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Parameter estimation and uncertainty analysis of SWAT model in upper reaches of the Heihe river basin

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Li, Z. , Xu, Z. , Shao, Q. , & Yang, J. . (2009). Parameter estimation and uncertainty analysis of swat model in upper reaches of the heihe river basin. Hydrological Processes, 23(19), 2744-2753.

文献信息
Type Of Reference JOUR
Title Parameter estimation and uncertainty analysis of SWAT model in upper reaches of the Heihe river basin
Authors Li, Zhanling| Xu, Zongxue| Shao, Quanxi| Yang, Jing|
Secondary Title Hydrological Processes
Abstract Heihe river basin, the second largest inland river basin in China, has attracted more attention in China due to the ever increasing water resources and eco-environmental problems. In this article, SWAT (Soil and Water Assessment Tool; http://www.brc.tamus.edu/swat/) model was applied to upper reaches of the basin for better understanding of the hydrological process over the watershed. Parameter uncertainty and its contribution on model simulation are the main foci. In model calibration, the aggregate parameters instead of the original parameters in SWAT model were used to reduce the computing effort. The Bayesian approach was employed for parameter estimation and uncertainty analysis because its posterior distribution provides not only parameter estimation but also uncertainty analysis without normality assumption. The results indicated that: (1) SWAT model performs satisfactorily in this watershed as a whole, although some low and high flows were under- or overestimated, particularly in dry (e.g. 1991) and wet (e.g. 1996) years; (2) all calibrated parameters were not normally distributed (essentially positively or negatively skewed) and the parameter uncertainties were relatively small; and (3) the contributions of parameter uncertainty on model simulation uncertainty were relatively small. Copyright © 2009 John Wiley & Sons, Ltd.
Date 2009///
Year 2009
DOI 10.1002/hyp.7371
Database Provider Wiley Online Library
volume 23
Issue Number 19
Start Page 2744
Language en
Issn 1099-1085
Url http://onlinelibrary.wiley.com/doi/10.1002/hyp.7371/abstract
Access Date 2013/11/15/03:38:18
Keywords aggregate parameter| Bayesian method| parameter uncertainty| simulation uncertainty|
file_attachments2 http://onlinelibrary.wiley.com/doi/10.1002/hyp.7371/full
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