Long-Term Prediction of Significant Wave Height Based on SARIMA Model in the South China Sea and Adjacent Waters

被引:15
|
作者
Yang, Shaobo [1 ,2 ,3 ]
Zhang, Zhenquan [1 ]
Fan, Linlin [1 ]
Xia, Tianliang [1 ]
Duan, Shanhua [1 ]
Zheng, Chongwei [4 ,5 ]
Li, Xingfei [1 ,2 ,3 ]
Li, Hongyu [2 ,6 ]
机构
[1] Tianjin Univ, State Key Lab Precis Measuring Technol & Instrume, Tianjin 300072, Peoples R China
[2] Pilot Natl Lab Marine Sci & Technol, Qingdao 266237, Shandong, Peoples R China
[3] Tianjin Univ, Qingdao Inst Ocean Technol, Qingdao 266200, Shandong, Peoples R China
[4] State Key Lab Estuarine & Coastal Res, Shanghai 200241, Peoples R China
[5] Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Numer Modeling Atmospher Sci & Geop, Beijing 100029, Peoples R China
[6] Shandong Univ Sci & Technol, Sch Mech & Elect Engn, Qingdao 266590, Shandong, Peoples R China
来源
IEEE ACCESS | 2019年 / 7卷
基金
中国国家自然科学基金;
关键词
SARIMA; long-term prediction; significant wave height (SWH); WIND-SPEED; WAVEWATCH-III; ENERGY; ALGORITHM;
D O I
10.1109/ACCESS.2019.2925107
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Nowadays, the world is facing the dual crisis of the energy and environment, and renewable energy, such as wave energy, can contribute to the improvement of the energy structure of the world, enhance energy supply and improve the environment in the framework of sustainable development. Longterm prediction of the significant wave height (SWH) is indispensable in SWH-related engineering studies and is exceedingly important in the assessment of wave energy in the future. In this paper, the spatial and temporal characteristics of wave energy in the South China Sea (SCS), and adjacent waters are analyzed. The results show that there are abundant wave energy resources in the waters around the Taiwan Strait, the Luzon Strait, and the north part of the SCS with annual average SWH (SWH) of over 1.4 m and obvious increasing trend. Then, the SARIMA approach considers the relationship between the current time and the values, residuals at some previous time and the periodicity of the SWH series are proposed to forecast the SWH in the SCS and adjacent waters. The results obtained are promising, showing good performance of the prediction of monthly average SWH in the SCS and adjacent waters.
引用
收藏
页码:88082 / 88092
页数:11
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