| Title: | Integrated environmental modeling for efficient aquifer vulnerability assessment using machine learning |
| Authors: | Jang, W.S., B. Engel and C.M. Yeum |
| Year: | 2020 |
| Journal: | Environmental Modelling & Software |
| Volume (Issue): | 129 |
| Pages: | |
| Article ID: | 104602 |
| DOI: | 10.1016/j.envsoft.2019.104602 |
| URL (non-DOI journals): | |
| Model: | SWAT |
| Broad Application Category: | hydrologic and pollutant |
| Primary Application Category: | model and/or data interface |
| Secondary Application Category: | groundwater and/or soil water impacts |
| Watershed Description: | 6,944 km^2 Upper White River, which drains parts of central and east central Indiana, U.S. |
| Calibration Summary: | |
| Validation Summary: | |
| General Comments: | |
| Language: | English |
| Keywords: | Geo-ANN; Groundwater protection; Integrated aquifer vulnerability assessment; Nitrate contamination; SWAT |