COAST GUARD, DEPARTMENT OF HOMELAND SECURITY INTERNATIONAL NAVIGATION RULES COLREGS DEMARCATION LINES Pacific Coast § 80.1130 <span class="hlt">San</span> Luis Obispo Bay, CA. A line drawn from...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/CFR-2013-title33-vol1/pdf/CFR-2013-title33-vol1-sec80-1130.pdf','CFR2013'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2013-title33-vol1/pdf/CFR-2013-title33-vol1-sec80-1130.pdf"><span>33 CFR 80.1130 - <span class="hlt">San</span> Luis Obispo Bay, CA.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2013&page.go=Go">Code of Federal Regulations, 2013 CFR</a></p> <p></p> <p>2013-07-01</p> <p>... 33 Navigation and Navigable Waters 1 2013-07-01 2013-07-01 false <span class="hlt">San</span> Luis Obispo Bay, CA. 80.1130 Section 80.1130 Navigation and Navigable Waters COAST GUARD, DEPARTMENT OF HOMELAND SECURITY INTERNATIONAL NAVIGATION RULES COLREGS DEMARCATION LINES Pacific Coast § 80.1130 <span class="hlt">San</span> Luis Obispo Bay, CA. A line drawn from...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/CFR-2010-title33-vol1/pdf/CFR-2010-title33-vol1-sec80-1130.pdf','CFR'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2010-title33-vol1/pdf/CFR-2010-title33-vol1-sec80-1130.pdf"><span>33 CFR 80.1130 - <span class="hlt">San</span> Luis Obispo Bay, CA.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2010&page.go=Go">Code of Federal Regulations, 2010 CFR</a></p> <p></p> <p>2010-07-01</p> <p>... 33 Navigation and Navigable Waters 1 2010-07-01 2010-07-01 false <span class="hlt">San</span> Luis Obispo Bay, CA. 80.1130 Section 80.1130 Navigation and Navigable Waters COAST GUARD, DEPARTMENT OF HOMELAND SECURITY INTERNATIONAL NAVIGATION RULES COLREGS DEMARCATION LINES Pacific Coast § 80.1130 <span class="hlt">San</span> Luis Obispo Bay, CA. A line drawn from...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/CFR-2012-title33-vol1/pdf/CFR-2012-title33-vol1-sec80-1130.pdf','CFR2012'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2012-title33-vol1/pdf/CFR-2012-title33-vol1-sec80-1130.pdf"><span>33 CFR 80.1130 - <span class="hlt">San</span> Luis Obispo Bay, CA.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2012&page.go=Go">Code of Federal Regulations, 2012 CFR</a></p> <p></p> <p>2012-07-01</p> <p>... 33 Navigation and Navigable Waters 1 2012-07-01 2012-07-01 false <span class="hlt">San</span> Luis Obispo Bay, CA. 80.1130 Section 80.1130 Navigation and Navigable Waters COAST GUARD, DEPARTMENT OF HOMELAND SECURITY INTERNATIONAL NAVIGATION RULES COLREGS DEMARCATION LINES Pacific Coast § 80.1130 <span class="hlt">San</span> Luis Obispo Bay, CA. A line drawn from...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/CFR-2014-title33-vol1/pdf/CFR-2014-title33-vol1-sec80-1130.pdf','CFR2014'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2014-title33-vol1/pdf/CFR-2014-title33-vol1-sec80-1130.pdf"><span>33 CFR 80.1130 - <span class="hlt">San</span> Luis Obispo Bay, CA.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2014&page.go=Go">Code of Federal Regulations, 2014 CFR</a></p> <p></p> <p>2014-07-01</p> <p>... 33 Navigation and Navigable Waters 1 2014-07-01 2014-07-01 false <span class="hlt">San</span> Luis Obispo Bay, CA. 80.1130 Section 80.1130 Navigation and Navigable Waters COAST GUARD, DEPARTMENT OF HOMELAND SECURITY INTERNATIONAL NAVIGATION RULES COLREGS DEMARCATION LINES Pacific Coast § 80.1130 <span class="hlt">San</span> Luis Obispo Bay, CA. A line drawn from...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.loc.gov/pictures/collection/hh/item/ca1118.photos.010706p/','SCIGOV-HHH'); return false;" href="https://www.loc.gov/pictures/collection/hh/item/ca1118.photos.010706p/"><span>12. Photocopy of photograph (from Golden Gate Park Museum, <span class="hlt">San</span> ...</span></a></p> <p><a target="_blank" href="http://www.loc.gov/pictures/collection/hh/">Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey</a></p> <p></p> <p></p> <p>12. Photocopy of photograph (from Golden Gate Park Museum, <span class="hlt">San</span> Francisco, California, 1850's) EXTERIOR, DETAIL OF FACADE OF MISSION SHOWING ARCHED WINDOWS, ENTRANCE AND BELFRY - Mission <span class="hlt">San</span> Francisco Solano de Sonoma, First & Spain Streets, Sonoma, Sonoma County, CA</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.loc.gov/pictures/collection/hh/item/wa0222.photos.369696p/','SCIGOV-HHH'); return false;" href="https://www.loc.gov/pictures/collection/hh/item/wa0222.photos.369696p/"><span>31. BETHLEHEM SHIPBUILDING CORP, LTD. UNION PLANT, <span class="hlt">SAN</span> FRANCISCO, CA. ...</span></a></p> <p><a target="_blank" href="http://www.loc.gov/pictures/collection/hh/">Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey</a></p> <p></p> <p></p> <p>31. BETHLEHEM SHIPBUILDING CORP, LTD. UNION PLANT, <span class="hlt">SAN</span> FRANCISCO, CA. SALON DECK ARRANGEMENT, SHEET NUMBER 5314-11-84. Drawn by A.E. Wilson, dated 12-6-21. - <span class="hlt">San</span> Mateo Ferry, South end of Lake Union, Seattle, King County, WA</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://rosap.ntl.bts.gov/view/dot/14206','DOTNTL'); return false;" href="https://rosap.ntl.bts.gov/view/dot/14206"><span>Metropolitan Model Deployment Initiative : <span class="hlt">San</span> Antonio Evaluation Report : Final Draft</span></a></p> <p><a target="_blank" href="http://ntlsearch.bts.gov/tris/index.do">DOT National Transportation Integrated Search</a></p> <p></p> <p>2000-05-01</p> <p>This report presents the evaluation results of the <span class="hlt">San</span> Antonio, Texas Metropolitan Model Deployment Initiative (MMDI). The <span class="hlt">San</span> Antonio MMDI sought to make improvements in six key transportation goals. The first of these goals was the expansion and st...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/17225817','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/17225817"><span>Oral health status of <span class="hlt">San</span> Francisco public school kindergarteners 2000-2005.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Chung, Lisa H; Shain, Sara G; Stephen, Samantha M; Weintraub, Jane A</p> <p>2006-01-01</p> <p>To determine the prevalence of dental caries and oral health disparities in <span class="hlt">San</span> Francisco kindergarten public school children from 2000-2005. The <span class="hlt">San</span> Francisco Department of Public Health in partnership with the <span class="hlt">San</span> Francisco Dental Society and assistance from the National Dental Association, has been conducting annual dental screenings of kindergarten children enrolled in the <span class="hlt">San</span> Francisco Unified School District since 2000. Outcomes assessed from this series of cross-sectional screenings included prevalence of caries experience, untreated caries, treatment needs, and caries severity by child's sex, race/ethnicity, residential zip code, and a proxy for socioeconomic status. Of 76 eligible schools, 62-72 participated, and 86-92% of enrolled children (n=3,354-3,527) were screened yearly. Although there was a small, significant decrease over the time period, in 2005, 50.1% of children had caries experience; 28.8% had untreated caries and 7.6% had urgent treatment needs. Each year caries prevalence was greatest for Asian children, those attending schools with > 50% children eligible for the free or reduced-price meal program, and children living in zip codes in and around Chinatown and <span class="hlt">San</span> Francisco's southern border. Despite signs of improvement, caries remains a public health problem especially in Asian and Hispanic children, and children living in certain sections of <span class="hlt">San</span> Francisco.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.loc.gov/pictures/collection/hh/item/wa0222.photos.369697p/','SCIGOV-HHH'); return false;" href="https://www.loc.gov/pictures/collection/hh/item/wa0222.photos.369697p/"><span>32. BETHLEHEM SHIPBUILDING CORP, LTD. UNION PLANT, <span class="hlt">SAN</span> FRANCISCO, CA. ...</span></a></p> <p><a target="_blank" href="http://www.loc.gov/pictures/collection/hh/">Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey</a></p> <p></p> <p></p> <p>32. BETHLEHEM SHIPBUILDING CORP, LTD. UNION PLANT, <span class="hlt">SAN</span> FRANCISCO, CA. MAIN DECK ARRANGEMENT, SHEET NUMBER H-5314-11-8B. Drawn by A.E. Wilson, dated 12-7-21. - <span class="hlt">San</span> Mateo Ferry, South end of Lake Union, Seattle, King County, WA</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://eric.ed.gov/?q=Rafael&pg=4&id=ED239340','ERIC'); return false;" href="https://eric.ed.gov/?q=Rafael&pg=4&id=ED239340"><span><span class="hlt">San</span> Rafael Schools Exhibit.</span></a></p> <p><a target="_blank" href="http://www.eric.ed.gov/ERICWebPortal/search/extended.jsp?_pageLabel=advanced">ERIC Educational Resources Information Center</a></p> <p>San Rafael City Schools, CA.</p> <p></p> <p>The <span class="hlt">San</span> Rafael City Schools' exhibit which was displayed at the 1983 Marin County Fair (California) is described. The exhibit, entitled "Education - A Real Winner," consisted of 12 display panels illustrating the following aspects of the school system: (1) early history from 1861; (2) present board and administration; (3) present schools…</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://eric.ed.gov/?q=school+AND+uniforms&pg=3&id=EJ1016773','ERIC'); return false;" href="https://eric.ed.gov/?q=school+AND+uniforms&pg=3&id=EJ1016773"><span><span class="hlt">San</span> Ysidro High School: An Invincible Sense of Promise</span></a></p> <p><a target="_blank" href="http://www.eric.ed.gov/ERICWebPortal/search/extended.jsp?_pageLabel=advanced">ERIC Educational Resources Information Center</a></p> <p>Principal Leadership, 2013</p> <p>2013-01-01</p> <p>Commitment to one another, determination to prove stereotypes wrong, and a strong belief in the power of education are the core values at <span class="hlt">San</span> Ysidro High School in <span class="hlt">San</span> Diego, California. The school serves 2,364 students in one of the poorest communities in the country. The community celebrates its predominately Mexican-American heritage and…</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.fs.usda.gov/treesearch/pubs/22494','TREESEARCH'); return false;" href="https://www.fs.usda.gov/treesearch/pubs/22494"><span>Timber resource statistics for the <span class="hlt">San</span> Joaquin and southern California resource areas.</span></a></p> <p><a target="_blank" href="http://www.fs.usda.gov/treesearch/">Treesearch</a></p> <p>Bruce Hiserote; Joel Moen; Charles L. Bolsinger</p> <p>1986-01-01</p> <p>This report is one of five that provide timber resource statistics for 57 of the 58 counties in California (<span class="hlt">San</span> Francisco is excluded). This report presents statistics from a 1982-84 inventory of the timber resources of Alpine, Amador, Calaveras, Fresno, Imperial, Inyo, Kern, Kings, Los Angeles, Madera, Mariposa, Merced, Mono, Orange, Riverside, <span class="hlt">San</span> Bernardino, <span class="hlt">San</span>...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/servlets/purl/802090','SCIGOV-STC'); return false;" href="https://www.osti.gov/servlets/purl/802090"><span>Deep Borehole Instrumentation Along <span class="hlt">San</span> Francisco Bay Bridges - 2000</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>Hutchings, L.; Kasameyer, P.; Turpin, C.</p> <p>2000-03-01</p> <p>This is a progress report on the Bay Bridges downhole network. Between 2 and 8 instruments have been spaced along the Dumbarton, <span class="hlt">San</span> Mateo, Bay, and <span class="hlt">San</span> Rafael bridges in <span class="hlt">San</span> Francisco Bay, California. The instruments will provide multiple use data that is important to geotechnical, structural engineering, and seismological studies. The holes are between 100 and 1000 ft deep and were drilled by Caltrans. There are twenty-one sensor packages at fifteen sites. The downhole instrument package contains a three component HS-1 seismometer and three orthogonal Wilcox 731 accelerometers, and is capable of recording a micro g from local Mmore » = 1.0 earthquakes to 0.5 g strong ground motion form large Bay Area earthquakes. Preliminary results on phasing across the Bay Bridge, up and down hole wave amplification at Yerba Buena Island, and sensor orientation analysis are presented. Events recorded and located during 1999 are presented. Also, a senior thesis on the deep structure of the <span class="hlt">San</span> Francisco Bay beneath the Bay Bridge is presented as an addendum.« less</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/21879853','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/21879853"><span>Biogeochemical characteristics of Kuan-Tzu-Ling, Chung-Lun and Bao-<span class="hlt">Lai</span> hot springs in southern Taiwan.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Maity, Jyoti Prakash; Liu, Chia-Chuan; Nath, Bibhash; Bundschuh, Jochen; Kar, Sandeep; Jean, Jiin-Shuh; Bhattacharya, Prosun; Liu, Jiann-Hong; Atla, Shashi B; Chen, Chien-Yen</p> <p>2011-01-01</p> <p>Hot springs are the important natural sources of geothermally heated groundwater from the Earth's crust. Kuan-Tzu-Ling (KTL), Chung-Lun (CL) and Bao-<span class="hlt">Lai</span> (BL) are well-known hot springs in southern Taiwan. Fluid and mud (sediments) samples were collected from the eruption points of three hot springs for detailed biogeochemical characterization. The fluid sample displays relatively high concentrations of Na(+) and Cl(-) compared with K(+), Mg(2+), Ca(2+), NO(2) (-), and SO(4) (2-), suggesting a possible marine origin. The concentrations of Fe, Cr, Mn, Ni, V and Zn were significantly higher in the mud sediments compared with fluids, whereas high concentrations of As, Ba, Cu, Se, Sr and Rb were observed in the fluids. This suggests that electronegative elements were released during sediment-water interactions. High As concentration in the fluids was observed to be associated with low redox (Eh) conditions. The FTIR spectra of the humic acid fractions of the sediments showed the presence of possible functional groups of secondary amines, ureas, urethanesm (amide), and silicon. The sulfate-reducing deltaproteobacterium 99% similar to Desulfovibrio psychrotolerans (GU329907) were rich in the CL hot spring while mesophilic, proteolytic, thiosulfate- and sulfur-reducing bacterium that 99% similar to Clostridium sulfidigenes (GU329908) were rich in the BL hot spring.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/biblio/403464-lower-san-fernando-corrugated-metal-pipe-failure','SCIGOV-STC'); return false;" href="https://www.osti.gov/biblio/403464-lower-san-fernando-corrugated-metal-pipe-failure"><span>Lower <span class="hlt">San</span> Fernando corrugated metal pipe failure</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>Bardet, J.P.; Davis, C.A.</p> <p>1995-12-31</p> <p>During the January 17, 1994, Northridge earthquake, a 2.4 m diameter corrugated metal pipe was subjected to 90 m of extensive lateral crushing failure at the Lower <span class="hlt">San</span> Fernando Dam. The dam and outlet works were reconstructed after the 1971 <span class="hlt">San</span> Fernando Earthquake. In 1994, the dam underwent liquefaction upstream of the reconstructed berm. The pipe collapsed on the west side of the liquefied zone and a large sinkhole formed over the drain line. The failure of this drain line provides a unique opportunity to study the seismic response of buried drains and culverts.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20050236243','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20050236243"><span><span class="hlt">San</span> Marco D/L Post Launch Report No. 2</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p></p> <p>1988-01-01</p> <p>The <span class="hlt">San</span> Marco D/L spacecraft, utilizing a NASA supplied Scout expendable launch vehicle, was launched fran the <span class="hlt">San</span> Marco Range, located off the coast of Kenya, Africa, on March 25, 1988 at 19:50 GMT. The launch was conducted by an Italian crew assisted by LaRC and LTV personnel. The <span class="hlt">San</span> Marco D/L was the fifth in a series of Italian and United States satellites. The purpose of the mission is to explore the relationship between solar activity and the physics of the equatorial thermosphere and ionosphere. Information now being collected will augment, and be used in correlation with, data and information obtained from ground based facilities and other satellites.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.fs.usda.gov/treesearch/pubs/28439','TREESEARCH'); return false;" href="https://www.fs.usda.gov/treesearch/pubs/28439"><span><span class="hlt">San</span> Diego County Planning Efforts to Preserve Oak Woodlands</span></a></p> <p><a target="_blank" href="http://www.fs.usda.gov/treesearch/">Treesearch</a></p> <p>Thomas A. Oberbauer</p> <p>1991-01-01</p> <p>Development of <span class="hlt">San</span> Diego County has traditionally taken place on the coastal plain and in coastal valleys. Within the past two decades, it has spread into the foothills resulting in conflicts with oak woodlands. The County of <span class="hlt">San</span> Diego has proposed a number of measures to protect oak vegetation including a tree protection ordinance, land use designations and zones...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19720007316','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19720007316"><span>History of the Italian <span class="hlt">San</span> Marco equatorial mobile range</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Nesbitt, H. N.</p> <p>1971-01-01</p> <p>Events leading to the development of the <span class="hlt">San</span> Marco Equatorial Range are presented. Included are background information leading to the cooperative space program between the United States and Italy, conceptual planning, training activities, equipment design and fabrication, and range utilization. The technical support provided the <span class="hlt">San</span> Marco Program by Scout Project Office, and other NASA installations is described.</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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