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	An efficient integrated approach for global sensitivity analysis of hydrological model parameters
	Xia J.
	2013
关键词	Global sensitivity analysis Statistical emulator DTVGM Response surface model RSMSobol' method adaptive regression splines environmental-models mathematical-models watershed model swat model uncertainty calibration simulation dimensionality identification
英文摘要	Efficient sensitivity analysis, particularly for the global sensitivity analysis (GSA) to identify the most important or sensitive parameters, is crucial for understanding complex hydrological models, e.g., distributed hydrological models. In this paper, we propose an efficient integrated approach that integrates a qualitative screening method (the Morris method) with a quantitative analysis method based on the statistical emulator (variance-based method with the response surface method, named the RSMSobol' method) to reduce the computational burden of GSA for time-consuming models. Using the Huaihe River Basin of China as a case study, the proposed approach is used to analyze the parameter sensitivity of distributed time-variant gain model (DTVGM). First, the Morris screening method is used to qualitatively identify the parameter sensitivity. Subsequently, the statistical emulator using the multivariate adaptive regression spline (MARS) method is chosen as an appropriate surrogate model to quantify the sensitivity indices of the DTVGM. The results reveal that the soil moisture parameter WM is the most sensitive of all the responses of interest. The parameters Kaw and g(1) are relatively important for the water balance coefficient (WB) and Nash-Sutcliffe coefficient (NS), while the routing parameter RoughRss is very sensitive for the Nash-Sutcliffe coefficient (NS) and correlation coefficient (RC) response of interest. The results also demonstrate that the proposed approach is much faster than the brute-force approach and is an effective and efficient method due to its low CPU cost and adequate degree of accuracy. (c) 2012 Elsevier Ltd. All rights reserved.
出处	Environmental Modelling & Software
卷	41
页	39-52
收录类别	SCI
语种	英语
ISSN号	1364-8152
内容类型	SCI/SSCI论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/30065]
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	Xia J.. An efficient integrated approach for global sensitivity analysis of hydrological model parameters. 2013.

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