SWAT Literature Database for Peer-Reviewed Journal Articles

Title:A global sensitivity analysis approach for identifying critical sources of uncertainty in non-identifiable, spatially distributed environmental models: A holistic analysis applied to SWAT for input datasets and model parameters 
Authors:Koo, H., M. Chen, A.J. Jakeman and F. Zhang 
Year:2020 
Journal:Environmental Modelling & Software 
Volume (Issue):127 
Pages: 
Article ID:104676 
DOI:10.1016/j.envsoft.2020.104676 
URL (non-DOI journals): 
Model:SWAT 
Broad Application Category:hydrologic & pollutant 
Primary Application Category:calibration, sensitivity, and/or uncertainty analysis 
Secondary Application Category:nitrogen cycling/loss and transport 
Watershed Description:12,893 km^2 Minjiang River, a tributary of the Upper Yangtze River located in central China. 
Calibration Summary: 
Validation Summary: 
General Comments: 
Language:English 
Keywords:Uncertainty, Sensitivity analysis, Water quality, SWAT, Watershed delineation, Hydrological response unit, Identifiability