Title: | Long-term streamflow forecasting using SWAT through the integration of the random forests precipitation generator: Case study of Danjiangkou Reservoir |
Authors: | Liang, Z., T. Tang, B. Li, T. Liu, J. Wang and Y. Hu |
Year: | 2018 |
Journal: | Hydrology Research |
Volume (Issue): | 49(2) |
Pages: | 1513-1527 |
Article ID: | |
DOI: | 10.2166/nh.2017.085 |
URL (non-DOI journals): | |
Model: | SWAT |
Broad Application Category: | hydrologic only |
Primary Application Category: | climate data effects |
Secondary Application Category: | calibration, sensitivity, and/or uncertainty analysis |
Watershed Description: | 95,217 km^2 Danjiangkou Reservoir drainage area, a tributary of the Han River (and overall Yangtze River system) located in central China. |
Calibration Summary: | |
Validation Summary: | |
General Comments: | |
Language: | English |
Keywords: | Danjiangkou reservoir basin, hydrological similarity principle, long-term streamflow
forecasting, random forests, SAR (P) model, SWAT |