| Title: | Coupling machine-learning techniques with SWAT model for instantaneous peak flow prediction |
| Authors: | Senent-Aparicio, J., P. Jimeno-Sáez, A. Bueno-Crespo, J. Pérez-Sánchez and D. Pulido-Velázquez |
| Year: | 2019 |
| Journal: | Biosystems Engineering |
| Volume (Issue): | 177 |
| Pages: | 67-77 |
| Article ID: | |
| DOI: | 10.1016/j.biosystemseng.2018.04.022 |
| URL (non-DOI journals): | |
| Model: | SWAT |
| Broad Application Category: | hydrologic only |
| Primary Application Category: | model and/or data interface |
| Secondary Application Category: | flood impacts or conveyances |
| Watershed Description: | 843 km^2 Ladra River, which drains a portion of the Mino-sol water district in northwest Spain. |
| Calibration Summary: | |
| Validation Summary: | |
| General Comments: | |
| Language: | English |
| Keywords: | Hydraulic design; Ladra river; Instantaneous peak flow; Machine learning; SWAT |