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 |