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Spatio-temporal analysis of air quality and its relationship with COVID-19 lockdown over Dublin

Air pollution has become one of the biggest challenges for human and environmental health. Major pollutants such as Nitrogen Dioxide (NO [Formula: see text]), Sulphur Dioxide (SO [Formula: see text]), Ozone (O [Formula: see text]), Carbon Monoxide (CO), and Particulate matter (PM(10) and PM(2.5)) ar...

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Autores principales: Kumari, Sushma, Yadav, Avinash Chand, Saharia, Manabendra, Dev, Soumyabrata
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9523949/
https://www.ncbi.nlm.nih.gov/pubmed/36196454
http://dx.doi.org/10.1016/j.rsase.2022.100835
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author Kumari, Sushma
Yadav, Avinash Chand
Saharia, Manabendra
Dev, Soumyabrata
author_facet Kumari, Sushma
Yadav, Avinash Chand
Saharia, Manabendra
Dev, Soumyabrata
author_sort Kumari, Sushma
collection PubMed
description Air pollution has become one of the biggest challenges for human and environmental health. Major pollutants such as Nitrogen Dioxide (NO [Formula: see text]), Sulphur Dioxide (SO [Formula: see text]), Ozone (O [Formula: see text]), Carbon Monoxide (CO), and Particulate matter (PM(10) and PM(2.5)) are being ejected in a large quantity every day. Initially, authorities did not implement the strictest mitigation policies due to pressures of balancing the economic needs of people and public safety. Still, after realizing the effect of the COVID-19 pandemic, countries around the world imposed a complete lockdown to contain the outbreak, which had the unexpected benefit of causing a drastic improvement in air quality. The present study investigates the air pollution scenarios over the Dublin city through satellites (Sentinel-5P and Moderate Resolution Imaging Spectroradiometer) and ground-based observations. An average of 28% reduction in average NO [Formula: see text] level and a 27.7% improvement in AQI (Air Quality Index) was experienced in 2020 compared to 2019 during the lockdown period (27 March–05 June). We found that PM(10) and PM(2.5) are the most dominating factor in the AQI over Dublin.
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spelling pubmed-95239492022-09-30 Spatio-temporal analysis of air quality and its relationship with COVID-19 lockdown over Dublin Kumari, Sushma Yadav, Avinash Chand Saharia, Manabendra Dev, Soumyabrata Remote Sens Appl Article Air pollution has become one of the biggest challenges for human and environmental health. Major pollutants such as Nitrogen Dioxide (NO [Formula: see text]), Sulphur Dioxide (SO [Formula: see text]), Ozone (O [Formula: see text]), Carbon Monoxide (CO), and Particulate matter (PM(10) and PM(2.5)) are being ejected in a large quantity every day. Initially, authorities did not implement the strictest mitigation policies due to pressures of balancing the economic needs of people and public safety. Still, after realizing the effect of the COVID-19 pandemic, countries around the world imposed a complete lockdown to contain the outbreak, which had the unexpected benefit of causing a drastic improvement in air quality. The present study investigates the air pollution scenarios over the Dublin city through satellites (Sentinel-5P and Moderate Resolution Imaging Spectroradiometer) and ground-based observations. An average of 28% reduction in average NO [Formula: see text] level and a 27.7% improvement in AQI (Air Quality Index) was experienced in 2020 compared to 2019 during the lockdown period (27 March–05 June). We found that PM(10) and PM(2.5) are the most dominating factor in the AQI over Dublin. Elsevier B.V. 2022-11 2022-09-30 /pmc/articles/PMC9523949/ /pubmed/36196454 http://dx.doi.org/10.1016/j.rsase.2022.100835 Text en © 2022 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
Kumari, Sushma
Yadav, Avinash Chand
Saharia, Manabendra
Dev, Soumyabrata
Spatio-temporal analysis of air quality and its relationship with COVID-19 lockdown over Dublin
title Spatio-temporal analysis of air quality and its relationship with COVID-19 lockdown over Dublin
title_full Spatio-temporal analysis of air quality and its relationship with COVID-19 lockdown over Dublin
title_fullStr Spatio-temporal analysis of air quality and its relationship with COVID-19 lockdown over Dublin
title_full_unstemmed Spatio-temporal analysis of air quality and its relationship with COVID-19 lockdown over Dublin
title_short Spatio-temporal analysis of air quality and its relationship with COVID-19 lockdown over Dublin
title_sort spatio-temporal analysis of air quality and its relationship with covid-19 lockdown over dublin
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9523949/
https://www.ncbi.nlm.nih.gov/pubmed/36196454
http://dx.doi.org/10.1016/j.rsase.2022.100835
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