IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i20p13227-d941986.html
   My bibliography  Save this article

The Predominant Sources of Heavy Metals in Different Types of Fugitive Dust Determined by Principal Component Analysis (PCA) and Positive Matrix Factorization (PMF) Modeling in Southeast Hubei: A Typical Mining and Metallurgy Area in Central China

Author

Listed:
  • Hongling Chen

    (School of Environmental Science and Engineering, Hubei Polytechnic University, Huangshi 435003, China
    Hubei Key Laboratory of Mine Environmental Pollution Control and Remediation, Hubei Polytechnic University, Huangshi 435003, China
    Research Center of Ecological Environment Restoration and Resources Comprehensive Utilization, The First Geological Brigade of Hubei Geological Bureau, Huangshi 435000, China)

  • Dandan Wu

    (School of Environmental Science and Engineering, Hubei Polytechnic University, Huangshi 435003, China
    Hubei Key Laboratory of Mine Environmental Pollution Control and Remediation, Hubei Polytechnic University, Huangshi 435003, China
    Research Center of Ecological Environment Restoration and Resources Comprehensive Utilization, The First Geological Brigade of Hubei Geological Bureau, Huangshi 435000, China)

  • Qiao Wang

    (School of Environmental Science and Engineering, Hubei Polytechnic University, Huangshi 435003, China
    Hubei Key Laboratory of Mine Environmental Pollution Control and Remediation, Hubei Polytechnic University, Huangshi 435003, China
    Research Center of Ecological Environment Restoration and Resources Comprehensive Utilization, The First Geological Brigade of Hubei Geological Bureau, Huangshi 435000, China)

  • Lihu Fang

    (Research Center of Ecological Environment Restoration and Resources Comprehensive Utilization, The First Geological Brigade of Hubei Geological Bureau, Huangshi 435000, China)

  • Yanan Wang

    (Research Center of Ecological Environment Restoration and Resources Comprehensive Utilization, The First Geological Brigade of Hubei Geological Bureau, Huangshi 435000, China)

  • Changlin Zhan

    (School of Environmental Science and Engineering, Hubei Polytechnic University, Huangshi 435003, China
    Hubei Key Laboratory of Mine Environmental Pollution Control and Remediation, Hubei Polytechnic University, Huangshi 435003, China
    Research Center of Ecological Environment Restoration and Resources Comprehensive Utilization, The First Geological Brigade of Hubei Geological Bureau, Huangshi 435000, China)

  • Jiaquan Zhang

    (School of Environmental Science and Engineering, Hubei Polytechnic University, Huangshi 435003, China
    Hubei Key Laboratory of Mine Environmental Pollution Control and Remediation, Hubei Polytechnic University, Huangshi 435003, China
    Research Center of Ecological Environment Restoration and Resources Comprehensive Utilization, The First Geological Brigade of Hubei Geological Bureau, Huangshi 435000, China)

  • Shici Zhang

    (School of Environment and Health, Jianghan University, Wuhan 430056, China)

  • Junji Cao

    (Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China)

  • Shihua Qi

    (School of Environmental Studies, China University of Geosciences, Wuhan 430074, China)

  • Shan Liu

    (School of Environmental Science and Engineering, Hubei Polytechnic University, Huangshi 435003, China
    Hubei Key Laboratory of Mine Environmental Pollution Control and Remediation, Hubei Polytechnic University, Huangshi 435003, China
    Research Center of Ecological Environment Restoration and Resources Comprehensive Utilization, The First Geological Brigade of Hubei Geological Bureau, Huangshi 435000, China)

Abstract

To develop accurate air pollution control policies, it is necessary to determine the sources of different types of fugitive dust in mining and metallurgy areas. A method integrating principal component analysis and a positive matrix factorization model was used to identify the potential sources of heavy metals (HMs) in five different types of fugitive dust. The results showed accumulation of Mn, Fe, and Cu can be caused by natural geological processes, which contributed 38.55% of HMs. The Ni and Co can be released from multiple transport pathways and accumulated through local deposition, which contributed 29.27%. Mining-related activities contributed 20.11% of the HMs and showed a relatively high accumulation of As, Sn, Zn, and Cr, while traffic-related emissions contributed the rest of the HMs and were responsible for the enrichment in Pb and Cd. The co-applied source-identification models improved the precision of the identification of sources, which revealed that the local geological background and mining-related activities were mainly responsible for the accumulation of HMs in the area. The findings can help the government develop targeted control strategies for HM dispersion efficiency.

Suggested Citation

  • Hongling Chen & Dandan Wu & Qiao Wang & Lihu Fang & Yanan Wang & Changlin Zhan & Jiaquan Zhang & Shici Zhang & Junji Cao & Shihua Qi & Shan Liu, 2022. "The Predominant Sources of Heavy Metals in Different Types of Fugitive Dust Determined by Principal Component Analysis (PCA) and Positive Matrix Factorization (PMF) Modeling in Southeast Hubei: A Typi," IJERPH, MDPI, vol. 19(20), pages 1-16, October.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:20:p:13227-:d:941986
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/20/13227/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/20/13227/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wei Chen & Faming Zeng & Wei Liu & Jianwei Bu & Guofeng Hu & Songshi Xie & Hongyan Yao & Hong Zhou & Shihua Qi & Huanfang Huang, 2021. "Organochlorine Pesticides in Karst Soil: Levels, Distribution, and Source Diagnosis," IJERPH, MDPI, vol. 18(21), pages 1-16, November.
    2. Lian Chen & Genmei Wang & Shaohua Wu & Zhen Xia & Zhenang Cui & Chunhui Wang & Shenglu Zhou, 2019. "Heavy Metals in Agricultural Soils of the Lihe River Watershed, East China: Spatial Distribution, Ecological Risk, and Pollution Source," IJERPH, MDPI, vol. 16(12), pages 1-17, June.
    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. Liping Li & Lanfang Han & Aiju Liu & Fayuan Wang, 2022. "Imperfect but Hopeful: New Advances in Soil Pollution and Remediation," IJERPH, MDPI, vol. 19(16), pages 1-3, August.
    2. Wei Chen & Bo Peng & Huanfang Huang & Ye Kuang & Zhe Qian & Wenting Zhu & Wei Liu & Yuan Zhang & Yuan Liao & Xiufang Zhao & Hong Zhou & Shihua Qi, 2021. "Distribution and Potential Sources of OCPs and PAHs in Waters from the Danshui River Basin in Yichang, China," IJERPH, MDPI, vol. 19(1), pages 1-14, December.
    3. Claudia Campanale & Daniela Losacco & Mariangela Triozzi & Carmine Massarelli & Vito Felice Uricchio, 2022. "An Overall Perspective for the Study of Emerging Contaminants in Karst Aquifers," Resources, MDPI, vol. 11(11), pages 1-21, November.
    4. Lian Chen & Shenglu Zhou & Qiong Yang & Qingrong Li & Dongxu Xing & Yang Xiao & Cuiming Tang, 2021. "Pb Content, Risk Level and Primary-Source Apportionment in Wheat and Rice Grains in the Lihe River Watershed, Taihu Region, Eastern China," IJERPH, MDPI, vol. 18(12), pages 1-17, June.
    5. Jun Guo & Zhiying Wei & Chao Zhang & Cong Li & Liangliang Dai & Xin Lu & Kaiqi Xiao & Xiong Mao & Xiuwen Yang & Yiming Jing & Jiaquan Zhang & Wei Chen & Shihua Qi, 2022. "Characteristics and DGT Based Bioavailability of Cadmium in the Soil–Crop Systems from the East Edge of the Dongting Lake, China," IJERPH, MDPI, vol. 20(1), pages 1-11, December.
    6. Zhe Yang & Zhenwu Xiong & Wenhao Xue & Yuhong Zhou, 2022. "The Impact of Pollution Fee Reform on the Emission of Water Pollutants: Evidence from Manufacturing Enterprises in China," IJERPH, MDPI, vol. 19(17), pages 1-17, August.
    7. Roxana Maria Madjar & Gina Vasile Scăețeanu & Mirela Alina Sandu, 2024. "Sustainable Water Monitoring via Analytical Techniques and Protocols Applied in the Assessment of Organochlorine Pesticides," Sustainability, MDPI, vol. 16(13), pages 1-37, June.

    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:19:y:2022:i:20:p:13227-:d:941986. 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.