Filters: Types: Downloadable (X) > partyWithName: U.S. Geological Survey (X) > Types: Shapefile (X) > Categories: Data (X) > Types: OGC WFS Layer (X) > partyWithName: Water Resources (X) > partyWithName: South Atlantic Water Science Center (X)
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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...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Georgia,
Hydrology,
North Carolina,
South Carolina,
USGS Science Data Catalog (SDC),
As part of a collaborative study with the City of Raleigh, North Carolina, the U.S. Geological Survey is assessing streambank erosion potential in selected stream reaches throughout the Greater Raleigh metropolitan area. Rapid field measurement techniques were used to assess streambank stability at 124 stream segments between January and March 2022. Field data were collected using the Bank Erosion Hazard Index (BEHI) and Near Bank Stress (NBS) assessment methods (Rosgen, 2001; Rosgen and others, 2008) as well as the Rapid Geomorphic Assessment (RGA) method (Simon and others, 2007). This Data Release contains a dataset with all stream site information, field measurements, and streambank stability assessment results;...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Geomorphology,
Geomorphology,
Hydrology,
Land Use Change,
Raleigh, North Carolina,
As part of a collaborative study with the City of Raleigh, North Carolina, the U.S. Geological Survey developed a drainage network for the Greater Raleigh Area, North Carolina using the most recent available lidar data, representing the years 2015 and 2022. This dataset includes the delineated drainage network (drainage_network.zip) and rasters representing the breached and filled digital elevation model (raleigh_dem_fil.tif), the flow accumulation raster (raleigh_d8_fac.tif), and the flow direction raster (raleigh_d8_fdr.tif). Raster files are available as Cloud Optimized GeoTIFFs, meaning they are formatted to work on the cloud or can be directly downloaded. The drainage network was delineated for all locations...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Geomorphology,
Hydrology,
North Carolina,
Raleigh,
Remote Sensing,
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 samples were collected by the USGS National Water Quality Program (NWQP) Southeastern Stream Quality Assessment (SESQA) from 76 perennial, wadeable (less than 10 m width and 1 m depth at base-flow) headwater stream sites in watersheds with varying degrees of urban land use in four states. Dataset includes sample site locations and information, water sample nutrient concentrations and statistics analyses, and corresponding watershed land-use-land-cover data and data dictionary.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Georgia,
North America,
North Carolina,
South Carolina,
USGS Science Data Catalog (SDC),
Reliable estimates of the magnitude and frequency of floods are an important part of the framework for hydraulic-structure design and flood-plain management. Annual peak flows measured at U.S. Geological Survey streamgages are used to compute flood-frequency estimates at those streamgages. However, flood-frequency estimates also are needed at ungaged stream locations. A process known as regionalization was used to develop regression equations to estimate the magnitude and frequency of floods at ungaged locations. This dataset contains the supporting tables and updated hydrologic region boundaries used in the 2017 flood-frequency study for Georgia, South Carolina, and North Carolina.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Alabama,
Florida,
Georgia,
Hydrology,
North Carolina,
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