| Title: | Comparison of process-based and artificial neural network approaches for streamflow modeling in an agricultural watershed |
| Authors: | Srivastava, P., J.N. McNair and T.E. Johnson |
| Year: | 2006 |
| Journal: | Journal of the American Water Resources Association |
| Volume (Issue): | 42(3) |
| Pages: | 545-563 |
| Article ID: | |
| DOI: | 10.1111/j.1752-1688.2006.tb04475.x |
| URL (non-DOI journals): | |
| Model: | SWAT |
| Broad Application Category: | hydrologic only |
| Primary Application Category: | model and/or data comparison |
| Secondary Application Category: | hydrologic assessment |
| Watershed Description: | 47.6 km^2 West Fork Brandywine Creek, which drains portions of Chester and Lancaster Counties which are located in the Piedmont Upland physiographic province in Pennsylvania, U.S. |
| Calibration Summary: | monthly base flow r2/NSE (July 1994-Dec 1997): =0.51/-0.16; monthly surface flow r2/NSE (July 1994-Dec 1997): =0.38/0.20; monthly total flow r2/NSE (July 1994-Dec 1997): =0.57/0.54 |
| Validation Summary: | monthly base flow r2/NSE (July 1994-Dec 1997): =0.29/-1.2; monthly surface flow r2/NSE (July 1994-Dec 1997): =0.39/-0.35; monthly total flow r2/NSE (July 1994-Dec 1997): =0.34/-0.17 |
| General Comments: | |
| Language: | English |
| Keywords: | surface water hydrology; models; Soil and Water Assessment Tool (SWAT); streamflow; runoff; base flow |