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Substantial changes of chemical composition and sources of fine particles during the period of COVID-19 pandemic in Taiyuan, Northern China.
Wang, Yang; Wen, Yanping; Cui, Yang; Guo, Lili; He, Qiusheng; Li, Hongyan; Wang, Xinming.
  • Wang Y; School of Environmental Science and Engineering, Taiyuan University of Science and Technology, Taiyuan, 030024 China.
  • Wen Y; Taiyuan Center of Ecological and Environmental Monitor, Shanxi province, Taiyuan, China.
  • Cui Y; School of Environmental Science and Engineering, Taiyuan University of Science and Technology, Taiyuan, 030024 China.
  • Guo L; School of Environmental Science and Engineering, Taiyuan University of Science and Technology, Taiyuan, 030024 China.
  • He Q; School of Environmental Science and Engineering, Taiyuan University of Science and Technology, Taiyuan, 030024 China.
  • Li H; School of Environmental Science and Engineering, Taiyuan University of Science and Technology, Taiyuan, 030024 China.
  • Wang X; State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, China.
Air Qual Atmos Health ; 15(1): 47-58, 2022.
Article in English | MEDLINE | ID: covidwho-1371386
ABSTRACT
To better understand the effects of COVID-19 on air quality in Taiyuan, hourly in situ measurements of PM2.5(particulate matter with an aerodynamic diameter less than 2.5 mm) and chemical components (water-soluble ions, organic carbon (OC), elemental carbon (EC), and trace elements) were conducted before (P1 1 January-23 January 2020) and during (P2 24 January-15 February 2020) the coronavirus disease 2019 (COVID-19) outbreak. The average concentrations of PM2.5 dropped from 122.0 µg/m3 during P1 to 83.3 µg/m3 during P2. Compared with P1, except for fireworks burning-related chemical components (K+, Mg2+, K, Cu, Ba), the concentrations of other chemical components of PM2.5 decreased by14.9-69.8%. Although the large decrease of some emission sources, fireworks burning still resulted in the occurrence of pollution events during P2. The analysis results of positive matrix factorization model suggested that six PM2.5 sources changed significantly before and during the outbreak of the epidemic. The contributions of vehicle emission, industrial process, and dust to PM2.5 decreased from 23.1%, 3.5%, and 4.0% during P1 to 7.7%, 3.4%, and 2.3% during P2, respectively, whereas the contributions of secondary inorganic aerosol, fireworks burning, and coal combustion to PM2.5 increased from 62.0%, 1.8%, and 5.5% to 71.5%, 9.0%, and 6.2%, respectively. The source apportionment results were also affected by air mass transport. The largest reductions of vehicle emission, industrial process, and dust source were distinctly seen for the air masses from northwest. SUPPLEMENTARY INFORMATION The online version contains supplementary material available at 10.1007/s11869-021-01082-y.
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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Air Qual Atmos Health Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Air Qual Atmos Health Year: 2022 Document Type: Article