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The influence of COVID-19 pandemic on PM(2.5) air quality in Northern Taiwan from Q1 2020 to Q2 2021
The study aimed to investigate the PM(2.5) variations in different periods of COVID-19 control measures in Northern Taiwan from Quarter 1 (Q1) 2020 to Quarter 2 (Q2) 2021. PM(2.5) sources were classified based on long-range transport (LRT) or local pollution (LP) in three study periods: one China lo...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10208270/ https://www.ncbi.nlm.nih.gov/pubmed/37247544 http://dx.doi.org/10.1016/j.jenvman.2023.118252 |
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author | 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 |
author_facet | 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 |
author_sort | Nguyen, Thi-Thuy-Nghiem |
collection | PubMed |
description | The study aimed to investigate the PM(2.5) variations in different periods of COVID-19 control measures in Northern Taiwan from Quarter 1 (Q1) 2020 to Quarter 2 (Q2) 2021. PM(2.5) 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 PM(2.5) concentrations from LRT (LRT-PM(2.5)(-)(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 PM(2.5) from LRT/LP mix or pure LP (Mix/LP-PM(2.5)(-)(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 PM(2.5-P1) with the largest proportion of 42.17% in PM(2.5) from positive matrix factorization (PMF) analysis. A similar increasing trend of Mix/LP-PM(2.5) 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 PM(2.5). In contrast, the decreasing trend of LP-PM(2.5-P3) was observed in P3 with the PM(2.5) 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 PM(2.5) 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, PM(2.5) 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. |
format | Online Article Text |
id | pubmed-10208270 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-102082702023-05-25 The influence of COVID-19 pandemic on PM(2.5) 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 J Environ Manage Research Article The study aimed to investigate the PM(2.5) variations in different periods of COVID-19 control measures in Northern Taiwan from Quarter 1 (Q1) 2020 to Quarter 2 (Q2) 2021. PM(2.5) 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 PM(2.5) concentrations from LRT (LRT-PM(2.5)(-)(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 PM(2.5) from LRT/LP mix or pure LP (Mix/LP-PM(2.5)(-)(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 PM(2.5-P1) with the largest proportion of 42.17% in PM(2.5) from positive matrix factorization (PMF) analysis. A similar increasing trend of Mix/LP-PM(2.5) 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 PM(2.5). In contrast, the decreasing trend of LP-PM(2.5-P3) was observed in P3 with the PM(2.5) 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 PM(2.5) 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, PM(2.5) 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. Elsevier Ltd. 2023-10-01 2023-05-24 /pmc/articles/PMC10208270/ /pubmed/37247544 http://dx.doi.org/10.1016/j.jenvman.2023.118252 Text en © 2023 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Research Article 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 The influence of COVID-19 pandemic on PM(2.5) air quality in Northern Taiwan from Q1 2020 to Q2 2021 |
title | The influence of COVID-19 pandemic on PM(2.5) air quality in Northern Taiwan from Q1 2020 to Q2 2021 |
title_full | The influence of COVID-19 pandemic on PM(2.5) air quality in Northern Taiwan from Q1 2020 to Q2 2021 |
title_fullStr | The influence of COVID-19 pandemic on PM(2.5) air quality in Northern Taiwan from Q1 2020 to Q2 2021 |
title_full_unstemmed | The influence of COVID-19 pandemic on PM(2.5) air quality in Northern Taiwan from Q1 2020 to Q2 2021 |
title_short | The influence of COVID-19 pandemic on PM(2.5) air quality in Northern Taiwan from Q1 2020 to Q2 2021 |
title_sort | influence of covid-19 pandemic on pm(2.5) air quality in northern taiwan from q1 2020 to q2 2021 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10208270/ https://www.ncbi.nlm.nih.gov/pubmed/37247544 http://dx.doi.org/10.1016/j.jenvman.2023.118252 |
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