Skip to main content

Organization

South Atlantic Water Science Center
https://www.usgs.gov/centers/sa-water
thumbnail
To address the data and information gap for characterizing coastal drought, a coastal salinity index (CSI) was developed using salinity data (Conrads 2016; Conrads and Darby, 2017). The CSI uses an approach similar to the Standardized Precipitation Index (SPI), a readily available drought index that is widely used for monitoring meteorological droughts (McKee and others, 1993). The CSI substitutes total monthly precipitation with monthly mean salinity data to determine the probability of recording a given salinity value in a particular month. The initial investigation demonstrated that the index could be used to delineate short- and long-term drought (saline) and wet (high freshwater inflow) conditions; however,...
thumbnail
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 and MacKenzie Friedrichs, written communication, 2/20/2017) and are based on 1-square kilometer resolution 2015 Moderate Resolution Imaging Spectroradiometer (MODIS) satellite data analyzed through the operational Simplified Surface Energy Balance (SSEBop) model using methods of Senay and others (2013). Reference: Senay,...
thumbnail
This data release contains inputs for and outputs from hydrologic simulations of the upper Chattahoochee River Basin in northeast Georgia using the Precipitation Runoff Modeling System (PRMS). These simulations were developed to provide example applications of enhancements to the PRMS for the following topics: two new time-series input options (dynamic parameter module and water-use module), two new output options (Hydrologic Response Unit (HRU) summary output module and basin variables summary output module), and three updates of existing capabilities (stream and lake flow routing module, surface-depression storage and flow simulation, and the initial-conditions specification). These PRMS model input and output...
thumbnail
The dataset contains Esherichia coli and quantitative polymerase chain reaction data for microbial source tracking markers in the Chattahoochee River and streams within the Chattahoochee River National Recreation area from samples collected in the winter and summer of the federal fiscal years 2016 and 2017. Six water samples were collected from three sites on the Chattahoochee River each season. Eleven stream sites and one additional site on the Chattahoochee River were sampled once each season, with the exception of two sites, which were not sampled in winter FY16.
thumbnail
In cooperation with the South Carolina Department of Transportation (SCDOT), the U.S. Geological Survey prepared geospatial layers illustrating the boundaries of the regions used in the South Carolina (SC) Stream Hydrograph Methods presented in Bohman (1990,1992). The region limits were described in written text and depicted in figures in Bohman (1990, 1992), but have not been provided as geospatial layers (due to the age of the original publications). This project used best-available geospatial data from the U.S. Environmental Protection Agency (USEPA) ecoregions (2013) to create equivalent geospatial representations of the Bohman (1990, 1992) region boundaries for the SC Stream Hydrograph Methods. These layers...
View more...
ScienceBase brings together the best information it can find about USGS researchers and offices to show connections to publications, projects, and data. We are still working to improve this process and information is by no means complete. If you don't see everything you know is associated with you, a colleague, or your office, please be patient while we work to connect the dots. Feel free to contact sciencebase@usgs.gov.