Generalized Extreme Value-Pareto Distribution Function and Its Applications in Ocean Engineering

被引：16

作者：

Chen, Bai-yu ^{[1
]}

Zhang, Kuang-yuan ^{[2
]}

Wang, Li-ping ^{[3
]}

Jiang, Song ^{[4
]}

Liu, Gui-lin ^{[5
]}

机构：

[1] Univ Calif Berkeley, Coll Engn, Berkeley, CA 94720 USA

[2] Penn State Univ, Dept Energy & Min Engn, University Pk, PA 16802 USA

[3] Ocean Univ China, Sch Math Sci, Qingdao 266100, Shandong, Peoples R China

[4] Xian Univ Architecture & Technol, Sch Management, Xian 710055, Shaanxi, Peoples R China

[5] Ocean Univ China, Coll Engn, Qingdao 266100, Shandong, Peoples R China

来源：

CHINA OCEAN ENGINEERING | 2019年 / 33卷 / 02期

关键词：

fractal; Pareto distribution; design wave height; WAVE HEIGHT;

D O I：

10.1007/s13344-019-0013-9

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

In this paper, we establish a generalized extreme Value-Pareto distribution model and derive an analytical expression of Weibull-Pareto distribution model. Based on a data sample of 26-year wave height, we adopt the new model to estimate the design wave height for 500, 700 and 1000-year return periods. Results show that the design wave height from Weibull-Pareto distribution is between that of the Weibull distribution and that of the Pearson-III distribution. For the 500-year return period design wave height, the results from the new model is 1.601% lower than those from the Weibull distribution and 1.319% higher than those from the Pearson-III distribution. The Weibull-Pareto distribution innovatively considers the fractal features, extreme-value statistics and the truncated data in the derivation process. Therefore, it is a more holistic and practical model for estimating the design parameters in marine and coastal environments.

引用

页码：127 / 136

页数：10

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