IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i15p6550-d1446908.html
   My bibliography  Save this article

Health Risk Assessment of Road-Dust-Bound Heavy Metals via Ingestion Exposure from One Typical Inland City of Northern China: Incorporation of Sources and Bioaccessibility

Author

Listed:
  • Shuo Chen

    (College of Geography and Environment, Shandong Normal University, Jinan 250358, China
    These authors contributed equally to this work.)

  • Lei Han

    (Jinan Environmental Research Institute (Jinan Yellow River Basin Ecological Protection Promotion Center), Jinan 250100, China
    These authors contributed equally to this work.)

  • Yushuang Wu

    (College of Geography and Environment, Shandong Normal University, Jinan 250358, China)

  • Xiaojuan Liu

    (Jinan Ecological Environment Monitoring Center Jiyang Branch Center, Jinan 251400, China)

  • Chenglang Liu

    (College of Geography and Environment, Shandong Normal University, Jinan 250358, China)

  • Yuzhen Liu

    (College of Geography and Environment, Shandong Normal University, Jinan 250358, China)

  • Hongbo Li

    (State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China)

  • Jie Li

    (College of Geography and Environment, Shandong Normal University, Jinan 250358, China)

Abstract

Heavy metals in road dust pose potential health risks to humans, while oral bioaccessibility and sources are all important factors influencing this health risk. However, few prior studies have combined them for health risk analysis. In this study, road dust samples were collected from different geographical locations of Jinan (west area, WA; central area, CA; and east area, EA) to analyze the source-specific and bioaccessibility-based health risks of heavy metals. The mean concentrations of heavy metals in the three areas were CA > EA > WA, with Cd, Cu, Mn, Pb, and Zn exceeding their corresponding background values. A source analysis using a Positive Matrix Factorization (PMF) model showed that traffic emissions were the main source of heavy metals in the WA and CA, while industrial activities were the main source in the EA. The mean bioaccessibility of heavy metals extracted using the Solubility Bioaccessibility Research Consortium (SBRC) method followed the order of Cd (75.5%) > Zn (42.2%) > Mn (42.1%) > Pb (42.0%) > Cu (32.9%) > As (23.6%) > Ni (20.1%) > V (16.8%) > Cr (13.3%). According to the combined source analysis, traffic was the primary risk factor in the WA (54.5 and 58.3% of NCR and CR, respectively) and CA (61.8 and 51.2%), with solid waste being the main risk factor in the EA (41.9 and 51.3%). In oral bioaccessibility testing, lower non-carcinogenic (<1.0) and carcinogenic risks (<1 × 10 −6 ) of heavy metals were observed than those based on the total metal content. More importantly, As (43.4%) was replaced by V (29.7%) as the main contributor to NCR. Source-specific and bioaccessibility-based health risk assessments can accurately identify priority pollutants and heavy metals in urban road dust that need to be controlled. This provides more effective and accurate urban environmental risk management recommendations for sustainable urban development and population health.

Suggested Citation

  • Shuo Chen & Lei Han & Yushuang Wu & Xiaojuan Liu & Chenglang Liu & Yuzhen Liu & Hongbo Li & Jie Li, 2024. "Health Risk Assessment of Road-Dust-Bound Heavy Metals via Ingestion Exposure from One Typical Inland City of Northern China: Incorporation of Sources and Bioaccessibility," Sustainability, MDPI, vol. 16(15), pages 1-16, July.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:15:p:6550-:d:1446908
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/15/6550/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/15/6550/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fei Tang & Zhi Li & Yanping Zhao & Jia Sun & Jianteng Sun & Zhenghui Liu & Tangfu Xiao & Jinli Cui, 2022. "Geochemical Contamination, Speciation, and Bioaccessibility of Trace Metals in Road Dust of a Megacity (Guangzhou) in Southern China: Implications for Human Health," IJERPH, MDPI, vol. 19(23), pages 1-15, November.
    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.
    1. Guangbo Liu & Tian Chen & Jinli Cui & Yanping Zhao & Zhi Li & Weixin Liang & Jianteng Sun & Zhenghui Liu & Tangfu Xiao, 2023. "Trace Metal(loid) Migration from Road Dust to Local Vegetables and Tree Tissues and the Bioaccessibility-Based Health Risk: Impacts of Vehicle Operation-Associated Emissions," IJERPH, MDPI, vol. 20(3), pages 1-20, January.

    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:16:y:2024:i:15:p:6550-:d:1446908. 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.