南海叶绿素浓度的时空变化特征分析*

doi:10.11978/j.issn.1009-5470.2012.04.006

热带海洋学报 ›› 2012, Vol. 31 ›› Issue (4): 42-48.doi: 10.11978/j.issn.1009-5470.2012.04.006cstr: 32234.14.j.issn.1009-5470.2012.04.006

南海叶绿素浓度的时空变化特征分析*

刘昕^1,2, 王静¹, 程旭华², 闫桐²

1. 中山大学地理科学与规划学院, 广东省城市化与地理环境空间模拟重点实验室, 广东广州 510275;
2. 热带海洋环境国家重点实验室(中国科学院南海海洋研究所), 广东广州 510301

收稿日期:2011-12-01 修回日期:2012-02-10 出版日期:2012-10-22 发布日期:2012-10-24
通讯作者: 王静, 主要从事海洋遥感信息应用研究、GIS研究。E-mail: jwang@scsio.ac.cn;
作者简介:刘昕(1987—), 女, 四川省自贡市人, 硕士, 主要从事海洋遥感信息应用研究。 * 文中使用的SeaWiFS 叶绿素浓度资料, TMI资料和融合风场资料分别由美国NASA Ocean Biology Processing Group, Remote Sensing Systems以及NOAA/NCDC ERDDAP提供, 在此深表感谢！

The temporal and spatial evolution of chlorophyll-a concentration in the South China Sea

LIU Xin^1,2, WANG Jing¹, CHENG Xu-hua², YAN Tong²

1. Guangdong Key Laboratory for Urbanization and Geo-simulation, School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China;
2. State Key Laboratory of Tropical Oceanography (South China Sea Institute of Oceanology, Chinese Academy of Sciences), Guangzhou 510301, China

Received:2011-12-01 Revised:2012-02-10 Online:2012-10-22 Published:2012-10-24

摘要/Abstract

摘要：

运用经验正交函数(EOF)分解方法, 分析了SeaWiFS传感器获取的近13年的逐月叶绿素浓度资料, 得出南海叶绿素浓度的空间分布形态及其随时间的变化特征。结果显示, 南海叶绿素浓度在空间上主要表现为4种典型的分布结构, 而时间上以季节变化为主: EOF1呈现了南海叶绿素浓度近海高、海盆区低的基本分布特征; EOF2显示出夏季越南沿岸激流形叶绿素浓度高值带的存在, 除显著的季节变化外, 其时间序列也表现出明显的年际变化特征, 并与ENSO事件关系紧密; EOF3体现了南海叶绿素浓度随东北季风加强而升高的现象, 其高值区分布于东北-西南向的海盆主轴以北, 并在吕宋岛西北海域形成一个极大值中心; 另外, EOF4反映了叶绿素浓度较短时间尺度的变化规律, 在空间分布上表现为明显的三涡结构, 与南海海面高度的三涡结构有极好的对应关系。

关键词: 南海, 叶绿素浓度, 海洋遥感, EOF分析

Abstract:

Based on nearly 13 years’ SeaWiFS chlorophyll-a (Chl-a) concentration data, the authors analyzed the temporal and spatial variation of Chl-a in the South China Sea (SCS) using the empirical orthogonal function (EOF). The first four EOF modes captured the major features of Chl-a in the SCS. EOF1 describes the fundamental variation of Chl-a with higher concentration over the shallow water and lower concentration over the deep basin. EOF2 presents a high Chl-a concentration band extending eastward from the South Vietnam coast in summer, which is related to the coastal upwelling. In addition to its distinct seasonal variation, this EOF mode also shows a significant interannual variability associated with El Ni?o-Southern Oscillation events (ENSO). EOF3 discloses the evidence that the Chl-a concentration increases with the enhancement of northeasterly monsoon in winter. The Chl-a concentration is characterized by high values north of the NE-SW axis and reaches its maximum to the northwest of Luzon Island. Unlike the first three EOF modes, EOF4 reveals a semi-annual variability of Chl-a with a tri-pole structure, which corresponds very well with the spatial distribution of sea surface height.

Key words: South China Sea, chlorophyll-a concentration, ocean remote sensing, empirical orthogonal function

刘昕, 王静, 程旭华, 闫桐. 南海叶绿素浓度的时空变化特征分析*[J]. 热带海洋学报, 2012, 31(4): 42-48.

LIU Xin, WANG Jing, CHENG Xu-hua, YAN Tong. The temporal and spatial evolution of chlorophyll-a concentration in the South China Sea[J]. Journal of Tropical Oceanography, 2012, 31(4): 42-48.

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南海叶绿素浓度的时空变化特征分析*

The temporal and spatial evolution of chlorophyll-a concentration in the South China Sea

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