Bivariate distributions of group height and length for ocean waves using Copula methods

被引:34
作者
Dong, Sheng [1 ]
Wang, Nannan [1 ]
Lu, Hongmin [2 ]
Tang, Liujuan [3 ,4 ]
机构
[1] Ocean Univ China, Coll Engn, Qingdao 266100, Peoples R China
[2] Ocean Univ China, Coll Phys & Environm Oceanog, Qingdao 266100, Peoples R China
[3] Univ Washington, Joint Inst Study Atmosphere & Ocean, Seattle, WA 98105 USA
[4] NOAA, Ctr Tsunami Res, Pacific Marine Environm Lab, Seattle, WA 98115 USA
基金
中国国家自然科学基金;
关键词
Wave groups; Group height; Group length; Joint probability distribution; Clayton Copula; Numerical simulations; MAXIMUM-ENTROPY DISTRIBUTION; STATISTICAL PROPERTIES; TIME-SERIES; DEEP-WATER; PERIOD; SIMULATIONS; BREAKWATER; CLIMATE; SEA;
D O I
10.1016/j.coastaleng.2014.11.005
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
We conduct laboratory experiments and numerical simulations, and analyze field wave data to investigate the bivariate distribution of two fundamental characteristics of wave groupiness, group height and group length. All data sets show strong dependence between the two characteristics when they are relatively small; however, gradually they become independent as the values increase. Based on the above findings, we propose a new approach to construct a joint distribution of the two characteristics through the use of the bivariate Clayton Copula function. Our result demonstrates that the Clayton Copula function-based distribution provides an excellent joint distribution of group height and group length. It shows significant improvement over the traditional method based on the total probability formula and three other Copula functions. The results can lead to a better understanding of a number of coastal engineering processes, including random ocean waves and the interactions between wave groups and marine structures. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:49 / 61
页数:13
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