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 |