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Filters: Contacts: {oldPartyId:60927} (X) > Types: OGC WMS Layer (X) > Types: OGC WMS Service (X)

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Natural and anthropogenic contaminants, pathogens, and viruses are found in soils and sediments throughout the United States. Enhanced dispersion and concentration of these environmental health stressors in coastal regions can result from sea level rise and storm-derived disturbances. The combination of existing environmental health stressors and those mobilized by natural or anthropogenic disasters could adversely impact the health and resilience of coastal communities and ecosystems. This dataset displays the exposure potential to environmental health stressors in the Edwin B. Forsythe National Wildlife Refuge (EBFNWR), which spans over Great Bay, Little Egg Harbor, and Barnegat Bay in New Jersey, USA. Exposure...
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Coastal communities are uniquely vulnerable to sea-level rise (SLR) and severe storms such as hurricanes. These events enhance the dispersion and concentration of natural and anthropogenic chemicals and pathogenic microorganisms that could adversely affect the health and resilience of coastal communities and ecosystems in coming years. The U.S. Geological Survey has developed the Sediment-Bound Contaminant Resiliency and Response (SCoRR) strategy to define baseline and post-event sediment-bound environmental health (EH) stressors. These data document the major element chemistry, major and trace chemical composition, total sulfur content, inorganic and organic carbon for soil and sediment samples from selected stations...
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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.
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This dataset describes the location of channel heads survyed in two headwater watersheds in Clarksburg, Montgomery County, Maryland, and the digital elevation models derived from light detection and ranging (lidar) covering the two watersheds. The digital elevation models were used to derive topographic attributes used to delineate drainage networks that were then assessed for accuracy using the field-surveyed channel heads. First posted - January 21, 2021 (available from author) Revised - October 15, 2021 (version 2.0)


    map background search result map search result map Exposure potential of salt marsh units in Edwin B. Forsythe National Wildlife Refuge to environmental health stressors Analytical inorganic chemistry results for samples collected for the Sediment-Bound Contaminant Resiliency and Response Strategy pilot study, northeastern United States, 2015 Ephemeral channel heads and digital elevation models used to extract stream networks in Clarksburg, MD (ver. 2.0, October 2021) Model code, input datasets, and prediction files for dynamic stream dissolved solids and static baseflow dissolved solids SPARROW models of the Upper Colorado River Basin, 1986-2017 Ephemeral channel heads and digital elevation models used to extract stream networks in Clarksburg, MD (ver. 2.0, October 2021) Exposure potential of salt marsh units in Edwin B. Forsythe National Wildlife Refuge to environmental health stressors Model code, input datasets, and prediction files for dynamic stream dissolved solids and static baseflow dissolved solids SPARROW models of the Upper Colorado River Basin, 1986-2017 Analytical inorganic chemistry results for samples collected for the Sediment-Bound Contaminant Resiliency and Response Strategy pilot study, northeastern United States, 2015