SWAT Literature Database for Peer-Reviewed Journal Articles

Title:Quantifying the uncertainty of nonpoint source attribution in distributed water quality models: A Bayesian assessment of SWAT's sediment export predictions 
Authors:Wellen, C. G.B. Arhonditsis, T. Long and D. Boyd 
Year:2014 
Journal:Journal of Hydrology 
Volume:519(Part D) 
Pages:3353–3368 
Article ID: 
DOI:10.1016/j.jhydrol.2014.10.007 
URL (non-DOI journals): 
Model:SWAT 
Broad Application Category:hydrologic & pollutant 
Primary Application Category:calibration, sensitivity, and/or uncertainty analysis 
Secondary Application Category:sediment loss and transport 
Watershed Description:63 km^2 Redhill Creek and km^2 Grindstone Creek, both located in southern Ontario, Canada 
Calibration Summary: 
Validation Summary: 
General Comments: 
Language:English 
Keywords:SWAT model, Bayesian inference, Bayesian model averaging, Extreme events, Hamilton Harbour, Water quality