• DocumentCode
    3040621
  • Title

    Application of Comprehensive Water Quality Identification Index in Water Quality Assessment of River

  • Author

    Qun, Miao ; Ying, Gao ; Zhiqiang, Liu ; Xiaohui, Tan

  • Author_Institution
    Inst. of Environ. & Municipal Eng., Qingdao Technol. Univ., Qingdao, China
  • Volume
    1
  • fYear
    2009
  • fDate
    19-21 May 2009
  • Firstpage
    333
  • Lastpage
    337
  • Abstract
    Comprehensive water quality identification index, based on single factor water quality identification index, is a new tool for evaluating surface water quality. This evaluation method of water quality can fully depict the general water quality and evaluate water quality qualitatively and quantitatively. We use this method to evaluate the water quality of Dagu River in Laixi area of Qingdao, China, using one year´s monitoring data of three periods including water-deficient period, water-common period and water-rich period. The results show that the water quality of this valley meet the III category of regional water environment domain standards, while the water quality of the water-rich period is the worst and the water quality of lower reaches is worse than upper reaches, which is basically in accordance with the actual situation. This paper shows that the comprehensive water quality identification index is worth using in the river water quality assessment.
  • Keywords
    river pollution; water quality; comprehensive water quality identification index; river; water quality assessment; Artificial neural networks; Environmental factors; Fuzzy neural networks; Intelligent systems; Monitoring; Quality assessment; Rivers; Surface contamination; Water conservation; Water pollution; comprehensive water quality identification index; river water quality; water quality assessment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-0-7695-3571-5
  • Type

    conf

  • DOI
    10.1109/GCIS.2009.166
  • Filename
    5208965