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RM-DEMATEL: a new methodology to identify the key factors in P M 2.5
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  • 作者:Yafeng Chen (1)
    Jie Liu (1)
    Yunpeng Li (1)
    Rehan Sadiq (2)
    Yong Deng (1) (3)

    1. School of Computer and Information Science
    ; Southwest University ; Chongqing ; 400715 ; China
    2. School of Engineering
    ; University of British Columbia Okanagan ; 3333 University Way ; Kelowna ; BC ; Canada
    3. School of Electronics and Information
    ; Northwestern Polytechnical University ; Xian ; Shaanxi ; 710072 ; China
  • 关键词:Relation map ; DEMATEL ; Air pollution management ; P M 2.5
  • 刊名:Environmental Science and Pollution Research
  • 出版年:2015
  • 出版时间:April 2015
  • 年:2015
  • 卷:22
  • 期:8
  • 页码:6372-6380
  • 全文大小:480 KB
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  • 刊物类别:Earth and Environmental Science
  • 刊物主题:Environment
    Environment
    Atmospheric Protection, Air Quality Control and Air Pollution
    Waste Water Technology, Water Pollution Control, Water Management and Aquatic Pollution
    Industrial Pollution Prevention
  • 出版者:Springer Berlin / Heidelberg
  • ISSN:1614-7499
文摘
Weather system is a relative complex dynamic system, the factors of the system are mutually influenced P M 2.5 concentration. In this paper, a new method is proposed to quantify the influence on P M 2.5 by other factors in the weather system and identify the most important factors for P M 2.5 with limited resources. The relation map (RM) is used to figure out the direct relation matrix of 14 factors in P M 2.5. The decision making trial and evaluation laboratory(DEMATEL) is applied to calculate the causal relationship and extent to a mutual influence of 14 factors in P M 2.5. According to the ranking results of our proposed method, the most important key factors is sulfur dioxide (SO 2) and nitrogen oxides (NO X ). In addition, the other factors, the ambient maximum temperature (T max), concentration of P M 10, and wind direction (W d i r ), are important factors for P M 2.5. The proposed method can also be applied to other environment management systems to identify key factors.

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