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Hourly organic tracers-based source apportionment of PM2.5 before and during the Covid-19 lockdown in suburban Shanghai, China: Insights into regional transport influences and response to urban emission reductions.
Wang, Shan; Wang, Qiongqiong; Zhu, Shuhui; Zhou, Min; Qiao, Liping; Huang, Dandan; Ma, Yingge; Lu, Yiqun; Huang, Cheng; Fu, Qingyan; Duan, Yusen; Yu, Jian Zhen.
  • Wang S; Division of Environment & Sustainability, The Hong Kong University of Science & Technology, Clear Water Bay, Hong Kong, China.
  • Wang Q; Department of Chemistry, The Hong Kong University of Science & Technology, Clear Water Bay, Hong Kong, China.
  • Zhu S; Division of Environment & Sustainability, The Hong Kong University of Science & Technology, Clear Water Bay, Hong Kong, China.
  • Zhou M; State Environmental Protection Key Laboratory of the Formation and Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental Sciences, 508 Qinzhou Road, Xuhui District, Shanghai, 200233, China.
  • Qiao L; State Environmental Protection Key Laboratory of the Formation and Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental Sciences, 508 Qinzhou Road, Xuhui District, Shanghai, 200233, China.
  • Huang D; State Environmental Protection Key Laboratory of the Formation and Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental Sciences, 508 Qinzhou Road, Xuhui District, Shanghai, 200233, China.
  • Ma Y; State Environmental Protection Key Laboratory of the Formation and Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental Sciences, 508 Qinzhou Road, Xuhui District, Shanghai, 200233, China.
  • Lu Y; State Environmental Protection Key Laboratory of the Formation and Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental Sciences, 508 Qinzhou Road, Xuhui District, Shanghai, 200233, China.
  • Huang C; State Environmental Protection Key Laboratory of the Formation and Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental Sciences, 508 Qinzhou Road, Xuhui District, Shanghai, 200233, China.
  • Fu Q; State Environmental Protection Key Laboratory of the Formation and Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental Sciences, 508 Qinzhou Road, Xuhui District, Shanghai, 200233, China.
  • Duan Y; Shanghai Environmental Monitoring Center, 55 Sanjiang Road, Xuhui District, Shanghai, 200235, China.
  • Yu JZ; Shanghai Environmental Monitoring Center, 55 Sanjiang Road, Xuhui District, Shanghai, 200235, China.
Atmos Environ (1994) ; 289: 119308, 2022 Nov 15.
Article Dans Anglais | MEDLINE | ID: covidwho-2060426
ABSTRACT
During the Covid-19 outbreak, strict lockdown measures led to notable reductions in transportation-related emissions and significantly altered atmospheric pollution characteristics in urban and suburban areas. In this work, we compare comprehensive online measurements of PM2.5 major components and organic molecular markers in a suburban location in Shanghai, China before lockdown (Dec. 28, 2019 to Jan. 23, 2020) and during lockdown (Jan. 24 to Feb. 9, 2020). The NOx levels declined sharply by 59% from 44 to 18 ppb during the lockdown, while O3 rose two times higher to 42 ppb. The PM2.5 level dropped from 64 to 49 µg m-3 (-24%). The major components all showed reductions, with the reduction of nitrate most prominent at -58%, followed by organics at -19%, and sulfate at -17%. Positive matrix factorization analysis identifies fourteen source factors, including nine primary sources and five secondary sources. The secondary sources consist of sulfate-rich factor, nitrate-rich factor, and three secondary organic aerosol (SOA) factors, with SOA_I being anthropogenic SOA, SOA_II associated with later generation products of organic oxidation, and SOA_III being biogenic SOA. The combined secondary sources contributed to 69% and 63% (40 and 22 µg m-3) of PM2.5 before and during lockdown, respectively, among which the reductions in the nitrate-rich (-55%) factor was the most prominent. Among primary sources, large reductions (>80%) were observed in contributions from industrial, cooking, and vehicle emissions. Unlike some studies reporting that the restriction during the Covid-19 resulted in enhanced secondary sulfate and SOA formation, we observed decreases in both secondary inorganic and SOA formation despite the overall elevated oxidizing capacity in the suburban site. Our results indicate that the formation change in secondary inorganic and organic compounds in response to substantial reductions in urban primary precursors are different for urban and suburban environments.
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Texte intégral: Disponible Collection: Bases de données internationales Base de données: MEDLINE langue: Anglais Revue: Atmos Environ (1994) Année: 2022 Type de document: Article Pays d'affiliation: J.atmosenv.2022.119308

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Texte intégral: Disponible Collection: Bases de données internationales Base de données: MEDLINE langue: Anglais Revue: Atmos Environ (1994) Année: 2022 Type de document: Article Pays d'affiliation: J.atmosenv.2022.119308