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

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

South Atlantic Water Science Center Strategic Science Plan: 2019–23

Executive SummaryThe South Atlantic Water Science Center Strategic Science Planning Team has developed a unified strategic science plan to guide the science vision of the South Atlantic Water Science Center (SAWSC) in response to the merging of the Georgia, North Carolina, and South Carolina Water Science Centers. This plan proposes a path forward...

Cuffney, Thomas F.; Garcia, Ana M.; Horowitz, Arthur J.; LaFontaine, Jacob H.; Landmeyer, James E.; McKee, Anna M.; McSwain, Kristen Bukowski; Painter, Jaime A.; Shelton, John M.; Smith, Christopher A.
Cuffney, T.F., Garcia, A.M., Horowitz, A.J., LaFontaine, J.H., Landmeyer, J.E., McKee, A.M., McSwain, K.B., Painter, J.A., Shelton, J.M., and Smith, C.A., 2019, South Atlantic Water Science Center strategic science plan—2019–23: U.S. Geological Survey Open-File Report 2019–1068, 31 p., https://doi.org/10.3133/ofr20191068.

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Year Published: 2019

Triangle area water supply monitoring project, North Carolina-Summary of monitoring activities, quality assurance, and data, October 2015–September 2017

Surface-water supplies are important sources of drinking water for residents in the Triangle area of North Carolina, which is located within the upper Cape Fear and Neuse River Basins. Since 1988, the U.S. Geological Survey and a consortium of local governments have tracked water-quality conditions and trends in several of the area’s water-supply...

Pfeifle, C.A.; Cain, J.L.; Rasmussen, R.B.
Pfeifle, C.A., Cain, J.L., and Rasmussen, R.B., 2019, Triangle Area Water Supply Monitoring Project, North Carolina—Summary of monitoring activities, quality assurance, and data, October 2015–September 2017: U.S. Geological Survey Open-File Report 2019–1077, 16 p., https://doi.org/10.3133/ofr20191077.

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Year Published: 2019

Predictive analysis using chemical-gene interaction networks consistent with observed endocrine activity and mutagenicity of U.S. streams

In a recent U.S. Geological Survey/U.S. Environmental Protection Agency study assessing >700 organic compounds in 38 streams, in vitro assays indicated generally low estrogen, androgen, and glucocorticoid receptor activities, but identified 13 surface waters with 17β estradiol equivalent (E2Eq) activities greater than the 1 ng/L level of...

Berninger, Jason P.; DeMarini, David M.; Warren, Sarah H.; Simmons, Jane Ellen; Wilson, Vickie S.; Conley, Justin M.; Armstrong, Mikayla D.; Kolpin, Dana W.; Kuivila, Kathryn; Reilly, Timothy J.; Romanok, Kristin M.; Villeneuve, Daniel L.; Bradley, Paul M.; Iwanowicz, Luke R.
Berninger, J.P., D.M. DeMarini, S.H. Warren, J.E. Simmons, V.S. Wilson, J.M. Conley, M.S. Armstrong, L.R. Iwanowicz, D.W. Kolpin, K.M. Kuivila, T.J. Reilly, K.M. Romanok, D.A. Villeneuve, and P.M. Bradley. 2019. Predictive analysis using chemical-gene interaction networks consistent with observed endocrine activity and mutagenicity of U.S. streams. Environmental Science and Technology. http://dx.doi.org/10.1021/acs.est.9b02990