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Lockdown-induced Urban Aerosol Change over Changchun, China During COVID-19 Outbreak with Polarization LiDAR.
Chen, Weiwei; Duanmu, Lingjian; Qin, Yang; Yang, Hongwu; Fu, Jing; Lu, Chengwei; Feng, Wei; Guo, Li.
  • Chen W; Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102 China.
  • Duanmu L; Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102 China.
  • Qin Y; College of Biological and Agricultural Engineering, Jilin University, Changchun, 130022 China.
  • Yang H; Jilin Provincial Ecological Environment Monitoring Center, Changchun, 130012 China.
  • Fu J; Hongke Photonics Company, Liaoyuan, 136200 China.
  • Lu C; Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102 China.
  • Feng W; The Department of Ophthalmology, The First Hospital of Jilin University, Changchun, 130021 China.
  • Guo L; Key Lab of Groundwater Resources and Environment, Jilin University, Changchun, 130021 China.
Chin Geogr Sci ; 32(5): 824-833, 2022.
Article in English | MEDLINE | ID: covidwho-2007247
ABSTRACT
Depending on various government policies, COVID-19 (Corona Virus Disease-19) lockdowns have had diverse impacts on global aerosol concentrations. In 2022, Changchun, a provincial capital city in Northeast China, suffered a severe COVID-19 outbreak and implemented a very strict lockdown that lasted for nearly two months. Using ground-based polarization Light Detection and Ranging (LiDAR), we detected real-time aerosol profile parameters (EC, extinction coefficient; DR, depolarization ratio; AOD, aerosol optical depth), as well as air-quality and meteorological indexes from 1 March to 30 April in 2021 and 2022 to quantify the effects of lockdown on aerosol concentrations. The period in 2022 was divided into three stages pre-lockdown (1-10 March), strict lockdown (11 March to 10 April), and partial lockdown (11-30 April). The results showed that, during the strict lockdown period, compared with the pre-lockdown period, there were substantial reductions in aerosol parameters (EC and AOD), and this was consistent with the concentrations of the atmospheric pollutants PM2.5 (particulate matter with an aerodynamic diameter ≤ 2.5 µm) and PM10 (particulate matter with an aerodynamic diameter ≤ 10 µm), and the O3 concentration increased by 8.3%. During the strict lockdown, the values of EC within 0-1 km and AOD decreased by 16.0% and 11.2%, respectively, as compared to the corresponding period in 2021. Lockdown reduced the conventional and organized emissions of air pollutants, and it clearly delayed the time of seasonal emissions from agricultural burning; however, it did not decrease the number of farmland fire points. Considering meteorological factors and eliminating the influence of wind-blown dust events, the results showed that reductions from conventional organized emission sources during the strict lockdown contributed to a 30% air-quality improvement and a 22% reduction in near-surface extinction (0-2 km). Aerosols produced by urban epidemic prevention and disinfection can also be identified using the EC. Regarding seasonal sources of agricultural straw burning, the concentrated burning induced by the epidemic led to the occurrence of heavy pollution from increased amounts of atmospheric aerosols, with a contribution rate of 62%. These results indicate that there is great potential to further improve air quality in the local area, and suggest that the comprehensive use of straw accompanied by reasonable planned burning is the best way to achieve this.
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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Chin Geogr Sci Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Chin Geogr Sci Year: 2022 Document Type: Article