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The influence of COVID-19 pandemic on PM2.5 air quality in Northern Taiwan from Q1 2020 to Q2 2021.
Nguyen, Thi-Thuy-Nghiem; Le, Thi-Cuc; Sung, Yu-Ting; Cheng, Fang-Yi; Wen, Huan-Cheng; Wu, Cheng-Hung; Aggarwal, Shankar G; Tsai, Chuen-Jinn.
  • Nguyen TT; Institute of Environmental Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan.
  • Le TC; Institute of Environmental Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan. Electronic address: cuc.env@gmail.com.
  • Sung YT; Institute of Environmental Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan.
  • Cheng FY; Department of Atmospheric Sciences, National Central University, Taoyuan, 320, Taiwan.
  • Wen HC; Department of Environmental Protection, Taiwan Power Company, Taipei, 100208, Taiwan.
  • Wu CH; Department of Environmental Protection, Taiwan Power Company, Taipei, 100208, Taiwan.
  • Aggarwal SG; Environmental Sciences & Biomedical Metrology Division, CSIR-National Physical Laboratory, New Delhi, India.
  • Tsai CJ; Institute of Environmental Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan. Electronic address: cjtsai@nycu.edu.tw.
J Environ Manage ; 343: 118252, 2023 Oct 01.
Article in English | MEDLINE | ID: covidwho-2328110
ABSTRACT
The study aimed to investigate the PM2.5 variations in different periods of COVID-19 control measures in Northern Taiwan from Quarter 1 (Q1) 2020 to Quarter 2 (Q2) 2021. PM2.5 sources were classified based on long-range transport (LRT) or local pollution (LP) in three study periods one China lockdown (P1), and two restrictions in Taiwan (P2 and P3). During P1 the average PM2.5 concentrations from LRT (LRT-PM2.5-P1) were higher at Fuguei background station by 27.9% and in the range of 4.9-24.3% at other inland stations compared to before P1. The PM2.5 from LRT/LP mix or pure LP (Mix/LP-PM2.5-P1) was also higher by 14.2-39.9%. This increase was due to higher secondary particle formation represented by the increase in secondary ions (SI) and organic matter in PM2.5-P1 with the largest proportion of 42.17% in PM2.5 from positive matrix factorization (PMF) analysis. A similar increasing trend of Mix/LP-PM2.5 was found in P2 when China was still locked down and Taiwan was under an early control period but the rapidly increasing infected cases were confirmed. The shift of transportation patterns from public to private to avoid virus infection explicated the high correlation of the increasing infected cases with the increasing PM2.5. In contrast, the decreasing trend of LP-PM2.5-P3 was observed in P3 with the PM2.5 biases of ∼45% at all the stations when China was not locked down but Taiwan implemented a semi-lockdown. The contribution of gasoline vehicle sources in PM2.5 was reduced from 20.3% before P3 to 10% in P3 by chemical signatures and source identification using PMF implying the strong impact of strict control measures on vehicle emissions. In summary, PM2.5 concentrations in Northern Taiwan were either increased (P1 and P2) or decreased (P3) during the COVID-19 pandemic depending on control measures, source patterns and meteorological conditions.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Air Pollutants / Air Pollution / COVID-19 Type of study: Observational study Limits: Humans Country/Region as subject: Asia Language: English Journal: J Environ Manage Year: 2023 Document Type: Article Affiliation country: J.jenvman.2023.118252

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Air Pollutants / Air Pollution / COVID-19 Type of study: Observational study Limits: Humans Country/Region as subject: Asia Language: English Journal: J Environ Manage Year: 2023 Document Type: Article Affiliation country: J.jenvman.2023.118252