• DocumentCode
    2525061
  • Title

    The Optimal Search Model for the Accidental Pollution Source in the Yibin-Section of Yangtse River

  • Author

    Liu, Ying ; Liu, Dan ; Tao, Wei ; Miao, Yang

  • Author_Institution
    Sch. of Environ. Sci. & Eng., Southwest Jiaotong Univ., Chengdu, China
  • fYear
    2009
  • fDate
    11-13 June 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Through investigating and analyzing the outlet position and wastewater quality of the enterprises along the Yibin section of Yangtse River, the Yibin section of Yangtse River is divided into 5 cells based on the theory of optimal search according to the characteristic of the standardization management of the outlet. Thus the target distribution function and the search probability function are deduced, and the distribution strategy of search effort is confirmed. To testify the validity of the proposed method, a calculation example was given. The result shows the probability to detect the accidental pollution source with this method is remarkably higher than that with the traditional search method, and that with the method that distributes search time by the probability of target distribution. So the optimal search model for the accidental pollution source in the Yibin- section of Yangtse River is constructed.
  • Keywords
    industrial pollution; industrial waste; optimisation; river pollution; search problems; wastewater; Yangtse River; Yibin section; accidental pollution source; optimal search model; outlet position; standardization management; target distribution function; wastewater quality; Distribution functions; Distribution strategy; Marine pollution; Quality management; Rivers; Standardization; Testing; Waste management; Wastewater; Water pollution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2901-1
  • Electronic_ISBN
    978-1-4244-2902-8
  • Type

    conf

  • DOI
    10.1109/ICBBE.2009.5163638
  • Filename
    5163638