Study on evaluation standard of uncertainty of design wave height calculation model

被引:0
|
作者
Baiyu Chen
Yi Kou
Fang Wu
Liping Wang
Guilin Liu
机构
[1] University of California Berkeley,College of Engineering
[2] University of Southern California,Dornsife College
[3] University of California Santa Barbara,Statistics and Applied Probability
[4] Ocean University of China,School of Mathematical Sciences
[5] Ocean University of China,College of Engineering
来源
Journal of Oceanology and Limnology | 2021年 / 39卷
关键词
uncertainty; information entropy; extreme value distribution model;
D O I
暂无
中图分类号
学科分类号
摘要
The accurate calculation of marine environmental design parameters depends on the probability distribution model, and the calculation results of different distribution models are often different. It is very important to determine which distribution model is more stable and reasonable when extrapolating the recurrence level of the studied sea area. In this paper, we constructed an evaluation method of the overall uncertainty of the calculation results and a measurement of the uncertainty of the design parameters derivation model, by incorporating the influence of sample information on the model information entropy, such as sample size, degree of dispersion, and sampling error. Results show that the sample data size and the degree of dispersion are directly proportional to the information entropy. Within the same group of data, the maximum entropy distribution model has the lowest overall uncertainty, while the Gumbel distribution model has the largest overall uncertainty. In other words, the maximum entropy distribution model has good applicability in the accurate calculation of marine environmental design parameters.
引用
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页码:1188 / 1197
页数:9
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