海洋学研究 ›› 2015, Vol. 33 ›› Issue (1): 81-88.DOI: 10.3969/j.issn.1001-909X.2015.01.012

• 研究报道 • 上一篇    

基于PCA法的春、夏季东山湾海域富营养化特征

姜双城1, 林培梅2, 蔡玉婷1, 郑盛华1, 蔡建堤1, 许翠娅1, 杨妙峰1, 席英玉1, 钟硕良*1   

  1. 1.福建省水产研究所, 福建 厦门 361013;
    2.厦门市第五中学, 福建 厦门 361000
  • 收稿日期:2014-09-23 修回日期:2014-11-02 出版日期:2015-03-15 发布日期:2022-11-25
  • 通讯作者: *钟硕良(1953-),男,教授级高工,主要从事海洋与渔业生态环境方面的研究。E-mail:zsl-5388@163.com
  • 作者简介:姜双城(1980-),男,山东济宁市人,助理研究员,主要从事海洋环境与生态方面的研究。E-mail:2001082011@163.com
  • 基金资助:
    国家海洋公益性行业科研专项经费项目资助(2010050012-2,201305043-4);闽海渔科【2012】001号项目资助

Analysis of eutrophication characteristics in Dongshan Bay based on PCA

JIANG Shuang-cheng1, LIN Pei-mei2, CAI Yu-ting1, ZHENG Sheng-hua1, CAI Jian-di1, XU Cui-ya1, YANG Miao-feng1, XI Ying-yu1, ZHONG Shuo-liang1   

  1. 1. Fisheries Research Institute of Fujian Province, Xiamen 361013, China;
    2. Xiamen Fifth Middle School, Xiamen 361000, China
  • Received:2014-09-23 Revised:2014-11-02 Online:2015-03-15 Published:2022-11-25

摘要: 根据2011年5月和8月东山湾及邻近海域的调查结果,选择10个与富营养化有关的参数,包括溶解无机氮(DIN)、溶解硅酸盐(DSi)、活性磷酸盐(SRP)、总氮(TN)、总磷(TP)、化学耗氧量(COD)、溶解有机碳(DOC)、总有机碳(TOC)、叶绿素a(Chl-a)和浮游植物丰富度(d)等,应用主成分分析(PCA)法对该海域富营养化特征进行研究。主成分分析表明,主成分1(PC1)表征了有机污染、浮游植物和总磷状况;主成分2(PC2)反映了硅和氮营养水平,主成分3(PC3)体现了SRP的特点。春、夏季PC1、PC2、PC3和综合主成分(CPC)的空间分布表明漳江口和八尺门养殖区邻近海域富营养化风险较高;各主成分与盐度的相关分析表明东山湾内富营养化压力主要来自漳江,夏季有所增强;有机污染物和浮游植物可能是控制东山湾海域春、夏季富营养空间分布的主要驱动因素。

关键词: 富营养化, 主成分分析, 回归分析, 东山湾

Abstract: According to the investigation results of Dongshan Bay and its adjacent sea area in May and August 2011, DIN、DSi、SRP、TN、TP、COD、DOC、TOC、Chl-a and total abundance of phytoplankton associated with eutrophication were analyzed with principal component analysis(PCA).Three principal components (PCs) were extracted with principal component analysis: phytoplankton、TP and COD for PC1, N nutrients and silicon nutrients for PC2 and P nutrients for PC3. Distribution of PC1、PC2、PC3 and CPC in spring and summer show the high eutrophication risk regions, where were Zhangjiang Estuary and Bachimen adjacent areas. The correlation analysis with salinity showed that eutrophication pressure was mainly from Zhangjiang in Dongshan Bay, and enhanced in summer. COD and phytoplankton are dominating factors in assessing the variation of eutrophication in Dongshan Bay and its adjacent area.

Key words: eutrophication, principal component analysis, regression analysis, Dongshan Bay

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