• DocumentCode
    483315
  • Title

    Evaluation of Water Quality Using Grey Clustering

  • Author

    Zhu, Changjun ; Liu, Qinghua

  • Author_Institution
    Coll. of Urban Constr., Hebei Univ. of Eng., Handan
  • fYear
    2009
  • fDate
    23-25 Jan. 2009
  • Firstpage
    803
  • Lastpage
    805
  • Abstract
    Evaluation of water environment quality plays an important role in environment science. Because of many factors affecting environment quality, it is a basic task to select rational pattern and make full use of limited information from monitors so as to describe environment quality objectively. In view of the deficiency of the traditional methods, based on the grey theory, a grey clustering model is established to evaluate water quality. The proposed model was applied to assess the water quality of 20 sections in Suzhou River. The evaluation result was compared with that of the traditional method and the reported results in the Suzhou River. It is indicated that the performance of the proposed model is practically feasible in the application of water quality assessment and its application is simple.
  • Keywords
    grey systems; pattern clustering; rivers; water quality; Suzhou River; environment science; grey clustering; grey theory; water environment quality; water quality assessment; water quality evaluation; Clustering methods; Data engineering; Data mining; Educational institutions; Monitoring; Quality assessment; Rivers; Surface contamination; Water conservation; Water pollution; evaluation; grey clustering; water quality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Discovery and Data Mining, 2009. WKDD 2009. Second International Workshop on
  • Conference_Location
    Moscow
  • Print_ISBN
    978-0-7695-3543-2
  • Type

    conf

  • DOI
    10.1109/WKDD.2009.28
  • Filename
    4772057