Homogeneity testing: How homogeneous do heterogeneous cross-correlated regions seem?

被引:70
作者
Castellarin, A. [1 ]
Burn, D. H. [2 ]
Brath, A. [1 ]
机构
[1] Univ Bologna, Sch Civil Engn, DISTART, I-40136 Bologna, Italy
[2] Univ Waterloo, Dept Civil & Environm Engn, Waterloo, ON N2L 3G1, Canada
关键词
regional flood frequency analysis; probability weighted moments (PWM); L-moments; variance of sample estimators; Hosking and Wallis heterogeneity test;
D O I
10.1016/j.jhydrol.2008.07.014
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The homogeneity of the flood frequency regime for a given pooling-group of sites is a fundamental assumption for many regional flood frequency analysis techniques. Assessing regional homogeneity is a critical step, which may be complicated by the presence of cross - correlation among flood sequences. The scientific literature proposes a number of statistical homogeneity tests and documents that inter-site correlation of floods is normally not negligible, but does not specifically address the impact of cross-correlation on such statistical tests. This paper analyzes the effectiveness of a well-known homogeneity test proposed in the scientific literature in the presence of inter-site cross-correlation through a series of Monte Carlo experiments. The numerical experiments enable us to comment on a possible theoretical correction for the test and to identify an empirical tool that accounts for the impact of inter-site cross-correlation of floods. (C) 2008 Elsevier B.V. All rights reserved.
引用
收藏
页码:67 / 76
页数:10
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