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Air quality assessment among populous sites of major metropolitan cities in India during COVID-19 pandemic confinement

The present study aims to determine the impact of COVID-19 pandemic confinement on air quality among populous sites of four major metropolitan cities in India (Delhi, Mumbai, Kolkata, and Chennai) from January 1, 2020 to May 31, 2020 by analyzing particulate matter (PM2.5 and PM10), nitrogen dioxide...

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Autores principales: Pant, Gaurav, Alka, Garlapati, Deviram, Gaur, Ashish, Hossain, Kaizar, Singh, Shoor Vir, Gupta, Ashish Kumar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7547912/
https://www.ncbi.nlm.nih.gov/pubmed/33040289
http://dx.doi.org/10.1007/s11356-020-11061-y
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author Pant, Gaurav
Alka
Garlapati, Deviram
Gaur, Ashish
Hossain, Kaizar
Singh, Shoor Vir
Gupta, Ashish Kumar
author_facet Pant, Gaurav
Alka
Garlapati, Deviram
Gaur, Ashish
Hossain, Kaizar
Singh, Shoor Vir
Gupta, Ashish Kumar
author_sort Pant, Gaurav
collection PubMed
description The present study aims to determine the impact of COVID-19 pandemic confinement on air quality among populous sites of four major metropolitan cities in India (Delhi, Mumbai, Kolkata, and Chennai) from January 1, 2020 to May 31, 2020 by analyzing particulate matter (PM2.5 and PM10), nitrogen dioxide (NO(2)), ammonia (NH(3)), sulfur dioxide (SO(2)), carbon monoxide (CO), and ozone levels. The most prominent pollutant concerning air quality index (AQI) was determined by Pearson’s correlation analysis and unpaired Welch’s two-sample t test was carried out to measure the statistically significant reduction in average AQI for all the four sites. AQI significantly plummeted by 44%, 59%, 59%, and 6% in ITO-Delhi, Worli-Mumbai, Jadavpur-Kolkata, and Manali Village-Chennai respectively. The findings conclude a significant improvement in air quality with respect to reduction of 49–73%, 17–63%, 30–74%, and 15–58% in the mean concentration of PM2.5, PM10, NH(3), and SO(2) respectively during the confinement for the studied locations. The p values for all of the four studied locations were found significantly less than the 5% level of significance for Welch’s t test analysis. In addition, reduced AQI values were highly correlated with prominent pollutants (PM2.5 and PM10) during Pearson’s correlation analysis. These positive results due to pandemic imprisonment might aid to alter the current policies and strategies of pollution control for a safe and sustainable environment. [Figure: see text]
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spelling pubmed-75479122020-10-14 Air quality assessment among populous sites of major metropolitan cities in India during COVID-19 pandemic confinement Pant, Gaurav Alka Garlapati, Deviram Gaur, Ashish Hossain, Kaizar Singh, Shoor Vir Gupta, Ashish Kumar Environ Sci Pollut Res Int Short Research and Discussion Article The present study aims to determine the impact of COVID-19 pandemic confinement on air quality among populous sites of four major metropolitan cities in India (Delhi, Mumbai, Kolkata, and Chennai) from January 1, 2020 to May 31, 2020 by analyzing particulate matter (PM2.5 and PM10), nitrogen dioxide (NO(2)), ammonia (NH(3)), sulfur dioxide (SO(2)), carbon monoxide (CO), and ozone levels. The most prominent pollutant concerning air quality index (AQI) was determined by Pearson’s correlation analysis and unpaired Welch’s two-sample t test was carried out to measure the statistically significant reduction in average AQI for all the four sites. AQI significantly plummeted by 44%, 59%, 59%, and 6% in ITO-Delhi, Worli-Mumbai, Jadavpur-Kolkata, and Manali Village-Chennai respectively. The findings conclude a significant improvement in air quality with respect to reduction of 49–73%, 17–63%, 30–74%, and 15–58% in the mean concentration of PM2.5, PM10, NH(3), and SO(2) respectively during the confinement for the studied locations. The p values for all of the four studied locations were found significantly less than the 5% level of significance for Welch’s t test analysis. In addition, reduced AQI values were highly correlated with prominent pollutants (PM2.5 and PM10) during Pearson’s correlation analysis. These positive results due to pandemic imprisonment might aid to alter the current policies and strategies of pollution control for a safe and sustainable environment. [Figure: see text] Springer Berlin Heidelberg 2020-10-11 2020 /pmc/articles/PMC7547912/ /pubmed/33040289 http://dx.doi.org/10.1007/s11356-020-11061-y Text en © Springer-Verlag GmbH Germany, part of Springer Nature 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Short Research and Discussion Article
Pant, Gaurav
Alka
Garlapati, Deviram
Gaur, Ashish
Hossain, Kaizar
Singh, Shoor Vir
Gupta, Ashish Kumar
Air quality assessment among populous sites of major metropolitan cities in India during COVID-19 pandemic confinement
title Air quality assessment among populous sites of major metropolitan cities in India during COVID-19 pandemic confinement
title_full Air quality assessment among populous sites of major metropolitan cities in India during COVID-19 pandemic confinement
title_fullStr Air quality assessment among populous sites of major metropolitan cities in India during COVID-19 pandemic confinement
title_full_unstemmed Air quality assessment among populous sites of major metropolitan cities in India during COVID-19 pandemic confinement
title_short Air quality assessment among populous sites of major metropolitan cities in India during COVID-19 pandemic confinement
title_sort air quality assessment among populous sites of major metropolitan cities in india during covid-19 pandemic confinement
topic Short Research and Discussion Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7547912/
https://www.ncbi.nlm.nih.gov/pubmed/33040289
http://dx.doi.org/10.1007/s11356-020-11061-y
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