• DocumentCode
    2924783
  • Title

    Study on Water Quality Assessment of Urban River

  • Author

    Lu, Liu ; Liang, Chen ; Pin, Gao ; Gang, Chen

  • Author_Institution
    Donghua Univ., Shanghai, China
  • fYear
    2011
  • fDate
    19-20 Feb. 2011
  • Firstpage
    2244
  • Lastpage
    2247
  • Abstract
    The paper presents the principle and calculation process of the principal component analysis which is a useful method of water quality assessment. Eight indicators include dissolved oxygen, permanganate index, BOD, ammonia nitrogen, copper, zinc, volatile phenol, oil in 20 monitoring sections of Ningbo urban river were analyzed by using principal component analysis. Three factors with 86.67% of accumulated contribution rates were extracted from the original data, which include organic matter factor, heavy metal matter factor, ammonia nitrogen and volatile phenol factor. The results show that 50% water sections can´t reach the standards, most of them located in Yinzhou River, Yin River and Fenghua River. The results consist with the actual situation.
  • Keywords
    copper; environmental monitoring (geophysics); hydrological techniques; nitrogen; organic compounds; oxygen; rivers; water quality; zinc; BOD content; China; Cu; Fenghua river; N; Ningbo urban river; O; PCA; Yin river; Yinzhou river; Zn; ammonia nitrogen content; ammonia nitrogen factor; copper content; dissolved oxygen content; heavy metal matter factor; oil content; organic matter factor; permanganate index; principal component analysis; urban river water quality assessment; volatile phenol content; volatile phenol factor; zinc content; Correlation; Monitoring; Principal component analysis; Rivers; Water pollution; Water resources; principal component analysis; urban river; water quality assessment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Distributed Control and Intelligent Environmental Monitoring (CDCIEM), 2011 International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-61284-278-3
  • Electronic_ISBN
    978-0-7695-4350-5
  • Type

    conf

  • DOI
    10.1109/CDCIEM.2011.522
  • Filename
    5748272