| Title: | Long-term streamflow forecasting for the Cascade Reservoir System of Han River using SWAT with CFS output |
| Authors: | Liu, T., Y. Chen, B. Li, Y. Hu and H. Qui |
| Year: | 2019 |
| Journal: | Hydrology Research |
| Volume (Issue): | 50(2) |
| Pages: | 655 |
| Article ID: | |
| DOI: | 10.2166/nh.2018.114 |
| URL (non-DOI journals): | |
| Model: | SWAT |
| Broad Application Category: | hydrologic only |
| Primary Application Category: | climate data effects |
| Secondary Application Category: | hydrologic assessment |
| Watershed Description: | 159,000 km^2 Han River, a tributary of the Yangtze River located in central China. |
| Calibration Summary: | |
| Validation Summary: | |
| General Comments: | |
| Language: | English |
| Keywords: | Cascade Reservoir System of Han River, CFS post-processing, long-term monthly
streamflow forecasting, machine learning algorithms, SWAT |