Infrared and Laser Engineering, Volume. 49, Issue S2, 20200353(2020)

Spatial distribution characteristics of aerosols in Shijiazhuang and its surroundings based on mobile lidar cruise observations

He Qin1, Zheng Shuo2, Qin Kai1、*, Hu Mingyu1,3, and Zhang Yishu1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    Micro Pulse Lidar (MPL) has been widely used in the measurement of the vertical distribution of aerosols, while it is usually set to a fixed station and cannot observe the whole spatial distribution. In this study, the MiniMPL integrated in the car was used to carry out cruise observations of Shijiazhuang and its surrounding areas, and the continuous three-dimensional spatial distribution of aerosols in the area was mapped out. Results revealed that: (1) the air pollution in this area is influenced by the topography, the west Taihang Mountains block the transport of aerosols in the Fen River Basin, aerosols converge in the lowlands in front of east Taihang Mountains and spread eastward to the vast plains; (2) the aerosols convergence zone is formed from the northeast to the south of Shijiazhuang, the concentration of air pollutants gradually increases from the northeast to the south, in addition, there is a clear boundary between the polluted zone and the clean zone that in the northwest part of the Taihang Mountains and Yanshan Mountains; (3) the strong vertical dispersion of aerosols and high irregularity of particulate matter in the outer space of Shijiazhuang may result from multi-source mixing, and the differences of the aerosols height in the four directions may be caused by the uneven distribution of pollution sources.

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    He Qin, Zheng Shuo, Qin Kai, Hu Mingyu, Zhang Yishu. Spatial distribution characteristics of aerosols in Shijiazhuang and its surroundings based on mobile lidar cruise observations[J]. Infrared and Laser Engineering, 2020, 49(S2): 20200353

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    Paper Information

    Category: 大气光学

    Received: Aug. 27, 2020

    Accepted: Nov. 3, 2020

    Published Online: Feb. 5, 2021

    The Author Email: Kai Qin (qinkai@cumt.edu.cn)

    DOI:10.3788/irla20200353

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