Title: | Markov Chain Monte Carlo (MCMC) uncertainty analysis for watershed water quality modeling and management |
Authors: | Zheng, Y. and F. Han |
Year: | 2016 |
Journal: | Stochastic Environmental Research and Risk Assessment |
Volume (Issue): | 30(1) |
Pages: | 293-308 |
Article ID: | |
DOI: | 10.1007/s00477-015-1091-8 |
URL (non-DOI journals): | |
Model: | SWAT |
Broad Application Category: | hydrologic and pollutant |
Primary Application Category: | calibration, sensitivity, and/or uncertainty analysis |
Secondary Application Category: | nitrogen cycling/loss and transport |
Watershed Description: | 400 km^2 Newport Bay drainage area, located in Orange County, California, U.S. |
Calibration Summary: | |
Validation Summary: | |
General Comments: | |
Language: | English |
Keywords: | Markov Chain Monte Carlo; Uncertainty analysis; Water quality modeling; DREAM; SWAT; Nonpoint source pollution |