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Long-Term extreme wave Characteristics in the Water Adjacent to China Based on ERA5 Reanalysis Data

Journal of Ocean University of China 2024年第1期23卷 1-10页

作者： DU Wenyan ZHANG Xuri SHI Hongyuan LI Guanyu ZHOU Zhengqiao YOU Zaijin ZHANG Kuncheng School of Hydraulic Engineering Ludong UniversityYantai 264025China Center for Ports and Maritime Safety(CPMS) Dalian Maritime UniversityDalian 1160263China Nation Ocean Technology Center Tianjin 300111China Navigation Guarantee Center of South China Sea(NGCS)MOT Guangzhou Hydrographic Center Guangzhou 510320China Institute of Marine Development/Military Teaching Department School of MarxismOcean University of ChinaQingdao 266100China Yantai Kekan Marine Technology Co. Ltd.Yantai 264025China

extreme waves have a profound impact on coastal infrastructure;thus,understanding the variation law of risky analysis and disaster prevention in coastal zones is *** paper analyzed the spatiotemporal characteristics of extreme wave heights adjacent to China from 1979 to 2018 based on the ERA5 *** extreme value analysis is undertaken in eight repre-sentative points to investigate the trends in the values of 50-and 100-year wave *** show that the mean value of extreme waves is the largest in the eastern part of Taiwan Island and the smallest in the Bohai Sea from 1979 to *** the extreme wave height in the northeastern part of Taiwan Island shows a significant increase trend in the study *** analysis shows remarkable variations in the values of 50-and 100-year significant wave heights in eight *** the annual mean change,E1,E2,S1,and S2 present an increasing trend,while S3 shows a decreasing *** points for the seasonal mean change demon-strate an increasing trend in spring and winter,while other points show a decreasing trend in summer and ***,the E1 point growth rate is large in autumn,which is related to the change in typhoon intensity and the northward movement of the typhoon path.

关键词： extreme wave height NEVA wave climate ERA5 reanalysis

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Estimation of extreme Coastal wave heightsfrom Time Series of wave Data

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China Ocean Engineering 2006年第2期20卷 225-241页

作者：尤再进尹宝树 Coastal Unit NSW Department of Natural ResourcesPO Box 2185 Dangar NSW 2309 Australia Institute of Oceanology Chinese Academy of Sciences

A method is presented to extrapolate a time series of wave data to extreme wave heights. The 15-year time series of deepwater wave data collected for 34 min every hour from 1988 to 2002 in the South Pacific Ocean, Australia, is analyzed to generate a set of storm peak wave heights by use of the Peaks-Over-Threshold method. The probability distribution is calculated by grouping the observod storm peak wave heights into a number of wave height classes and assigning a probability to each wave height class. The observed probability distribution is then fitted to eight different probability distribution functions and found to be fitted best by the Weibull distribution （a = 1.17）, nearly best by the FT-Ⅰ, quite well by the exponential, and poorly by the lognormal function based on the criterion of the sum of squares of the errors, SSE （H）. The effect of the threshold wave height on the estimated extreme wave height is also studied and is found insignificant in this study. The 95 % prediction intervals of the best-fit FT-Ⅰ , exponential and Weibull functions are also derived.

关键词： measured wave data extreme wave height best-fitted distribution function

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A New Method for Determining Threshold in Using PGCEVD to Calculate Return Values of Typhoon wave height

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China Ocean Engineering 2012年第2期26卷 251-260页

作者：罗耀朱良生胡金鹏 School of Civil Engineering and Transportation South China University of Technology

In using the PGCEVD （Poisson-Gumbel Compound extreme Value Distribution） model to calculate return values of typhoon wave height, the quantitative selection of the threshold has blocked its application. By analyzing the principle of the threshold selection of PGCEVD model and in combination of the change point statistical methods, this paper proposes a new method for quantitative calculation of the threshold in PGCEVD model. Eleven samples from five engineering points in several coastal waters of Guangdong and Hainan, China, are calculated and analyzed by using PGCEVD model and the traditional Pearson type III distribution （P-III） model, respectively. By comparing the results of the two models, it is shown that the new method of selecting the optimal threshold is feasible. PGCEVD model has more stable results than that of P-III model and can be used for the return wave height in every direction.

关键词： POT Compound extreme Value Distribution Pearson type II1 mean change point extreme wave height

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Long-Period Distribution of wave heights and Its Application

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China Ocean Engineering 1995年第2期10卷 171-182页

作者： Weng Keqin Associate Professor, Hydraulic and Hydro-Power Engineering Dept., Tsinghua University, Beijing 100084

This paper reveals that the long-period statistic distribution of the characteristic heights of deep-water waves assumes the lognormal distribution. Thereafter, the largest wave-height which may occur in the service l... 详细信息

关键词： wave distribution of wave heights extreme wave height application

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