• DocumentCode
    3018460
  • Title

    A Hybrid Approach of Hazard Estimation for Chemical Hazard Installations

  • Author

    Guo, Rong ; Wang, Yuhui

  • Author_Institution
    Sch. of Optoelectronical Eng., Xi´´an Technol. Univ., Xi´´an, China
  • Volume
    2
  • fYear
    2009
  • fDate
    11-14 Dec. 2009
  • Firstpage
    525
  • Lastpage
    528
  • Abstract
    A hybrid approach of hazard estimation was proposed to estimate the real hazard rankings of chemical hazard installations. 4 popular methods were selected to synthesize the hybrid approach by AHP, including critical factor (CF), consequence analysis (CA), Dow´s index and Mond´s index. A hierarchy structure was built to estimate the relative credibility of the selected methods. Next, hazard index (HI) was proposed as the new criterion to rank hazard levels under different assessment systems. Each method´ s result was translated into hazard index based on the mappings between them. And then a weighted average of all hazard indexes was calculated, which was taken as the only criterion to rank hazard levels of CHIs. A case study in Weinan City of China shows that the proposed method provides more reasonable estimation results than the traditional way.
  • Keywords
    chemical engineering; chemical hazards; decision making; industrial pollution; risk analysis; statistical analysis; AHP; Dow´s index; Mond´s index; analytic hierarchical process; assessment systems; chemical hazard installations; consequence analysis; critical factor; decision making theory; hazard estimation; hazard index; rank hazard levels; Accidents; Chemical analysis; Chemical hazards; Chemical technology; Cities and towns; Computational intelligence; Explosions; Fires; Safety; Security;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security, 2009. CIS '09. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-5411-2
  • Type

    conf

  • DOI
    10.1109/CIS.2009.231
  • Filename
    5376176