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COVID-19 lockdown and environmental pollution: an Indian multi-state investigation

Originating from China, COVID-19 became the first-ever coronavirus pandemic, wreaking havoc in 218 nations. The lack of a potential treatment exacerbated by the inability of the healthcare infrastructure to contain the viral trajectory led to a worldwide lockdown. The anthropogenic halt presented an...

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Autores principales: Marwah, Mansi, Agrawala, Paban K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8721483/
https://www.ncbi.nlm.nih.gov/pubmed/34978634
http://dx.doi.org/10.1007/s10661-021-09693-9
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author Marwah, Mansi
Agrawala, Paban K.
author_facet Marwah, Mansi
Agrawala, Paban K.
author_sort Marwah, Mansi
collection PubMed
description Originating from China, COVID-19 became the first-ever coronavirus pandemic, wreaking havoc in 218 nations. The lack of a potential treatment exacerbated by the inability of the healthcare infrastructure to contain the viral trajectory led to a worldwide lockdown. The anthropogenic halt presented an unprecedented background to quantify the effect of the anthroposphere on environmental pollution. Consequently, we analyzed the variations in the air (PM(10), PM(2.5), NO(2), SO(2)) and water pollutants (BOD, COD, DO, coliform) using real-time monitoring data in the majorly hit Indian metropolitan states during the lockdown in contrast to 2019 levels. The overall AQI (air quality index) de-escalated by −31.35%, −34.35%, −32.63%, −29.25% in Delhi, Tamil Nadu, West Bengal, and Karnataka, respectively, from the 2019 levels. The daily concentrations of NO(2), PM(2.5), and PM(10) plunged tremendously. The exact pre-disposing factors responsible for higher COVID-19 transmission in some geographical centers remain elusive. Investigations have corroborated putative links between air pollutants and COVID-19 mortalities. Therefore, we further mapped PM(2.5), PM(10), NO(2), and SO(2) to co-relate with COVID-19 infectivity and mortality across the study states. Significant (P < 0.001) positive correlation between COVID-19 transmission was established for all pollutants with maximum co-relation with AQI followed by NO(2). River Ganga water in Uttarakhand was deemed “fit for drinking” for the first time in two decades. An aggregate of −71.94, −61.32, and −77.94 decrease in BOD, COD, total coliform levels, and an 11.75 rise in the average DO levels from 2019 data. This study will better assist the future framework of health and environment restoration policies.
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spelling pubmed-87214832022-01-03 COVID-19 lockdown and environmental pollution: an Indian multi-state investigation Marwah, Mansi Agrawala, Paban K. Environ Monit Assess Article Originating from China, COVID-19 became the first-ever coronavirus pandemic, wreaking havoc in 218 nations. The lack of a potential treatment exacerbated by the inability of the healthcare infrastructure to contain the viral trajectory led to a worldwide lockdown. The anthropogenic halt presented an unprecedented background to quantify the effect of the anthroposphere on environmental pollution. Consequently, we analyzed the variations in the air (PM(10), PM(2.5), NO(2), SO(2)) and water pollutants (BOD, COD, DO, coliform) using real-time monitoring data in the majorly hit Indian metropolitan states during the lockdown in contrast to 2019 levels. The overall AQI (air quality index) de-escalated by −31.35%, −34.35%, −32.63%, −29.25% in Delhi, Tamil Nadu, West Bengal, and Karnataka, respectively, from the 2019 levels. The daily concentrations of NO(2), PM(2.5), and PM(10) plunged tremendously. The exact pre-disposing factors responsible for higher COVID-19 transmission in some geographical centers remain elusive. Investigations have corroborated putative links between air pollutants and COVID-19 mortalities. Therefore, we further mapped PM(2.5), PM(10), NO(2), and SO(2) to co-relate with COVID-19 infectivity and mortality across the study states. Significant (P < 0.001) positive correlation between COVID-19 transmission was established for all pollutants with maximum co-relation with AQI followed by NO(2). River Ganga water in Uttarakhand was deemed “fit for drinking” for the first time in two decades. An aggregate of −71.94, −61.32, and −77.94 decrease in BOD, COD, total coliform levels, and an 11.75 rise in the average DO levels from 2019 data. This study will better assist the future framework of health and environment restoration policies. Springer International Publishing 2022-01-03 2022 /pmc/articles/PMC8721483/ /pubmed/34978634 http://dx.doi.org/10.1007/s10661-021-09693-9 Text en © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022 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 Article
Marwah, Mansi
Agrawala, Paban K.
COVID-19 lockdown and environmental pollution: an Indian multi-state investigation
title COVID-19 lockdown and environmental pollution: an Indian multi-state investigation
title_full COVID-19 lockdown and environmental pollution: an Indian multi-state investigation
title_fullStr COVID-19 lockdown and environmental pollution: an Indian multi-state investigation
title_full_unstemmed COVID-19 lockdown and environmental pollution: an Indian multi-state investigation
title_short COVID-19 lockdown and environmental pollution: an Indian multi-state investigation
title_sort covid-19 lockdown and environmental pollution: an indian multi-state investigation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8721483/
https://www.ncbi.nlm.nih.gov/pubmed/34978634
http://dx.doi.org/10.1007/s10661-021-09693-9
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