globalchange  > 气候变化事实与影响
DOI: 10.5194/hess-21-1651-2017
Scopus记录号: 2-s2.0-85016069436
论文题名:
Heterogeneity measures in hydrological frequency analysis: Review and new developments
作者: Requena A; I; , Chebana F; , Ouarda T; B; M; J
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2017
卷: 21, 期:3
起始页码: 1651
结束页码: 1668
语种: 英语
Scopus关键词: Financial data processing ; Floods ; Intelligent systems ; Probability distributions ; Confidence interval ; Homogeneous regions ; Hydrological frequency analysis ; Index floods ; Negative values ; Region size ; Ungauged sites ; Variation coefficient ; Monte Carlo methods ; confidence interval ; heterogeneity ; homogeneity ; literature review ; Monte Carlo analysis ; numerical method ; probability
英文摘要: Some regional procedures to estimate hydrological quantiles at ungauged sites, such as the index-flood method, require the delineation of homogeneous regions as a basic step for their application. The homogeneity of these delineated regions is usually tested providing a yes/no decision. However, complementary measures that are able to quantify the degree of heterogeneity of a region are needed to compare regions, evaluate the impact of particular sites, and rank the performance of different delineating methods. Well-known existing heterogeneity measures are not well-defined for ranking regions, as they entail drawbacks such as assuming a given probability distribution, providing negative values and being affected by the region size. Therefore, a framework for defining and assessing desirable properties of a heterogeneity measure in the regional hydrological context is needed. In the present study, such a framework is proposed through a four-step procedure based on Monte Carlo simulations. Several heterogeneity measures, some of which commonly known and others which are derived from recent approaches or adapted from other fields, are presented and developed to be assessed. The assumption-free Gini index applied on the at-site L-variation coefficient (L-CV) over a region led to the best results. The measure of the percentage of sites for which the regional L-CV is outside the confidence interval of the at-site L-CV is also found to be relevant, as it leads to more stable results regardless of the regional L-CV value. An illustrative application is also presented for didactical purposes, through which the subjectivity of commonly used criteria to assess the performance of different delineation methods is underlined. © Author(s) 2017. CC Attribution 3.0 License.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79218
Appears in Collections:气候变化事实与影响

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作者单位: Institut National de la Recherche Scientifique (INRS), Centre EAU Terre Environnement (ETE)QC, Canada; Institute Center for Water and Environment (IWATER), Masdar Institute of Science and Technology, P.O. Box 54224, Abu Dhabi, United Arab Emirates

Recommended Citation:
Requena A,I,, Chebana F,et al. Heterogeneity measures in hydrological frequency analysis: Review and new developments[J]. Hydrology and Earth System Sciences,2017-01-01,21(3)
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