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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: 149

Groundwater Well Yield in Wake County, North Carolina

The U.S. Geological Survey, in cooperation with Wake County Environmental Services, initiated a comprehensive groundwater resource investigation to better understand the quantity and quality of groundwater in Wake County, North Carolina. In 2020, as part of the investigation, groundwater records were compiled electronically from 7,689 wells in and within five miles of Wake County and groundwater y

Land Cover Basin Characteristics Rasters for South Carolina StreamStats 2021

In cooperation with the South Carolina Department of Transportation, the U.S. Geological Survey calculated four land cover basin characteristics rasters as part of preparing the South Carolina StreamStats 2021 application. These datasets are raster representations of impervious surface, developed, forested, and storage land cover attributes within the South Carolina StreamStats 2021 study area, an

Concentrations of Pesticide, Pharmaceutical, and Organic Wastewater Contaminants from a Multi-Regional Assessment of Wadeable USA Streams, 2014-17

Human-use pharmaceutical, pesticide, and wastewater indicator compounds were analyzed at the U.S. Geological Survey, National Water Quality Laboratory, Denver, Colorado, in wadeable streams in 4 Regional Stream Quality Assessments: Northeast (NESQA), Southeast (SESQA), Pacific Northwest (PNSQA) and California (CSQA). Multiple (with few exceptions) samplings occurred at each site, during base flow,

Basin Characteristic Layers for the Upper Colorado & Gunnison Rivers Pilot Project for StreamStats 2020

The U.S. Geological Survey (USGS) calculated multiple basin characteristics as part of preparing the Upper Colorado & Gunnison Rivers Pilot StreamStats application. These datasets are raster representations of various environmental, geological, and land use attributes within the Upper Colorado & Gunnison Rivers study area (also known as the Next-Generation Water Observing System, or NGWOS), and wi

2015 calendar-year county-level estimates of actual evapotranspiration for the conterminous United States and Hawaii

Actual evapotranspiration (ETa) values estimated for specified areas including 1) total county areas; 2) potentially irrigated areas within each county; and 3) mapped extents of irrigated lands within each county provided by some states. These ETa estimates were provided to the USGS National Water Use Science Project by the USGS Earth Resources Observation and Science (EROS) Center (Gabriel Senay

Water-Quality Measurements in Savannah River, Savannah, Georgia, 2020

The Savannah Harbor Expansion Project (SHEP) began in January 2015 with the purpose of deepening the Savannah Harbor federal shipping channel to allow access to larger shipping vessels (U.S. Army Corps of Engineers, 2018a). There are various features and mitigation efforts to the SHEP, one of which is the installation of a dissolved-oxygen (DO) injection system at two locations along the Savannah

Pesticide and transformation product concentrations and risk quotients in U.S. headwater streams

This dataset includes a subset of previously released pesticide data (Morace and others, 2020) from the U.S. Geological Survey (USGS) National Water Quality Assessment Program (NAWQA) Regional Stream Quality Assessment (RSQA) project and the corresponding hazard index results calculated using the R package toxEval, which are relevant to Mahler and others, 2020. Pesticide and transformation product

Data for the Evaluation of the U.S. Geological Survey Streamgage Network in South Carolina, 2017

This dataset contains an inventory of South Carolina U.S. Geological Survey (USGS) streamgages evaluated in 2017 as part of gage network gap assessment. Both continuous record and crest stage gages are included in this dataset. The data are grouped into three categories: rural streamgages with equal to or greater than 10 years of peak-flow data, rural streamgages with less than 10 years of peak-fl

Autonomous Underwater Vehicle Water-Quality and Sonar Measurements in Delaware River near Philadelphia, Pennsylvania, 2019

These data sets were created in support of the U.S. Geological Survey's (USGS) Next Generation Water Observing System (NGWOS) for the Delaware River Basin pilot study (Eberts, Wagner, and Woodside, 2019). The NGWOS utilizes real-time data, improved computational capabilities, and new technologies such as the rapid deployment of unmanned aerial vehicle's (UAV) and autonomous underwater vehicle's (A

Water-, Sediment-, and Biological-Quality Data for Waters Receiving Runoff from Five Bridges in South Carolina, 2013 to 2018

This dataset contains water-, sediment-, and biological-quality data collected immediately upstream and downstream from 5 bridges in 3 physiographic provinces (Piedmont, Upper Coastal Plain, and Lower Coast Plain) in South Carolina during periods of observable bridge-deck runoff during 2013 to 2018. The associated report (Journey and others, 2020, "Effects of Stormwater Runoff from Selected Bridge

Geomorphometry for Streams and Floodplains in the Chesapeake and Delaware Watersheds

Geomorphometry for Streams and Floodplains in the Chesapeake and Delaware Watersheds was generated as part of the project Quantifying Floodplain Ecological Processes and Ecosystem Services in the Delaware River Watershed funded through the William Penn Foundation's Delaware Watershed Research fund. This dataset contains geomorphometry for streams and floodplains in the Chesapeake and Delaware Rive

Land-use and water demand projections (2012 to 2065) under different scenarios of environmental change for North Carolina, South Carolina, and coastal Georgia

Urban growth and climate change together complicate planning efforts meant to adapt to increasingly scarce water supplies. Several studies have shown the impacts of urban planning and climate change separately, but little attention has been given to their combined impact on long-term urban water demand forecasting. Here we coupled land and climate change projections with empirically-derived coeffi