Cargando…
Air quality characteristics in Wuhan (China) during the 2020 COVID-19 pandemic
Understanding the relationship between air quality, pollution emission control measures, and meteorological conditions is important for developing effective air quality improvement policies. In this study, we used pollution monitoring and meteorological data from January to May 2020 to analyze the a...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8479542/ https://www.ncbi.nlm.nih.gov/pubmed/33607094 http://dx.doi.org/10.1016/j.envres.2021.110879 |
_version_ | 1784576281714622464 |
---|---|
author | Jiaxin, Chen Hui, Hu Feifei, Wang Mi, Zhang Ting, Zhou Shicheng, Yuan Ruoqiao, Bai Nan, Chen Ke, Xu Hao, Huang |
author_facet | Jiaxin, Chen Hui, Hu Feifei, Wang Mi, Zhang Ting, Zhou Shicheng, Yuan Ruoqiao, Bai Nan, Chen Ke, Xu Hao, Huang |
author_sort | Jiaxin, Chen |
collection | PubMed |
description | Understanding the relationship between air quality, pollution emission control measures, and meteorological conditions is important for developing effective air quality improvement policies. In this study, we used pollution monitoring and meteorological data from January to May 2020 to analyze the air quality characteristics during the COVID-19 lockdown in Wuhan, which lasted from January 23 to April 8, 2020. Compared with the same period in 2019, the air quality in 2020 was significantly better. The total excellent and good air quality rates increased by 17.58%–90.08% in 2020; concentrations of NO(2), particulate matter with a diameter <10 μm (PM(10)) and <2.5 μm (PM(2.5)), and total volatile organic compounds (TVOCs) also decreased by 38.23%, 30.25%, 32.92%, and 39.80%, respectively. Moreover, the number of days with NO(2), PM(10), and PM(2.5) as the primary pollutants decreased by approximately 10%, 9%, and 15%, respectively. We compared the wind direction, wind speed, temperature, and relative humidity in January–April 2020, 2019, 2018, and 2017 and found no obvious correlation between meteorological factors and improved air quality during the 2020 lockdown. The implementation of strict lockdown measures, such as home quarantining, traffic restrictions, and non-essential enterprise shutdowns, was the dominant cause for the substantial air quality improvement during the 2020 COVID-19 lockdown in Wuhan. |
format | Online Article Text |
id | pubmed-8479542 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-84795422021-09-29 Air quality characteristics in Wuhan (China) during the 2020 COVID-19 pandemic Jiaxin, Chen Hui, Hu Feifei, Wang Mi, Zhang Ting, Zhou Shicheng, Yuan Ruoqiao, Bai Nan, Chen Ke, Xu Hao, Huang Environ Res Article Understanding the relationship between air quality, pollution emission control measures, and meteorological conditions is important for developing effective air quality improvement policies. In this study, we used pollution monitoring and meteorological data from January to May 2020 to analyze the air quality characteristics during the COVID-19 lockdown in Wuhan, which lasted from January 23 to April 8, 2020. Compared with the same period in 2019, the air quality in 2020 was significantly better. The total excellent and good air quality rates increased by 17.58%–90.08% in 2020; concentrations of NO(2), particulate matter with a diameter <10 μm (PM(10)) and <2.5 μm (PM(2.5)), and total volatile organic compounds (TVOCs) also decreased by 38.23%, 30.25%, 32.92%, and 39.80%, respectively. Moreover, the number of days with NO(2), PM(10), and PM(2.5) as the primary pollutants decreased by approximately 10%, 9%, and 15%, respectively. We compared the wind direction, wind speed, temperature, and relative humidity in January–April 2020, 2019, 2018, and 2017 and found no obvious correlation between meteorological factors and improved air quality during the 2020 lockdown. The implementation of strict lockdown measures, such as home quarantining, traffic restrictions, and non-essential enterprise shutdowns, was the dominant cause for the substantial air quality improvement during the 2020 COVID-19 lockdown in Wuhan. Elsevier Inc. 2021-04 2021-02-17 /pmc/articles/PMC8479542/ /pubmed/33607094 http://dx.doi.org/10.1016/j.envres.2021.110879 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 Jiaxin, Chen Hui, Hu Feifei, Wang Mi, Zhang Ting, Zhou Shicheng, Yuan Ruoqiao, Bai Nan, Chen Ke, Xu Hao, Huang Air quality characteristics in Wuhan (China) during the 2020 COVID-19 pandemic |
title | Air quality characteristics in Wuhan (China) during the 2020 COVID-19 pandemic |
title_full | Air quality characteristics in Wuhan (China) during the 2020 COVID-19 pandemic |
title_fullStr | Air quality characteristics in Wuhan (China) during the 2020 COVID-19 pandemic |
title_full_unstemmed | Air quality characteristics in Wuhan (China) during the 2020 COVID-19 pandemic |
title_short | Air quality characteristics in Wuhan (China) during the 2020 COVID-19 pandemic |
title_sort | air quality characteristics in wuhan (china) during the 2020 covid-19 pandemic |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8479542/ https://www.ncbi.nlm.nih.gov/pubmed/33607094 http://dx.doi.org/10.1016/j.envres.2021.110879 |
work_keys_str_mv | AT jiaxinchen airqualitycharacteristicsinwuhanchinaduringthe2020covid19pandemic AT huihu airqualitycharacteristicsinwuhanchinaduringthe2020covid19pandemic AT feifeiwang airqualitycharacteristicsinwuhanchinaduringthe2020covid19pandemic AT mizhang airqualitycharacteristicsinwuhanchinaduringthe2020covid19pandemic AT tingzhou airqualitycharacteristicsinwuhanchinaduringthe2020covid19pandemic AT shichengyuan airqualitycharacteristicsinwuhanchinaduringthe2020covid19pandemic AT ruoqiaobai airqualitycharacteristicsinwuhanchinaduringthe2020covid19pandemic AT nanchen airqualitycharacteristicsinwuhanchinaduringthe2020covid19pandemic AT kexu airqualitycharacteristicsinwuhanchinaduringthe2020covid19pandemic AT haohuang airqualitycharacteristicsinwuhanchinaduringthe2020covid19pandemic |