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This product consists of time-series calculations of anthropogenic characteristics derived for 16 data themes for multiple scales covering the conterminous United States. The characteristics are those which (a) have consistent data sources, and (b) have the potential to affect the water quality of streams and rivers. All 16 data themes are provided for Hydrologic Unit Code level-10 (HUC-10) boundaries (n = 15,458). Additionally, measures of land use and imperviousness are provided for U.S. Environmental Protection Agency (USEPA) Level 4 ecoregions (n = 967) and for U.S. counties (n = 3,109). The data may be scaled up to broader areas; that is, HUC-10 data may be scaled up to HUC-8, 6, 4, or HUC-2 areas, Level 4...
Categories: Data;
Tags: Atmospheric Deposition,
Census of Agriculture,
Conservation Practices,
Conterminous US,
Crop Reserve Program, All tags...
Fertilizer,
Geographic Information Systems,
Geospatial Datasets,
Housing,
Hydrologic Modifications,
Imperviousness,
Land use,
Land use change,
NHDPlus,
National Water Quality Program,
Nitrogen application,
Phosphorus application,
Population change,
Riparian Land Use,
Road Salt,
Trends,
USGS Science Data Catalog (SDC),
United States,
Urbanization,
Waste Water Treatment Plants,
Water Use,
Watershed,
inlandWaters, Fewer tags
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This dataset consists of a series of 1-kilometer rasters which provide a mapping of the estimated use of 101 agricultural pesticide compounds for the conterminous United States. Each compound is mapped annually for the years 2013 through 2017, thus there are 505 rasters posted (101 compounds x 5 years). The datasets were created by taking previously-published county-level estimates of kilograms of agricultural pesticide use, then allocating them to agricultural pixels from the 2016 National Land Cover Database, aggregated to 1-kilometer spatial resolution.
Categories: Data;
Tags: Agriculture,
Conterminous U.S.,
Dasymetric mapping,
Land use,
National Land Cover Database, All tags...
Pesticides,
USGS Science Data Catalog (SDC),
United States,
Water Quality,
Water Resources,
inlandWaters, Fewer tags
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We explored the possible causes of change in Mississippi River nutrient load trends through an impact evaluation that utilizes counterfactual scenarios to compare observed changes in river loads to changes in river load that might have occurred in the absence of potential causal factors. Prior to the counterfactual analysis, we developed a multiple linear regression model to predict TN and TP load changes over time. We modeled annual FN river loads as a function of current nutrient balances, lagged nutrient balances, and a latent variable representing the aggregate effect of other potential causal factors. We examined two different counterfactual scenarios, using hypothetical inputs to the calibrated TN and TP regression...
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