South Atlantic Water Science Center (SAWSC)

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Welcome to USGS South Atlantic Water Science Center's (SAWSC) Website. We offer water information for Georgia, North Carolina, and South Carolina

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SAWSC Leadership
Projects at SAWSC

Real-time data:
Streamflow:   GA  ||  NC  ||  SC
Water quality:    GA  ||  NC  ||  SC 
Groundwater levels:    GA  ||  NC  ||  SC
Precipitation:    GA  ||  NC  ||  SC

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Hydrologic Data at SAWSC

Hydrologic Data at SAWSC

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

Water Data at SAWSC

Science at SAWSC

Science at SAWSC

The South Atlantic Water Science Center collects high-quality hydrologic data and conducts unbiased, scientifically sound research on Georgia's, North Carolina's, and South Carolina's water resources.

Science at SAWSC

News

Date published: November 13, 2018

USGS: Florence set at least 28 flood records in Carolinas

To learn more about USGS’ role providing science to decision makers before, during and after Hurricane Florence, visit the USGS Hurricane Florence page at https://www.usgs.gov/florence.

Date published: November 1, 2018

Geomorphological Features of North Carolina Dataset Released

Three statewide datasets were compiled to provide information on geomorphological features in North Carolina. Datasets include state-wide coverages of geomorphon common forms, landscape openness, and slope area index. Datasets were generated from light detection and ranging (lidar) derived digital elevation models at 10 ft. or 30 ft. resolution.

Date published: October 24, 2018

Hurricane Florence Preliminary Peak Stage and Streamflow Data Report

Preliminary Peak Stage and Streamflow Data at Selected U.S. Geological Survey Streamgaging Stations in North and South Carolina for Flooding Following Hurricane Florence, September 2018

Publications

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Year Published: 2019

Simulation of Water Availability in the Southeastern United States for Historical and Potential Future Climate and Land-Cover Conditions

A study was conducted by the U.S. Geological Survey (USGS), in cooperation with the Gulf Coastal Plains and Ozarks Landscape Conservation Cooperative (GCPO LCC) and the Department of the Interior Southeast Climate Adaptation Science Center, to evaluate the hydrologic response of a daily time step hydrologic model to historical observations and...

LaFontaine, Jacob H.; Hart, Rheannon M.; Hay, Lauren E.; Farmer, William H.; Bock, Andy R.; Viger, Roland J.; Markstrom, Steven L.; Regan, R. Steven; Driscoll, Jessica M.
LaFontaine, J.H., Hart, R.M., Hay, L.E., Farmer, W.H., Bock, A.R., Viger, R.J., Markstrom, S.L., Regan, R.S., and Driscoll, J.M., 2019, Simulation of water availability in the Southeastern United States for historical and potential future climate and land-cover conditions: U.S. Geological Survey Scientific Investigations Report 2019–5039, 83 p., https://doi.org/10.3133/sir20195039.

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Year Published: 2019

Simulation of groundwater flow in the Brunswick Area, Georgia, for 2004 and 2015, and selected groundwater-management scenarios

The Upper Floridan aquifer (UFA) is the principal water source for industrial and public supply in Glynn County, Georgia. Wells in active pumping centers that tap the UFA for industries near the city of Brunswick have created an upward hydraulic-head gradient in the Floridan aquifer system, which has allowed high chloride (saline) groundwater from...

Cherry, Gregory S.
Cherry, G.S., 2019, Simulation of groundwater flow in the Brunswick area, Georgia, for 2004 and 2015, and selected groundwater-management scenarios: U.S. Geological Survey Scientific Investigations Report 2019–5035, 70 p., https://doi.org/10.3133/sir20195035.

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Year Published: 2019

Assessing water quality from highway runoff at selected sites in North Carolina with the Stochastic Empirical Loading and Dilution Model (SELDM)

In 2015, the U.S. Geological Survey (USGS) entered into a cooperative agreement with the North Carolina Department of Transportation (NCDOT) to develop a North Carolina-enhanced variation of the national Stochastic Empirical Loading and Dilution Model (SELDM) with available North Carolina-specific streamflow and water-quality data and to...

Weaver, J. Curtis; Granato, Gregory E.; Fitzgerald, Sharon A.
Weaver, J.C., Granato, G.E., and Fitzgerald, S.A., 2019, Assessing water quality from highway runoff at selected sites in North Carolina with the Stochastic Empirical Loading and Dilution Model (SELDM): U.S. Geological Survey Scientific Investigations Report 2019–5031, 99 p., https://doi.org/10.3133/sir20195031.