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Significant concurrent decrease in PM(2.5) and NO(2) concentrations in China during COVID-19 epidemic
The strict control measures and social lockdowns initiated to combat COVID-19 epidemic have had a notable impact on air pollutant concentrations. According to observation data obtained from the China National Environmental Monitoring Center, compared to levels in 2019, the average concentration of N...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences. Published by Elsevier B.V.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7328636/ https://www.ncbi.nlm.nih.gov/pubmed/33183713 http://dx.doi.org/10.1016/j.jes.2020.06.031 |
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author | Chu, Biwu Zhang, Shuping Liu, Jun Ma, Qingxin He, Hong |
author_facet | Chu, Biwu Zhang, Shuping Liu, Jun Ma, Qingxin He, Hong |
author_sort | Chu, Biwu |
collection | PubMed |
description | The strict control measures and social lockdowns initiated to combat COVID-19 epidemic have had a notable impact on air pollutant concentrations. According to observation data obtained from the China National Environmental Monitoring Center, compared to levels in 2019, the average concentration of NO(2) in early 2020 during COVID-19 epidemic has decreased by 53%, 50%, and 30% in Wuhan city, Hubei Province (Wuhan excluded), and China (Hubei excluded), respectively. Simultaneously, PM(2.5) concentration has decreased by 35%, 29%, and 19% in Wuhan, Hubei (Wuhan excluded), and China (Hubei excluded), respectively. Less significant declines have also been found for SO(2) and CO concentrations. We also analyzed the temporal variation and spatial distribution of air pollutant concentrations in China during COVID-19 epidemic. The decreases in PM(2.5) and NO(2) concentrations showed relatively consistent temporal variation and spatial distribution. These results support control of NO(x) to further reduce PM(2.5) pollution in China. The concurrent decrease in NO(x) and PM(2.5) concentrations resulted in an increase of O(3) concentrations across China during COVID-19 epidemic, indicating that coordinated control of other pollutants is needed. |
format | Online Article Text |
id | pubmed-7328636 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences. Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-73286362020-07-01 Significant concurrent decrease in PM(2.5) and NO(2) concentrations in China during COVID-19 epidemic Chu, Biwu Zhang, Shuping Liu, Jun Ma, Qingxin He, Hong J Environ Sci (China) Article The strict control measures and social lockdowns initiated to combat COVID-19 epidemic have had a notable impact on air pollutant concentrations. According to observation data obtained from the China National Environmental Monitoring Center, compared to levels in 2019, the average concentration of NO(2) in early 2020 during COVID-19 epidemic has decreased by 53%, 50%, and 30% in Wuhan city, Hubei Province (Wuhan excluded), and China (Hubei excluded), respectively. Simultaneously, PM(2.5) concentration has decreased by 35%, 29%, and 19% in Wuhan, Hubei (Wuhan excluded), and China (Hubei excluded), respectively. Less significant declines have also been found for SO(2) and CO concentrations. We also analyzed the temporal variation and spatial distribution of air pollutant concentrations in China during COVID-19 epidemic. The decreases in PM(2.5) and NO(2) concentrations showed relatively consistent temporal variation and spatial distribution. These results support control of NO(x) to further reduce PM(2.5) pollution in China. The concurrent decrease in NO(x) and PM(2.5) concentrations resulted in an increase of O(3) concentrations across China during COVID-19 epidemic, indicating that coordinated control of other pollutants is needed. The Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences. Published by Elsevier B.V. 2021-01 2020-07-01 /pmc/articles/PMC7328636/ /pubmed/33183713 http://dx.doi.org/10.1016/j.jes.2020.06.031 Text en © 2020 The Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences. Published by Elsevier B.V. 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 Chu, Biwu Zhang, Shuping Liu, Jun Ma, Qingxin He, Hong Significant concurrent decrease in PM(2.5) and NO(2) concentrations in China during COVID-19 epidemic |
title | Significant concurrent decrease in PM(2.5) and NO(2) concentrations in China during COVID-19 epidemic |
title_full | Significant concurrent decrease in PM(2.5) and NO(2) concentrations in China during COVID-19 epidemic |
title_fullStr | Significant concurrent decrease in PM(2.5) and NO(2) concentrations in China during COVID-19 epidemic |
title_full_unstemmed | Significant concurrent decrease in PM(2.5) and NO(2) concentrations in China during COVID-19 epidemic |
title_short | Significant concurrent decrease in PM(2.5) and NO(2) concentrations in China during COVID-19 epidemic |
title_sort | significant concurrent decrease in pm(2.5) and no(2) concentrations in china during covid-19 epidemic |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7328636/ https://www.ncbi.nlm.nih.gov/pubmed/33183713 http://dx.doi.org/10.1016/j.jes.2020.06.031 |
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