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Volume 26 Issue 3
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Article Navigation >  Acta Oceanologica Sinica  > 2007  >  (3): 160-166
ZHENG Chongwei, PAN Jing, TAN Yanke, GAO Zhansheng, RUI Zhenfeng, CHEN Chaohui. The seasonal variations in the significant wave height and sea surface wind speed of the China's seas[J]. Acta Oceanologica Sinica, 2015, 34(9): 58-64. doi: 10.1007/s13131-015-0738-0
Citation: WANG Sheng'an, LONG Xiaomin, ZHANG Keben, CHEN Junchang, ZHANG Wenjing, CAI Shuqun. A method of determining dominant wave direction from multiparameter hydrological gauge measurements and its application[J]. Acta Oceanologica Sinica, 2007, (3): 160-166.
shu

A method of determining dominant wave direction from multiparameter hydrological gauge measurements and its application

  • 1.

    South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China

  • 2.

    South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China;Department of Mechanics, Sun Yat-sen Universtity, Guangzhou 510275, China

  • Received Date: 2006-09-10
  • Rev Recd Date: 2007-03-14
    Abstract
  • Multi-parameter hydrological gauge is an instrument developed by the South China Sea Institute of Oceanology,the Chinese Academy of Sciences to make simultaneous observation of current,wave,tide,water temperature and conductivity.By using the well-known "PUV method",the directional wave spectrum can be calculated and the dominant wave direction is then obtained.The comparison of the dominant wave directions derived from the measurements using both the multi-parameter hydrological gauge and the MARK Ⅱ "Wave-Rider" directional buoy shows that the dominant wave directions derived from the two kinds of measurements are in good agreement.
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    2. Bahareh Kamranzad, Khalid Amarouche, Adem Akpinar. Linking the long-term variability in global wave energy to swell climate and redefining suitable coasts for energy exploitation. Scientific Reports, 2022, 12(1) doi:10.1038/s41598-022-18935-w
    3. Yuhan Cao, Changming Dong, Ian R. Young, et al. Global Wave Height Slowdown Trend during a Recent Global Warming Slowdown. Remote Sensing, 2021, 13(20): 4096. doi:10.3390/rs13204096
    4. Yuru Li, Shuyang Ma, Caihong Fu, et al. Appraising the Status of Fish Community Structure in the Yellow Sea Based on an Indicator-Testing Framework. Frontiers in Marine Science, 2021, 8 doi:10.3389/fmars.2021.646733
    5. Shuyang Ma, Yang Liu, Jianchao Li, et al. Climate-induced long-term variations in ecosystem structure and atmosphere-ocean-ecosystem processes in the Yellow Sea and East China Sea. Progress in Oceanography, 2019, 175: 183. doi:10.1016/j.pocean.2019.04.008
    6. Zhuxiao Shao, Bingchen Liang, Huajun Li, et al. Extreme significant wave height of tropical cyclone waves in the South China Sea. Natural Hazards and Earth System Sciences, 2019, 19(10): 2067. doi:10.5194/nhess-19-2067-2019
    7. Yanda Ou, Fangguo Zhai, Peiliang Li. Interannual wave climate variability in the Taiwan Strait and its relationship to ENSO events. Journal of Oceanology and Limnology, 2018, 36(6): 2110. doi:10.1007/s00343-019-7301-3
    8. Bijoy Thompson, Pavel Tkalich, Paola Malanotte-Rizzoli. Regime shift of the South China Sea SST in the late 1990s. Climate Dynamics, 2017, 48(5-6): 1873. doi:10.1007/s00382-016-3178-4
    9. Chongwei Zheng, Chongyin Li, Hailang Wu, et al. 21st Century Maritime Silk Road: Construction of Remote Islands and Reefs. Springer Oceanography, doi:10.1007/978-981-10-8114-9_4
    10. Tiago C.A. Oliveira, Pavel Tkalich, Bien Aik Tan, et al. High-resolution wind-wave model for the Sea Surface Wave Height forecasting and hindcasting. Global Oceans 2020: Singapore – U.S. Gulf Coast, doi:10.1109/IEEECONF38699.2020.9389087

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