| Title: | Comparison of physics-based and data-driven models for streamflow simulation of the Mekong river |
| Authors: | Lee, G., S. Jung and D. Lee |
| Year: | 2018 |
| Journal: | Journal of Korea Water Resources Association |
| Volume (Issue): | 51(6) |
| Pages: | 503-514 |
| Article ID: | |
| DOI: | 10.3741/JKWRA.2018.51.6.503 |
| URL (non-DOI journals): | |
| Model: | SWAT |
| Broad Application Category: | hydrologic only |
| Primary Application Category: | model and/or data comparison |
| Secondary Application Category: | climate data effects |
| Watershed Description: | Mekong River, which drains parts of several countries in Southeast Asia |
| Calibration Summary: | |
| Validation Summary: | |
| General Comments: | |
| Language: | Korean |
| Keywords: | Deep learning algorithm, LSTM, Mekong river, Physics-based model, SWAT |