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Air quality index variation before and after the onset of COVID-19 pandemic: a comprehensive study on 87 capital, industrial and polluted cities of the world

BACKGROUND: Coronavirus disease 2019 (COVID-19) pandemic provided an opportunity for the environment to reduce ambient pollution despite the economic, social and health disruption to the world. The purpose of this study was to investigate the changes in the air quality indexes (AQI) in industrial, d...

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Autores principales: Sarmadi, Mohammad, Rahimi, Sajjad, Rezaei, Mina, Sanaei, Daryoush, Dianatinasab, Mostafa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8645297/
https://www.ncbi.nlm.nih.gov/pubmed/34900511
http://dx.doi.org/10.1186/s12302-021-00575-y
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author Sarmadi, Mohammad
Rahimi, Sajjad
Rezaei, Mina
Sanaei, Daryoush
Dianatinasab, Mostafa
author_facet Sarmadi, Mohammad
Rahimi, Sajjad
Rezaei, Mina
Sanaei, Daryoush
Dianatinasab, Mostafa
author_sort Sarmadi, Mohammad
collection PubMed
description BACKGROUND: Coronavirus disease 2019 (COVID-19) pandemic provided an opportunity for the environment to reduce ambient pollution despite the economic, social and health disruption to the world. The purpose of this study was to investigate the changes in the air quality indexes (AQI) in industrial, densely populated and capital cities in different countries of the world before and after 2020. In this ecological study, we used AQI obtained from the free available databases such as the World Air Quality Index (WAQI). Bivariate correlation analysis was used to explore the correlations between meteorological and AQI variables. Mean differences (standard deviation: SD) of AQI parameters of different years were tested using paired-sample t-test or Wilcoxon signed-rank test as appropriate. Multivariable linear regression analysis was conducted to recognize meteorological variables affecting the AQI parameters. RESULTS: AQI-PM(2.5), AQI-PM(10) and AQI-NO(2) changes were significantly higher before and after 2020, simultaneously with COVID-19 restrictions in different cities of the world. The overall changes of AQI-PM(2.5), AQI-PM(10) and AQI-NO(2) in 2020 were – 7.36%, – 17.52% and – 20.54% compared to 2019. On the other hand, these results became reversed in 2021 (+ 4.25%, + 9.08% and + 7.48%). In general, the temperature and relative humidity were inversely correlated with AQI-PM(2.5), AQI-PM(10) and AQI-NO(2). Also, after adjusting for other meteorological factors, the relative humidity was inversely associated with AQI-PM(2.5), AQI-PM(10) and AQI-NO(2) (β = − 1.55, β = − 0.88 and β = − 0.10, P < 0.01, respectively). CONCLUSIONS: The results indicated that air quality generally improved for all pollutants except carbon monoxide and ozone in 2020; however, changes in 2021 have been reversed, which may be due to the reduction of some countries’ restrictions. Although this quality improvement was temporary, it is an important result for planning to control environmental pollutants.
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spelling pubmed-86452972021-12-06 Air quality index variation before and after the onset of COVID-19 pandemic: a comprehensive study on 87 capital, industrial and polluted cities of the world Sarmadi, Mohammad Rahimi, Sajjad Rezaei, Mina Sanaei, Daryoush Dianatinasab, Mostafa Environ Sci Eur Research BACKGROUND: Coronavirus disease 2019 (COVID-19) pandemic provided an opportunity for the environment to reduce ambient pollution despite the economic, social and health disruption to the world. The purpose of this study was to investigate the changes in the air quality indexes (AQI) in industrial, densely populated and capital cities in different countries of the world before and after 2020. In this ecological study, we used AQI obtained from the free available databases such as the World Air Quality Index (WAQI). Bivariate correlation analysis was used to explore the correlations between meteorological and AQI variables. Mean differences (standard deviation: SD) of AQI parameters of different years were tested using paired-sample t-test or Wilcoxon signed-rank test as appropriate. Multivariable linear regression analysis was conducted to recognize meteorological variables affecting the AQI parameters. RESULTS: AQI-PM(2.5), AQI-PM(10) and AQI-NO(2) changes were significantly higher before and after 2020, simultaneously with COVID-19 restrictions in different cities of the world. The overall changes of AQI-PM(2.5), AQI-PM(10) and AQI-NO(2) in 2020 were – 7.36%, – 17.52% and – 20.54% compared to 2019. On the other hand, these results became reversed in 2021 (+ 4.25%, + 9.08% and + 7.48%). In general, the temperature and relative humidity were inversely correlated with AQI-PM(2.5), AQI-PM(10) and AQI-NO(2). Also, after adjusting for other meteorological factors, the relative humidity was inversely associated with AQI-PM(2.5), AQI-PM(10) and AQI-NO(2) (β = − 1.55, β = − 0.88 and β = − 0.10, P < 0.01, respectively). CONCLUSIONS: The results indicated that air quality generally improved for all pollutants except carbon monoxide and ozone in 2020; however, changes in 2021 have been reversed, which may be due to the reduction of some countries’ restrictions. Although this quality improvement was temporary, it is an important result for planning to control environmental pollutants. Springer Berlin Heidelberg 2021-12-05 2021 /pmc/articles/PMC8645297/ /pubmed/34900511 http://dx.doi.org/10.1186/s12302-021-00575-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research
Sarmadi, Mohammad
Rahimi, Sajjad
Rezaei, Mina
Sanaei, Daryoush
Dianatinasab, Mostafa
Air quality index variation before and after the onset of COVID-19 pandemic: a comprehensive study on 87 capital, industrial and polluted cities of the world
title Air quality index variation before and after the onset of COVID-19 pandemic: a comprehensive study on 87 capital, industrial and polluted cities of the world
title_full Air quality index variation before and after the onset of COVID-19 pandemic: a comprehensive study on 87 capital, industrial and polluted cities of the world
title_fullStr Air quality index variation before and after the onset of COVID-19 pandemic: a comprehensive study on 87 capital, industrial and polluted cities of the world
title_full_unstemmed Air quality index variation before and after the onset of COVID-19 pandemic: a comprehensive study on 87 capital, industrial and polluted cities of the world
title_short Air quality index variation before and after the onset of COVID-19 pandemic: a comprehensive study on 87 capital, industrial and polluted cities of the world
title_sort air quality index variation before and after the onset of covid-19 pandemic: a comprehensive study on 87 capital, industrial and polluted cities of the world
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8645297/
https://www.ncbi.nlm.nih.gov/pubmed/34900511
http://dx.doi.org/10.1186/s12302-021-00575-y
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