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Positive effects of COVID-19 lockdown on air quality of industrial cities (Ankleshwar and Vapi) of Western India
On January 30, 2020, India recorded its first COVID-19 positive case in Kerala, which was followed by a nationwide lockdown extended in four different phases from 25th March to 31st May, 2020, and an unlock period thereafter. The lockdown has led to colossal economic loss to India; however, it has c...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7895933/ https://www.ncbi.nlm.nih.gov/pubmed/33608603 http://dx.doi.org/10.1038/s41598-021-83393-9 |
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author | Nigam, Ritwik Pandya, Kanvi Luis, Alvarinho J. Sengupta, Raja Kotha, Mahender |
author_facet | Nigam, Ritwik Pandya, Kanvi Luis, Alvarinho J. Sengupta, Raja Kotha, Mahender |
author_sort | Nigam, Ritwik |
collection | PubMed |
description | On January 30, 2020, India recorded its first COVID-19 positive case in Kerala, which was followed by a nationwide lockdown extended in four different phases from 25th March to 31st May, 2020, and an unlock period thereafter. The lockdown has led to colossal economic loss to India; however, it has come as a respite to the environment. Utilizing the air quality index (AQI) data recorded during this adverse time, the present study is undertaken to assess the impact of lockdown on the air quality of Ankleshwar and Vapi, Gujarat, India. The AQI data obtained from the Central Pollution Control Board was assessed for four lockdown phases. We compared air quality data for the unlock phase with a coinciding period in 2019 to determine the changes in pollutant concentrations during the lockdown, analyzing daily AQI data for six pollutants (PM(10), PM(2.5), CO, NO(2), O(3), and SO(2)). A meta-analysis of continuous data was performed to determine the mean and standard deviation of each lockdown phase, and their differences were computed in percentage in comparison to 2019; along with the linear correlation analysis and linear regression analysis to determine the relationship among the air pollutants and their trend for the lockdown days. The results revealed different patterns of gradual to a rapid reduction in most of the pollutant concentrations (PM(10), PM(2.5,) CO, SO(2)), and an increment in ozone concentration was observed due to a drastic reduction in NO(2) by 80.18%. Later, increases in other pollutants were also observed as the restrictions were eased during phase-4 and unlock 1. The comparison between the two cities found that factors like distance from the Arabian coast and different industrial setups played a vital role in different emission trends. |
format | Online Article Text |
id | pubmed-7895933 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-78959332021-02-24 Positive effects of COVID-19 lockdown on air quality of industrial cities (Ankleshwar and Vapi) of Western India Nigam, Ritwik Pandya, Kanvi Luis, Alvarinho J. Sengupta, Raja Kotha, Mahender Sci Rep Article On January 30, 2020, India recorded its first COVID-19 positive case in Kerala, which was followed by a nationwide lockdown extended in four different phases from 25th March to 31st May, 2020, and an unlock period thereafter. The lockdown has led to colossal economic loss to India; however, it has come as a respite to the environment. Utilizing the air quality index (AQI) data recorded during this adverse time, the present study is undertaken to assess the impact of lockdown on the air quality of Ankleshwar and Vapi, Gujarat, India. The AQI data obtained from the Central Pollution Control Board was assessed for four lockdown phases. We compared air quality data for the unlock phase with a coinciding period in 2019 to determine the changes in pollutant concentrations during the lockdown, analyzing daily AQI data for six pollutants (PM(10), PM(2.5), CO, NO(2), O(3), and SO(2)). A meta-analysis of continuous data was performed to determine the mean and standard deviation of each lockdown phase, and their differences were computed in percentage in comparison to 2019; along with the linear correlation analysis and linear regression analysis to determine the relationship among the air pollutants and their trend for the lockdown days. The results revealed different patterns of gradual to a rapid reduction in most of the pollutant concentrations (PM(10), PM(2.5,) CO, SO(2)), and an increment in ozone concentration was observed due to a drastic reduction in NO(2) by 80.18%. Later, increases in other pollutants were also observed as the restrictions were eased during phase-4 and unlock 1. The comparison between the two cities found that factors like distance from the Arabian coast and different industrial setups played a vital role in different emission trends. Nature Publishing Group UK 2021-02-19 /pmc/articles/PMC7895933/ /pubmed/33608603 http://dx.doi.org/10.1038/s41598-021-83393-9 Text en © The Author(s) 2021 Open Access This 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/. |
spellingShingle | Article Nigam, Ritwik Pandya, Kanvi Luis, Alvarinho J. Sengupta, Raja Kotha, Mahender Positive effects of COVID-19 lockdown on air quality of industrial cities (Ankleshwar and Vapi) of Western India |
title | Positive effects of COVID-19 lockdown on air quality of industrial cities (Ankleshwar and Vapi) of Western India |
title_full | Positive effects of COVID-19 lockdown on air quality of industrial cities (Ankleshwar and Vapi) of Western India |
title_fullStr | Positive effects of COVID-19 lockdown on air quality of industrial cities (Ankleshwar and Vapi) of Western India |
title_full_unstemmed | Positive effects of COVID-19 lockdown on air quality of industrial cities (Ankleshwar and Vapi) of Western India |
title_short | Positive effects of COVID-19 lockdown on air quality of industrial cities (Ankleshwar and Vapi) of Western India |
title_sort | positive effects of covid-19 lockdown on air quality of industrial cities (ankleshwar and vapi) of western india |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7895933/ https://www.ncbi.nlm.nih.gov/pubmed/33608603 http://dx.doi.org/10.1038/s41598-021-83393-9 |
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