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Persistent high PM(2.5) pollution driven by unfavorable meteorological conditions during the COVID-19 lockdown period in the Beijing-Tianjin-Hebei region, China

Lockdown measures to curtail the COVID-19 pandemic in China halted most non-essential activities on January 23, 2020. Despite significant reductions in anthropogenic emissions, the Beijing-Tianjin-Hebei (BTH) region still experienced high air pollution concentrations. Employing two emissions reducti...

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Autores principales: Sulaymon, Ishaq Dimeji, Zhang, Yuanxun, Hopke, Philip K., Hu, Jianlin, Zhang, Yang, Li, Lin, Mei, Xiaodong, Gong, Kangjia, Shi, Zhihao, Zhao, Bin, Zhao, Fangxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9750169/
https://www.ncbi.nlm.nih.gov/pubmed/33930403
http://dx.doi.org/10.1016/j.envres.2021.111186
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author Sulaymon, Ishaq Dimeji
Zhang, Yuanxun
Hopke, Philip K.
Hu, Jianlin
Zhang, Yang
Li, Lin
Mei, Xiaodong
Gong, Kangjia
Shi, Zhihao
Zhao, Bin
Zhao, Fangxin
author_facet Sulaymon, Ishaq Dimeji
Zhang, Yuanxun
Hopke, Philip K.
Hu, Jianlin
Zhang, Yang
Li, Lin
Mei, Xiaodong
Gong, Kangjia
Shi, Zhihao
Zhao, Bin
Zhao, Fangxin
author_sort Sulaymon, Ishaq Dimeji
collection PubMed
description Lockdown measures to curtail the COVID-19 pandemic in China halted most non-essential activities on January 23, 2020. Despite significant reductions in anthropogenic emissions, the Beijing-Tianjin-Hebei (BTH) region still experienced high air pollution concentrations. Employing two emissions reduction scenarios, the Community Multiscale Air Quality (CMAQ) model was used to investigate the PM(2.5) concentrations change in this region. The model using the scenario (C3) with greater traffic reductions performed better compared to the observed PM(2.5). Compared with the no reductions base-case (scenario C1), PM(2.5) reductions with scenario C3 were 2.70, 2.53, 2.90, 2.98, 3.30, 2.81, 2.82, 2.98, 2.68, and 2.83 μg/m(3) in Beijing, Tianjin, Shijiazhuang, Baoding, Cangzhou, Chengde, Handan, Hengshui, Tangshan, and Xingtai, respectively. During high-pollution days in scenario C3, the percentage reductions in PM(2.5) concentrations in Beijing, Tianjin, Shijiazhuang, Baoding, Cangzhou, Chengde, Handan, Hengshui, Tangshan, and Xingtai were 3.76, 3.54, 3.28, 3.22, 3.57, 3.56, 3.47, 6.10, 3.61, and 3.67%, respectively. However, significant increases caused by unfavorable meteorological conditions counteracted the emissions reduction effects resulting in high air pollution in BTH region during the lockdown period. This study shows that effective air pollution control strategies incorporating these results are urgently required in BTH to avoid severe pollution.
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spelling pubmed-97501692022-12-15 Persistent high PM(2.5) pollution driven by unfavorable meteorological conditions during the COVID-19 lockdown period in the Beijing-Tianjin-Hebei region, China Sulaymon, Ishaq Dimeji Zhang, Yuanxun Hopke, Philip K. Hu, Jianlin Zhang, Yang Li, Lin Mei, Xiaodong Gong, Kangjia Shi, Zhihao Zhao, Bin Zhao, Fangxin Environ Res Article Lockdown measures to curtail the COVID-19 pandemic in China halted most non-essential activities on January 23, 2020. Despite significant reductions in anthropogenic emissions, the Beijing-Tianjin-Hebei (BTH) region still experienced high air pollution concentrations. Employing two emissions reduction scenarios, the Community Multiscale Air Quality (CMAQ) model was used to investigate the PM(2.5) concentrations change in this region. The model using the scenario (C3) with greater traffic reductions performed better compared to the observed PM(2.5). Compared with the no reductions base-case (scenario C1), PM(2.5) reductions with scenario C3 were 2.70, 2.53, 2.90, 2.98, 3.30, 2.81, 2.82, 2.98, 2.68, and 2.83 μg/m(3) in Beijing, Tianjin, Shijiazhuang, Baoding, Cangzhou, Chengde, Handan, Hengshui, Tangshan, and Xingtai, respectively. During high-pollution days in scenario C3, the percentage reductions in PM(2.5) concentrations in Beijing, Tianjin, Shijiazhuang, Baoding, Cangzhou, Chengde, Handan, Hengshui, Tangshan, and Xingtai were 3.76, 3.54, 3.28, 3.22, 3.57, 3.56, 3.47, 6.10, 3.61, and 3.67%, respectively. However, significant increases caused by unfavorable meteorological conditions counteracted the emissions reduction effects resulting in high air pollution in BTH region during the lockdown period. This study shows that effective air pollution control strategies incorporating these results are urgently required in BTH to avoid severe pollution. Elsevier Inc. 2021-07 2021-04-27 /pmc/articles/PMC9750169/ /pubmed/33930403 http://dx.doi.org/10.1016/j.envres.2021.111186 Text en © 2021 Elsevier Inc. 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
Sulaymon, Ishaq Dimeji
Zhang, Yuanxun
Hopke, Philip K.
Hu, Jianlin
Zhang, Yang
Li, Lin
Mei, Xiaodong
Gong, Kangjia
Shi, Zhihao
Zhao, Bin
Zhao, Fangxin
Persistent high PM(2.5) pollution driven by unfavorable meteorological conditions during the COVID-19 lockdown period in the Beijing-Tianjin-Hebei region, China
title Persistent high PM(2.5) pollution driven by unfavorable meteorological conditions during the COVID-19 lockdown period in the Beijing-Tianjin-Hebei region, China
title_full Persistent high PM(2.5) pollution driven by unfavorable meteorological conditions during the COVID-19 lockdown period in the Beijing-Tianjin-Hebei region, China
title_fullStr Persistent high PM(2.5) pollution driven by unfavorable meteorological conditions during the COVID-19 lockdown period in the Beijing-Tianjin-Hebei region, China
title_full_unstemmed Persistent high PM(2.5) pollution driven by unfavorable meteorological conditions during the COVID-19 lockdown period in the Beijing-Tianjin-Hebei region, China
title_short Persistent high PM(2.5) pollution driven by unfavorable meteorological conditions during the COVID-19 lockdown period in the Beijing-Tianjin-Hebei region, China
title_sort persistent high pm(2.5) pollution driven by unfavorable meteorological conditions during the covid-19 lockdown period in the beijing-tianjin-hebei region, china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9750169/
https://www.ncbi.nlm.nih.gov/pubmed/33930403
http://dx.doi.org/10.1016/j.envres.2021.111186
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