Bivariate maximum entropy distribution of significant wave height and peak period

被引:55
作者
Dong, Sheng [1 ,2 ]
Wang, Nannan [1 ]
Liu, Wei [1 ,2 ]
Guedes Soares, C. [2 ]
机构
[1] Ocean Univ China, Coll Engn, 238 Songling Rd, Qingdao 266100, Peoples R China
[2] Univ Tecn Lisboa, Inst Super Tecn, Ctr Marine Technol & Engn, CENTEC, P-1049001 Lisbon, Portugal
基金
中国国家自然科学基金;
关键词
Bivariate model; Maximum entropy distribution; Significant wave height; Peak period; Bivariate normal distribution; Long term wave data; TIME-SERIES; HYPOTHESIS; CLIMATE; DESIGN;
D O I
10.1016/j.oceaneng.2012.12.002
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
A bivariate maximum entropy distribution of significant wave heights and the corresponding peak periods is proposed. Two approaches are used to construct the bivariate maximum entropy distribution, the first of which is to adjust equivalent normal bivariate distributions to data transformed from the univariate maximum entropy distributions of wave height and period. The other method is the conditional approach of adjusting one maximum entropy marginal distribution to wave height and several log-normal distributions to the wave periods conditional on the wave height. The bivariate maximum entropy distribution is compared with other bivariate approaches using data from one location in the North Atlantic and a simulated sample by Monte Carlo method. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:86 / 99
页数:14
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