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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This digital dataset defines the spring 1961 water-table altitude for the California's Central Valley. It was used to initiate the water-level altitudes for the upper zones of the transient hydrologic model of the Central Valley flow system. The Central Valley encompasses an approximate 50,000 square-kilometer region of California. The complex hydrologic system of the Central Valley is simulated using the USGS numerical modeling...
Tags: Alameda County, Amador County, Butte County, CV-RASA, Calaveras County, All tags...
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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This digital dataset defines the model grid and altitudes of the top of the 10 model layers and base of the model simulated in the transient hydrologic model of the Central Valley flow system. The Central Valley encompasses an approximate 50,000 square-kilometer region of California. The complex hydrologic system of the Central Valley is simulated using the USGS numerical modeling code MODFLOW-FMP (Schmid and others, 2006), which...
Tags: Alameda County, Amador County, Butte County, CV-RASA, Calaveras County, All tags...
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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This digital dataset contains the surface-water network for the Central Valley Hydrologic Model (CVHM). The Central Valley encompasses an approximate 50,000-square-kilometer region of California. The complex hydrologic system of the Central Valley is simulated using the USGS numerical modeling code MODFLOW-FMP (Schmid and others, 2006). This simulation is referred to here as the CVHM (Faunt, 2009). Utilizing MODFLOW-FMP, the CVHM...
Tags: Alameda County, Amador County, Butte County, CV-RASA, Calaveras County, All tags...
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This data release is currently being revised and is temporarily unavailable. Please contact rhkent@usgs.gov with any immediate requests. The U.S. Geological Survey Groundwater Ambient Monitoring and Assessment-Priority Basin Project (USGS GAMA-PBP) collected samples to be analyzed for per-and polyfluoroalkyl substances (PFAS) from domestic and public supply wells from May 2019 to September 2020. The datasets presented here include identification of the 28 PFAS constituents monitored by the project, Identification and brief characterization of the 211 GAMA-PBP wells for which samples were analyzed for PFAS during the study period, and analytical results for those groundwater samples, along with results for quality...


map background search result map search result map USGS Topo Map Vector Data (Vector) 49140 Williams, California 20220510 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 17279 Gilmore Peak, California 20220510 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 6481 Butte City, California 20220510 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 9731 Colusa, California 20220510 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 39305 Saint John Mountain, California 20220510 for 7.5 x 7.5 minute FileGDB 10.1 USGS US Topo 7.5-minute map for Dunnigan, CA 2018 USGS US Topo 7.5-minute map for Grimes, CA 2018 USGS US Topo 7.5-minute map for Kirkville, CA 2018 USGS US Topo 7.5-minute map for Logandale, CA 2018 USGS US Topo 7.5-minute map for Manor Slough, CA 2018 USGS US Topo 7.5-minute map for Princeton, CA 2018 USGS US Topo 7.5-minute map for Salt Canyon, CA 2018 Data sets for: Sampling for Per- and Polyfluoroalkyl Substances (PFAS) by the Groundwater Ambient Monitoring and Assessment Priority Basin Project (GAMA-PBP) US Topo 7.5-minute map for Gilmore Peak, CA US Topo 7.5-minute map for Hough Springs, CA US Topo 7.5-minute map for Salt Canyon, CA US Topo 7.5-minute map for Bartlett Springs, CA Spring 1961 water table of California's Central Valley (from Williamson and others, 1989) Surface-Water Network for the Central Valley Hydrologic Model (CVHM) Altitudes of the top of model layers in the Central Valley Hydrologic Model (CVHM) USGS Topo Map Vector Data (Vector) 49140 Williams, California 20220510 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 17279 Gilmore Peak, California 20220510 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 6481 Butte City, California 20220510 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 9731 Colusa, California 20220510 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 39305 Saint John Mountain, California 20220510 for 7.5 x 7.5 minute FileGDB 10.1 USGS US Topo 7.5-minute map for Dunnigan, CA 2018 USGS US Topo 7.5-minute map for Grimes, CA 2018 USGS US Topo 7.5-minute map for Kirkville, CA 2018 USGS US Topo 7.5-minute map for Logandale, CA 2018 USGS US Topo 7.5-minute map for Manor Slough, CA 2018 USGS US Topo 7.5-minute map for Princeton, CA 2018 USGS US Topo 7.5-minute map for Salt Canyon, CA 2018 US Topo 7.5-minute map for Gilmore Peak, CA US Topo 7.5-minute map for Hough Springs, CA US Topo 7.5-minute map for Salt Canyon, CA US Topo 7.5-minute map for Bartlett Springs, CA Surface-Water Network for the Central Valley Hydrologic Model (CVHM) Spring 1961 water table of California's Central Valley (from Williamson and others, 1989) Altitudes of the top of model layers in the Central Valley Hydrologic Model (CVHM) Data sets for: Sampling for Per- and Polyfluoroalkyl Substances (PFAS) by the Groundwater Ambient Monitoring and Assessment Priority Basin Project (GAMA-PBP)