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The U.S. Geological Survey's (USGS) SPAtially Referenced Regression On Watershed attributes (SPARROW) model was used to aid in the interpretation of monitoring data and simulate streamflow and water-quality conditions in streams across the Pacific Region of the Unites States. SPARROW is a hybrid empirical/process-based mass balance model that can be used to estimate the major sources and environmental factors that affect the long-term supply, transport, and fate of contaminants in streams. The spatially explicit model structure is defined by a river reach network coupled with contributing catchments. The model is calibrated by statistically relating watershed sources and transport-related properties to monitoring-based...
Categories: Data,
Data Release - Revised;
Tags: California,
Idaho,
Montana,
Nevada,
Nutrient Loads, All tags...
Oregon,
SPAtially Referenced Regression On Watershed attributes (SPARROW),
Spatial analysis,
Statistical analysis,
Streamflow,
Surface-water quality,
Suspended-sediment loads,
USGS Science Data Catalog (SDC),
Utah,
Washington,
Wyoming, Fewer tags
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Previous work by the U.S. Geological Survey (USGS) developed models to estimate the amount of water that is withdrawn and consumed by thermoelectric power plants (Diehl and others, 2013; Diehl and Harris, 2014; Harris and Diehl, 2019 [full citations listed in srcinfo of the metadata file]). This data release presents a historical reanalysis of thermoelectric water use from 2008 to 2020 and includes monthly and annual water withdrawal and consumption estimates, thermodynamically plausible ranges of minimum and maximum withdrawal and consumption estimates, and associated information for 1,360 water-using, utility-scale thermoelectric power plants in the United States. The term “reanalysis” refers to the process of...
Tags: Hydrology,
USA,
USGS Science Data Catalog (SDC),
Water Resources,
hydrology, All tags...
power generation water use,
water budget,
water census,
water supply and demand,
water use,
water-energy nexus, Fewer tags
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The U.S. Geological Survey's (USGS) SPAtially Referenced Regression On Watershed attributes (SPARROW) model was used to aid in the interpretation of monitoring data and simulate streamflow and water-quality conditions in streams across the Northeast Region of the United States. SPARROW is a hybrid empirical/process-based mass balance model that can be used to estimate the major sources and environmental factors that affect the long-term supply, transport, and fate of contaminants in streams. The spatially explicit model structure is defined by a river reach network coupled with contributing catchments. The model is calibrated by statistically relating watershed sources and transport-related properties to monitoring-based...
Tags: Connecticut,
Delaware,
District of Columbia,
Geochemistry,
Hydrology, All tags...
Maine,
Maryland,
Massachusetts,
New Hampshire,
New Jersey,
New York,
Nutrient Loads,
Pennsylvania,
Rhode Island,
SPAtially Referenced Regression On Watershed attributes (SPARROW),
Spatial analysis,
Statistical analysis,
Streamflow,
Surface-water quality,
Suspended-sediment loads,
USGS Science Data Catalog (SDC),
Vermont,
Virginia,
Water Quality,
Water Resources,
West Virginia, Fewer tags
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The U.S. Geological Survey (USGS) developed a spatial water-quality model called SPAtially Referenced Regressions On Watershed attributes (SPARROW) to estimate the major sources and environmental factors that affect the long-term supply, transport, and fate of contaminants in the Nation’s streams. The SPARROW model relates in-stream water-quality data to spatially referenced characteristics of watersheds, including contaminant sources and factors influencing terrestrial and aquatic transport. Based on SPARROW modeling, one of the main nutrient sources to streams is point-source facilities such as municipal waste-water treatment plants that discharge directly to streams. This dataset was developed to assist with...
Categories: Data;
Tags: Alabama,
Arizona,
Arkansas,
California,
Colorado, All tags...
Connecticut,
Delaware,
District of Columbia,
Florida,
Georgia,
Idaho,
Illinois,
Indiana,
Iowa,
Kansas,
Kentucky,
Louisiana,
Maine,
Maryland,
Massachusetts,
Michigan,
Minnesota,
Mississippi,
Missouri,
Montana,
National Hydrography Dataset,
Nebraska,
Nevada,
New Hampshire,
New Jersey,
New Mexico,
New York,
North Carolina,
North Dakota,
Ohio,
Oklahoma,
Oregon,
Pennsylvania,
Rhode Island,
SPAtially Referenced Regressions On Watershed attributes (SPARROW),
South Carolina,
South Dakota,
Tennessee,
Texas,
USGS Science Data Catalog (SDC),
Utah,
Vermont,
Virginia,
Washington,
Water Quality,
West Virginia,
Wisconsin,
Wyoming,
aquaculture,
contamination and pollution,
environment,
improvement of scientific data usability,
nutrient content,
utilitiesCommunication,
waste treatment and disposal,
wastewater discharge, Fewer tags
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The U.S. Geological Survey’s (USGS) SPAtially Referenced Regression On Watershed attributes (SPARROW) model was used to aid in the interpretation of monitoring data and simulate streamflow and water-quality conditions in streams across the Midwest Region of the United States. SPARROW is a hybrid empirical/process-based mass balance model that can be used to estimate the major sources and environmental factors that affect the long-term supply, transport, and fate of contaminants in streams. The spatially explicit model structure is defined by a river reach network coupled with contributing catchments. The model is calibrated by statistically relating watershed sources and transport-related properties to monitoring-based...
Tags: Alabama,
Arkansas,
Colorado,
Georgia,
Illinois, All tags...
Indiana,
Iowa,
Kansas,
Kentucky,
Louisiana,
Maryland,
Michigan,
Minnesota,
Mississippi,
Missouri,
Montana,
Nebraska,
New Mexico,
New York,
North Dakota,
Nutrient Loads,
Ohio,
Oklahoma,
Pennsylvania,
SPAtially Referenced Regression On Watershed attributes (SPARROW),
South Dakota,
Spatial analysis,
Statistical analysis,
Streamflow,
Surface-water quality,
Suspended-sediment loads,
Tennessee,
Texas,
USGS Science Data Catalog (SDC),
Virginia,
Water Resources,
West Virginia,
Wisconsin,
Wyoming, Fewer tags
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