Filters: Contacts: {oldPartyId:60927} (X) > partyWithName: U.S. Geological Survey (X) > partyWithName: Utah Water Science Center (X)
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This dataset summarizes impairment status for HUC12 watersheds at the CONUS scale using the EPA publicly available Assessment, Total Maximum Daily Load (TMDL) Tracking and Implementation System (ATTAINS) geospatial package and the USGS Watershed Boundary Dataset (WBD). ATTAINS is an online system maintained by the EPA containing information about the condition of the Nation’s surface waters, as reported by individual states. These data were downloaded in October 2023 and primarily reflect 2022 stream conditions. Because of the varying data types that exist in the database, an independent methodology was developed for summarizing impairment status for HUC12 watersheds using the USGS WBD as detailed in this metadata...
These are physical and geochemical (elemental, strontium isotope) data from dust and sediments collected from the Salt Lake Valley, Utah between 2018 and 2019. Data were collected by the U.S. Geological Survey Utah Water Science Center (West Valley City, Utah) to examine contributions of dust from the dry lakebed of Great Salt Lake, other regional playas, and anthropogenic sources to passive dust samplers deployed throughout the rapidly growing cities at the foot of the central Wasatch Mountains, referred to as the Wasatch Front. The samples were processed at the Utah Water Science Center and geochemical analysis was performed at the University of Utah's ICP-MS Metals and Strontium Isotope Facility (Salt Lake City,...
Categories: Data;
Tags: Ecology,
Environmental Health,
Geochemistry,
Great Salt Lake,
Salt Lake City,
This data release contains model code and input data for, and predictions from, both a dynamic stream dissolved solids and a static baseflow dissolved solids SPARROW (SPAtially Referenced Regression On Watershed attributes) model of the Upper Colorado River Basin for water years 1986-2017. Input data includes information on dissolved solids sources, landscape transport characteristics, and dissolved solids load calibration data from water quality monitoring stations. Model output includes predictions for every reach of total and incremental predicted loads and total and incremental loads from each source. Further details on model development and results are described in Miller and others, 2023.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Arizona,
Colorado,
New Mexico,
SPARROW,
USGS Science Data Catalog (SDC),
These are physical and geochemical (elemental, strontium isotope) data from dust and sediments collected from and around Great Salt Lake, Utah. Data were collected by the U.S. Geological Survey Utah Water Science Center (West Valley City, Utah) to better understand the degree to which populations in northern Utah are affected by Great Salt Lake dust, dust from other sources, and metals pollution. The samples were processed at the Utah Water Science Center and geochemical analysis was performed at the University of Utah's ICP-MS Metals and Strontium Isotope Facility (Salt Lake City, Utah). These data can be used to evaluate the spatial variability of dust and metals deposition to urban areas and natural ecosystems...
This dataset provides a modified version of the previously published Lake Powell topobathymetric digital elevation model (TBDEM; Poppenga and others, 2020). The original TBDEM is comprised of four source datasets: (1) a 2017 1-meter multibeam bathymetric survey; (2) a 2018 topographic light detection and ranging (lidar) derived digital elevation model (DEM); (3) a historical topographic DEM that was interpolated from contours maps created in 1947 and 1959; and (4) interpolated topography where gaps existed in the bathymetric and lidar data or where historical data were not suitable (Poppenga and others, 2020). For this data release, two corrections were made to the TBDEM to address errors associated with the historic...
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