Cargando…

Impacts of COVID-19 on air quality in mid-eastern China: An insight into meteorology and emissions

The coronavirus disease (COVID-19) spread rapidly worldwide in the first half of 2020. Stringent national lockdown policies imposed by China to prevent the spread of the virus reduced anthropogenic emissions and improved air quality. A weather research and forecasting model coupled with chemistry wa...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhao, Xiuyong, Wang, Gang, Wang, Sheng, Zhao, Na, Zhang, Ming, Yue, Wenqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8461319/
https://www.ncbi.nlm.nih.gov/pubmed/34584487
http://dx.doi.org/10.1016/j.atmosenv.2021.118750
_version_ 1784571952625614848
author Zhao, Xiuyong
Wang, Gang
Wang, Sheng
Zhao, Na
Zhang, Ming
Yue, Wenqi
author_facet Zhao, Xiuyong
Wang, Gang
Wang, Sheng
Zhao, Na
Zhang, Ming
Yue, Wenqi
author_sort Zhao, Xiuyong
collection PubMed
description The coronavirus disease (COVID-19) spread rapidly worldwide in the first half of 2020. Stringent national lockdown policies imposed by China to prevent the spread of the virus reduced anthropogenic emissions and improved air quality. A weather research and forecasting model coupled with chemistry was applied to evaluate the impact of meteorology and emissions on air quality during the COVID-19 outbreak (from January 23 to February 29, 2020) in mid-eastern China. The results show that air pollution episodes still occurred on polluted days and accounted for 31.6%–60.5% of the total number of outbreak days in mid-eastern China from January 23 to February 29, 2020. However, anthropogenic emissions decreased significantly, indicating that anthropogenic emission reduction cannot completely offset the impact of unfavorable meteorological conditions on air quality. Favorable meteorological conditions in 2019 improved the overall air quality for a COVID-19 outbreak in 2019 instead of 2020. PM(2.5) concentrations decreased by 4.2%–29.2% in Beijing, Tianjin, Shijiazhuang, and Taiyuan, and increased by 6.1%–11.5% in Jinan and Zhengzhou. PM(2.5) concentrations increased by 10.9%–20.5% without the COVID-19 outbreak of 2020 in mid-eastern China, and the frequency of polluted days increased by 5.3%–18.4%. Source apportionment of PM(2.5) during the COVID-19 outbreak showed that industry and residential emissions were the dominant PM(2.5) contributors (32.7%–49.6% and 26.0%–44.5%, respectively) followed by agriculture (18.7%–24.0%), transportation (7.7%–15.5%), and power (4.1%–5.9%). In Beijing, industrial and residential contributions to PM(2.5) concentrations were lower (32.7%) and higher (44.5%), respectively, than in other cities (38.7%–49.6% for industry and 26.0%–36.2% for residential). Therefore, enhancing regional cooperation and implementing a united air pollution control are effective emission mitigation measures for future air quality improvement, especially the development of new technologies for industrial and cooking fumes.
format Online
Article
Text
id pubmed-8461319
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Elsevier Ltd.
record_format MEDLINE/PubMed
spelling pubmed-84613192021-09-24 Impacts of COVID-19 on air quality in mid-eastern China: An insight into meteorology and emissions Zhao, Xiuyong Wang, Gang Wang, Sheng Zhao, Na Zhang, Ming Yue, Wenqi Atmos Environ (1994) Article The coronavirus disease (COVID-19) spread rapidly worldwide in the first half of 2020. Stringent national lockdown policies imposed by China to prevent the spread of the virus reduced anthropogenic emissions and improved air quality. A weather research and forecasting model coupled with chemistry was applied to evaluate the impact of meteorology and emissions on air quality during the COVID-19 outbreak (from January 23 to February 29, 2020) in mid-eastern China. The results show that air pollution episodes still occurred on polluted days and accounted for 31.6%–60.5% of the total number of outbreak days in mid-eastern China from January 23 to February 29, 2020. However, anthropogenic emissions decreased significantly, indicating that anthropogenic emission reduction cannot completely offset the impact of unfavorable meteorological conditions on air quality. Favorable meteorological conditions in 2019 improved the overall air quality for a COVID-19 outbreak in 2019 instead of 2020. PM(2.5) concentrations decreased by 4.2%–29.2% in Beijing, Tianjin, Shijiazhuang, and Taiyuan, and increased by 6.1%–11.5% in Jinan and Zhengzhou. PM(2.5) concentrations increased by 10.9%–20.5% without the COVID-19 outbreak of 2020 in mid-eastern China, and the frequency of polluted days increased by 5.3%–18.4%. Source apportionment of PM(2.5) during the COVID-19 outbreak showed that industry and residential emissions were the dominant PM(2.5) contributors (32.7%–49.6% and 26.0%–44.5%, respectively) followed by agriculture (18.7%–24.0%), transportation (7.7%–15.5%), and power (4.1%–5.9%). In Beijing, industrial and residential contributions to PM(2.5) concentrations were lower (32.7%) and higher (44.5%), respectively, than in other cities (38.7%–49.6% for industry and 26.0%–36.2% for residential). Therefore, enhancing regional cooperation and implementing a united air pollution control are effective emission mitigation measures for future air quality improvement, especially the development of new technologies for industrial and cooking fumes. Elsevier Ltd. 2021-12-01 2021-09-24 /pmc/articles/PMC8461319/ /pubmed/34584487 http://dx.doi.org/10.1016/j.atmosenv.2021.118750 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
Zhao, Xiuyong
Wang, Gang
Wang, Sheng
Zhao, Na
Zhang, Ming
Yue, Wenqi
Impacts of COVID-19 on air quality in mid-eastern China: An insight into meteorology and emissions
title Impacts of COVID-19 on air quality in mid-eastern China: An insight into meteorology and emissions
title_full Impacts of COVID-19 on air quality in mid-eastern China: An insight into meteorology and emissions
title_fullStr Impacts of COVID-19 on air quality in mid-eastern China: An insight into meteorology and emissions
title_full_unstemmed Impacts of COVID-19 on air quality in mid-eastern China: An insight into meteorology and emissions
title_short Impacts of COVID-19 on air quality in mid-eastern China: An insight into meteorology and emissions
title_sort impacts of covid-19 on air quality in mid-eastern china: an insight into meteorology and emissions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8461319/
https://www.ncbi.nlm.nih.gov/pubmed/34584487
http://dx.doi.org/10.1016/j.atmosenv.2021.118750
work_keys_str_mv AT zhaoxiuyong impactsofcovid19onairqualityinmideasternchinaaninsightintometeorologyandemissions
AT wanggang impactsofcovid19onairqualityinmideasternchinaaninsightintometeorologyandemissions
AT wangsheng impactsofcovid19onairqualityinmideasternchinaaninsightintometeorologyandemissions
AT zhaona impactsofcovid19onairqualityinmideasternchinaaninsightintometeorologyandemissions
AT zhangming impactsofcovid19onairqualityinmideasternchinaaninsightintometeorologyandemissions
AT yuewenqi impactsofcovid19onairqualityinmideasternchinaaninsightintometeorologyandemissions