Variation of the wave energy and significant wave height in the China Sea and adjacent waters

被引:132
|
作者
Zheng, Chong Wei [1 ,2 ,3 ]
Li, Chong Yin [1 ,2 ]
机构
[1] Peoples Liberat Army Univ Sci & Technol, Coll Meteorol & Oceanog, Nanjing 211101, Jiangsu, Peoples R China
[2] Chinese Acad Sci, Inst Atmospher Phys, Natl Key Lab Numer Modeling Atmospher Sci & Geoph, Beijing 100029, Peoples R China
[3] Dalian Naval Acad, Dalian 116018, Peoples R China
来源
关键词
China Sea; Wave power; Significant wave height; Long term trend; Regional difference; seasonal difference; Dominant season; WIND ENERGY; RESOURCES; SPEED;
D O I
10.1016/j.rser.2014.11.001
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Given the current background of ongoing environmental and resource issues, the increased exploitation of clean and renewable energy could help to alleviate the energy crisis, as well as contributing to emissions reduction and environmental protection, and so promote future sustainable development. This study explores to reveal the climatic long term trends of the China Sea wave power and significant wave height (SWH) for the period 1988-2011, using a WAVEWATCH-III (WW3) hindcast wave data. The regional difference and seasonal difference of the variation are also presented firstly. Results show that, (1) The China Sea exhibits a significant overall increasing trend in the wave power density (0.2012 (kW/m)/yr) and the SWH (1.52 cm/yr) for the period 1988 to 2011. (2) There is a noticeable increasing trend in most parts of the China Sea, of 0.1-0.7 (kW/m)/yr in wave power density and 0.5-4.5 cm/yr in SWH. Areas with strong increasing trend distribute in the Ryukyu Islands waters, Taiwan Strait and north of the South China Sea (SCS), especially in the Dongsha Islands waters. (3) There is a noticeable seasonal difference in the variation of both SWH and wave power density. The variation in different waters is dominated by the different seasons. The increasing trend of SWH in DJF and MAM is obviously stronger than that in JJA and SON. The increasing trend of wave power density in DJF is stronger than that in other seasons. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:381 / 387
页数:7
相关论文
共 50 条
  • [1] Long-Term Prediction of Significant Wave Height Based on SARIMA Model in the South China Sea and Adjacent Waters
    Yang, Shaobo
    Zhang, Zhenquan
    Fan, Linlin
    Xia, Tianliang
    Duan, Shanhua
    Zheng, Chongwei
    Li, Xingfei
    Li, Hongyu
    IEEE ACCESS, 2019, 7 : 88082 - 88092
  • [2] CHARACTERISTICS OF SIGNIFICANT WAVE HEIGHT IN CHINA SEAS AND THEIR ADJACENT WATERS FROM MERGED ALTIMETRY DATA
    Yang, Jingsong
    Chen, Xiaoyan
    Zhang, Rong
    Wang, Juan
    Huang, Weigen
    2009 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-5, 2009, : 750 - 753
  • [3] Spatial and Temporal Variability of Significant Wave Height and Wave Direction in the Yellow Sea and East China Sea
    Woo, Hye-Jin
    Park, Kyung-Ae
    Jeong, Kwang-Young
    Byun, Do-Seong
    Oh, Hyun-Ju
    JOURNAL OF THE KOREAN EARTH SCIENCE SOCIETY, 2023, 44 (01): : 1 - 12
  • [4] The extremal spatial dependence of significant wave height in the South China sea
    Wang, Rong
    Liu, Jincan
    Wang, Jichao
    OCEAN ENGINEERING, 2024, 295
  • [5] Description and variation of ocean wave energy in Indonesian seas and adjacent waters
    Rizal, A. M.
    Ningsih, N. S.
    OCEAN ENGINEERING, 2022, 251
  • [6] Interannual variability of significant wave height in the northern South China Sea
    Jiang, Lifang
    Yin, Yi
    Cheng, Xuhua
    Zhang, Zhixu
    AQUATIC ECOSYSTEM HEALTH & MANAGEMENT, 2018, 21 (01) : 82 - 92
  • [7] Significant wave height prediction based on deep learning in the South China Sea
    Hao, Peng
    Li, Shuang
    Gao, Yu
    FRONTIERS IN MARINE SCIENCE, 2023, 9
  • [8] Significant Wave Height Prediction in the South China Sea Based on the ConvLSTM Algorithm
    Han, Lei
    Ji, Qiyan
    Jia, Xiaoyan
    Liu, Yu
    Han, Guoqing
    Lin, Xiayan
    JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2022, 10 (11)
  • [9] Extreme significant wave height of tropical cyclone waves in the South China Sea
    Shao, Zhuxiao
    Liang, Bingchen
    Li, Huajun
    Li, Ping
    Lee, Dongyoung
    NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 2019, 19 (10) : 2067 - 2077
  • [10] Comparison of ECMWF Significant Wave Height Forecasts in the China Sea with Buoy Data
    Wang, Juanjuan
    Li, Benxia
    Gao, Zhiyi
    Wang, Jiuke
    WEATHER AND FORECASTING, 2019, 34 (06) : 1693 - 1704