Digital spatial data for predicted nitrate and arsenic concentrations in basin-fill aquifers of the Southwest Principal Aquifers study area
Data Series
698
National Water-Quality Assessment Program
By: Tim S. McKinney and David W. Anning
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Abstract
This product "Digital spatial data for predicted nitrate and arsenic concentrations in basin-fill aquifers of the Southwest Principal Aquifers study area" is a 1:250,000-scale vector spatial dataset developed as part of a regional Southwest Principal Aquifers (SWPA) study (Anning and others, 2012). The study examined the vulnerability of basin-fill aquifers in the southwestern United States to nitrate contamination and arsenic enrichment. Statistical models were developed by using the random forest classifier algorithm to predict concentrations of nitrate and arsenic across a model grid that represents local- and basin-scale measures of source, aquifer susceptibility, and geochemical conditions.
Study Area
| Publication type | Report |
|---|---|
| Publication Subtype | USGS Numbered Series |
| Title | Digital spatial data for predicted nitrate and arsenic concentrations in basin-fill aquifers of the Southwest Principal Aquifers study area |
| Series title | Data Series |
| Series number | 698 |
| DOI | 10.3133/ds698 |
| Year Published | 2012 |
| Language | English |
| Publisher | U.S. Geological Survey |
| Publisher location | Reston, VA |
| Contributing office(s) | Utah Water Science Center |
| Description | iv, 2 p. |
| Country | United States |
| State | Arizona, California, Colorado, Idaho, Nevada, New Mexico, Oregon, Utah |
| Google Analytic Metrics | Metrics page |