Research Article
Flood Simulation in South Carolina Watersheds Using Different Precipitation Inputs
Table 5
Model performance in the Waccamaw watershed.
| | Precipitation input | Subbasin 1 | Subbasin 2 | NSE | p-bias | RMSE | R2 | NSE | p-bias | RMSE | R2 |
| Calibration (02/03/2016 00:00 to 02/15/2016 23:00) | RD | 0.987 | 1.257 | 233.398 | 0.988 | 0.888 | 13.403 | 154.152 | 0.918 | ST | 0.970 | 1.568 | 361.065 | 0.975 | 0.882 | 20.411 | 158.550 | 0.924 | ST-PRISM | 0.982 | 0.575 | 277.139 | 0.983 | 0.881 | 13.136 | 159.281 | 0.910 |
| Testing 1 (10/02/2015 12:00 to 10/11/2015 23:00) | RD | 0.962 | 1.638 | 637.288 | 0.987 | 0.252 | −45.261 | 935.987 | 0.918 | ST | 0.877 | 8.003 | 1145.282 | 0.931 | −0.653 | −67.806 | 1391.661 | 0.830 | ST-PRISM | 0.924 | 8.290 | 902.166 | 0.972 | 0.559 | −36.076 | 719.125 | 0.937 |
| Testing 2 (09/14/1999 00:00 to 09/25/1999 23:00) | ST | 0.939 | 7.613 | 2635.977 | 0.956 | | | | | ST-PRISM | 0.711 | 20.925 | 5763.335 | 0.858 | | | | |
|
|