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Application and Selection of Remediation Technology for OCPs-Contaminated Sites by Decision-Making Methods

Author

Listed:
  • Junping Tian

    (GIS Big Data Platform for Socio-Economy in Hebei, Shijiazhuang 050061, Hebei, China)

  • Zheng Huo

    (School of Information Technology, Hebei University of Economics and Business, Shijiazhuang 050061, Hebei, China)

  • Fengjiao Ma

    (GIS Big Data Platform for Socio-Economy in Hebei, Shijiazhuang 050061, Hebei, China
    School of Management Science and Engineering, Hebei University of Economics and Business, Shijiazhuang 050061, Hebei, China)

  • Xing Gao

    (GIS Big Data Platform for Socio-Economy in Hebei, Shijiazhuang 050061, Hebei, China
    School of Public Administration, Hebei University of Economics and Business, Shijiazhuang 050061, Hebei, China)

  • Yanbin Wu

    (GIS Big Data Platform for Socio-Economy in Hebei, Shijiazhuang 050061, Hebei, China
    School of Management Science and Engineering, Hebei University of Economics and Business, Shijiazhuang 050061, Hebei, China)

Abstract

The production and use of organochlorine pesticides (OCPs) for agricultural and industrial applications result in high levels of their residues, posing a significant risk to environmental and human health. At present, there are many techniques for OCP-contaminated soil remediation. However, the remediation of contaminated sites may suffer from a series of problems, such as a long recovery cycle, high costs, and secondary pollution, all of which could affect land redevelopment and reuse. Therefore, the selection of an appropriate technology is crucial for contaminated sites. In order to improve and support decision-making for the selection of remediation techniques, we provide a decision-making strategy for the screening of remediation techniques of OCP-contaminated sites. The screening procedure is proposed based on combining the analytic hierarchy process (AHP) and the technique for order preference by similarity to ideal solution (TOPSIS). The screening indexes include economic indicator, environmental indicator, and technical indicator. The assessment results show that co-processing in cement kiln obtained the highest overall score and was thus considered to be the most sustainable option. This suggested remediation technology was similar to the practical remediation project, indicating that the screening method could be applied for the selection of remediation technologies for sites contaminated with persistent organic pollutants.

Suggested Citation

  • Junping Tian & Zheng Huo & Fengjiao Ma & Xing Gao & Yanbin Wu, 2019. "Application and Selection of Remediation Technology for OCPs-Contaminated Sites by Decision-Making Methods," IJERPH, MDPI, vol. 16(11), pages 1-15, May.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:11:p:1888-:d:235144
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    References listed on IDEAS

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    Cited by:

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    2. Dongmei Huang & Weijun Li & Xikun Chang & Yunliang Tan, 2019. "Key Factors Identification and Risk Assessment for the Stability of Deep Surrounding Rock in Coal Roadway," IJERPH, MDPI, vol. 16(15), pages 1-15, August.

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