IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2023i4p3163-d1064999.html
   My bibliography  Save this article

Research on Risk Assessment and Contamination Monitoring of Potential Toxic Elements in Mining Soils

Author

Listed:
  • Jie Yang

    (State Key Laboratory of Petroleum Pollution Control, Beijing 102206, China
    College of Water Sciences, Beijing Normal University, Beijing 100875, China
    Engineering Research Center of Groundwater Pollution Control and Remediation, Ministry of Education, Beijing 100875, China)

  • Yunlong Wang

    (College of Water Sciences, Beijing Normal University, Beijing 100875, China
    Engineering Research Center of Groundwater Pollution Control and Remediation, Ministry of Education, Beijing 100875, China)

  • Rui Zuo

    (College of Water Sciences, Beijing Normal University, Beijing 100875, China
    Engineering Research Center of Groundwater Pollution Control and Remediation, Ministry of Education, Beijing 100875, China)

  • Kunfeng Zhang

    (State Key Laboratory of Petroleum Pollution Control, Beijing 102206, China)

  • Chunxing Li

    (State Key Laboratory of Petroleum Pollution Control, Beijing 102206, China)

  • Quanwei Song

    (State Key Laboratory of Petroleum Pollution Control, Beijing 102206, China)

  • Xianyuan Du

    (State Key Laboratory of Petroleum Pollution Control, Beijing 102206, China)

Abstract

Potentially toxic element (PTE) contamination in soils has serious impacts on ecosystems. However, there is no consensus in the field of assessment and monitoring of contaminated sites in China. In this paper, a risk assessment and pollution monitoring method for PTEs was proposed and applied to a mining site containing As, Cd, Sb, Pb, Hg, Ni, Cr, V, Zn, Tl, and Cu. The comprehensive scoring method and analytical hierarchical process were used to screen the priority PTEs for monitoring. The potential ecological risk index method was used to calculate the risk index of monitoring point. The spatial distribution characteristics were determined using semi-variance analysis. The spatial distribution of PTEs was predicted using ordinary kriging (OK) and radial basis function (RBF). The results showed that the spatial distribution of As, Pd, and Cd are mainly influenced by natural factors, while Sb and RI are influenced by both natural and human factors. OK has higher spatial prediction accuracy for Sb and Pb, and RBF has higher prediction accuracy for As, Cd, and RI. The areas with high ecological risk and above are mainly distributed on both sides of the creek and road. The optimized long-term monitoring sites can achieve the monitoring of multiple PTEs.

Suggested Citation

  • Jie Yang & Yunlong Wang & Rui Zuo & Kunfeng Zhang & Chunxing Li & Quanwei Song & Xianyuan Du, 2023. "Research on Risk Assessment and Contamination Monitoring of Potential Toxic Elements in Mining Soils," IJERPH, MDPI, vol. 20(4), pages 1-21, February.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:4:p:3163-:d:1064999
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/4/3163/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/20/4/3163/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hassan Amjad & Shanawar Hamid & Yasir Niaz & Muhammad Ashraf & Umair Yasir & Amna Chaudhary & Ali Arsalan & Mian Waqar Daud, 2019. "Efficiency Assessment Of Wastewater Treatment Plant: A Case Study Of Pattoki, District Kasur, Pakistan," Earth Sciences Pakistan (ESP), Zibeline International Publishing, vol. 3(2), pages 01-04, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      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:gam:jijerp:v:20:y:2023:i:4:p:3163-:d:1064999. 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.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.