| Title: | Comparison of soil and water assessment tool (SWAT) and multilayer perceptron (MLP) artificial neural network for predicting sediment yield in the Nagwa agricultural watershed in Jharkhand, India |
| Authors: | Singh, A., M. Imtiyaz, R.K. Isaac and D.M. Denis |
| Year: | 2012 |
| Journal: | Agricultural Water Management |
| Volume (Issue): | 104 |
| Pages: | 113-120 |
| Article ID: | |
| DOI: | 10.1016/j.agwat.2011.12.005 |
| URL (non-DOI journals): | |
| Model: | SWAT |
| Broad Application Category: | pollutant only |
| Primary Application Category: | model and/or data comparison |
| Secondary Application Category: | sediment loss and transport |
| Watershed Description: | 92.46 km^2 Nagwa in northeast India |
| Calibration Summary: | |
| Validation Summary: | |
| General Comments: | |
| Language: | English |
| Keywords: | Hydrologic model, Water resources, Watershed hydrology, Measured sediment yield, Model calibration, Model validation |