Journal of Atmospheric and Environmental Optics ›› 2021, Vol. 16 ›› Issue (1): 28-34.

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Pollution and Optical Characteristics of Heavy Pollution Process in Beijing Area in Spring

LI Ruofei1, ZHANG Xuehai1;2∗, DUAN Jinlong1, LIU Shu1   

  1. 1 School of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China; 2 Key Laboratory of Atmospheric Optics, Anhui Institute of Optics and Fine Mechanics, HFIPS, Chinese Academy of Sciences, Hefei 230031, China
  • Received:2019-10-10 Revised:2019-11-23 Online:2021-01-28 Published:2021-02-02
  • Contact: Xue-hai ZHANG E-mail:zhangxuehai2012@163.com
  • Supported by:
    Supported by National Natural Science Foundation of China Youth Fund (国家自然科学基金青年基金, 41701237), Scientific and Technological Project of Henan Province (河南省科技攻关项目, 182102310999), Youth Support Program for Special Funds for the Fundamental Research Funds for the Provincial Universities (省属高校基本科研业务费专项资金项目青年支持计划, 2017QNJH02), Doctoral Scientific Research Start-up Foundation from Henan University of Technology (河南工业大学高层次人才科研启动基金项目, 2017BS026)

Abstract: A heavy air pollution process in Beijing was observed from March 29 to April 10, 2018, and its pollution characteristics and optical characteristics were analyzed by using air quality monitoring data and the observation data of AERONET Beijing station. Combined with HYSPLIT airflow backward track mode, the temporal and  spatial transport characteristics of atmospheric particles during this heavy pollution were comprehensively studied. The results show that, the heavy pollution process was dominated by fine mode aerosols with weak absorption, and the PM2:5 concentration and aerosol optical characteristics were significantly affected by the meteorological element during the pollution process. The results also show that the results from AERONET are in good agreement with those from the ground air monitoring stations, which indicates that AERONET results can be adapted to the study of aerosol optical characteristics in heavy air pollution process.

Key words: air pollution, aerosol, optical characteristics, pollution characteristics

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