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Journal of Atmospheric and Environmental Optics, Volume. 20, Issue 3, 325(2025)

Research on estimating PM2.5 concentration in China region based on spaceborne hyperspectral lidar

Author Affiliations
  • 1Aerospace Laser Technology and System Department, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, China
  • 2Wang Zhijiang Innovation Center for Laser, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, China
  • 3Key Laboratory of Space Laser Communication and Detection Technology, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, China
  • 4Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
  • 5Satellite Application Center for Ecology and Environment, Beijing 100094, China
  • 6Institute for Advanced Ocean Study, College of Information Science and Engineering, Ocean Remote Sensing Institute, Ocean University of China, Qingdao 266100, China
  • 7School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing 210044, China
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    Figures & Tables(8)
    The distribution of PM2.5 monitoring stations

    Fig. 1. The distribution of PM2.5 monitoring stations

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    Relative humidity fitting results in April 2023

    Fig. 2. Relative humidity fitting results in April 2023

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    The correlation coefficient between δa and ρRH as a function of index b

    Fig. 3. The correlation coefficient between δa and ρRH as a function of index b

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    The correlation coefficient between δa and ρRH as a function of index b. (a) Summer ; (b) autumn; (c) winter; (d) spring

    Fig. 4. The correlation coefficient between δa and ρRH as a function of index b. (a) Summer ; (b) autumn; (c) winter; (d) spring

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    Fitting results of PM2.5 mass concentration estimation formula. (a) Summer; (b) autumn; (c) winter; (d) spring

    Fig. 5. Fitting results of PM2.5 mass concentration estimation formula. (a) Summer; (b) autumn; (c) winter; (d) spring

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    PM2.5 mass concentration inversion results in China from June 2022 to May 2023 . (a) Summer ; (b) autumn; (c) winter; (d) spring

    Fig. 6. PM2.5 mass concentration inversion results in China from June 2022 to May 2023 . (a) Summer ; (b) autumn; (c) winter; (d) spring

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    Annual PM2.5 mass concentration distribution in China from June 2022 to May 2023

    Fig. 7. Annual PM2.5 mass concentration distribution in China from June 2022 to May 2023

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    Comparison between satellite estimated annual PM2.5 mass concentration and measured PM2.5 mass concentration

    Fig. 8. Comparison between satellite estimated annual PM2.5 mass concentration and measured PM2.5 mass concentration

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    . Research on estimating PM2.5 concentration in China region based on spaceborne hyperspectral lidar[J]. Journal of Atmospheric and Environmental Optics, 2025, 20(3): 325

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    Paper Information

    Category: "Advanced technology of lidar and its application in atmospheric environment" Albun

    Received: Mar. 20, 2025

    Accepted: --

    Published Online: Jun. 9, 2025

    The Author Email:

    DOI:10.3969/j.issn.1673-6141.2025.03.007

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology