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Significant variation in air quality in South Indian cities during COVID-19 lockdown and unlock phases

With the spread of COVID-19 pandemic worldwide, the Government of India had imposed lockdown in the month of March 2020 to curb the spread of the virus furthermore. This shutdown led to closure of various institutions, organizations, and industries, and restriction on public movement was also inflic...

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Autores principales: Navasakthi, Shibani, Pandey, Anuvesh, Bhari, Jashanpreet Singh, Sharma, Ashita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10229396/
https://www.ncbi.nlm.nih.gov/pubmed/37253943
http://dx.doi.org/10.1007/s10661-023-11375-7
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author Navasakthi, Shibani
Pandey, Anuvesh
Bhari, Jashanpreet Singh
Sharma, Ashita
author_facet Navasakthi, Shibani
Pandey, Anuvesh
Bhari, Jashanpreet Singh
Sharma, Ashita
author_sort Navasakthi, Shibani
collection PubMed
description With the spread of COVID-19 pandemic worldwide, the Government of India had imposed lockdown in the month of March 2020 to curb the spread of the virus furthermore. This shutdown led to closure of various institutions, organizations, and industries, and restriction on public movement was also inflicted which paved way to better air quality due to reduction in various industrial and vehicular emissions. To brace this, the present study was carried out to statistically analyze the changes in air quality from pre-lockdown period to unlock 6.0 in South Indian cities, namely, Bangalore, Chennai, Coimbatore, and Hyderabad, by assessing the variation in concentration of PM(2.5), PM(10), NO(2), and SO(2) during pre-lockdown, lockdown, and unlock phases. Pollutant concentration data was obtained for the selected timeframe (01 March 2020–30 November 2020) from CPCB, and line graph was plotted which had shown visible variation in the concentration of pollutants in cities taken into consideration. Analysis of variance (ANOVA) was applied to determine the mean differences in the concentration of pollutants during eleven timeframes, and the results indicated a significant difference (F (10,264) = 3.389, p < 0.001). A significant decrease in the levels of PM(2.5), PM(10), NO(2), and SO(2) during the lockdown phases was asserted by Tukey HSD results in Bangalore, Coimbatore, and Hyderabad stations, whereas PM(10) and NO(2) significantly increased during lockdown period in Chennai station. In order to understand the cause of variation in the concentration of pollutants and to find the association of pollutants with meteorological parameters, the Pearson correlation coefficient was used to study the relationship between PM(2.5), PM(10), NO(2), and SO(2) concentrations, temperature, rainfall, and wind speed for a span of 15 months, i.e., from January 2020 to March 2021. At a significant level of 99.9%, 99%, and 95%, a significant correlation among the pollutants, rainfall had a major impact on the pollutant concentration in Bangalore, Coimbatore, Hyderabad, and Chennai followed by wind speed and temperature. No significant influence of temperature on the concentration of pollutants was observed in Bangalore station.
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spelling pubmed-102293962023-06-01 Significant variation in air quality in South Indian cities during COVID-19 lockdown and unlock phases Navasakthi, Shibani Pandey, Anuvesh Bhari, Jashanpreet Singh Sharma, Ashita Environ Monit Assess Research With the spread of COVID-19 pandemic worldwide, the Government of India had imposed lockdown in the month of March 2020 to curb the spread of the virus furthermore. This shutdown led to closure of various institutions, organizations, and industries, and restriction on public movement was also inflicted which paved way to better air quality due to reduction in various industrial and vehicular emissions. To brace this, the present study was carried out to statistically analyze the changes in air quality from pre-lockdown period to unlock 6.0 in South Indian cities, namely, Bangalore, Chennai, Coimbatore, and Hyderabad, by assessing the variation in concentration of PM(2.5), PM(10), NO(2), and SO(2) during pre-lockdown, lockdown, and unlock phases. Pollutant concentration data was obtained for the selected timeframe (01 March 2020–30 November 2020) from CPCB, and line graph was plotted which had shown visible variation in the concentration of pollutants in cities taken into consideration. Analysis of variance (ANOVA) was applied to determine the mean differences in the concentration of pollutants during eleven timeframes, and the results indicated a significant difference (F (10,264) = 3.389, p < 0.001). A significant decrease in the levels of PM(2.5), PM(10), NO(2), and SO(2) during the lockdown phases was asserted by Tukey HSD results in Bangalore, Coimbatore, and Hyderabad stations, whereas PM(10) and NO(2) significantly increased during lockdown period in Chennai station. In order to understand the cause of variation in the concentration of pollutants and to find the association of pollutants with meteorological parameters, the Pearson correlation coefficient was used to study the relationship between PM(2.5), PM(10), NO(2), and SO(2) concentrations, temperature, rainfall, and wind speed for a span of 15 months, i.e., from January 2020 to March 2021. At a significant level of 99.9%, 99%, and 95%, a significant correlation among the pollutants, rainfall had a major impact on the pollutant concentration in Bangalore, Coimbatore, Hyderabad, and Chennai followed by wind speed and temperature. No significant influence of temperature on the concentration of pollutants was observed in Bangalore station. Springer International Publishing 2023-05-31 2023 /pmc/articles/PMC10229396/ /pubmed/37253943 http://dx.doi.org/10.1007/s10661-023-11375-7 Text en © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. 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 Research
Navasakthi, Shibani
Pandey, Anuvesh
Bhari, Jashanpreet Singh
Sharma, Ashita
Significant variation in air quality in South Indian cities during COVID-19 lockdown and unlock phases
title Significant variation in air quality in South Indian cities during COVID-19 lockdown and unlock phases
title_full Significant variation in air quality in South Indian cities during COVID-19 lockdown and unlock phases
title_fullStr Significant variation in air quality in South Indian cities during COVID-19 lockdown and unlock phases
title_full_unstemmed Significant variation in air quality in South Indian cities during COVID-19 lockdown and unlock phases
title_short Significant variation in air quality in South Indian cities during COVID-19 lockdown and unlock phases
title_sort significant variation in air quality in south indian cities during covid-19 lockdown and unlock phases
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10229396/
https://www.ncbi.nlm.nih.gov/pubmed/37253943
http://dx.doi.org/10.1007/s10661-023-11375-7
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