Acta Optica Sinica, Volume. 41, Issue 9, 0928001(2021)

PM2.5 Concentration Identification Based on Lidar Detection

Songlin Fu1,2,3, Chenbo Xie1,3、*, Lu Li1,2,3, Zhiyuan Fang1,2,3, Hao Yang1,2,3, Bangxin Wang1,3, Dong Liu1,3, and Yingjian Wang1,3
Author Affiliations
  • 1Key Laboratory of Atmospheric Optics, Anhui Institute of Optics and Fine Mechanics, Hefei Institute of Physical Science, Chinese Academy of Sciences, Hefei, Anhui 230031, China
  • 2Science Island Branch of Graduate School, University of Science and Technology of China, Hefei, Anhui 230026, China
  • 3Advanced Laser Technology Laboratory of Anhui Province, Hefei, Anhui 230037, China
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    References(17)

    [4] Qin K, Wu L X, Wong M S et al. Trans-boundary aerosol transport during a winter haze episode in China revealed by ground-based lidar and CALIPSO satellite[J]. Atmospheric Environment, 141, 20-29(2016).

    [17] Yang Q Q, Yuan Q Q, Yue L W et al. The relationships between PM2.5 and aerosol optical depth (AOD) in mainland China: about and behind the spatio-temporal variations[J]. Environmental Pollution, 248, 526-535(2019).

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    Songlin Fu, Chenbo Xie, Lu Li, Zhiyuan Fang, Hao Yang, Bangxin Wang, Dong Liu, Yingjian Wang. PM2.5 Concentration Identification Based on Lidar Detection[J]. Acta Optica Sinica, 2021, 41(9): 0928001

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Sep. 14, 2020

    Accepted: Dec. 1, 2020

    Published Online: May. 8, 2021

    The Author Email: Xie Chenbo (cbxie@aiofm.ac.cn)

    DOI:10.3788/AOS202141.0928001

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