Skip to main content
Advanced Search

Filters: partyWithName: U.S. Geological Survey - ScienceBase (X) > partyWithName: Laura N Gurley (X)

11 results (131ms)   

View Results as: JSON ATOM CSV
thumbnail
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...
thumbnail
To better understand the influence of human activities and natural processes on surface-water quality, the U.S. Geological Survey (USGS) developed the SPARROW (SPAtially Referenced Regressions On Watershed attributes) (Schwarz and others, 2006; Alexander and others, 2008) model. The framework is used to relate water-quality monitoring data to sources and watershed characteristics that affect the fate and transport of constituents to receiving surface-water bodies. The core of the model consists of using a nonlinear-regression equation to describe the non-conservative transport of contaminants from point and nonpoint sources on land to rivers, lakes and estuaries through the stream and river network. In North Carolina,...
thumbnail
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...
thumbnail
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...
thumbnail
To better understand the influence of human activities and natural processes on surface-water quality, the U.S. Geological Survey (USGS) developed the SPARROW (SPAtially Referenced Regressions On Watershed attributes) (Schwarz and others, 2006; Alexander and others, 2008) model. The framework is used to relate water-quality monitoring data to sources and watershed characteristics that affect the fate and transport of constituents to receiving surface-water bodies. The core of the model consists of using a nonlinear-regression equation to describe the non-conservative transport of contaminants from point and nonpoint sources on land to rivers, lakes and estuaries through the stream and river network. In North Carolina,...
thumbnail
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,...
thumbnail
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...
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...


    map background search result map search result map Coastal Carolinas Focus Area Study Associated data for Water Quality and Sediment Quality in the Albemarle Sound, North Carolina, 2012–14 Associated data for Water Quality and Sediment Quality in the Albemarle Sound, North Carolina, 2012–14, Appendix 1 Associated data for Water Quality and Sediment Quality in the Albemarle Sound, North Carolina, 2012–14, Appendix 2 Associated data for Water Quality and Sediment Quality in the Albemarle Sound, North Carolina, 2012–14, Appendix 3 SPARROW model datasets for total nitrogen and total phosphorus in North Carolina, including simulated stream loads SPARROW model dataset for total suspended solids in North Carolina, including simulated stream loads Stream Lines Used to Produce the South Carolina StreamStats 2018 Release Surface-water Modeling Groundwater Well Yield in Wake County, North Carolina Land Cover Basin Characteristics Rasters for South Carolina StreamStats 2021 Groundwater Well Yield in Wake County, North Carolina Associated data for Water Quality and Sediment Quality in the Albemarle Sound, North Carolina, 2012–14 Associated data for Water Quality and Sediment Quality in the Albemarle Sound, North Carolina, 2012–14, Appendix 1 Associated data for Water Quality and Sediment Quality in the Albemarle Sound, North Carolina, 2012–14, Appendix 2 Associated data for Water Quality and Sediment Quality in the Albemarle Sound, North Carolina, 2012–14, Appendix 3 Coastal Carolinas Focus Area Study Surface-water Modeling Land Cover Basin Characteristics Rasters for South Carolina StreamStats 2021 SPARROW model datasets for total nitrogen and total phosphorus in North Carolina, including simulated stream loads SPARROW model dataset for total suspended solids in North Carolina, including simulated stream loads Stream Lines Used to Produce the South Carolina StreamStats 2018 Release