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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References
Benchrif A, Wheida A, Tahri M et al., 2021. Air quality during three covid-19 lockdown phases: AQI, PM2.5 and NO2 assessment in cities with more than 1 million inhabitants. Sustainable Cities and Society, 74: 103170. doi: https://doi.org/10.1016/j.scs.2021.103170
Bhawar R L, Fadnavis S, Kumar V et al., 2021. Radiative impacts of aerosols during COVID-19 lockdown period over the Indian region. Frontiers in Environmental Science, 9: 746090. doi: https://doi.org/10.3389/fenvs.2021.746090
Chen B, Huang Y, Huang J P et al., 2021. Using Lidar and historical similar meteorological fields to evaluate the impact of anthropogenic control on dust weather during COVID-19. Frontiers in Environmental Science, 9: 806094. doi: https://doi.org/10.3389/fenvs.2021.806094
Chen W W, Tong D Q, Zhang S C et al., 2017. Local PM10 and PM2.5 emission inventories from agricultural tillage and harvest in northeastern China. Journal of Environmental Sciences, 57: 15–23. doi: https://doi.org/10.1016/j.jes.2016.02.024
Collivignarelli M C, Abbà A, Bertanza G et al., 2020. Lockdown for CoViD-2019 in Milan: what are the effects on air quality. Science of the Total Environment, 732: 139280. doi: https://doi.org/10.1016/j.scitotenv.2020.139280
Fernald F G, 1984. Analysis of atmospheric lidar observations: some comments. Applied Optics, 23(5): 652–653. doi: https://doi.org/10.1364/AO.23.000652
Fu J, Song S T, Guo L et al., 2022. Interprovincial joint prevention and control of open straw burning in Northeast China: implications for atmospheric environment management. Remote Sensing, 14(11): 2528. doi: https://doi.org/10.3390/rs14112528
Gobbi G P, Barnaba F, Giorgi R et al., 2000. Altitude-resolved properties of a Saharan dust event over the Mediterranean. Atmospheric Environment, 34(29–30):. doi: https://doi.org/10.1016/S1352-2310(00)00194-1
He J J, Gong S L, Yu Y et al., 2017. Air pollution characteristics and their relation to meteorological conditions during 2014–2015 in major Chinese cities. Environmental Pollution, 223: 484–496. doi: https://doi.org/10.1016/j.envpol.2017.01.050
Hua J X, Zhang Y X, de Foy B et al., 2021. Quantitative estimation of meteorological impacts and the COVID-19 lockdown reductions on NO2 and PM2.5 over the Beijing area using generalized additive models (GAM). Journal of Environmental Management, 291: 112676. doi: https://doi.org/10.1016/j.jenvman.2021.112676
Li B, Shi X F, Liu Y P et al., 2020. Long-term characteristics of criteria air pollutants in megacities of Harbin-Changchun megalopolis, Northeast China: spatiotemporal variations, source analysis, and meteorological effects. Environmental Pollution, 267: 115441. doi: https://doi.org/10.1016/j.envpol.2020.115441
Lian X B, Huang J P, Huang R J et al., 2020. Impact of city lockdown on the air quality of COVID-19-hit of Wuhan city. Science of the Total Environment, 742: 140556. doi: https://doi.org/10.1016/j.scitotenv.2020.140556
Liu Z, Wang R N, Liu Z T, 2022. Research on the satisfaction degree characteristics of residential public resources under lockdowns for pandemic prevention and control: a case study in the Changchun. Sustainability, 14(8): 4385. doi: https://doi.org/10.3390/su14084385
Lu Chengwei, Fu Jing, Liu Xiufen et al., 2021. Air pollution and meteorological conditions significantly contribute to the worsening of allergic conjunctivitis: a regional 20-city, 5-year study in Northeast China. Light:Science & Applications, 10: 190. doi: https://doi.org/10.1038/s41377-021-00630-6
Murayama T, Okamoto H, Kaneyasu N et al., 1999. Application of lidar depolarization measurement in the atmospheric boundary layer: effects of dust and sea-salt particles. Journal of Geophysical Research:Atmospheres, 104(D24): 31781–31792. doi: https://doi.org/10.1029/1999JD900503
Nakada L Y K, Urban R C, 2020. COVID-19 pandemic: impacts on the air quality during the partial lockdown in São Paulo state, Brazil. Science of the Total Environment, 730: 139087. doi: https://doi.org/10.1016/j.scitotenv.2020.139087
Nemuc A, Vasilescu J, Talianu C et al., 2013. Assessment of aerosol’s mass concentrations from measured linear particle depolarization ratio (vertically resolved) and simulations. Atmospheric Measurement Techniques, 6(11): 3243–3255. doi: https://doi.org/10.5194/amt-6-3243-2013
Sharma S, Zhang M Y, Anshika et al., 2020. Effect of restricted emissions during COVID-19 on air quality in India. Science of the Total Environment, 728: 138878. doi: https://doi.org/10.1016/j.scitotenv.2020.138878
Shen Z X, Cao J J, Arimoto R et al., 2007. Chemical composition and source characterization of spring aerosol over Horqin sand land in northeastern China. Journal of Geophysical Research:Atmospheres, 112(D14): D14315. doi: https://doi.org/10.1029/2006JD007991
Thomas A, Kanawade V P, Sarangi C et al., 2021. Effect of COVID-19 shutdown on aerosol direct radiative forcing over the Indo-Gangetic Plain outflow region of the Bay of Bengal. Science of the Total Environment, 782: 146918. doi: https://doi.org/10.1016/j.scitotenv.2021.146918
Tian P F, Cao X J, Zhang L et al., 2017. Aerosol vertical distribution and optical properties over China from long-term satellite and ground-based remote sensing. Atmospheric Chemistry and Physics, 17(4): 2509–2523. doi: https://doi.org/10.5194/acp-17-2509-2017
Tobías A, Carnerero C, Reche C et al., 2020. Changes in air quality during the lockdown in Barcelona (Spain) one month into the SARS-CoV-2 epidemic. Science of the Total Environment, 726: 138540. doi: https://doi.org/10.1016/j.scitotenv.2020.138540
Wang P, Che H Z, Zhang X C et al., 2010. Aerosol optical properties of regional background atmosphere in Northeast China. Atmospheric Environment, 44(35): 4404–4412. doi: https://doi.org/10.1016/j.atmosenv.2010.07.043
Wang X M, Dong Z B, Zhang J W et al., 2004. Modern dust storms in China: an overview. Journal of Arid Environments, 58(4): 559–574. doi: https://doi.org/10.1016/j.jaridenv.2003.11.009
Xie C B, Nishizawa T, Sugimoto N et al., 2008. Characteristics of aerosol optical properties in pollution and Asian dust episodes over Beijing, China. Applied Optics, 47(27): 4945–4951. doi: https://doi.org/10.1364/AO.47.004945
Yin Z P, Yi F, Liu F C et al., 2021. Long-term variations of aerosol optical properties over Wuhan with polarization lidar. Atmospheric Environment, 259: 118508. doi: https://doi.org/10.1016/j.atmosenv.2021.118508
Zangari S, Hill D T, Charette A T et al., 2020. Air quality changes in New York City during the COVID-19 pandemic. Science of the Total Environment, 742: 140496. doi: https://doi.org/10.1016/j.scitotenv.2020.140496
Zhao H J, Gui K, Ma Y J et al., 2022. Effects of different aerosols on the air pollution and their relationship with meteorological parameters in North China Plain. Frontiers in Environmental Science, 10: 814736. doi: https://doi.org/10.3389/fenvs.2022.814736
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Foundation item: the Key Research Program of Frontier Sciences, Chinese Academy of Sciences (No. QYZDB-SSW-DQC045), the National Natural Science Foundation of China (No. 41775116)
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Chen, W., Duanmu, L., Qin, Y. et al. Lockdown-induced Urban Aerosol Change over Changchun, China During COVID-19 Outbreak with Polarization LiDAR. Chin. Geogr. Sci. 32, 824–833 (2022). https://doi.org/10.1007/s11769-022-1303-3
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DOI: https://doi.org/10.1007/s11769-022-1303-3