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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...
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Alterations to stream hydrology, which include changes in stream geomorphology, are primary impacts of anthropogenic disruption. In North Carolina, hydrological alterations lead to environmental impacts through degraded ecosystems and water quality. In collaboration with the North Carolina Department of Environmental Quality, Division of Mitigation Services (DMS), the USGS South Atlantic Water Science Center datasets are proxy measurements of the extent of altered hydrology in riverine systems across the State of North Carolina. The datasets consist of an inventory and characterization of small scale (mostly agricultural) ponds and artificial drainages, which are both significant hydrologic modifications in the...
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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, All tags...
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Digital flood-inundation maps for a 12.6-mile reach of the Withlacoochee River from Skipper Bridge Road to St. Augustine Road, Lowndes County, Georgia, were created by the U.S. Geological Survey (USGS) in cooperation with the city of Valdosta and Lowndes County, Georgia. The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage Withlacoochee River at Skipper Bridge Road, near Bemiss, Georgia (023177483). Real-time stage information from this streamgage can be obtained at the National Water Information...
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The U.S. Geological Survey (USGS) has a long history of working cooperatively with the South Carolina Department of Transportation to develop methods for estimating the magnitude and frequency of floods for rural and urban basins that have minimal to no regulation or tidal influence. As part of those previous investigations, flood-frequency estimates have been generated at selected regulated streamgages. This is the data release for the report which assesses the effects of impoundments on flood-frequency characteristics by comparing annual exceedance probability (AEP) streamflows from pre- and post-regulated (before and after impoundment) periods at 18 USGS long-term streamgages, which is defined as a streamgage...
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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 (USGS) streamgages in the mapped area. The maps for the 9.0-mile reach from 0.5-mile upstream of River Drive to Stone Mountain Highway (US Route 78) are referenced to the Yellow River, near Snellville, Georgia (Ga.; station 02206500), and the maps for the 7.4-mile reach from Stone Mountain Highway to Centerville Highway are referenced to the...
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In cooperation with the South Carolina Department of Transportation, the U.S. Geological Survey updated the foundational geospatial layers for the South Carolina StreamStats web application (https://water.usgs.gov/osw/streamstats/), which provides analytical tools useful for water-resources planning and management (Kolb and others, 2018). This dataset presents the digital elevation model, lidar-derived flow direction, flow accumulation, and percent basin slope raster data layers used for analysis in StreamStats. It also includes the streamline vector data used to hydro-enforce the raster data layers.
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The U.S. Geological Survey (USGS) worked in cooperation with the Federal Emergency Management Agency (FEMA) to document the October, 2016 storm event in North Carolina. The passage of Hurricane Matthew through central and eastern North Carolina during October 7-9, 2016, brought heavy rainfall which resulted in major flooding. More than 15 inches of rain were recorded in some areas. Over 600 roads were closed including Interstates 95 and 40, and nearly 99,000 structures were impacted by floodwaters. Immediately after the flooding, the USGS documented 267 high-water marks (HWM), of which 254 were surveyed. The North Carolina Emergency Management documented and surveyed 353 HWMs. Using a subset of these HWMs, six flood-inundation...
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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.
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Reliable peak-streamflow information is critical for proper design of stream-related infrastructure, such as bridges, and StreamStats is a Web-based Geographic Information Systems (GIS) application that provides a user-friendly interface to estimate peak flows (https://streamstats.usgs.gov/ss/). StreamStats develops these peak-flow estimates using basin characteristics for the entire contributing area to a user-selected point; however, infrastructure planners often need to estimate flows for an area downstream from a known control such as a reservoir release or a weir. This dataset was compiled in cooperation with the South Carolina Department of Transportation (SCDOT) to provide a GIS layer of filtered regulation...
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In cooperation with the South Carolina Department of Transportation, the U.S. Geological Survey calculated four land cover basin characteristics rasters from the National Land Cover Database (NLCD) 2019 as part of updating the South Carolina StreamStats application. These datasets are raster representations of impervious surface, developed, forested, and storage land cover attributes within the South Carolina StreamStats study area, and will be served in the South Carolina StreamStats application (https://www.usgs.gov/streamstats) to describe delineated watersheds. The StreamStats application provides access to spatial analytical tools that are useful for water-resources planning and management, and for engineering...
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Reliable estimates of the magnitude and frequency of floods are an important part of the framework for hydraulic-structure design and flood-plain management in Georgia, South Carolina, and North Carolina (study area). Annual peak flows measured at U.S. Geological Survey streamgages were used to compute at-site flood-frequency estimates at those streamgages in the study area based on annual peak-flows records through 2017. 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 model archive provides the inputs and outputs for (1) the at-site flood-frequency...


    map background search result map search result map Flood Inundation, Flood Depth, and High-Water Marks for Selected Areas in North Carolina from the October 2016 Flood Flood-inundation area for the Withlacoochee River in Lowndes County, Georgia from Skipper Bridge Road to St. Augustine Road Flood inundation and flood depth for the Yellow River in Gwinnett County, Georgia based on water-surface elevation at the U.S. Geological Survey streamgages Yellow River, near Snellville, Georgia (02206500) and Yellow River at Ga. 124, near Lithonia, Georgia (02207120) Stream Lines Used to Produce the South Carolina StreamStats 2018 Release Locations of Dams and Basins in South Carolina, derived from U.S. Army Corps Engineers National Inventory of Dams Indicators of Hydrologic Alteration in North Carolina Catchments: Small Ponds and Artificial Drainage Magnitude and Frequency of Floods for Rural Streams in Georgia, South Carolina, and North Carolina, 2017-Data Model Archive for Magnitude and Frequency of Floods for Rural Streams in Georgia, South Carolina, and North Carolina, 2017 Region Layers for USGS South Carolina Bohman Method Hydrograph in StreamStats Tables and associated data for effects of impoundments on selected flood-frequency and daily mean streamflow characteristics in Georgia, South Carolina, and North Carolina Land Cover Basin Characteristics Rasters from NLCD 2019 for South Carolina StreamStats Foundational Geospatial Layers for South Carolina StreamStats 2024 Flood inundation and flood depth for the Yellow River in Gwinnett County, Georgia based on water-surface elevation at the U.S. Geological Survey streamgages Yellow River, near Snellville, Georgia (02206500) and Yellow River at Ga. 124, near Lithonia, Georgia (02207120) Flood-inundation area for the Withlacoochee River in Lowndes County, Georgia from Skipper Bridge Road to St. Augustine Road Locations of Dams and Basins in South Carolina, derived from U.S. Army Corps Engineers National Inventory of Dams Flood Inundation, Flood Depth, and High-Water Marks for Selected Areas in North Carolina from the October 2016 Flood Indicators of Hydrologic Alteration in North Carolina Catchments: Small Ponds and Artificial Drainage Region Layers for USGS South Carolina Bohman Method Hydrograph in StreamStats Foundational Geospatial Layers for South Carolina StreamStats 2024 Land Cover Basin Characteristics Rasters from NLCD 2019 for South Carolina StreamStats Stream Lines Used to Produce the South Carolina StreamStats 2018 Release Tables and associated data for effects of impoundments on selected flood-frequency and daily mean streamflow characteristics in Georgia, South Carolina, and North Carolina Model Archive for Magnitude and Frequency of Floods for Rural Streams in Georgia, South Carolina, and North Carolina, 2017 Magnitude and Frequency of Floods for Rural Streams in Georgia, South Carolina, and North Carolina, 2017-Data