• DocumentCode
    2444938
  • Title

    The Industrial Pollution Management Based on Cluster Analysis

  • Author

    Qingjun, Lua ; Li Yong ; Feng, Xiaa

  • Author_Institution
    Environ. Protection Inf. Center, Chongqing Environ. Protection Bur., Chongqing, China
  • fYear
    2010
  • fDate
    7-9 May 2010
  • Firstpage
    4842
  • Lastpage
    4845
  • Abstract
    Clustering techniques has been applied to the classification of industrial pollution source. Use the features of industrial waste water pollution sources and waste gas pollution sources to build the data model, and cluster about 30000 records of pollution sources, then assess and explain the clustering results. Build a two-dimensional classification based on waste water and waste gas according to clustering results and make customized industrial pollution management policies to improve environmental management.
  • Keywords
    environmental management; industrial waste; waste handling; water pollution; cluster analysis; environmental management; industrial pollution management; industrial waste water pollution sources; two-dimensional classification; waste gas pollution sources; Artificial neural networks; Atmospheric modeling; Data mining; Environmentally friendly manufacturing techniques; Industrial pollution; Synthetic aperture sonar; Clustering; Data mining; Industrial pollution source management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    E-Business and E-Government (ICEE), 2010 International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-0-7695-3997-3
  • Type

    conf

  • DOI
    10.1109/ICEE.2010.1217
  • Filename
    5593161