| 南海灾害性波浪基本特征研究 |
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| 引用本文： | 王绿卿,夏运强,梁丙臣,王海峰,杨锦凌.南海灾害性波浪基本特征研究[J].海洋学报,2019,41(3):23-34. |
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| 作者姓名： | 王绿卿 夏运强 梁丙臣 王海峰 杨锦凌 |
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| 作者单位： | 中国海洋大学 工程学院,山东 青岛 266100;中国海洋大学 山东省海洋工程重点实验室,山东 青岛 266100;海军研究院,北京 100070;海军研究院,北京,100070;中国海洋大学 工程学院,山东 青岛 266100;中国海洋大学 山东省海洋工程重点实验室,山东 青岛 266100 |
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| 基金项目： | 国家自然科学基金（51739010，51679223） |
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| 摘 要： | 本文基于1991-2016年全球卫星高度计融合数据对南海灾害性波浪基本特征进行了分析，根据灾害性波浪诱发天气类型不同，将其分为"台风浪"和"非台风浪"。依此主线，对两类波浪在南海不同海域的特征进行了研究，并提出了用于定量研究两类波浪强度关系的台风浪权重系数（W），得到了两类波浪在南海相对强弱关系的分布规律，量化研究了南海灾害性波浪的特征。本文以卫星高度计波高数据为样本进行了极值分析，得到了南海重现期波浪要素整体分布规律，研究发现W值大小与广义极值曲线类型显著相关。
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| 关 键 词： | 南海 极值分析 卫星高度计波高数据 台风浪权重系数 灾害性波浪 |
| 收稿时间： | 2018/2/11 0:00:00 |
| 修稿时间： | 2018/5/29 0:00:00 |
Basic research on the characteristics of hazardous waves in the South China Sea |
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| Wang L&#;qing,Xia Yunqiang,Liang Bingchen,Wang Haifeng and Yang Jinling.Basic research on the characteristics of hazardous waves in the South China Sea[J].Acta Oceanologica Sinica (in Chinese),2019,41(3):23-34. |
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| Authors: | Wang L&#;qing Xia Yunqiang Liang Bingchen Wang Haifeng and Yang Jinling |
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| Institution: | 1.College of Engineering, Ocean University of China, Qingdao 266100, China;Shandong Province Key Laboratory of Ocean Engineering, Ocean University of China, Qingdao 266100, China;Navy Research Academy, Beijing 100070, China2.Navy Research Academy, Beijing 100070, China3.College of Engineering, Ocean University of China, Qingdao 266100, China;Shandong Province Key Laboratory of Ocean Engineering, Ocean University of China, Qingdao 266100, China |
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| Abstract: | Based on the global merged altimeter wave height database (1991-2016), the characteristics of hazardous waves in the South China Sea (SCS) are investigated. The hazardous waves in the SCS can be classified into typhoon waves and non-typhoon waves in accordance with the inducing weather system. In terms of this classifying standard, a factor termed as typhoon wave weight factor (W) is defined to reveal the quantitative relationship between the typhoon waves and the non-typhoon waves. In accordance with quantitative analysis of the hazardous waves, it is revealed that hazardous waves in different regional oceans are highlighted with different statistical characteristics. Based on the annual extreme waves sampled from the merged altimeter wave data, extreme value analysis is carried out to predict the return period wave height in the SCS. It is proved that there is significant correlation between the W and the types of GEV. |
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| Keywords: | South China Sea extreme value analysis satellite altimeter wave height typhoon wave weight factor hazardous waves |
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