Extreme values of storm surge elevation in Hangzhou Bay

被引:14
|
作者
Liu, Guilin [1 ]
Gao, Zhikang [1 ]
Chen, Baiyu [2 ]
Fu, Hanliang [3 ,4 ]
Jiang, Song [3 ]
Wang, Liping [5 ]
Wang, Ge [6 ]
Chen, Zhengshou [7 ]
机构
[1] Ocean Univ China, Coll Engn, Qingdao, Shandong, Peoples R China
[2] Univ Calif Berkeley, Coll Engn, Berkeley, CA 94720 USA
[3] Xian Univ Architecture & Technol, Sch Management, Xian, Shaanxi, Peoples R China
[4] Illinois State Univ, Coll Appl Sci & Technol, Dept Technol, Bloomington, IN USA
[5] Ocean Univ China, Sch Math Sci, Qingdao, Shandong, Peoples R China
[6] Jiangsu Univ Sci & Technol, Zhenjiang, Jiangsu, Peoples R China
[7] Zhejiang Ocean Univ, Zhoushan, Peoples R China
基金
中国国家自然科学基金;
关键词
Extreme value theory; storm surge elevation; threshold; Pearson-III-Pareto distribution; WAVE HEIGHT; CHINA; MODEL;
D O I
10.1080/17445302.2019.1661618
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
This paper presents a statistical analysis of storm surge in Hangzhou Bay, where storm surge is known taking place frequently. This study utilises measurement data taken the period of 1974-2006. The Pearson-III-Pareto distribution model was used first to fit with extreme values based on these measurement data and was then compared with Gumbel, Weibull, Pearson-III, Pareto distribution functions for estimations of extreme storm surge values correspondingly to 100-, 200-, 400-, 500-, 700- and 1000-year return periods. The predicted values of storm surge elevation in the 1000-year return period of the new model are 2.179% higher than the Weibull distribution and 3.546% lower than the Pearson-III distribution. Expectedly, the proposed Pearson-III-Pareto distribution is a more reasonable for presenting the statistical characteristic of extreme values of storm surge.
引用
收藏
页码:431 / 442
页数:12
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