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Data

We provide current and historical surface-water, groundwater, water quality, water use, and ecological data in various formats (map, graphical, tabular).

Filter Total Items: 154

Estimate of Georgia water-use data by county for 2020

In cooperation with the Georgia Environmental Protection Division, the U.S. Geological Survey compiled four datasets summarizing 2020 water use for the state of Georgia by county. These datasets include: annual aquifer withdrawals; industrial water use by category; public supply water use; and total water use across multiple variables, including domestic, commercial, industrial, mining, thermoelec

Stream stage, stream temperature, and climate metrics for 30 streams spanning land use and management gradients in the Shenandoah Valley region of West Virginia and Virginia, 2021

This data release contains summary metrics describing stream stage, stream water temperature, and short-term climate conditions (daily precipitation and air temperature) for 30 streams spanning gradients of forest and pasture land uses and agricultural best management practice implementation in the Shenandoah Valley region of Virginia and West Virginia, USA. This setting is the first of four setti

Land Cover Basin Characteristics Rasters from NLCD 2019 for South Carolina StreamStats

In cooperation with the South Carolina Department of Transportation, the U.S. Geological Survey calculated four land cover basin characteristics rasters from the National Land Cover Database (NLCD) 2019 as part of updating the South Carolina StreamStats application. These datasets are raster representations of impervious surface, developed, forested, and storage land cover attributes within the So

Application of the National Hydrologic Model Infrastructure with the Precipitation-Runoff Modeling System (NHM-PRMS),1980-2016, Daymet Version 3 calibration

This data release contains inputs and outputs for hydrologic simulations of the conterminous United States (CONUS) using the National Hydrologic Model (NHM) application of the Precipitation Runoff Modeling System (PRMS) in ASCII and binary format and explanatory graphics in pdf format. These simulations were developed to provide estimates of water availability for historical conditions for the per

Application of the National Hydrologic Model Infrastructure with the Precipitation-Runoff Modeling System (NHMI-PRMS), 1950-2010, Maurer Calibration

This data release contains inputs for and outputs from hydrologic simulations for the conterminous United States (CONUS) using the Precipitation Runoff Modeling System (PRMS) version 5.1.0 and the USGS National Hydrologic Model Infrastructure (NHMI, Regan and others, 2018). These simulations were developed to provide estimates of the water budget for the period 1950 to 2010. Specific file types in

Model Input and Output for Hydrologic Simulations for the Conterminous United States for Historical and Future Conditions Using the National Hydrologic Model Infrastructure (NHMI) and the Coupled Model Intercomparison Project Phase 5 (CMIP5), 1950 - 2100

This data release contains inputs for and outputs from hydrologic simulations for the conterminous United States (CONUS) using the Precipitation Runoff Modeling System (PRMS) version 5.1.0 (https://www.usgs.gov/software/precipitation-runoff-modeling-system-prms) and the USGS National Hydrologic Model Infrastructure (NHMI, Regan and others, 2018). These simulations were developed to provide estimat

Depth grids for floodplain flood attenuation baseline and counterfactual scenarios in the Schuylkill River watershed, Pennsylvania

As part of a study to quantify floodplain flood attenuation ecosystem services, datasets were developed representing a baseline (current floodplain condition) and counterfactual (floodplain flood storage removed) scenario for 18 sites in the Schuylkill River Watershed, Pennsylvania. This data release contains rasters (3-m resolution) of baseline and counterfactual flood depth grids for the 0.5, 0.

Tables and associated data for effects of impoundments on selected flood-frequency and daily mean streamflow characteristics in Georgia, South Carolina, and North Carolina

The U.S. Geological Survey (USGS) has a long history of working cooperatively with the South Carolina Department of Transportation to develop methods for estimating the magnitude and frequency of floods for rural and urban basins that have minimal to no regulation or tidal influence. As part of those previous investigations, flood-frequency estimates have been generated at selected regulated strea

MODFLOW-NWT and MODPATH5 used to evaluate groundwater availability, geochemistry, and flow pathways to public-supply wells in the Atlantic Coastal Plain and bedrock aquifers, Aiken County and part of Lexington County, South Carolina, 2015-2019

The U.S. Geological Survey, in cooperation with Aiken County; City of Aiken; Breezy Hill Water and Sewer Company, Inc.; Montmorenci-Couchton Water and Sewer District, Inc.; and Gilbert-Summit Rural Water District developed a model for use with MODFLOW-NWT and MODPATH5 to evaluate groundwater flow and advective transport under pre- and post-development conditions in the Atlantic Coastal Plain (ACP)

Soil and Water Assessment Tool (SWAT) models for the Cape Fear River Basin used to simulate future streamflow and irrigation demand based on climate and urban growth projections

As part of the Coastal Carolinas Focus Area Study of the U.S. Geological Survey National Water Census Program, the Soil and Water Assessment Tool (SWAT) was used to develop models for the Cape Fear River Basin, North Carolina, to simulate future streamflow and irrigation demand based on land use, climate, and water demand projections. SWAT is a basin-scale, process-based watershed model with the c

Soil and Water Assessment Tool (SWAT) models for the Pee Dee River Basin used to simulate future streamflow and irrigation demand based on climate and urban growth projections

As part of the Coastal Carolinas Focus Area Study of the U.S. Geological Survey National Water Census Program, the Soil and Water Assessment Tool (SWAT) was used to develop models for the Pee Dee River Basin, North Carolina and South Carolina, to simulate future streamflow and irrigation demand based on land use, climate, and water demand projections. SWAT is a basin-scale, process-based watershed

Target-chemical concentrations and bioassay results for assessment of mixed-organic/inorganic chemical and biological exposures in Minneapolis/St Paul, Minnesota tapwater, August 2019

This dataset contains the concentration and quality assurance results for inorganic and organic analytes collected for the U.S. Geological Survey (USGS), Ecosystems Mission Area, Environmental Health Infrastructure Program, Tapwater Exposure Project conducted in Minnesota, in August of 2019. Samples were obtained from multiple publicly distributed water sources in Minnesota in 2019. Due to privacy
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