South Atlantic Water Science Center (SAWSC)

Data and Tools

Quick Links

Real-time streamflow:     GA  ||  NC  ||  SC
Real-time water-quality data:    GA  ||  NC  ||  SC 
Real-time groundwater levels:    GA  ||  NC  ||  SC
Real-time precipitation:    GA  ||  NC  ||  SC

Filter Total Items: 217
Date published: May 27, 2019

Concentration of chemical constituents in lake sediments from selected coring locations on Lake Lanier, Georgia, May 2018

The data herein were collected in support of a larger study in Gwinnett County, GA on the possible impacts of on-site waste water treatment (septic systems) on Lake Lanier water quality. Until recently, a missing component in this assessment was the inclusion of historical sediment and associated nutrient accumulation data from the lake to place results in a broader context. To this end%2

Date published: April 1, 2019

North Carolina (NC) Stochastic Empirical Loading and Dilution Model (SELDM) summary statistics for physical and chemical data at NC highway-runoff and bridge-deck sites

The purpose of this USGS data release is to publish NC SELDM streamflow statistics and summary statistics of physical and chemical data in support of the information provided in the above-referenced report. This data release consists of two data sets, "NC SELDM streamflow statistics..." and "NC SELDM summary statistics for physical and chemical data...". The tables that are uploaded for

Date published: March 12, 2019

Flood-inundation area for the Yellow River in Gwinnett County, Georgia from Stone Mountain Highway to Centerville Highway

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

Date published: January 1, 2019

Analytical results for the environmental and replicate sample sets collected from October 2015 through September 2017 at the Triangle Area Water Supply Monitoring Project study sites, North Carolina

The dataset contains the analytical results for environmental and quality-control replicate sample sets and the computed relative percent differences (RPD) greater than 25 percent for the data collected during the surface-water sampling for the Triangle Area Water Supply Monitoring Project. The data are from samples collected during October 2015 through September 2017. Several study sites c...

Date published: January 1, 2019

North Carolina (NC) Stochastic Empirical Loading and Dilution Model (SELDM) streamflow statistics for 266 streamgages across North Carolina

The purpose of this USGS data release is to publish NC SELDM streamflow statistics and summary statistics of physical and chemical data in support of the information provided in the above-referenced report. This data release consists of two data sets, "NC SELDM streamflow statistics..." and "NC SELDM summary statistics for physical and chemical data...". The tables that are uploaded for

Date published: January 1, 2019

Data for and estimates of wet deposition and streamwater solute fluxes at the Panola Mountain Research Watershed, Stockbridge, Ga., water years 1986-2016

This dataset contains the data and results of an analysis estimating wet deposition and streamwater solute fluxes at Panola Mountain Research Watershed (PMRW), Panola Mountain State Park, Stockbridge, Georgia for water years 1986–2016. The PMRW is a small (41 ha), relatively undisturbed, forested headwater catchment in the Piedmont Province of Southeastern United States.

Date published: January 1, 2019

Precipitation Runoff Modeling System Input Data for Hydrologic Simulations of the Southeastern United States for Historical and Future Conditions

The southeastern United States was modeled to produce 59 simulations of historical and potential future streamflow using the Precipitation Runoff Modeling System (PRMS) as part of the study documented in LaFontaine and others (2019). One simulation used historical observations of climate, 13 used historical climate simulations using statistically downscaled general circulation model (

Date published: January 1, 2019

Chemical-Gene and Chemical-Pathway Interactions Predicted for Chemicals Detected in the USGS-USEPA National Streams Pilot Study Based on Effects Data in the Comparative Toxicogenomics Database (CTD)

Data from study assessing the utility of knowledgebase-leveraging of comprehensive environmental-contaminant-exposure datasets by comparing biological effects predicted on the basis of target chemical analyses with measured biological effects in corresponding split water samples.

Date published: January 1, 2019

Autonomous Underwater Vehicle Water-Quality Measurements in Savannah River, Savannah, Georgia, 2018-2019

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 al

Date published: January 1, 2019

Stream Lines Used to Produce the South Carolina StreamStats 2018 Release

The U.S. Geological Survey South Atlantic Water Science Center, in cooperation with the South Carolina Department of Transportation, implemented a South Carolina StreamStats application in 2018. This shapefile dataset contains vector lines representing streams, rivers, and ditches that were used in preparing the underlying data for the South Carolina StreamStats application. Data were co

Date published: January 1, 2019

Coastal Salinity Index for Monitoring Drought

The Coastal Salinity Index was applied to salinity data obtained from sites in North Carolina, South Carolina, Georgia, Florida, Alabama, Mississippi, Louisiana, Texas, and Puerto Rico. This data release will provide all the salinity data and Coastal Salinity Index results for many coastal salinity gages.