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In cooperation with the South Carolina Department of Transportation, the U.S. Geological Survey developed a StreamStats web application (https://water.usgs.gov/osw/streamstats/) that provides analytical tools useful for water-resources planning and management (Ries and others, 2017). This data set presents the lidar-derived flow direction, flow accumulation, streamline, and hydro-enforced digital elevation model raster data used for analysis in StreamStats. Rasters are included for each of the following hydrologic unit codes (HUCs): 03040101, 03040102, 03040103, 03040104, 03040105, 03040201, 03040202, 03040203, 03040204, 03040205, 03040206, 03040207, 03040208, 03050101, 03050102, 03050103, 03050104, 03050105, 03050106,...
A digital dataset of the geomorphology of the Lower Mississippi River Valley in Missouri, Kentucky, Arkansas, Tennessee, Louisiana, and Mississippi was developed from Roger T. Saucier’s “Geomorphology and Quaternary Geologic History of the Lower Mississippi Valley, Volumes I and II” (1994) as part of the Mississippi Alluvial Plain (MAP) Regional Water Availability Study. The maps included in the 1994 reports provide a comprehensive overview of the previously misunderstood alluvial valley geology and characterize twenty-nine Pleistocene and Holocene alluvial deposits, such as point bars, abandoned channels, backswamps, and natural levees. Each map was georeferenced to North American Datum 1983 and projected to USA...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Citation,
Downloadable,
Map Service;
Tags: Alluvial Fan,
Apron,
Arkansas,
Arkansas,
Arkansas River,
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 compiled from multiple sources, but principally represent lidar-derived linework from the South Carolina Department of Natural Resources and the South Carolina Lidar Consortium.The South Carolina hydrography lines were created from elevation rasters that ranged from 4 to 10 ft resolution, to produce a product of approximately 1:6,000-scale....
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Abbeville County,
Aiken County,
Allendale County,
Anderson County,
Bamberg County,
Water-quality data for the Bushy Park Reservoir near Goose Creek, South Carolina, from September 2013 to May 2015. Data includes the chemical, physical, and biological properties that influence (1) geosmin and 2-methyisobornel (MIB) occurrence in this source-water reservoir, (2) cyanobacterial biovolumes, and (3) geosmin-producing and toxin-producing genera of cyanobacteria. This data release supports the following publication: Conrads, P.A., Journey, C.A., Petkewich, M.D., Lanier, T.H., and Clark, J.M., 2018, Characterization of water quality in Bushy Park Reservoir, South Carolina, 2013–15: U.S. Geological Survey Scientific Investigations Report 2018–5010, 175 p., https://doi.org/10.3133/sir20185010.
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: USGS Science Data Catalog (SDC)
Spatial reconnaissance of fluvial microcystins (MC) concentrations and select water-quality parameters, including nutrients and periphyton biomass, in 75 wadeable streams in the Piedmont region of the southeastern USA during 2014. Data set includes only those data specifically discussed in the associated journal article: Loftin, K.A., Clark, J.M., Journey, C.A., Kolpin, D.W., Van Metre, P.C., and Bradley, P.M., 2016, Spatial and temporal variation in microcystins occurrence in wadeable streams in the southeastern USA: Environmental Toxicology & Chemistry, http://dx.doi.org/10.1002/etc.3391.
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Alabama,
Environmental Health,
Georgia,
North Carolina,
South Carolina,
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