| Title: | Artificial neural network models of watershed nutrient loading |
| Authors: | Kim, R.J., D.P. Loucks and J.R. Stedinger |
| Year: | 2012 |
| Journal: | Water Resources Management |
| Volume (Issue): | 26(10) |
| Pages: | 2781-2797 |
| Article ID: | |
| DOI: | 10.1007/s11269-012-0045-x |
| URL (non-DOI journals): | |
| Model: | SWAT |
| Broad Application Category: | pollutant only |
| Primary Application Category: | model comparison |
| Secondary Application Category: | pollutant cycling/loss and transport |
| Watershed Description: | 850 km^2 Branch Delaware River (also known as Cannonsville Reservoir) in southeast New York, U.S. |
| Calibration Summary: | |
| Validation Summary: | |
| General Comments: | |
| Language: | English |
| Keywords: | Artificial Neural Networks, Feed-forward network, Watershed model, Runoff, GWLF, SWAT, West Basin Delaware River watershed |