South Atlantic Water Science Center (SAWSC)

Home

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

Director's Message
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

Contact our office

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

Publication Thumbnail
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.

Publication Thumbnail
Year Published: 2019

Flood-inundation maps for the Yellow River from River Drive to Centerville Highway, Gwinnett County, Georgia

Digital flood-inundation maps for a 16.4-mile reach of the Yellow River in Gwinnett County, Georgia, from 0.5 mile upstream from River Drive to Centerville Highway (Georgia State Route 124) were developed to depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at two U.S. Geological Survey (...

Musser, Jonathan W.
Musser, J.W., 2019, Flood-inundation maps for the Yellow River from River Drive to Centerville Highway, Gwinnett County, Georgia: U.S. Geological Survey Scientific Investigations Report 2019–5009, 15 p., https://doi.org/10.3133/sir20195009.

Publication Thumbnail
Year Published: 2019

Potential toxicity of complex mixtures in surface waters from a nationwide survey of United States streams: Identifying in vitro bioactivities and causative chemicals

While chemical analysis of contaminant mixtures remains an essential component of environmental monitoring, bioactivity-based assessments using in vitro systems increasingly play a role in the detection of biological effects. Historically, in vitro assessments focused on a few biological pathways, e.g., aryl hydrocarbon receptor (AhR) or estrogen...

Blackwell, Brett R.; Ankley, Gerald T.; Bradley, Paul M.; Houck, Keith A.; Makarov, Sergei S.; Medvedev, Alexander V.; Swintek, Joe; Villeneuve, Daniel L.