IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i10p4334-d1653163.html
   My bibliography  Save this article

Identification of Heavy Metal Sources and Health Risk Assessment in Coal Mining Area Soils Using Mercury Isotopes and Positive Matrix Factorization (PMF) Model

Author

Listed:
  • Chang Li

    (Anhui Province Engineering Research Center for Mine Ecological Remediation, Anhui University, Hefei 230601, China)

  • Xing Chen

    (Anhui Province Engineering Research Center for Mine Ecological Remediation, Anhui University, Hefei 230601, China
    School of Environment and Energy Engineering, Anhui Jianzhu University, Hefei 230601, China)

  • Hua Cheng

    (Anhui Province Engineering Research Center for Mine Ecological Remediation, Anhui University, Hefei 230601, China)

  • Liugen Zheng

    (Anhui Province Engineering Research Center for Mine Ecological Remediation, Anhui University, Hefei 230601, China)

Abstract

This investigation focuses on anthropogenic impacts on metallic element distribution within coal mining ecosystems, particularly addressing soil contamination risks in the Linhuan region. Researchers conducted comprehensive sampling and analysis of surface soil contaminants, specifically quantifying mercury, copper, zinc, iron, aluminum, and lead concentrations. Through integrated application of receptor modeling (PMF) and mercury isotopic fingerprinting methodology, this study established a quantitative assessment framework for pollution source apportionment. The multi-technique approach enables precise identification of contamination pathways and proportional contributions from different anthropogenic activities in the mining environment. Coupled with a human health risk assessment model, the health risks associated with specific sources were evaluated. The results indicate that the concentrations of Hg, Cu, Zn, Fe, Al, and Pb in the soil of the study area are 9.49, 2.80, 4.01, 11.79, 6.32, and 1.03 times the soil background values, respectively, suggesting a certain degree of enrichment of these six heavy metals in the soil. The PMF source contribution results show that the soil heavy metals in the study area have three sources: natural soil formation, a mixture of coal combustion and traffic activities, and coal mining activities, with contribution rates of 31.23%, 31.59%, and 37.18%, respectively. The health risk assessment results for specific sources indicate that the non-carcinogenic risks of soil heavy metals in the local area require sufficient attention. Hg is the main cause of non-carcinogenic health risks for both groups, making it a priority element for controlling soil heavy metal health risks. Coal mining activities are the main source (52.4%) of non-carcinogenic risks, making them a priority control source for soil heavy metal health risks in the study area. These findings provide a theoretical basis for enhancing the refined management of heavy metal pollution and the prevention of health risks in soils of coal mining areas.

Suggested Citation

  • Chang Li & Xing Chen & Hua Cheng & Liugen Zheng, 2025. "Identification of Heavy Metal Sources and Health Risk Assessment in Coal Mining Area Soils Using Mercury Isotopes and Positive Matrix Factorization (PMF) Model," Sustainability, MDPI, vol. 17(10), pages 1-16, May.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:10:p:4334-:d:1653163
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/10/4334/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/17/10/4334/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Meiliang Dong & Rong Huang & Peng Mao & Long Lei & Yongxing Li & Yingwen Li & Hanping Xia & Zhian Li & Ping Zhuang, 2021. "Immobilization of Cadmium by Molecular Sieve and Wollastonite Is Soil pH and Organic Matter Dependent," IJERPH, MDPI, vol. 18(10), pages 1-17, May.
    2. Di Zhao & Qiang Wu & Guodong Zheng & Yifan Zeng & Hanyuan Wang & Aoshuang Mei & Shuai Gao & Xiaohui Zhang & Yao Zhang, 2022. "Quantitative Source Apportionment and Uncertainty Analysis of Heavy Metal(loid)s in the Topsoil of the Nansi Lake Nature Reserve," Sustainability, MDPI, vol. 14(11), pages 1-20, May.
    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.

      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:17:y:2025:i:10:p:4334-:d:1653163. 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.