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Analyzing Characteristics of Particulate Matter Pollution in Open-Pit Coal Mines: Implications for Green Mining

Author

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  • Huaiting Luo

    (State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology, Xuzhou 221116, China
    High-Tech Research Center for Open Pit Mines, China University of Mining and Technology, Xuzhou 221116, China
    Haerwusu Open-Pit Coal Mine, China Shenhua Energy Co. Ltd., Ordos 017100, China)

  • Wei Zhou

    (State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology, Xuzhou 221116, China
    High-Tech Research Center for Open Pit Mines, China University of Mining and Technology, Xuzhou 221116, China)

  • Izhar Mithal Jiskani

    (State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology, Xuzhou 221116, China
    High-Tech Research Center for Open Pit Mines, China University of Mining and Technology, Xuzhou 221116, China)

  • Zhiming Wang

    (State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology, Xuzhou 221116, China
    High-Tech Research Center for Open Pit Mines, China University of Mining and Technology, Xuzhou 221116, China)

Abstract

The particulate pollution in the open-pit coal mines of China is particularly severe in winter. The aim of this study is to understand the pollution characteristics of particulate matter (PM) in winter and provide a basis for the prevention and control of particulate pollution. We took the problem of PM concentration at the bottom of the Haerwusu Open-pit Coal Mine (HOCM) as the research object. Dust monitoring equipment at two measurement points at different heights were positioned for continuous monitoring of the PM concentration. The data for three months were gathered. Statistical analyses were performed to analyze the variation characteristics of the PM and its relationship with meteorological factors. The results show that the average PM concentration in the study area is below the average daily limit of the China National Ambient Air Quality Standard (GB 3095-2012). However, the average concentration of PM10 exceeded the national limit in December. The order of PM concentration is observed as December > January > February. The correlation of PM is found to be positive with humidity and negative with wind speed. Temperature is found to be positively correlated with PM in December, while it is negative in January. At the same time, the temperature difference in December is negatively correlated with PM concentration. Under the combined action of multiple meteorological factors, the magnitude of the impact on the PM concentration at the bottom of the pit in winter is humidity > temperature > wind speed > temperature difference (inverse temperature intensity). In conclusion, PM2.5 is found to be more sensitive to environmental factors. The results of this study are particularly useful to progress in green mining.

Suggested Citation

  • Huaiting Luo & Wei Zhou & Izhar Mithal Jiskani & Zhiming Wang, 2021. "Analyzing Characteristics of Particulate Matter Pollution in Open-Pit Coal Mines: Implications for Green Mining," Energies, MDPI, vol. 14(9), pages 1-19, May.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:9:p:2680-:d:549929
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    References listed on IDEAS

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    1. Jiskani, Izhar Mithal & Cai, Qingxiang & Zhou, Wei & Ali Shah, Syed Ahsan, 2021. "Green and climate-smart mining: A framework to analyze open-pit mines for cleaner mineral production," Resources Policy, Elsevier, vol. 71(C).
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    4. Jarosław Brodny & Magdalena Tutak, 2020. "The Use of Artificial Neural Networks to Analyze Greenhouse Gas and Air Pollutant Emissions from the Mining and Quarrying Sector in the European Union," Energies, MDPI, vol. 13(8), pages 1-31, April.
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