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Impact of the COVID-19 lockdown on roadside traffic-related air pollution in Shanghai, China

The outbreak of COVID-19 has significantly inhibited global economic growth and impacted the environment. Some evidence suggests that lockdown strategies have significantly reduced traffic-related air pollution (TRAP) in regions across the world. However, the impact of COVID-19 on TRAP on roadside i...

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Autores principales: Wu, Cui-lin, Wang, Hong-wei, Cai, Wan-jin, He, Hong-di, Ni, An-ning, Peng, Zhong-ren
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7891056/
https://www.ncbi.nlm.nih.gov/pubmed/33633432
http://dx.doi.org/10.1016/j.buildenv.2021.107718
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author Wu, Cui-lin
Wang, Hong-wei
Cai, Wan-jin
He, Hong-di
Ni, An-ning
Peng, Zhong-ren
author_facet Wu, Cui-lin
Wang, Hong-wei
Cai, Wan-jin
He, Hong-di
Ni, An-ning
Peng, Zhong-ren
author_sort Wu, Cui-lin
collection PubMed
description The outbreak of COVID-19 has significantly inhibited global economic growth and impacted the environment. Some evidence suggests that lockdown strategies have significantly reduced traffic-related air pollution (TRAP) in regions across the world. However, the impact of COVID-19 on TRAP on roadside is still not clearly understood. In this study, we assessed the influence of the COVID-19 lockdown on the levels of traffic-related air pollutants in Shanghai. The pollution data from two types of monitoring stations—roadside stations and non-roadside stations were compared and evaluated. The results show that NO(2), PM(2.5), PM(10), and SO(2) had reduced by ~30–40% at each station during the COVID-19 pandemic in contrast to 2018–2019. CO showed a moderate decline of 28.8% at roadside stations and 16.4% at non-roadside stations. In contrast, O(3) concentrations increased by 30.2% at roadside stations and 5.7% at non-roadside stations. This result could be resulted from the declined NOx emissions from vehicles, which lowered O(3) titration. Full lockdown measures resulted in the highest reduction of primary pollutants by 34–48% in roadside stations and 18–50% in non-roadside stations. The increase in O(3) levels was also the most significant during full lockdown by 64% in roadside stations and 33% in non-roadside stations due to the largest decrease in NO(2) precursors, which promote O(3) formation. Additionally, Spearman's rank correlation coefficients between NO(2) and other pollutants significantly decreased, while the values between NO(2) and O(3) increased at roadside stations.
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spelling pubmed-78910562021-02-19 Impact of the COVID-19 lockdown on roadside traffic-related air pollution in Shanghai, China Wu, Cui-lin Wang, Hong-wei Cai, Wan-jin He, Hong-di Ni, An-ning Peng, Zhong-ren Build Environ Article The outbreak of COVID-19 has significantly inhibited global economic growth and impacted the environment. Some evidence suggests that lockdown strategies have significantly reduced traffic-related air pollution (TRAP) in regions across the world. However, the impact of COVID-19 on TRAP on roadside is still not clearly understood. In this study, we assessed the influence of the COVID-19 lockdown on the levels of traffic-related air pollutants in Shanghai. The pollution data from two types of monitoring stations—roadside stations and non-roadside stations were compared and evaluated. The results show that NO(2), PM(2.5), PM(10), and SO(2) had reduced by ~30–40% at each station during the COVID-19 pandemic in contrast to 2018–2019. CO showed a moderate decline of 28.8% at roadside stations and 16.4% at non-roadside stations. In contrast, O(3) concentrations increased by 30.2% at roadside stations and 5.7% at non-roadside stations. This result could be resulted from the declined NOx emissions from vehicles, which lowered O(3) titration. Full lockdown measures resulted in the highest reduction of primary pollutants by 34–48% in roadside stations and 18–50% in non-roadside stations. The increase in O(3) levels was also the most significant during full lockdown by 64% in roadside stations and 33% in non-roadside stations due to the largest decrease in NO(2) precursors, which promote O(3) formation. Additionally, Spearman's rank correlation coefficients between NO(2) and other pollutants significantly decreased, while the values between NO(2) and O(3) increased at roadside stations. Elsevier Ltd. 2021-05 2021-02-18 /pmc/articles/PMC7891056/ /pubmed/33633432 http://dx.doi.org/10.1016/j.buildenv.2021.107718 Text en © 2021 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 Article
Wu, Cui-lin
Wang, Hong-wei
Cai, Wan-jin
He, Hong-di
Ni, An-ning
Peng, Zhong-ren
Impact of the COVID-19 lockdown on roadside traffic-related air pollution in Shanghai, China
title Impact of the COVID-19 lockdown on roadside traffic-related air pollution in Shanghai, China
title_full Impact of the COVID-19 lockdown on roadside traffic-related air pollution in Shanghai, China
title_fullStr Impact of the COVID-19 lockdown on roadside traffic-related air pollution in Shanghai, China
title_full_unstemmed Impact of the COVID-19 lockdown on roadside traffic-related air pollution in Shanghai, China
title_short Impact of the COVID-19 lockdown on roadside traffic-related air pollution in Shanghai, China
title_sort impact of the covid-19 lockdown on roadside traffic-related air pollution in shanghai, china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7891056/
https://www.ncbi.nlm.nih.gov/pubmed/33633432
http://dx.doi.org/10.1016/j.buildenv.2021.107718
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