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COVID-19’s lockdown effect on air quality in Indian cities using air quality zonal modeling
The complete lockdown due to COVID-19 pandemic has contributed to the improvement of air quality across the countries particularly in developing countries including India. This study aims to assess the air quality by monitoring major atmospheric pollutants such as AOD, CO, PM(2.5), NO(2), O(3) and S...
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/PMC9764145/ https://www.ncbi.nlm.nih.gov/pubmed/36569424 http://dx.doi.org/10.1016/j.uclim.2021.100802 |
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author | Rahaman, Saidur Jahangir, Selim Chen, Ruishan Kumar, Pankaj Thakur, Swati |
author_facet | Rahaman, Saidur Jahangir, Selim Chen, Ruishan Kumar, Pankaj Thakur, Swati |
author_sort | Rahaman, Saidur |
collection | PubMed |
description | The complete lockdown due to COVID-19 pandemic has contributed to the improvement of air quality across the countries particularly in developing countries including India. This study aims to assess the air quality by monitoring major atmospheric pollutants such as AOD, CO, PM(2.5), NO(2), O(3) and SO(2) in 15 major cities of India using Air Quality Zonal Modeling. The study is based on two different data sources; (a) grid data (MODIS- Terra, MERRA-2, OMI and AIRS, Global Modeling and Assimilation Office, NASA) and (b) ground monitoring station data provided by Central Pollution Control Board (CPCB) / State Pollution Control Board (SPCB). The remotely sensed data demonstrated that the concentration of PM(2.5) has declined by 14%, about 30% of NO(2) in million-plus cities, 2.06% CO, SO(2) within the range of 5 to 60%, whereas the concentration of O(3) has increased by 1 to 3% in majority of cities compared with pre lockdown. On the other hand, CPCB/SPCB data showed more than 40% decrease in PM(2.5) and 47% decrease in PM(10) in north Indian cities, more than 35% decrease in NO(2) in metropolitan cities, more than 85% decrease in SO(2) in Chennai and Nagpur and more than 17% increase in O(3) in five cities amid 43 days pandemic lockdown. The restrictions of anthropogenic activities have substantial effect on the emission of primary atmospheric pollutants. |
format | Online Article Text |
id | pubmed-9764145 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97641452022-12-20 COVID-19’s lockdown effect on air quality in Indian cities using air quality zonal modeling Rahaman, Saidur Jahangir, Selim Chen, Ruishan Kumar, Pankaj Thakur, Swati Urban Clim Article The complete lockdown due to COVID-19 pandemic has contributed to the improvement of air quality across the countries particularly in developing countries including India. This study aims to assess the air quality by monitoring major atmospheric pollutants such as AOD, CO, PM(2.5), NO(2), O(3) and SO(2) in 15 major cities of India using Air Quality Zonal Modeling. The study is based on two different data sources; (a) grid data (MODIS- Terra, MERRA-2, OMI and AIRS, Global Modeling and Assimilation Office, NASA) and (b) ground monitoring station data provided by Central Pollution Control Board (CPCB) / State Pollution Control Board (SPCB). The remotely sensed data demonstrated that the concentration of PM(2.5) has declined by 14%, about 30% of NO(2) in million-plus cities, 2.06% CO, SO(2) within the range of 5 to 60%, whereas the concentration of O(3) has increased by 1 to 3% in majority of cities compared with pre lockdown. On the other hand, CPCB/SPCB data showed more than 40% decrease in PM(2.5) and 47% decrease in PM(10) in north Indian cities, more than 35% decrease in NO(2) in metropolitan cities, more than 85% decrease in SO(2) in Chennai and Nagpur and more than 17% increase in O(3) in five cities amid 43 days pandemic lockdown. The restrictions of anthropogenic activities have substantial effect on the emission of primary atmospheric pollutants. Elsevier B.V. 2021-03 2021-02-12 /pmc/articles/PMC9764145/ /pubmed/36569424 http://dx.doi.org/10.1016/j.uclim.2021.100802 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 Rahaman, Saidur Jahangir, Selim Chen, Ruishan Kumar, Pankaj Thakur, Swati COVID-19’s lockdown effect on air quality in Indian cities using air quality zonal modeling |
title | COVID-19’s lockdown effect on air quality in Indian cities using air quality zonal modeling |
title_full | COVID-19’s lockdown effect on air quality in Indian cities using air quality zonal modeling |
title_fullStr | COVID-19’s lockdown effect on air quality in Indian cities using air quality zonal modeling |
title_full_unstemmed | COVID-19’s lockdown effect on air quality in Indian cities using air quality zonal modeling |
title_short | COVID-19’s lockdown effect on air quality in Indian cities using air quality zonal modeling |
title_sort | covid-19’s lockdown effect on air quality in indian cities using air quality zonal modeling |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9764145/ https://www.ncbi.nlm.nih.gov/pubmed/36569424 http://dx.doi.org/10.1016/j.uclim.2021.100802 |
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