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Environmental impact of COVID-19 led lockdown: A satellite data-based assessment of air quality in Indian megacities
The strategies to contain the spread of COVID-19 pandemic, including restricted human movement and economic activities, have shown positive impacts on the environment. Present research analysed the effects of COVID-19 led lockdown on air quality with special reference to major pollutants, namely nit...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9764093/ https://www.ncbi.nlm.nih.gov/pubmed/36570864 http://dx.doi.org/10.1016/j.uclim.2021.100900 |
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author | Prakash, Satya Goswami, Mrinalini Khan, Y.D. Imran Nautiyal, Sunil |
author_facet | Prakash, Satya Goswami, Mrinalini Khan, Y.D. Imran Nautiyal, Sunil |
author_sort | Prakash, Satya |
collection | PubMed |
description | The strategies to contain the spread of COVID-19 pandemic, including restricted human movement and economic activities, have shown positive impacts on the environment. Present research analysed the effects of COVID-19 led lockdown on air quality with special reference to major pollutants, namely nitrogen dioxide (NO(2)), carbon monoxide (CO), sulphur dioxide (SO(2)) and aerosol optical depth (AOD). The assessment has been conducted for megacities of India (Delhi, Mumbai, Bengaluru, Chennai and Kolkata) for four months, that is, March and April in 2019 and 2020 using Sentinel 5P and MCD19A2 data. A decrease in concentrations of air pollutants, specifically NO(2) and SO(2,) has been observed during the lockdown period in all the cities; whereas CO and AOD have exhibited discrete pattern of spatio-temporal variation. Four megacities except Kolkata have revealed a positive correlation between NO(2) concentration and population density. The results conclude overall improvement in air quality during COVID-19 led lockdown. The current situation provides a unique opportunity to implement a structural economic change that could help us move towards a city with low emission economy. Realizing the achievable improvement of air quality, the study suggests further in-depth research on source attribution of individual pollutants to assess the prospect of emission reduction actions. |
format | Online Article Text |
id | pubmed-9764093 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97640932022-12-20 Environmental impact of COVID-19 led lockdown: A satellite data-based assessment of air quality in Indian megacities Prakash, Satya Goswami, Mrinalini Khan, Y.D. Imran Nautiyal, Sunil Urban Clim Article The strategies to contain the spread of COVID-19 pandemic, including restricted human movement and economic activities, have shown positive impacts on the environment. Present research analysed the effects of COVID-19 led lockdown on air quality with special reference to major pollutants, namely nitrogen dioxide (NO(2)), carbon monoxide (CO), sulphur dioxide (SO(2)) and aerosol optical depth (AOD). The assessment has been conducted for megacities of India (Delhi, Mumbai, Bengaluru, Chennai and Kolkata) for four months, that is, March and April in 2019 and 2020 using Sentinel 5P and MCD19A2 data. A decrease in concentrations of air pollutants, specifically NO(2) and SO(2,) has been observed during the lockdown period in all the cities; whereas CO and AOD have exhibited discrete pattern of spatio-temporal variation. Four megacities except Kolkata have revealed a positive correlation between NO(2) concentration and population density. The results conclude overall improvement in air quality during COVID-19 led lockdown. The current situation provides a unique opportunity to implement a structural economic change that could help us move towards a city with low emission economy. Realizing the achievable improvement of air quality, the study suggests further in-depth research on source attribution of individual pollutants to assess the prospect of emission reduction actions. Elsevier B.V. 2021-07 2021-06-24 /pmc/articles/PMC9764093/ /pubmed/36570864 http://dx.doi.org/10.1016/j.uclim.2021.100900 Text en © 2021 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Prakash, Satya Goswami, Mrinalini Khan, Y.D. Imran Nautiyal, Sunil Environmental impact of COVID-19 led lockdown: A satellite data-based assessment of air quality in Indian megacities |
title | Environmental impact of COVID-19 led lockdown: A satellite data-based assessment of air quality in Indian megacities |
title_full | Environmental impact of COVID-19 led lockdown: A satellite data-based assessment of air quality in Indian megacities |
title_fullStr | Environmental impact of COVID-19 led lockdown: A satellite data-based assessment of air quality in Indian megacities |
title_full_unstemmed | Environmental impact of COVID-19 led lockdown: A satellite data-based assessment of air quality in Indian megacities |
title_short | Environmental impact of COVID-19 led lockdown: A satellite data-based assessment of air quality in Indian megacities |
title_sort | environmental impact of covid-19 led lockdown: a satellite data-based assessment of air quality in indian megacities |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9764093/ https://www.ncbi.nlm.nih.gov/pubmed/36570864 http://dx.doi.org/10.1016/j.uclim.2021.100900 |
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