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Emission Inventory of Soil Fugitive Dust Sources with High Spatiotemporal Resolution: A Case Study of Daxing District, Beijing, China

Author

Listed:
  • Qianxi Liu

    (Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Yalan Liu

    (Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Shufu Liu

    (Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China)

  • Jinghai Zhao

    (Daxing District Ecological Environment Bureau of Beijing Municipality, Beijing 102699, China)

  • Bin Zhao

    (Daxing District Ecological Environment Bureau of Beijing Municipality, Beijing 102699, China)

  • Feng Zhou

    (Daxing District Ecological Environment Bureau of Beijing Municipality, Beijing 102699, China)

  • Dan Zhu

    (Daxing District Ecological Environment Bureau of Beijing Municipality, Beijing 102699, China)

  • Dacheng Wang

    (Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China)

  • Linjun Yu

    (Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Ling Yi

    (Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Gang Chen

    (Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

Abstract

Soil fugitive dust (SFD) is a significant contributor to environmental particulate matter (PM), which not only pollutes and affects air quality but also poses risks to human health. The emission inventory can provide a basis for the effective prevention and control of SFD pollution. However, current emission inventories with low resolution and frequency make it difficult to assess dust emissions accurately. Obtaining monthly high-resolution bare soil information is one of the solutions for compiling SFD emission inventories. Taking Daxing District, Beijing, as a case study, this study first extracted bare soil for each month of 2020, 2021, and 2022, respectively, using high-spatial-resolution remote sensing satellite data, and then constructed a 10 m-size emission grid and monthly SFD emission inventories based on the wind erosion equation by inputting vegetation cover factor, meteorological data, and soil erosion index. The total emissions of TSP, PM 10 , and PM 2.5 in Daxing District from 2020 to 2022 were 3996.54 tons, 359.26 tons, and 25.25 tons, respectively. Temporally, the SFD emissions showed a decreasing trend over the years and were mainly concentrated in the winter and spring seasons. Spatially, the SFD emissions were predominantly concentrated in the southern and northern areas. And the emissions of PM 10 exhibit a significantly stronger correlation with wind speed and the extent of bare soil area.

Suggested Citation

  • Qianxi Liu & Yalan Liu & Shufu Liu & Jinghai Zhao & Bin Zhao & Feng Zhou & Dan Zhu & Dacheng Wang & Linjun Yu & Ling Yi & Gang Chen, 2024. "Emission Inventory of Soil Fugitive Dust Sources with High Spatiotemporal Resolution: A Case Study of Daxing District, Beijing, China," Land, MDPI, vol. 13(12), pages 1-18, November.
  • Handle: RePEc:gam:jlands:v:13:y:2024:i:12:p:1991-:d:1526929
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    References listed on IDEAS

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    1. Chepil, W.S., 1958. "Soil Conditions That Influence Wind Erosion," Technical Bulletins 157333, United States Department of Agriculture, Economic Research Service.
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