• DocumentCode
    1710662
  • Title

    Assessment of reclaimed water quality based on the improved projection pursuit

  • Author

    Junming, Huang ; Jiancang, Xie ; Jianlong, Zhang

  • Author_Institution
    Inst. of Water Conservancy & Hydroelectric Power, Xi´an Univ. of Technol., Xi´an, China
  • Volume
    4
  • fYear
    2011
  • Firstpage
    2718
  • Lastpage
    2720
  • Abstract
    In order to improve the accuracy of the reclaimed water quality assessment, solve the problem of the uncertainty and ambiguity of its indexes, this paper use projection pursuit(PP), genetic algorithm(GA), evaluation standards of water quality to build a new Mathematical model of the comprehensive assessment of reclaimed water quality, which is genetic algorithm projection pursuit(GAPP)model. And the result of case study proves that the GAPP model is intuitive, reliable and high-precision with a higher classification function and a better sorting function, which can be widely applied to agriculture and water´s environmental quality assessment issue.
  • Keywords
    genetic algorithms; water quality; classification function; genetic algorithm projection pursuit model; mathematical model; reclaimed water quality assessment; sorting function; Genetic algorithms; Indexes; Mathematical model; Quality assessment; Sewage treatment; Water pollution; Water resources; Water Quality Assessmen; genetic algorithm; projection pursuit; reclaimed water;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Water Resource and Environmental Protection (ISWREP), 2011 International Symposium on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-61284-339-1
  • Type

    conf

  • DOI
    10.1109/ISWREP.2011.5893440
  • Filename
    5893440