کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6411786 1629927 2015 19 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Review PaperGlobal sensitivity analysis in hydrological modeling: Review of concepts, methods, theoretical framework, and applications
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات فرآیندهای سطح زمین
پیش نمایش صفحه اول مقاله
Review PaperGlobal sensitivity analysis in hydrological modeling: Review of concepts, methods, theoretical framework, and applications
چکیده انگلیسی


- We reviewed global sensitivity analysis methods for hydrological modeling.
- We examine categories, methods, applications, and limitations for SA.
- We discuss main topics related to SA in hydrological modeling.
- We outline new possible research avenues for global SA in hydrological models.

SummarySensitivity 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.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Hydrology - Volume 523, April 2015, Pages 739-757
نویسندگان
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