Hujia Zhao1,2, Huizheng Che 1, Yaqiang Wang1, Yunsheng Dong3, Yanjun Ma2, Xiaoxiao Li4, Ye Hong2, Hongbin Yang2, Yuche Liu2, Yangfeng Wang2, Ke Gui1, Tianze Sun1, Yu Zheng1, Xiaoye Zhang1

State Key Laboratory of Severe Weather (LASW) and Key Laboratory for Atmospheric Chemistry, Institute of Atmospheric Composition, Chinese Academy of Meteorological Sciences, CMA, Beijing 100081, China
Institute of Atmospheric Environment, China Meteorological Administration, Shenyang 110016, China
Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Science, Hefei, Anhui 230031, China
Dalian Municipal Meteorological Observatory, Dalian 116001, China

Received: September 20, 2017
Revised: November 28, 2017
Accepted: November 29, 2017
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Cite this article:
Zhao, H., Che, H., Wang, Y., Dong, Y., Ma, Y., Li, X., Hong, Y., Yang, H., Liu, Y., Wang, Y., Gui, K., Sun, T., Zheng, Y. and Zhang, X. (2018). Aerosol Vertical Distribution and Typical Air Pollution Episodes over Northeastern China during 2016 Analyzed by Ground-based Lidar. Aerosol Air Qual. Res. 18: 918-937.


  • High aerosol and lower PBL were the main factors to visibility deterioration.
  • Continuous extinction coefficient indicated anthropogenic and natural emissions.
  • Dust, Anthropogenic-pollutant, Biomass-burning can affect Northeastern region.


The industrial city of Shenyang in northeastern China has undergone a period of rapid development; long-term aerosol vertical properties could be relevant to more clearly understanding local emissions and their regional transportation. Aerosol optical depth (AOD), planetary boundary layer (PBL) height, and the vertical profiles of extinction coefficient, were measured and analyzed with ground-based Lidar during 2016 in Shenyang. Ground-level particulate matter mass concentrations, meteorological parameters, backward trajectories, and Moderate Resolution Imaging Spectroradiometer products were used to study the pollutant sources in four cases using the potential source contribution function and concentration-weighted trajectory methods. The results indicate that the AOD was 0.10 ± 0.10 to 0.23 ± 0.34 from January to May, and approximately 0.49 ± 0.39 in July. The PBL height was highest in March (1318.7 ± 696.5 m) and lowest in winter (877.1 ± 508.1 m to 950.7 ± 762.3 m). The mass concentrations of PM10, PM2.5, and PM1.0 were highest in January at 148.2 ± 77.8 µg m–3, 106.0 ± 58.8 µg m–3, and 33.8 ± 20.5 µg m–3; and lowest in June at 56.2 ± 27.8 µg m–3, 33.7 ± 18.3 µg m–3, and 9.3 ± 6.0 µg m–3, respectively. The concentrations of SO2 and CO were higher in winter and lower in summer, whereas O3 concentrations were higher in summer and lower in winter. The monthly extinction coefficient was affected by dust events in spring and new particle generation in summer, as well as by biomass-burning and coal-burning emissions in autumn and winter. Four pollution sources—from northwestern, eastern, northern, and northeastern China—were selected to analyze the different paths and sources of pollutants affecting Shenyang. The results of this paper will be helpful in the study of continuous year-round aerosol vertical properties and the regional pollution features of northeast China.

Keywords: Aerosol vertical distribution; Extinction coefficient; Ground-based lidar; Northeastern China


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