Sensitivity analysis of hydrological model parameters using a statistical theory approach

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	Sensitivity analysis of hydrological model parameters using a statistical theory approach
	Zhan Che-Sheng
	2012
关键词	Sensitivity analysis Surface properties Uncertainty analysis
英文摘要	The sensitivity analysis is a key step in model uncertainty quantification. And it can identify the dominant parameters, reduce the model uncertainty, and enhance the model optimization efficiency. In order to make quantitative global sensitivity analysis (GSA) more tractable, the Morris screening method is used to qualitatively assess a model first. Then, the response surface methodology (RSM) based on the statistical theory will be applied to construct a surrogate model, and to integrate with the variance-based Sobol' method to establishing a new method, named as the RSMSobol method. The new method is tested on the Yanduhe basin using the Xin'anjiang model with daily precipitation data and hydrographs. The sensitivity analysis is conducted for four different objective functions. The results demonstrate that the new integrated qualitative and quantitative method can improve the efficiency of the sensitivity analysis, in which the Morris qualitative method can decrease the number of parameters by 50% for the next round of the quantitative analysis. The RSMSobol method can improve the computational cost.
出处	Shuikexue Jinzhan/Advances in Water Science
卷	23 期:5 页:642-649
收录类别	EI
语种	英语
内容类型	EI期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/27674]
专题	地理科学与资源研究所_历年回溯文献
推荐引用方式 GB/T 7714	Zhan Che-Sheng. Sensitivity analysis of hydrological model parameters using a statistical theory approach. 2012.