Filters: Types: OGC WMS Service (X) > partyWithName: Laura N Gurley (X)
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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,
This data release contains environmental and quality control results for chemical, biological, and physical sampling of water and bed sediment from Albemarle Sound and associated tributaries between 2012 and 2014 referenced in USGS OFR 2016-1171. Appendix 1 contains all quality control results to characterize the bias and variability of sampling, handling, and analysis of water, phytoplankton, and bed sediment samples. Appendix 2 contains all the chemical, biological, and physical results for water samples collected in July and August of 2012. Appendix 3 contains all the chemical, biological, and physical results for water samples collected from March 2013 to February 2014. Data are included for discrete samples...
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 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,
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,
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,
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,
The Coastal Carolinas Focus Area Study (CC FAS) examines water availability and use to meet competing societal and ecological needs in Southeastern Atlantic Coastal Basins of the Carolinas. The study area is focused along the coastline of the Carolinas, extending from Georgetown, South Carolina to Wilmington, North Carolina, and includes lower parts of the Cape Fear River and Pee Dee River basins. Projected changes in population, land-use, and climate is expected to place significant stress on water resources in the Coastal Carolinas. To investigate impacts from these stressors, this study was divided into five distinct components: (1) Societal Water-Use Data Compilation and Refinement, (2) Land-use, Population,...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Coastal Carolinas
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...
Surface-water models are being developed to simulate streamflow at existing USGS gaging stations and other ungaged locations in and upstream of the Coastal Basins of the Carolinas. The models will be used to simulate the potential effects of projected changes in water-use, climate, and urbanization through the year 2065. The Soil and Water Assessment Tool (SWAT) is being used to develop the models. The SWAT model is a physically-based watershed model with the capability of incorporating water-use data. The model operates on a daily time step, which is necessary to support the data input requirements of future ecological response modeling. The models are being calibrated to the period 2000-2014 and will subsequently...
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