Probability of nitrate concentrations exceeding multiple thresholds in shallow groundwater, Mid-Atlantic Region of the United States
Dates
Publication Date
2022-08-23
Time Period
1997
Citation
LaMotte, A.E., 2022, Probability of nitrate concentrations exceeding multiple thresholds in shallow groundwater, Mid-Atlantic Region of the United States: U.S. Geological Survey data release, https://doi.org/10.5066/P9BJM7HD.
Summary
This data release consists of rasters representing the probability of exceeding multiple thresholds of nitrate in shallow groundwater for the Mid-Atlantic region of the United States. Each raster represents the results from multiple spatial-probability models that were developed using U.S. Geological Survey water-quality data in conjunction with geographic data such as land cover, geology, and soils. There are 10 rasters of predictions (PRED_1 through PRED_10) and 10 rasters of the highest possible probability (UPPER_1 through UPPER_10). The highest probability is the upper limit of the prediction confidence interval calculated as part of each model. Geospatial data provided are in the North American Albers equal-area conic projection [...]
Summary
This data release consists of rasters representing the probability of exceeding multiple thresholds of nitrate in shallow groundwater for the Mid-Atlantic region of the United States. Each raster represents the results from multiple spatial-probability models that were developed using U.S. Geological Survey water-quality data in conjunction with geographic data such as land cover, geology, and soils. There are 10 rasters of predictions (PRED_1 through PRED_10) and 10 rasters of the highest possible probability (UPPER_1 through UPPER_10). The highest probability is the upper limit of the prediction confidence interval calculated as part of each model. Geospatial data provided are in the North American Albers equal-area conic projection at 1500-meter resolution. Please refer to the Supplemental Information and Process Steps elements of this metadata record for specific geographic data layers and statistical processes.
These data support the U.S. Geological Survey Scientific Investigations Report Ground-Water Vulnerability to Nitrate Contamination at Multiple Thresholds in the Mid-Atlantic Region Using Spatial Probability Models (https://doi.org/10.3133/sir20045118). The report describes a spatial statistical methodology that can be used to assess the risk of nonpoint-source contamination of groundwater exceeding a specified threshold in areas of the Mid-Atlantic Region.
