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应用生态学报 ›› 2003, Vol. ›› Issue (11): 1959-1962.

• 研究论文 • 上一篇    下一篇

香溪河水质空间分布特性研究

叶麟, 黎道丰, 唐涛, 渠晓东, 蔡庆华   

  1. 中国科学院水生生物研究所淡水生态与生物技术国家重点实验室, 武汉 430072
  • 收稿日期:2003-01-07 修回日期:2003-05-27
  • 通讯作者: 蔡庆华,通讯联系人.E-mail:qhcai@ihb.ac.cn
  • 基金资助:
    国家重点基础研究发展规划(973)项目(2002CB412310);中国科学院知识创新工程重要方向项目(KSCX2SW111);国家自然科学基金项目(30070153,39670150);中国科学院知识创新工程重大项目(KZCX1SW12IV21);中国科学院水生生物研究所领域前沿项目(K220208);湖北省

Spatial distribution of water quality in Xiangxi River,China

YE Lin, LI Daofeng, TANG Tao, QU Xiaodong, CAI Qinghua   

  1. State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
  • Received:2003-01-07 Revised:2003-05-27

摘要: 运用聚类分析和主成分分析对香溪河19个样点水质的理化特性进行研究.聚类分析表明,根据各采样点之间水质组分的相似性可将香溪河大致分为3个河段,分别属于不同的亚流域,各亚流域间的特征差异显著.对各河段水质的主成分分析表明,上述3河段的主要水质信息差异很大,第1河段(在河流上游)水质的信息主要体现为总碱度和硬度,第2河段(河流中游)主要体现为可溶性磷酸盐、总磷和氯离子,第3河段(河流下游)则为pH、亚硝酸盐氮、总氮和COD.文中结合香溪河流域地理环境背景,探讨了香溪河水质空间分布格局的成因,为分析流域水质状况及成因提供了一条简单有效的途径.

关键词: 聚类分析, 主成分分析, 河流水质, 香溪河

Abstract: Cluster analysis and principal component analysis were used to analyze the physical and chemical characteristics of water samples collected from 19 sampling sites along Xiangxi River.The result of cluster analysis showed that Xiangxi River could be divided into three reaches,which belonged to different sub-basins.The principle component analysis on each reach showed that the main information of water quality was different from each other.In the upper reach,the main information of river water quality was hardness and total alkalinity;in the middle reach,the main information was dissolved phosphorus,total phosphorus and Cl-,in the lower reach,the main information was pH,NO2--N,total nitrogen and COD.Furthermore,considering the geographical and environmental backgrounds of the Xiangxi River basin,the reason that caused the different distribution pattern of water quality in Xiangxi River was discussed.Hence,a simple approach to analyze the spatial distribution of water quality was provided.

Key words: Cluster analysis, Principal component analysis, River water quality, Xiangxi River

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