Data

Tapwater samples were obtained from groundwater sources on French Island, in the town of Campbell, Wisconsin. Samples from three locations were collected multiple times over a period of three days to assess temporal variations in water quality. Samples from an additional eight locations, were collected one time, spatially distributed around Campbell. Due to privacy concerns, the exact...

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...

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...

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...

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...

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...

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...

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 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...

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...

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...

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...