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Global sensitivity analysis in hydrological modeling: Review of concepts, methods, theoretical framework, and applications
Song X. M.; Zhang, J. Y.; Zhan, C. S.; Xuan, Y. Q.; Ye, M.; Xu, C. G.
Source PublicationJournal of Hydrology
2015
Volume523
Pages739-757
KeywordGlobal Method Hydrological Model Parameter Optimization Sensitivity Analysis Uncertainty Analysis Complex Environmental-model Distributed Watershed Models Artificial Neural-network Groundwater-flow System Rainfall-runoff Models Uncertainty Analysis Parameter Sensitivity Morris Method Identifiability Analysis Correlated Parameters
AbstractSensitivity analysis (SA) aims to identify the key parameters that affect model performance and it plays important roles in model parameterization, calibration, optimization, and uncertainty quantification. However, the increasing complexity of hydrological models means that a large number of parameters need to be estimated. To better understand how these complex models work, efficient SA methods should be applied before the application of hydrological modeling. This study provides a comprehensive review of global SA methods in the field of hydrological modeling. The common definitions of SA and the typical categories of SA methods are described. A wide variety of global SA methods have been introduced to provide a more efficient evaluation framework for hydrological modeling. We review, analyze, and categorize research into global SA methods and their applications, with an emphasis on the research accomplished in the hydrological modeling field. The advantages and disadvantages are also discussed and summarized. An application framework and the typical practical steps involved in SA for hydrological modeling are outlined. Further discussions cover several important and often overlooked topics, including the relationship between parameter identification, uncertainty analysis, and optimization in hydrological modeling, how to deal with correlated parameters, and time-varying SA. Finally, some conclusions and guidance recommendations on SA in hydrological modeling are provided, as well as a list of important future research directions that may facilitate more robust analyses when assessing hydrological modeling performance. (C) 2015 Elsevier B.V. All rights reserved.
Indexed BySCI
Language英语
ISSN0022-1694
DOI10.1016/j.jhydrol.2015.02.013
Citation statistics
Document TypeSCI/SSCI论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/38845
Collection历年回溯文献
Recommended Citation
GB/T 7714
Song X. M.,Zhang, J. Y.,Zhan, C. S.,et al. Global sensitivity analysis in hydrological modeling: Review of concepts, methods, theoretical framework, and applications. 2015.
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