Optimization of flood frequency distribution parameter estimation method based on TL-moments

被引：0
|
作者：
Jia Y. [1 ,2 ]
Song S. [1 ,2 ]
机构：
[1] College of Water Resources and Architectural Engineering, Northwest A and F University, Yangling
[2] Key Laboratory for Agricultural Soil and Water Engineering in Arid Area of Ministry of Education, Northwest A and F University, Yangling
来源：
Water Resources Protection | 2021年 / 37卷 / 06期
关键词：
Frequency analysis of flood; L-moments method; Maximum likelihood method; Parameter estimation; TL-moments method;
D O I：
10.3880/j.issn.1004-6933.2021.06.006
中图分类号：
学科分类号：
摘要：
To study the universality of applying TL-moments method to flood frequency distribution analysis, we took the annual maximum stream flow series at six stations in Shenmu, Suide, Xinghe, Liujiahe, Huangling and Zhidan in northern Shaanxi Province as examples, and selected generalized Pareto distribution, generalized extreme value distribution and generalized Logistic distribution to evaluate the fitting effect of the 3 parameter estimation methods, namely L-moments method, maximum likelihood method and TL-moments method. The results show that, while Xinghe station’s annual maximum stream flow series are better described with generalized extreme value distribution, generalized Pareto distribution fits the flow series of the other five stations more accurately. Compared with L-moments method and maximum likelihood method, TL-moments method shows a better fitting effect at each station, which is a better way to estimate the distribution parameters of flood frequency. © 2021, Editorial Board of Water Resources Protection. All rights reserved.
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页码：34 / 39
页数：5
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