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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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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. |
format | Online Article Text |
id | pubmed-8721483 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT marwahmansi covid19lockdownandenvironmentalpollutionanindianmultistateinvestigation AT agrawalapabank covid19lockdownandenvironmentalpollutionanindianmultistateinvestigation |