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Changing air pollution scenario during COVID-19: Redefining the hotspot regions over India()
The present study investigates the air pollution pattern over India during the COVID-19 lockdown period (24 March–31 May 2020), pre-lockdown (1–23 March 2020) and the same periods from 2019 using Moderate Resolution Imaging Spectroradiometer (MODIS) Terra aerosol optical depth (AOD) with level 2 (10...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7833198/ https://www.ncbi.nlm.nih.gov/pubmed/33387785 http://dx.doi.org/10.1016/j.envpol.2020.116354 |
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author | Tyagi, Bhishma Choudhury, Goutam Vissa, Naresh Krishna Singh, Jyotsna Tesche, Matthias |
author_facet | Tyagi, Bhishma Choudhury, Goutam Vissa, Naresh Krishna Singh, Jyotsna Tesche, Matthias |
author_sort | Tyagi, Bhishma |
collection | PubMed |
description | The present study investigates the air pollution pattern over India during the COVID-19 lockdown period (24 March–31 May 2020), pre-lockdown (1–23 March 2020) and the same periods from 2019 using Moderate Resolution Imaging Spectroradiometer (MODIS) Terra aerosol optical depth (AOD) with level 2 (10 km × 10 km) and level 3 (1° × 1° gridded) collection 6.1 Dark Target Deep Blue (DT-DB) aerosol product the Tropospheric Monitoring Instrument (TROPOMI) NO(2) and SO(2) data with a spatial resolution of 7 km × 3.5 km. We also use long-term average (2000–2017) of AOD for March–May to identify existing hotspot regions and to compare the variations observed in 2019 and 2020. The aim of the present work is to identify the pollution hotspot regions in India that existed during the lockdown and understanding the future projection scenarios reported by previous studies in light of the present findings. We have incorporated Menn-Kendall trend analysis to understand the AOD trends over India and percentage change in AOD, NO(2) and SO(2) to identify air pollution pattern changes during the lockdown. The results indicate higher air pollution levels over eastern India over the coal-fired power plants clusters. By considering the earlier projected studies, our results suggest that eastern India will have higher levels of air pollution, making it a new hotspot region for air pollution with highest magnitudes. |
format | Online Article Text |
id | pubmed-7833198 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78331982021-01-26 Changing air pollution scenario during COVID-19: Redefining the hotspot regions over India() Tyagi, Bhishma Choudhury, Goutam Vissa, Naresh Krishna Singh, Jyotsna Tesche, Matthias Environ Pollut Article The present study investigates the air pollution pattern over India during the COVID-19 lockdown period (24 March–31 May 2020), pre-lockdown (1–23 March 2020) and the same periods from 2019 using Moderate Resolution Imaging Spectroradiometer (MODIS) Terra aerosol optical depth (AOD) with level 2 (10 km × 10 km) and level 3 (1° × 1° gridded) collection 6.1 Dark Target Deep Blue (DT-DB) aerosol product the Tropospheric Monitoring Instrument (TROPOMI) NO(2) and SO(2) data with a spatial resolution of 7 km × 3.5 km. We also use long-term average (2000–2017) of AOD for March–May to identify existing hotspot regions and to compare the variations observed in 2019 and 2020. The aim of the present work is to identify the pollution hotspot regions in India that existed during the lockdown and understanding the future projection scenarios reported by previous studies in light of the present findings. We have incorporated Menn-Kendall trend analysis to understand the AOD trends over India and percentage change in AOD, NO(2) and SO(2) to identify air pollution pattern changes during the lockdown. The results indicate higher air pollution levels over eastern India over the coal-fired power plants clusters. By considering the earlier projected studies, our results suggest that eastern India will have higher levels of air pollution, making it a new hotspot region for air pollution with highest magnitudes. Elsevier Ltd. 2021-02-15 2020-12-22 /pmc/articles/PMC7833198/ /pubmed/33387785 http://dx.doi.org/10.1016/j.envpol.2020.116354 Text en © 2020 Elsevier Ltd. 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 Tyagi, Bhishma Choudhury, Goutam Vissa, Naresh Krishna Singh, Jyotsna Tesche, Matthias Changing air pollution scenario during COVID-19: Redefining the hotspot regions over India() |
title | Changing air pollution scenario during COVID-19: Redefining the hotspot regions over India() |
title_full | Changing air pollution scenario during COVID-19: Redefining the hotspot regions over India() |
title_fullStr | Changing air pollution scenario during COVID-19: Redefining the hotspot regions over India() |
title_full_unstemmed | Changing air pollution scenario during COVID-19: Redefining the hotspot regions over India() |
title_short | Changing air pollution scenario during COVID-19: Redefining the hotspot regions over India() |
title_sort | changing air pollution scenario during covid-19: redefining the hotspot regions over india() |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7833198/ https://www.ncbi.nlm.nih.gov/pubmed/33387785 http://dx.doi.org/10.1016/j.envpol.2020.116354 |
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