海洋学研究 ›› 2019, Vol. 37 ›› Issue (2): 81-94.DOI: 10.3969/j.issn.1001-909X.2019.02.009

• 研究报道 • 上一篇    下一篇

基于EOF分析中西太平洋金枪鱼围网渔场的海洋环境

张小龙1,2, 付东洋*2, 刘大召2, 刘贝2, 余果1,2, 钟雅枫2, 王焕1,2   

  1. 1.广东海洋大学 海洋与气象学院,广东 湛江 524088;
    2.广东海洋大学 电子与信息工程学院,广东 湛江 524088
  • 收稿日期:2018-11-12 修回日期:2019-05-21 出版日期:2019-06-15 发布日期:2022-11-15
  • 通讯作者: *付东洋 (1969-),男,教授,主要从事海洋遥感方面的研究。E-mail: fdy163@163.com
  • 作者简介:张小龙(1994-),男,陕西延安市人,主要从事物理海洋学方面的研究。E-mail:1154476782@qq.com
  • 基金资助:
    国家海洋公益性行业科研专项资助(201305019); 广东省自然科学基金资助(2014A030313603); 广东省科技计划项目资助(2013B030200002, 2016A020222016);广东省哲学社会科学规划项目资助(GD12YGL04); 广东省普通高校优秀青年创新人才培养计划资助( 2012WYM_0077)

Study on marine environment of the tuna purse seine fishery in Western and Central Pacific based on EOF analysis

ZHANG Xiao-long1,2, FU Dong-yang*2, LIU Da-zhao2, LIU Bei2, YU Guo1,2, ZHONG Ya-feng2, WANG Huan1,2   

  1. 1. College of Oceanography and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China;
    2. College of Electronic and Information Engineering, Guangdong Ocean University, Zhanjiang 524088, China
  • Received:2018-11-12 Revised:2019-05-21 Online:2019-06-15 Published:2022-11-15

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摘要： 根据近10 a ECMWF的数值预报资料,主要分析了中西太平洋金枪鱼围网渔场四季和全年的海表温度、海面风场、有效波高的空间分布,利用经验正交方法(Empirical Orthogonal Function, EOF)和经验模态分解(Empirical Mode Decomposition, EMD)分析了空间和时间变化特性。研究表明:海表温度、海面风场、有效波高的四季及全年时空分布有着显著的变化;海表温度的第一、第二、第三模态方差贡献率分别为62.59%、10.98%和6.7%,具有0.5 a、1 a和3 a的周期变化;海面风场的第一、第二、第三模态方差贡献率分别为40.29%、18.39%和9.36%,具有0.2~0.25 a、0.5 a和1 a的周期变化;有效波高的第一、第二、第三模态方差贡献率分别为44.17%、17.35%和10.96%,具有0.2~0.3 a、0.5~1 a和1 a的周期变化。

关键词: 海表温度, 海面风场, 有效波高, EOF分析, EMD分析

Abstract: According to the numerical forecast data of ECMWF in the past 10 years, we analyzed the spatial distribution of sea surface temperature, sea surface wind field and effective wave height of the four seasons and the whole year of the tuna purse seine fishery in the Western and Central Pacific Ocean, and studied the spatial and temporal variation characteristics using Empirical Orthogonal Function (EOF) and Empirical Mode Decomposition (EMD). Research shows that the spatial and temporal distributions of sea surface temperature, sea surface wind field, effective wave height have significant changes; the first, second, third modal variance contribution rates of sea surface temperature are 62.59%, 10.98%, 6.7%, and have 0.5 year, 1 year, 3 year cycle changes; the first, second, third modal variance contribution rates of sea surface wind field are 40.29%, 18.39%, 9.36%, and have 0.2-0.25 year, 0.5 year, 1 year cycle changes; the first, second, third modal variance contribution rates of effective wave height are 44.17%,17.35%, 10.96%, and have 0.2-0.3 year, 0.5-1 year, 1 year cycle changes.

Key words: sea surface temperature, sea surface wind field, effective wave height, EOF analysis, EMD analysis

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