Filters: Tags: {"scheme":"ISO 19115 Topic Category"} (X) > partyWithName: South Atlantic Water Science Center (X) > Types: OGC WFS Layer (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 developed a suite of high-resolution lidar-derived raster datasets for the Greater Raleigh Area, North Carolina, using repeat lidar data from the years 2013, 2015, and 2022. These datasets include raster representations of digital elevation models (DEMs), DEM of difference, the ten most common geomorphons (i.e. geomorphologic feature), lidar point density, and positive topographic openness. Raster footprints vary by year based on extent of lidar data collection. All files are available as Cloud Optimized GeoTIFF, meaning they are formatted to work on the cloud or can be directly downloaded. These metrics have been...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Geomorphology,
Hydrology,
North Carolina,
Raleigh,
Remote Sensing,
As part of the Coastal Carolinas Focus Area Study of the U.S. Geological Survey National Water Census Program, the Soil and Water Assessment Tool (SWAT) was used to develop models for the Pee Dee River Basin, North Carolina and South Carolina, to simulate future streamflow and irrigation demand based on land use, climate, and water demand projections. SWAT is a basin-scale, process-based watershed model with the capability of simulating water-management scenarios. Model basins were divided into approximately two-square mile subbasins and subsequently divided into smaller, discrete hydrologic response units based on land use, slope, and soil type. The calibration period for the historic model was 2000 to 2014. The...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Alexander,
Alleghany,
Anson,
Ashe,
Bladen,
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...
In cooperation with the South Carolina Department of Transportation, the U.S. Geological Survey prepared a geospatial raster dataset describing impervious surface in the SC StreamStats study area derived from the 30m resolution National Land Cover Dataset (NLCD) 2019. This layer, which covers the SC StreamStats study area, has been resampled from the source resolution to a scale of 30ft pixels and reprojected to the common projection of the other project data layers (SC State Plane NAD 1983 International Feet WKID 2273). It will be served as part of the SC StreamStats application (https://streamstats.usgs.gov) to describe delineated watersheds. The StreamStats application provides access to spatial analytical tools...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Raster;
Tags: Georgia,
Hydrology,
Land Use Change,
North Carolina,
South Carolina,
The U.S. Geological Survey, in cooperation with Wake County Environmental Services, initiated a comprehensive groundwater resource investigation to better understand the quantity and quality of groundwater in Wake County, North Carolina. In 2020, as part of the investigation, groundwater records were compiled electronically from 7,689 wells in and within five miles of Wake County and groundwater yield data was interpolated to estimate maximum well yield across the county. Maximum well yield values estimate the maximum well yield possible at a given location; the maximum well yield is not guaranteed and actual well yield likely falls within the range of 0 and the maximum well yield value. This data release includes...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Chatham County,
Durham County,
Franklin County,
Granville County,
Groundwater,
This dataset contains boundary polygons from 59 wetlands, that were monitored as part of the U.S. Geological Survey (USGS) Amphibian Research and Monitoring Initiative (ARMI) from Saint Marks National Wildlife Refuge (SMNWR). These sites covered a range of sizes, shapes, topographic and vegetative characteristics that were deemed to be representative of wetlands within the study area. Ground-based surveys of wetland perimeters were made using a Trimble R8 Real Time Kinematic Global Positioning System (RTK-GPS). Surveys generally followed the lowest extent of saw palmetto (Serenoa repens), which is a reliable indicator of the upper limits (elevation) of sustained inundation. In instances where palmetto was absent,...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Florida,
Geographically isolated wetlands,
Saint Marks National Wildlife Refuge,
Wakulla,
depressional wetlands,
This dataset contains hourly average groundwater level time-series for 19 monitoring wells at the Panola Mountain Research Watershed (PMRW) from January 2001 to October 2002. The data was used in a hydrologic modeling study to test a model formulation that allowed for bi-direction fluxes between groundwater and surface water in a bucket type hydrologic model. Some wells had missing data so record lengths were not equal. The water level data were quality controlled; unexplained peaks and shifts were removed, and these periods were indicated as having no data. The modeling study used average water level data from the riparian area and from the entire catchment for calibration. Riparian groundwater levels were calculated...
The U.S. Geological Survey’s SPAtially Referenced Regression On Watershed attributes (SPARROW) for the Southeastern United States was used to simulate changes in total nitrogen, total phosphorus and suspended sediment load in streams under two scenarios: (1) where all forests are urbanized and (2) where all forests are urbanized and runoff is adjusted based on a non-forested landscape. This data release includes model input not published with the original model and used for scenario simulations, and model output for total nitrogen, total phosphorus, and suspended sediment under baseline conditions, scenario (1), and scenario (2). Original model input, output, and shapefiles are available (Roland and Hoos, 2020,...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Alabama,
Florida,
Georgia,
Hydrology,
Land Use Change,
This dataset presents the results of 475 unique organic compounds collected from 54 wadeable streams within the Southeastern, USA, collected within 10 weeks during 2014. Maximum and median exposure conditions were evaluated in relation to watershed characteristics and for potential biological effects. This dataset contains the summary statistics (maximum and median concentrations)of detected compounds, as well as a summary of quality-assurance (blanks and replicates) samples. Also included are the statistical summaries as related to analyte specific contaminant detection/concentration data and site-specific land-use matrices, spearman-rank correlations, and ToxCast evaluations.
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,
As part of the Coastal Carolinas Focus Area Study of the U.S. Geological Survey National Water Census Program, the Soil and Water Assessment Tool (SWAT) was used to develop models for the Cape Fear River Basin, North Carolina, to simulate future streamflow and irrigation demand based on land use, climate, and water demand projections. SWAT is a basin-scale, process-based watershed model with the capability of simulating water-management scenarios. Model basins were divided into approximately two-square mile subbasins and subsequently divided into smaller, discrete hydrologic response units based on land use, slope, and soil type. The calibration period for the historic model was 2000 to 2014. The best available...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Alamance,
Bladen,
Brunswick,
Cape Fear,
Caswell,
This dataset contains water-, sediment-, and biological-quality data collected immediately upstream and downstream from 5 bridges in 3 physiographic provinces (Piedmont, Upper Coastal Plain, and Lower Coast Plain) in South Carolina during periods of observable bridge-deck runoff during 2013 to 2018. The associated report (Journey and others, 2020, "Effects of Stormwater Runoff from Selected Bridge Decks on Water-, Sediment-, and Biological-Quality Conditions in Receiving Waters in South Carolina, 2013 to 2018") is available at https://doi.org/10.3133/sir20205046.
In cooperation with the South Carolina Department of Transportation, the U.S. Geological Survey calculated four land cover basin characteristics rasters as part of preparing the South Carolina StreamStats 2021 application. These datasets are raster representations of impervious surface, developed, forested, and storage land cover attributes within the South Carolina StreamStats 2021 study area, and will be served in the South Carolina StreamStats 2021 application 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 and design purposes. The map-based user interface can be used to...
These data represent time-series of water table depth from nine monitoring wells, soil moisture from three depths at a single monitoring location, and meteorological data from a weather station at the Panola Mountain Research Watershed (PMRW) in Rockdale County Georgia. Water-level data were logged at a 5 minute interval. In total, the data span from April 2017 to April 2020 but some wells did not get instrumented with pressure transducers until May 2018 so there are some minor differences in record length. Soil moisture spans from April 2017 to October 2019 and data is presented as hourly average volumetric water content at each depth. Meteorological data spans from April 2017 to October 2019 and is presented as...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Ecology,
Forestry,
Georgia,
Hydrology,
Panola Mountain,
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...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Alabama,
Florida,
Georgia,
Hydrology,
North Carolina,
Concentration results and quality assurance for pharmaceutical, hormone, and per- and polyfluorinated alkyl substances (PFAS) analyzed in landfill leachate and wastewater influent and effluent. Samples were collected between July and October 2016, using U.S. Geological Survey field methods. Water-quality samples for pharmaceutical and hormone compounds (reported in nanograms per liter; ng/L) were analyzed at the U.S. Geological Survey, National Water Quality Laboratory in Denver, Colorado. Samples for PFAS compounds (reported in ng/L) were analyzed at the Oregon State University Environmental and Molecular Toxicology Field Laboratory, College of Agricultural Sciences.
This data release contains eight datasets and metadata related to streamwater constituent load estimation and E. coli bacteria concentration predictions at 15 watersheds in DeKalb County, Georgia for 2012 to 2016 (the water-quality model calibration data goes through 9/22/2017 and the water-quality assurance samples goes through 11/7/2017). Loads were estimated for 15 constituents: biochemical oxygen demand, chemical oxygen demand, total suspended solids, suspended sediment concentration, total nitrogen, total nitrate plus nitrite, total phosphorus, dissolved phosphorus, total organic carbon, total calcium, total magnesium, total copper, total lead, total zinc, and total dissolved solids. The data release includes...
This data release contains 15 datasets and associated metadata of watershed characteristics and data related to stream water quality and constituent load estimation for 15 study watersheds in Gwinnett County, Georgia. Dataset periods vary but range within 2000 to 2021. The 15 datasets are organized as individual child items. The data release includes three Geographic Information System shapefiles: (1) 01: Watersheds shapefile for the 15 study watersheds in Gwinnett County, Georgia; (2) 02: Stormwater drainage areas shapefile for the 15 study watersheds in Gwinnett County, Georgia, August 2021; and (3) 03: 200-foot stream buffer shapefiles for 15 watersheds in Gwinnett County, Georgia. The data release includes four...
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