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DOI: 10.1371/journal.pone.0143965
论文题名:
Generalized Exponential Distribution in Flood Frequency Analysis for Polish Rivers
作者: Iwona Markiewicz; Witold G. Strupczewski; Ewa Bogdanowicz; Krzysztof Kochanek
刊名: PLOS ONE
ISSN: 1932-6203
出版年: 2015
发表日期: 2015-12-10
卷: 10, 期:12
语种: 英语
英文关键词: Probability distribution ; Flooding ; Statistical distributions ; Skewness ; Test statistics ; Probability density ; Normal distribution ; Random variables
英文摘要: Many distributions have been used in flood frequency analysis (FFA) for fitting the flood extremes data. However, as shown in the paper, the scatter of Polish data plotted on the moment ratio diagram shows that there is still room for a new model. In the paper, we study the usefulness of the generalized exponential (GE) distribution in flood frequency analysis for Polish Rivers. We investigate the fit of GE distribution to the Polish data of the maximum flows in comparison with the inverse Gaussian (IG) distribution, which in our previous studies showed the best fitting among several models commonly used in FFA. Since the use of a discrimination procedure without the knowledge of its performance for the considered probability density functions may lead to erroneous conclusions, we compare the probability of correct selection for the GE and IG distributions along with the analysis of the asymptotic model error in respect to the upper quantile values. As an application, both GE and IG distributions are alternatively assumed for describing the annual peak flows for several gauging stations of Polish Rivers. To find the best fitting model, four discrimination procedures are used. In turn, they are based on the maximized logarithm of the likelihood function (K procedure), on the density function of the scale transformation maximal invariant (QK procedure), on the Kolmogorov-Smirnov statistics (KS procedure) and the fourth procedure based on the differences between the ML estimate of 1% quantile and its value assessed by the method of moments and linear moments, in sequence (R procedure). Due to the uncertainty of choosing the best model, the method of aggregation is applied to estimate of the maximum flow quantiles.
URL: http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0143965&type=printable
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/22117
Appears in Collections:过去全球变化的重建
影响、适应和脆弱性
科学计划与规划
气候变化与战略
全球变化的国际研究计划
气候减缓与适应
气候变化事实与影响

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作者单位: Department of Hydrology and Hydrodynamics, Institute of Geophysics Polish Academy of Sciences, Warsaw, Poland;Department of Hydrology and Hydrodynamics, Institute of Geophysics Polish Academy of Sciences, Warsaw, Poland;CHIHE Norway Grants, Institute of Geophysics Polish Academy of Sciences, Warsaw, Poland;Department of Hydrology and Hydrodynamics, Institute of Geophysics Polish Academy of Sciences, Warsaw, Poland

Recommended Citation:
Iwona Markiewicz,Witold G. Strupczewski,Ewa Bogdanowicz,et al. Generalized Exponential Distribution in Flood Frequency Analysis for Polish Rivers[J]. PLOS ONE,2015-01-01,10(12)
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