SWAT Literature Database for Peer-Reviewed Journal Articles

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