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The population using public supply drinking water was mapped in two ways: the census enhanced method (CEM) evenly distributes the population across the census block-group, and the urban land-use enhanced method (ULUEM) distributes the population only to certain urban land use designations in order to more precisely locate public supply users. This dataset consists of the estimated population using public supply surface water distributed across block-groups.
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This archive contains the input data for the conceptual well locations for the logistic mapping. Data were computed for either the well location or within a buffer area of the well location, as specified in the parameter definition.
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This archive contains the logistic mapping output vulnerability difference rasters at the conceptual well locations. Data are provided in rasters containing the differences between estimated probabilities of nitrate concentrations greater than 2 milligrams per liter at hypothetical 150 feet and 300 feet deep wells for sequential five-year categories when one or both of the predicted probabilities was equal to or greater than 50 percent.
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The Forest to Faucets dataset provides a watershed index of surface drinking water importance, a watershed index of forest importance to surface drinking water, and a watershed index to highlight the extent to which development, fire, and insects and disease threaten forests important for surface drinking water. This layer displays the percent of the HUC watershed that is threatened bu insects and disease. For further information, see the methods paper titled, “From the Forest to the Faucet: Drinking Water and Forests in the US” located at http://www.fs.fed.us/ecosystemservices/FS_Efforts/forests2faucets.shtml.
Concentrations of halogenated volatile organic compounds (VOCs) were determined by gas chromatography (GC) with an electron-capture detector (GC-ECD) and by gas chromatography with mass spectrometry (GC-MS) in 109 groundwater samples from five study areas in the United States. In each case, the untreated water sample was used for drinking-water purposes or was from a monitoring well in an area near a drinking-water source. The minimum detection levels (MDLs) for 25 VOCs that were identified in GC-ECD chromatograms, typically, were two to more than four orders of magnitude below the GC-MS MDLs. At least six halogenated VOCs were detected in all of the water samples analyzed by GC-ECD, although one or more VOCs were...
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This dataset provides a watershed index of surface drinking water importance, a watershed index of forest importance to surface drinking water, and a watershed index to highlight the extent to which development, fire, and insects and disease threaten forests important for surface drinking water. The results of this assessment provides information that can identify areas of interest for protecting surface drinking water quality. The spatial dataset can be incorporated into broad-scale planning, such as the State Forest Action Plans, and can be incorporated into existing decision support tools that currently lack spatial data on important areas for surface drinking water. This project also sets the groundwork for...
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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 data set represents predicted nitrate concentration in ground water used for drinking, in milligrams per liter, in the conterminous United States, and was generated by a national nonlinear regression model based on 14 input parameters. Nolan and Hitt (2006) developed two national models to predict contamination of ground water by nonpoint sources of nitrate. The nonlinear approach to national-scale Ground-WAter Vulnerability...
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This data release contains a table of measured arsenic concentrations and associated model input variables used to test existing multivariate logistic regression models that predict the probabilities of arsenic concentrations exceeding threshold values of 1, 5, and 10 micrograms per liter in bedrock aquifers of New Hampshire. Location data are censored to the county level.
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NOTE: RESTRICTED DATA. This dataset comprises Unusually Sensitive Areas (USAs) data for drinking water resources in the state of Wyoming. Complex polygons in this dataset represent locations of USAs for drinking water resources. In accordance with pipeline safety laws (49 U.S.C. Section 60109), the Pipeline and Hazardous Materials Safety Administration (PHMSA) is required to identify areas unusually sensitive to environmental damage in the event of a hazardous liquid pipeline accident. Through interactions with various regulatory agencies, pipeline operators, private contractors, and the general public, a process has been developed and adopted by PHMSA to identify USAs for drinking water resources (refer to the...
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The U.S. Geological Survey (USGS), in cooperation with the U.S. Centers for Disease Control and Prevention and the Maine Center for Disease Control and Prevention, assessed the physical and chemical characteristics and the occurrence, distribution, and oxidation state of inorganic arsenic in drinking water from selected domestic well-water supplies in Maine in 2001-2 and 2006-7. The data collected provide support for evaluating arsenic-removal efficiencies of household water-purification systems and provide information to State and local officials that can be used in determining a water-treatment approach for the removal of arsenic from drinking water.
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The population using public supply drinking water was mapped in two ways: the census enhanced method (CEM) evenly distributes the population across the census block-group, and the urban land-use enhanced method (ULUEM) distributes the population only to certain urban land use designations in order to more precisely locate public supply users. This dataset consists of the estimated population using public supply groundwater distributed across census block-groups.
This web map provides a watershed index of surface drinking water importance, a watershed index of forest importance to surface drinking water, and a watershed index to highlight the extent to which development, fire, and insects and disease threaten forests important for surface drinking water. This tabular dataset is meant to be joined with the NRCS Watershed Boundary Dataset HUC-12. The results of this assessment provides information that can identify areas of interest for protecting surface drinking water quality. The spatial dataset can be incorporated into broad-scale planning, such as the State Forest Action Plans, and can be incorporated into existing decision support tools that currently lack spatial...
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This dataset provides a watershed index of surface drinking water importance, a watershed index of forest importance to surface drinking water, and a watershed index to highlight the extent to which development, fire, and insects and disease threaten forests important for surface drinking water. This symbology for this layer is based on the index value for insect and disease threat to forests which are important to surface drinking water on a range from 1-100.
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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 data set represents the presence or absence of sandstone and carbonate rock aquifers in the conterminous United States. The data set was used as an input data layer for a national model to predict nitrate concentration in ground water used for drinking. Nolan and Hitt (2006) developed two national models to predict contamination of ground water by nonpoint sources of nitrate. The nonlinear approach to national-scale Ground-WAter...
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This data release consists of the initial well input data for the logistic regression model, the conceptual well data for logistic mapping, the logistic mapping output data, the logistic mapping output vulnerability and vulnerability difference rasters, and supporting geographic information system (GIS) files for the study titled "Index of Vulnerability for Elevated Nitrates in Groundwater in the Puget Sound, Washington."
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This dataset provides analytical and other data in support of an analysis of lead and manganese in untreated drinking water from Atlantic and Gulf Coastal Plain aquifers, eastern United States. The occurrence of dissolved lead and manganese in sampled groundwater, prior to its distribution or treatment, is related to the potential presence of source minerals and specific environmental factors including hydrologic position along the flow path, water-rock interactions, and associated geochemical conditions such as pH and dissolved oxygen (DO) concentrations. A DO/pH framework is proposed as a screening tool for evaluating risk of elevated lead or manganese, based on the occurrence of elevated lead and manganese concentrations...
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The California Groundwater Ambient Monitoring and Assessment Program (GAMA) is a statewide, comprehensive assessment of groundwater quality designed to help better understand and identify risks to groundwater resources. GAMA is being implemented by the California State Water Resources Control Board. The USGS is the technical lead for the Priority Basin Project (PBP), one of the components of the GAMA Program. The initial focus of the GAMA Priority Basin Project in 2004 to 2012 was on assessment of water-quality in groundwater resources used for public drinking water supply (Belitz and others, 2003; 2015). Groundwater basins and sub-basins (472 in total) were prioritized based upon a number of factors (Belitz and...
The population using public supply drinking water was mapped in two ways: the census enhanced method (CEM) evenly distributes the population across the census block-group, and the urban land-use enhanced method (ULUEM) distributes the population only to certain urban land use designations in order to more precisely locate public supply users. This dataset consists of the total estimated population using public supply surface water and groundwater combined, distributed using the urban land-use enhanced method.
The population using public supply drinking water was mapped in two ways: the census enhanced method (CEM) evenly distributes the population across the census block-group, and the urban land-use enhanced method (ULUEM) distributes the population only to certain urban land use designations in order to more precisely locate public supply users. This dataset consists of the total estimated population using public supply surface water and groundwater combined, distributed across block-groups.
map background search result map search result map Unusually Sensitive Areas for Drinking Water in Wyoming Forests To Faucets USDA Forest to Faucets - Index of Insect and Disease Threat to Forests Important to Surface Drinking Water Testing data set for independent analysis of New Hampshire arsenic model Inventory of well-construction data, water-quality and quality control data, statistical data, and geochemical modeling data for wells in Atlantic and Gulf Coastal Plain aquifers, eastern United States, 2012 and 2013 California Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project Study Areas and grid cells for assessment of groundwater resources used for public drinking-water supply USDA Forest to Faucets Forest Importance to Drinking Water USDA Forest to Faucets Percent of HUC Threatened by Insects and Disease Arsenic datasets and other physical and chemical measurements for selected domestic well-water supplies in Maine: 2001-2 and 2006-7 Estimated equivalent population using public supply groundwater in the conterminous United States, CEM Index of vulnerability for elevated nitrates in groundwater in the Puget Sound Basin, Washington, 2000–2019 Input data for logistic mapping at the conceptual well locations for a study of groundwater vulnerability to elevated nitrates in the Puget Sound Basin, Washington, 2000–19 Output vulnerability difference rasters from logistic mapping at the conceptual well locations for a study of groundwater vulnerability to elevated nitrates in the Puget Sound Basin, Washington, 2000–19 Supporting GIS files in study to estimate groundwater vulnerability for elevated nitrates in the Puget Sound Basin, Washington, 2000-19 Vulnerability of shallow ground water and drinking-water wells to nitrate in the United States: Model of predicted nitrate concentration in U.S. ground water used for drinking (simulation depth 50 meters) -- Model output data set (gwava-dw_out) Vulnerability of shallow ground water and drinking-water wells to nitrate in the United States: Model of predicted nitrate concentration in U.S. ground water used for drinking (simulation depth 50 meters) -- Input data set for sandstone and carbonate rocks (gwava-dw_sscb) Output vulnerability difference rasters from logistic mapping at the conceptual well locations for a study of groundwater vulnerability to elevated nitrates in the Puget Sound Basin, Washington, 2000–19 Testing data set for independent analysis of New Hampshire arsenic model Index of vulnerability for elevated nitrates in groundwater in the Puget Sound Basin, Washington, 2000–2019 Input data for logistic mapping at the conceptual well locations for a study of groundwater vulnerability to elevated nitrates in the Puget Sound Basin, Washington, 2000–19 Supporting GIS files in study to estimate groundwater vulnerability for elevated nitrates in the Puget Sound Basin, Washington, 2000-19 Arsenic datasets and other physical and chemical measurements for selected domestic well-water supplies in Maine: 2001-2 and 2006-7 Unusually Sensitive Areas for Drinking Water in Wyoming California Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project Study Areas and grid cells for assessment of groundwater resources used for public drinking-water supply USDA Forest to Faucets Forest Importance to Drinking Water USDA Forest to Faucets Percent of HUC Threatened by Insects and Disease USDA Forest to Faucets - Index of Insect and Disease Threat to Forests Important to Surface Drinking Water Inventory of well-construction data, water-quality and quality control data, statistical data, and geochemical modeling data for wells in Atlantic and Gulf Coastal Plain aquifers, eastern United States, 2012 and 2013 Estimated equivalent population using public supply groundwater in the conterminous United States, CEM Vulnerability of shallow ground water and drinking-water wells to nitrate in the United States: Model of predicted nitrate concentration in U.S. ground water used for drinking (simulation depth 50 meters) -- Input data set for sandstone and carbonate rocks (gwava-dw_sscb) Vulnerability of shallow ground water and drinking-water wells to nitrate in the United States: Model of predicted nitrate concentration in U.S. ground water used for drinking (simulation depth 50 meters) -- Model output data set (gwava-dw_out) Forests To Faucets