• Infrared and Laser Engineering
  • Vol. 49, Issue S2, 20200324 (2020)
Zhao Yuefeng, Gao Jing, Pan Jie, Wang Xu, Zhang Yurong, Li Hui, Wang Yanqi, Duan Mengjun, Yue Weiwei, Cai Yangjian, Xu Huaqiang, and Wang Jingjing**
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  • [in Chinese]
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    DOI: 10.3788/irla20200324 Cite this Article
    Zhao Yuefeng, Gao Jing, Pan Jie, Wang Xu, Zhang Yurong, Li Hui, Wang Yanqi, Duan Mengjun, Yue Weiwei, Cai Yangjian, Xu Huaqiang, Wang Jingjing*. Detection of regional atmospheric particulate matter based on lidar[J]. Infrared and Laser Engineering, 2020, 49(S2): 20200324 Copy Citation Text show less

    Abstract

    Aerosols have been identified as one of the uncertainties in the evaluation of radiative forcing. Lidar is effective remote sensing tool for aerosols observation. The vehicle-mounted lidar was used to continuously observe the particle concentration in Anping County by combining fixed vertical detection and mobile navigation monitoring. The results of fixed detection are in line with the trend of air quality rising first and then falling in accordance with the trend of the Ministry of Environmental Protection. Mobile navigation detection can quickly and accurately locate the location of the pollution source. Finally, the results of navigation monitoring before and after spraying the dust suppressant are compared, and it is concluded that spraying the dust suppressant can effectively reduce the concentration of particulate matter.
    Zhao Yuefeng, Gao Jing, Pan Jie, Wang Xu, Zhang Yurong, Li Hui, Wang Yanqi, Duan Mengjun, Yue Weiwei, Cai Yangjian, Xu Huaqiang, Wang Jingjing*. Detection of regional atmospheric particulate matter based on lidar[J]. Infrared and Laser Engineering, 2020, 49(S2): 20200324
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