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 (Issue): | 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 and pollutant |
Primary Application Category: | sediment loss and transport |
Secondary Application Category: | calibration, sensitivity, and/or uncertainty analysis |
Watershed Description: | 63 km^2 Redhill Creek and 87 km^2 Grindstone Creek, located in the drainage area of Hamilton Harbour that is part of the western end of Lake Ontario, 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 |