IDEAS home Printed from https://ideas.repec.org/a/spr/envman/v58y2016i6d10.1007_s00267-016-0749-4.html

Risk-Based Prioritization Method for the Classification of Groundwater Pollution from Hazardous Waste Landfills

Author

Listed:
  • Yu Yang

    (Chinese Research Academy of Environmental Sciences, A State Key Laboratory of Environmental Criteria and Risk Assessment)

  • Yong-Hai Jiang

    (State Environmental Protection Key Laboratory of Simulation and Control of Groundwater Pollution)

  • Xin-Ying lian

    (Chinese Research Academy of Environmental Sciences)

  • Bei-Dou Xi

    (Chinese Research Academy of Environmental Sciences, A State Key Laboratory of Environmental Criteria and Risk Assessment)

  • Zhi-fei Ma

    (State Environmental Protection Key Laboratory of Simulation and Control of Groundwater Pollution)

  • Xiang-Jian Xu

    (Chinese Research Academy of Environmental Sciences)

  • Da An

    (Chinese Research Academy of Environmental Sciences, A State Key Laboratory of Environmental Criteria and Risk Assessment)

Abstract

Hazardous waste landfill sites are a significant source of groundwater pollution. To ensure that these landfills with a significantly high risk of groundwater contamination are properly managed, a risk-based ranking method related to groundwater contamination is needed. In this research, a risk-based prioritization method for the classification of groundwater pollution from hazardous waste landfills was established. The method encompasses five phases, including risk pre-screening, indicator selection, characterization, classification and, lastly, validation. In the risk ranking index system employed here, 14 indicators involving hazardous waste landfills and migration in the vadose zone as well as aquifer were selected. The boundary of each indicator was determined by K-means cluster analysis and the weight of each indicator was calculated by principal component analysis. These methods were applied to 37 hazardous waste landfills in China. The result showed that the risk for groundwater contamination from hazardous waste landfills could be ranked into three classes from low to high risk. In all, 62.2 % of the hazardous waste landfill sites were classified in the low and medium risk classes. The process simulation method and standardized anomalies were used to validate the result of risk ranking; the results were consistent with the simulated results related to the characteristics of contamination. The risk ranking method was feasible, valid and can provide reference data related to risk management for groundwater contamination at hazardous waste landfill sites.

Suggested Citation

  • Yu Yang & Yong-Hai Jiang & Xin-Ying lian & Bei-Dou Xi & Zhi-fei Ma & Xiang-Jian Xu & Da An, 2016. "Risk-Based Prioritization Method for the Classification of Groundwater Pollution from Hazardous Waste Landfills," Environmental Management, Springer, vol. 58(6), pages 1046-1058, December.
  • Handle: RePEc:spr:envman:v:58:y:2016:i:6:d:10.1007_s00267-016-0749-4
    DOI: 10.1007/s00267-016-0749-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s00267-016-0749-4
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1007/s00267-016-0749-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:envman:v:58:y:2016:i:6:d:10.1007_s00267-016-0749-4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.