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This dataset contains an inventory of South Carolina U.S. Geological Survey (USGS) streamgages evaluated in 2017 as part of gage network gap assessment. Both continuous record and crest stage gages are included in this dataset. The data are grouped into three categories: rural streamgages with equal to or greater than 10 years of peak-flow data, rural streamgages with less than 10 years of peak-flow data, and urban streamgages.
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These datasets were created in support of the U.S. Geological Survey's (USGS) Next Generation Water Observing System (NGWOS) for the Delaware River Basin pilot study (Eberts, Wagner, and Woodside, 2019). The NGWOS utilizes real-time data, improved computational capabilities, and new technologies such as unmanned aerial vehicles (UAV) and autonomous underwater vehicles (AUV) to provide information on water quality and/or quantity, in more locations, quickly and efficiently (Eberts, Wagner, and Woodside, 2019). Combined with advanced modeling applications, the NGWOS will be an important tool for water-resource managers and emergency management. In this study, water-quality and bathymetric data were measured with an...
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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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This data release contains relevant datasets used in the analysis for the Chesapeake Bay stressor identification project, for which results are described in Fanelli and others (2022). For this project, two existing information sources were compiled and summarized to identify key in-stream stressors reported by the scientific literature or through regulatory assessments to be likely affecting benthic macroinvertebrate community metrics in the Chesapeake Bay region: 1) the peer reviewed multi-stressor literature, in which the effects multiple in-stream stressors on benthic macroinvertebrate community metrics are simultaneously assessed; and 2) reported causes of biological impairment as listed by state or district...
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This dataset is part of the National Water Census ongoing development of best estimates of daily historical water budgets for over 100,000 hydrologic units across the United States. In this release, estimates of total flow and snowmelt for each hydrologic unit are added to the already released estimates of actual evapotranspiration, snowpack water-equivalent storage, soil moisture, recharge, streamflow, and precipitation. All these estimates are made available per twelve-digit hydrologic unit code watershed as contained in the NHDPlus v2.1 dataset and associated Watershed Boundary Dataset (WBD) snapshot. As this project progresses, it is expected that a complete closed water budget generated from the same water...
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Freshwater salinization is an emerging issue for freshwater environments in the Chesapeake Bay, USA region. Salinization is often described by measurements of specific conductance (SC). This data release contains specific conductance observations collected by multiple regional agencies for streams within the Chesapeake Bay Watershed. This inventory compiles and harmonizes data from the Water Quality Portal (WQP), which is a data repository developed by the National Water Quality Monitoring Council and supported by the U.S. Environmental Protection Agency and U.S. Geological Survey, and the U.S. Geological Survey National Water Information System (NWIS). Both discrete measures of SC, which are single measures taken...
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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...
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The U.S. Geological Survey (USGS) computed rasters of pre-solved values for the watersheds draining to the pixel delineation point representing the watershed's percent forested land cover from the National Land Cover Dataset (NLCD) 2016 data (land cover values 41-43). These values, which cover the conterminous United States at a scale of 30m pixel size, will be served in the National StreamStats Fire-Hydrology application to describe delineated watersheds ( https://streamstats.usgs.gov/ ). The StreamStats application provides access to spatial analysis 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 delineate...
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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;...
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This data release contains the associated data described in the related primary publication, “Predicting Flood Damage Probability Across the Conterminous United States” (Collins et al. [2022], see Related External Resources section). Publicly available geospatial datasets and random forest algorithms were used to analyze the spatial distribution and underlying drivers of flood damage probability caused by excessive rainfall and overflowing water bodies across the conterminous United States. Datasets contain input files for predictor and response variables used in the analysis and output files of flood damage probabilities generated from the analysis.
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The U.S. Geological Survey (USGS) computed rasters of pre-solved values for the watersheds draining to the pixel delineation point representing the watershed's mean maximum and minimum January temperature from PRISM 1981-2010 4km data (resampled to 30m resolution). These values, which cover the conterminous United States, will be served in the National StreamStats Fire-Hydrology application to describe delineated watersheds (https://streamstats.usgs.gov/). The StreamStats application provides access to spatial analysis 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 delineate drainage areas, to retrieve basin...
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The purpose of this USGS data release is to publish NC SELDM streamflow statistics and summary statistics of physical and chemical data in support of the information provided in the above-referenced report. This data release consists of two data sets, "NC SELDM streamflow statistics..." and "NC SELDM summary statistics for physical and chemical data...". The tables that are uploaded for the "NC SELDM streamflow statistics for 266 streamgages across North Carolina" sub-section are primarily the support files for the StreamStatsDB update that was completed when the report was approved. These files were generated using the GNWISQ and QSTATS computer programs developed and described by Granato (2009, appendices 1 and...
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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 (USGS) calculated multiple basin characteristics as part of preparing the Upper Colorado & Gunnison Rivers Pilot StreamStats application. These datasets are raster representations of various environmental, geological, and land use attributes within the Upper Colorado & Gunnison Rivers study area (also known as the Next-Generation Water Observing System, or NGWOS), and will be served in the National StreamStats application (https://streamstats.usgs.gov) to describe delineated watersheds. The StreamStats application provides access to spatial analysis tools that are useful for water-resources planning and management, and for engineering and design purposes. The map-based user interface can...
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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, All tags...
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Dataset includes continuous discharge at the USGS (Station ID: 05485605) Fourmile Creek near Ankeny, IA DS1 gage site (http://waterdata.usgs.gov/usa/nwis/uv?site_no=05485605) as well as daily precipitation and water level data in select groundwater piezometers recorded in 10 minute intervals during the period Oct 1, 2013 to November 30 2013. Latitude and longitude data are provided for groundwater piezometer locations. This data release supports the following publication: Hubbard, L.E., S.H. Keefe, D.W. Kolpin, L.B. Barber, J.W. Duris, K.J. Hutchinson, and P.M. Bradley. Hydrologic Impact of Wastewater Contribution to Shallow Groundwater: Before and After Wastewater Discharge Cessation. Environmental Science: Water...
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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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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...
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As part of the Triangle Area Water Supply Monitoring Program, the U.S. Geological Survey conducted a study to evaluate the occurrence and distribution of mercury in 14 streams and 15 reservoirs in the Triangle area of North Carolina. This Data Release contains the associated data described in the Scientific Investigations Report, "Occurrence and Distribution of Mercury in Streams and Reservoirs in the Triangle Area of North Carolina, July 2007 – June 2009". Water samples were collected seasonally between July 2007 and June 2009 for laboratory analysis of mercury, organic carbon, chlorophyll a, sulfate, and suspended sediment. Field measurements of dissolved oxygen, pH, water temperature, and specific conductance...
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This dataset contains the data and results of an analysis estimating wet deposition and streamwater solute fluxes at Panola Mountain Research Watershed (PMRW), Panola Mountain State Park, Stockbridge, Georgia for water years 1986–2016. The PMRW is a small (41 ha), relatively undisturbed, forested headwater catchment in the Piedmont Province of Southeastern United States. This data provides the basis for using a watershed mass-balance approach, in which inputs and outputs of water and solutes are quantified and compared to better understand hydrologic and biogeochemical processes on a watershed scale. The dataset contains 13 datasets consisting of a variety of data series and results, which are summarized herein...


map background search result map search result map Precipitation, surface-water discharge, and groundwater elevation data for Fourmile Creek, Ankeny, Iowa, USA during October 1, 2013 to November 30, 2013 North Carolina (NC) Stochastic Empirical Loading and Dilution Model (SELDM) summary statistics for physical and chemical data at NC highway-runoff and bridge-deck sites Data for and estimates of wet deposition and streamwater solute fluxes at the Panola Mountain Research Watershed, Stockbridge, Ga., water years 1986-2016 Stream Lines Used to Produce the South Carolina StreamStats 2018 Release Water and Bed Sediment Data Associated with the Occurrence and Distribution of Mercury in Streams and Reservoirs in the Triangle Area of North Carolina, July 2007 - June 2009 Data for the Evaluation of the U.S. Geological Survey Streamgage Network in South Carolina, 2017 Soil and Water Assessment Tool (SWAT) models for the Pee Dee River Basin used to simulate future streamflow and irrigation demand based on climate and urban growth projections Basin Characteristic Layers for the Upper Colorado & Gunnison Rivers Pilot Project for StreamStats 2020 Pre-computed mean January maximum and minimum temperature rasters from PRISM 1981-2010 from the conterminous United States, for the StreamStats Fire-Hydrology application 2021 Precomputed Percent Forested-Area Rasters Derived from NLCD 2016 in Support of the StreamStats Fire-Hydrology Application, Conterminous United States Twelve-digit hydrologic unit total flow and snowmelt from the National Hydrologic Model Infrastructure with the Precipitation-Runoff Modeling System, 1980-2016 Autonomous Underwater Vehicle Water-Quality and Sonar Measurements alongside Conductivity, Temperature and Depth Measurements in the Delaware River near Philadelphia, Pennsylvania, 2021 Associated Data for Predicting Flood Damage Probability Across the Conterminous United States Indicators of Hydrologic Alteration in North Carolina Catchments: Small Ponds and Artificial Drainage Lidar-derived rasters of point density, elevation, and geomorphological features for 2013, 2015, and 2022 for the Greater Raleigh Area, North Carolina Literature review results and regulatory summaries of freshwater stressors influencing biological impairment in the Chesapeake Bay watershed, USA Region Layers for USGS South Carolina Bohman Method Hydrograph in StreamStats Impervious Land Cover Raster Derived from the National Land Cover Dataset (NLCD) 2019 for South Carolina StreamStats Datasets for Rapid Assessment of Streambank Erosion Potential for Selected Streams throughout the Greater Raleigh Area, North Carolina, 2022 Compilation of multi-agency specific conductance observations for streams within the Chesapeake Bay watershed Data for and estimates of wet deposition and streamwater solute fluxes at the Panola Mountain Research Watershed, Stockbridge, Ga., water years 1986-2016 Precipitation, surface-water discharge, and groundwater elevation data for Fourmile Creek, Ankeny, Iowa, USA during October 1, 2013 to November 30, 2013 Datasets for Rapid Assessment of Streambank Erosion Potential for Selected Streams throughout the Greater Raleigh Area, North Carolina, 2022 Lidar-derived rasters of point density, elevation, and geomorphological features for 2013, 2015, and 2022 for the Greater Raleigh Area, North Carolina Autonomous Underwater Vehicle Water-Quality and Sonar Measurements alongside Conductivity, Temperature and Depth Measurements in the Delaware River near Philadelphia, Pennsylvania, 2021 Water and Bed Sediment Data Associated with the Occurrence and Distribution of Mercury in Streams and Reservoirs in the Triangle Area of North Carolina, July 2007 - June 2009 Basin Characteristic Layers for the Upper Colorado & Gunnison Rivers Pilot Project for StreamStats 2020 Soil and Water Assessment Tool (SWAT) models for the Pee Dee River Basin used to simulate future streamflow and irrigation demand based on climate and urban growth projections Data for the Evaluation of the U.S. Geological Survey Streamgage Network in South Carolina, 2017 North Carolina (NC) Stochastic Empirical Loading and Dilution Model (SELDM) summary statistics for physical and chemical data at NC highway-runoff and bridge-deck sites Indicators of Hydrologic Alteration in North Carolina Catchments: Small Ponds and Artificial Drainage Region Layers for USGS South Carolina Bohman Method Hydrograph in StreamStats Literature review results and regulatory summaries of freshwater stressors influencing biological impairment in the Chesapeake Bay watershed, USA Compilation of multi-agency specific conductance observations for streams within the Chesapeake Bay watershed Impervious Land Cover Raster Derived from the National Land Cover Dataset (NLCD) 2019 for South Carolina StreamStats Stream Lines Used to Produce the South Carolina StreamStats 2018 Release Associated Data for Predicting Flood Damage Probability Across the Conterminous United States Twelve-digit hydrologic unit total flow and snowmelt from the National Hydrologic Model Infrastructure with the Precipitation-Runoff Modeling System, 1980-2016 Pre-computed mean January maximum and minimum temperature rasters from PRISM 1981-2010 from the conterminous United States, for the StreamStats Fire-Hydrology application 2021 Precomputed Percent Forested-Area Rasters Derived from NLCD 2016 in Support of the StreamStats Fire-Hydrology Application, Conterminous United States