IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i15p11987-d1210366.html
   My bibliography  Save this article

Pollution Level, Ecological Risk Assessment and Vertical Distribution Pattern Analysis of Heavy Metals in the Tailings Dam of an Abandon Lead–Zinc Mine

Author

Listed:
  • Qiaoli Wang

    (School of Resources and Safety Engineering, Central South University, Changsha 410083, China
    Current address: Faculty of Architecture, Civil and Environmental Engineering (ENAC), École Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland.)

  • Jiannan Cai

    (Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Shatin, Hong Kong, China)

  • Feng Gao

    (School of Resources and Safety Engineering, Central South University, Changsha 410083, China)

  • Zijun Li

    (School of Resources and Safety Engineering, Central South University, Changsha 410083, China)

  • Mengsheng Zhang

    (School of Resources and Safety Engineering, Central South University, Changsha 410083, China)

Abstract

Tailings dams in mining areas frequently experience the phenomenon of haphazard dumping and stacking of a large amount of tailings waste. Under the influence of surface runoff and groundwater infiltration, heavy metals from tailings waste can migrate to the surrounding areas and underground soil, resulting in extensive heavy metal pollution. To analyze the pollution level and ecological risk of heavy metals in an abandoned lead–zinc mine tailings dam, this study first employed X-ray fluorescence analysis to determine the vertical distribution patterns of heavy metals with depth. Then, the pollution levels of heavy metals were analyzed based on the Nemerow comprehensive pollution index and geoaccumulation index. Subsequently, the ecological risk of heavy metal pollution was further assessed using the potential ecological risk (PER) index. Finally, the sources and potential hazards of heavy metal pollution were investigated. The results reveal that (1) heavy metal pollutants are identified as lead (Pb), zinc (Zn), copper (Cu) and arsenic (As), displaying enrichment at the interface layer between the reclaimed zone and tailings layer with the highest concentrations; (2) the pollution degrees in each zone follow the order of interface layer > tailings layer > deep zone > reclaimed zone, and the pollution levels for the four heavy metals in decreasing order are Pb > Zn > As > Cu; (3) after considering the toxic effects of heavy metals, the potential ecological risk in each zone remains consistent with the ranking of pollution levels, and the contribution of the four heavy metals to PER changes to Pb > As > Zn > Cu, corresponding average E r i values of 913.928, 416.900, 96.462 and 47.998, respectively; (4) ecological risk of heavy metals originates from lead–zinc ore extraction, and heavy metal pollution poses potential risks to public water security and surrounding ecological resources.

Suggested Citation

  • Qiaoli Wang & Jiannan Cai & Feng Gao & Zijun Li & Mengsheng Zhang, 2023. "Pollution Level, Ecological Risk Assessment and Vertical Distribution Pattern Analysis of Heavy Metals in the Tailings Dam of an Abandon Lead–Zinc Mine," Sustainability, MDPI, vol. 15(15), pages 1-17, August.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:15:p:11987-:d:1210366
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/15/11987/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/15/11987/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lenka Štofejová & Juraj Fazekaš & Danica Fazekašová, 2021. "Analysis of Heavy Metal Content in Soil and Plants in the Dumping Ground of Magnesite Mining Factory Jelšava-Lubeník (Slovakia)," Sustainability, MDPI, vol. 13(8), pages 1-13, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Violeta Monica Radu & Anca Marina Vîjdea & Alexandru Anton Ivanov & Veronica Elena Alexe & George Dincă & Valentina Maria Cetean & Andra Elena Filiuță, 2023. "Research on the Closure and Remediation Processes of Mining Areas in Romania and Approaches to the Strategy for Heavy Metal Pollution Remediation," Sustainability, MDPI, vol. 15(21), pages 1-20, October.

    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.
    1. Georgios Thalassinos & Spyridon A. Petropoulos & Aspasia Grammenou & Vasileios Antoniadis, 2023. "Potentially Toxic Elements: A Review on Their Soil Behavior and Plant Attenuation Mechanisms against Their Toxicity," Agriculture, MDPI, vol. 13(9), pages 1-21, August.

    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:jsusta:v:15:y:2023:i:15:p:11987-:d:1210366. 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.