Machine-learning models to map pH and redox conditions in groundwater in a layered aquifer system, Northern Atlantic Coastal Plain, eastern USA
June 30, 2020
Study region
Citation Information
| Publication Year | 2020 |
|---|---|
| Title | Machine-learning models to map pH and redox conditions in groundwater in a layered aquifer system, Northern Atlantic Coastal Plain, eastern USA |
| DOI | 10.1016/j.ejrh.2020.100697 |
| Authors | Leslie A. DeSimone, Jason P. Pope, Katherine Marie Ransom |
| Publication Type | Article |
| Publication Subtype | Journal Article |
| Series Title | Journal of Hydrology: Regional Studies |
| Index ID | 70217072 |
| Record Source | USGS Publications Warehouse |
| USGS Organization | WMA - Earth System Processes Division |
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Data used to model and map pH and redox conditions in the Northern Atlantic Coastal Plain aquifer system, eastern USA Data used to model and map pH and redox conditions in the Northern Atlantic Coastal Plain aquifer system, eastern USA
Data used to model and map pH and redox conditions in groundwater in the Northern Atlantic Coastal Plain aquifer system, eastern USA, are documented in this data release. The models use as input data measurements of pH and dissolved oxygen concentrations at about 3000 to 5000 wells, which were compiled primarily from U.S. Geological Survey and U.S. Environmental Protection Agency...
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Data used to model and map pH and redox conditions in the Northern Atlantic Coastal Plain aquifer system, eastern USA Data used to model and map pH and redox conditions in the Northern Atlantic Coastal Plain aquifer system, eastern USA
Data used to model and map pH and redox conditions in groundwater in the Northern Atlantic Coastal Plain aquifer system, eastern USA, are documented in this data release. The models use as input data measurements of pH and dissolved oxygen concentrations at about 3000 to 5000 wells, which were compiled primarily from U.S. Geological Survey and U.S. Environmental Protection Agency...