Filters: Types: OGC WMS Layer (X) > Types: OGC WFS Layer (X) > Types: OGC WMS Service (X) > partyWithName: U.S. Geological Survey (X) > Types: Shapefile (X) > partyWithName: Water Resources (X)
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The U.S. Geological Survey in cooperation with the Grand River Dam Authority completed a high-resolution multibeam bathymetric survey to compute a new capacity and surface-area table. The capacity and surface-area tables describe the relation between the elevation of the water surface and the volume of water that can be impounded at each given water-surface elevation. The capacity and surface area of Grand Lake O’ the Cherokees were computed from a Triangular Irregular Network (TIN) surface created in Global Mapper Version 21.0.1. The TIN surface was created from three datasets: (1) a multibeam bathymetric survey of Grand Lake O’ the Cherokees in 2019 (Hunter and others 2020), (2) a 2017 USGS bathymetric survey...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Raster,
Shapefile;
Tags: Bathymetry,
Bathymetry and Elevation,
Bathymetry and Elevation,
Grand Lake O' the Cherokees,
Oklahoma,
A sensitivity analysis of groundwater-recharge estimates from a water-budget model was completed for the islands of Oahu and Maui, Hawaii (Johnson and others, 2023). Results of the sensitivity analysis were used to quantify the relative importance of selected model parameters to recharge estimates for three moisture zones (dry, mesic, and wet) on Oahu and Maui. This shapefile contains the boundaries of the moisture zones and boundaries of the model subareas that were used in the model simulations for Oahu. The shapefile attribute information includes the names of the land-cover types assigned to model subareas and the mean annual recharge values determined for the model subareas for the baseline scenario of the...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Hawaii,
Oahu,
Pacific Islands,
biota,
boundaries,
Estimates of various low-flow statistics were computed at 71 ungaged stream locations throughout New Jersey during the 2017 water year using methods in the published reports, Streamflow Characteristics and Trends in New Jersey, Water Years 1897-2003 (U.S. Geological Survey Scientific Investigations Report 2005-5105) and Implementation of MOVE.1, Censored MOVE.1, and Piecewise MOVE.1 Low-Flow Regressions With Applications at Partial-Record Streamgages in New Jersey (U.S. Geological Survey Open File Report 2018-1089). The estimates are computed as needed for use in water resources permitting, assessment, and management by the New Jersey Department of Environmental Protection. The data release includes the stream name,...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Estimation,
Low-flow statistics,
New Jersey,
USGS Science Data Catalog (SDC),
Water Resources
Estimates of various low-flow statistics were computed at 61 ungaged stream locations throughout New Jersey during the 2016 water year using methods in the report, Streamflow Characteristics and Trends in New Jersey, Water Years 1897-2003 (U.S. Geological Survey Scientific Investigations Report 2005-5105). The estimates are computed as needed for use in water resources permitting, assessment, and management by the New Jersey Department of Environmental Protection. The data release includes the stream name, location, method, and intended use of the low-flow statistics computed during the 2016 water year. The data are provided as both a plain text file and an ArcGIS shapfile format.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Estimation,
Low-flow statistics,
New Jersey,
USGS Science Data Catalog (SDC),
Water Resources
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 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,
This data release contains three data types that could potentially be used to infer spatiotemporal variability in groundwater discharge processes, along with other research and monitoring purposes: 1) Temporally continuous stream channel water temperature and adjacent streambank air temperature time series data (generally starting November 2020) as well as limited temperature data from May to October 2022 from select seeps and springs; 2) Discrete stable isotope data collected from stream water (May 2021, October/November 2021, May 2022, October/November 2022); and 3) Discrete dissolved radon gas data from stream water (collected May 2021 and May 2022). Data were collected at 51 temporary stations installed along...
Categories: Data,
Data Release - Revised;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Ambient Monitoring,
Groundwater and Streamflow Information,
Neversink River,
New York,
Radon,
This data release contains a netCDF file containing decadal estimates of nitrate leached from septic systems (kilograms per hectare per year, or kg/ha) in the state of Wisconsin from 1850 to 2010, as well as the python code and supporting files used to create the netCDF file. The netCDF file is used as an input to a Nitrate Decision Support Tool for the State of Wisconsin (GW-NDST; Juckem and others, 2024). The dataset was constructed starting with 1990 census records, which included responses about households using septic systems for waste disposal. The fraction of population using septic systems in 1990 was aggregated at the county scale and applied backward in time for each decade from 1850 to 1980. For decades...
Categories: Data;
Types: Downloadable,
Map Service,
NetCDF OPeNDAP Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Leaching,
Nitrate,
Nitrogen,
Septic,
USGS Science Data Catalog (SDC),
This data release contains inputs and outputs needed to reproduce the findings for the publication: Rosa, S.N., and Hay, L.E., 2017, Fena Valley Reservoir watershed and water-balance model updates and expansion of watershed modeling to Southern Guam: U.S. Geological Survey Scientific Investigations Report 2017-5093, 64 p., https://doi.org/10.3133/sir20175093. Data are provided in several files: 1) the PRMS_2016 folder contains the input files needed to run each of the modeled regions in southern Guam, the calibration data files, and a README_PRMS_2016.txt document that describes the contents of this archive and the execution of the model batch files; 2) the FVR_2016 folder contains the input files needed to run...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Guam,
USGS Science Data Catalog (SDC),
Water Resources,
hydrology,
mathematical modeling
The U.S. Geological Survey, in cooperation with the California Department of Water Resources (DWR), has constructed a new spatially distributed Precipitation-Runoff Modeling System (PRMS) for the Merced River Basin (Koczot and others, 2021), which is a tributary of the San Joaquin River in California. PRMS is a deterministic, distributed-parameter, physical-process-based modeling system developed to evaluate the response of streamflow and basin hydrology to various combinations of climate and land use (Markstrom and others, 2015). Although further refinement may be required to apply the Merced PRMS for official streamflow forecast operations, this application of PRMS is calibrated with intention to simulate (and...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: California,
Climate,
Climatology,
Draper Climate-Distribution Software (Draper),
Geography,
The data contained within include high-water marks collected at 50 sites throughout the regions of New Jersey affected by significant flooding from Hurricane Ida during September of 2021. Each site contains between one to six associated high-water marks that were documented, photographed, and surveyed to datum. The datum represented by the elevations of the high-water marks is the North American Vertical Datum of 1988. All data (excluding photographs) associated with the high-water marks are contained within the data release associated with these metadata, as well as the USGS Short Term Network Flood Event Viewer (STN-FEV, U.S. Geological Survey (2021a)). Photographs can be found within the STN-FEV. A summary of...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Hurricane Ida,
New Jersey,
USGS Science Data Catalog (SDC),
flooding,
high-water,
These shapefiles represent the spatial distribution of mean annual groundwater recharge, in inches, for Kauaʻi, Oʻahu, Molokaʻi, Maui, and the Island of Hawaiʻi for a set of water-budget scenarios that characterize unique combinations of drought and land-cover conditions. Two water-budget scenarios were developed to quantify the effects of severe drought and future climate conditions on groundwater recharge for each island as follows: (1) rainfall conditions representative of the driest conditions during 1920–2012 and 2020 land cover, and (2) rainfall conditions representative of the driest conditions during a future dry-climate condition and 2020 land cover. Each drought condition was combined with two hypothetical...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Hydrology,
Land Use Change,
USGS Science Data Catalog (SDC),
Water Resources
Bathymetric LiDAR data from the upper Sacramento River in northern California, September 10-17, 2017
Bathymetric LiDAR data from the upper Sacramento River in northern California were acquired September 10-17, 2017, to support research on remote sensing of rivers, particularly mapping water depth, and to facilitate efforts to characterize salmon habitat conditions and geomorphic change along the upper Sacramento River. These data were collected using a Riefl VQ-880-Gairborne laser scanning system designed for combined hydrographic and topographic surveying. The flight was conducted by Quantum Spatial, Inc. (QSI); QSI also performed all processing of the raw LiDAR data. The data were acquired from fixed wing aircraft and were used to produce tiled point clouds in a .las format and interpolated topo-bathymetric...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: California,
LiDAR,
Sacramento River,
bathymetry,
depth,
This data release contains 1-4 dioxane, per- and polyfluoroalkyl substances (PFAS), chlorofluorocarbons (CFCs), methyl tert-butyl ether (MTBE), and trihalomethanes (THMs) concentration data from groundwater samples collected from 78 monitoring wells in Nassau County New York. Samples were collected from May 2019 through December 2022 at wells ranging in depth from twenty-three feet to 875 feet. All wells were sampled with a submersible pump and a subset of five wells were sampled using a dual membrane passive diffusion sampler for method comparison. Water-quality field parameters (water temperature, pH, turbidity, specific conductance, and dissolved oxygen) were measured during each site visit and are included....
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: 1,4-Dioxane,
CFC,
Contaminants,
Contamination,
Emerging Contaminants,
Multispectral satellite image data from the upper Sacramento River in northern California were acquired on October 18, 2017, to support research on remote sensing of rivers, particularly retrieval of water depth, and to facilitate efforts to characterize salmon habitat conditions and geomorphic change along the upper Sacramento River. These data were collected by the WorldView-3 (WV3) satellite, operated by DigitalGlobe and obtained through the EnhancedView license program administered by the National Geospatial-Intelligence Agency (NGA); the image data remain copyright of DigitalGlobe (2018). DigitalGlobe performed initial radiometric and geometric processing of the image. The data were acquired from the WorldView-3...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: California,
Sacramento River,
bathymetry,
depth,
multispectral,
Water samples were collected by the USGS National Water Quality Program (NWQP) Southeastern Stream Quality Assessment (SESQA) from 76 perennial, wadeable (less than 10 m width and 1 m depth at base-flow) headwater stream sites in watersheds with varying degrees of urban land use in four states. Dataset includes sample site locations and information, water sample nutrient concentrations and statistics analyses, and corresponding watershed land-use-land-cover data and data dictionary.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Georgia,
North America,
North Carolina,
South Carolina,
USGS Science Data Catalog (SDC),
Estimates of various low-flow statistics were computed at 66 ungaged stream locations throughout New Jersey during the 2021 water year using methods in the published reports, 1) Streamflow characteristics and trends in New Jersey, water years 1897-2003 (Watson and others, 2005) and 2) Implementation of MOVE.1, censored MOVE.1, and piecewise MOVE.1 low-flow regressions with applications at partial-record streamgaging stations in New Jersey (Colarullo and others, 2018). The estimates are computed as needed for use in water resources permitting, assessment, and management by the New Jersey Department of Environmental Protection. The data release includes the stream name, location, drainage area, method of estimation,...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Estimation,
Hydrology,
Low-flow statistics,
New Jersey,
USGS Science Data Catalog (SDC),
An unmanned aerial system was used to acquire hyperspectral image data from the upper Sacramento River in northern California on September 13, 2017, to support research on remote sensing of rivers, particularly retrieval of water depth, and to facilitate efforts to characterize salmon habitat conditions and geomorphic change along the upper Sacramento River. These data were collected by the Nano-Hyperspec imaging system, manufactured by Headwall Photonics, Inc. The flight was conducted by Headwall Photonics, Inc.; Headwall also performed the initial radiometric and geometric data processing. The data were acquired from a DJI Matrice M600 UAS and have a spatial resolution (pixel size) of 0.178 m. The data set consists...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: California,
Sacramento River,
bathymetry,
depth,
hyperspectral,
Field measurements of riverbed grain size were collected from the Merced and Tuolumne Rivers in California to support research on anadromous salmonids. The grain size estimates included in this dataset were obtained from plan-view digital images of grains on exposed gravel and cobble bars (n = 109 for the Merced, n = 26 for the Tuolumne). The images were used to estimate grain-size distributions using the algorithm of Buscombe (2013). In this dataset we report the median grain size (D50), the 16th percentile (D16) and 84th percentile (D84). The spatial location of each measurement was obtained via a Trimble R10 RTK GPS receiver. The map projection and datum for these data from the Merced River are UTM Zone 11 N...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: California,
California,
Merced River,
Steelhead,
Tuolumne River,
Borehole geophysical logs were collected to characterize bedrock aquifers at three contamination sites located in California, Wisconsin, and New Jersey. The data were collected by the U.S. Geological Survey (USGS) and the University of Guelph from 2014 to 2015 as part of the U.S. Department of Defense Strategic Environmental Research and Development Program (SERDP) and Environmental Security Technology Certification Program (ESTCP) initiatives to apply geophysical methods at fractured-rock sites contaminated with chlorinated solvents. Logs were collected in open boreholes completed in fractured rock. Each borehole was logged with natural gamma, electromagnetic induction, normal resistivity, single-point resistance,...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: USGS Science Data Catalog (SDC),
none
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