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Analysis of the lockdown effects due to the COVID-19 on air pollution in Brescia (Lombardy)
SARS-CoV-2 virus (COVID-19) pandemic has impacted several countries, with also some differences at local levels. When lockdown restrictions were imposed, the concentrations of some air pollutants were reduced, as reported in some other cities in the world. This was often considered a positive by-pro...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8956346/ https://www.ncbi.nlm.nih.gov/pubmed/35346657 http://dx.doi.org/10.1016/j.envres.2022.113193 |
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author | Bontempi, Elza Carnevale, Claudio Cornelio, Antonella Volta, Marialuisa Zanoletti, Alessandra |
author_facet | Bontempi, Elza Carnevale, Claudio Cornelio, Antonella Volta, Marialuisa Zanoletti, Alessandra |
author_sort | Bontempi, Elza |
collection | PubMed |
description | SARS-CoV-2 virus (COVID-19) pandemic has impacted several countries, with also some differences at local levels. When lockdown restrictions were imposed, the concentrations of some air pollutants were reduced, as reported in some other cities in the world. This was often considered a positive by-product of the pandemic. However, often literature reporting the connection of air quality (AQ) and lockdown, suffers of limited and incomplete data analysis, not considering, for example, some confounding factors. This work presents a methodology, and the results of its application, to assess the impact of pandemic restrictions on AQ (in particular nitrogen oxides, NO(2) and particulate matter, PM(10)) in spring 2020 in Brescia, located in one of the most affected areas in terms of virus diffusion and in one of the most polluted areas in Europe (Po Valley, Italy). In particular, the proposed methodology integrates data and AQ modelling simulations to distinguish between the changes in the PM(10) and NO(2) pollutants concentration that occurred due to the restriction measures and due to other factors, like spatial-temporal characteristics (for example the seasonality), meteorological factors, and governmental actions that were introduced in the past to improve the air quality. Results show that NO(2) is strongly dependent to traffic emission. On the contrary, although the expected decrease in PM(10) concentrations, the results highlight that the reduction of transport emission would not help to avoid severe air pollution, due to the other pollution sources that contribute to its origin. The results presented for the first time in this work are of particular interest because they may be used as a basis to investigate in more details the sources that can impact on the air quality in Brescia, with the aim to propose effective measures able to reduce it. |
format | Online Article Text |
id | pubmed-8956346 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-89563462022-03-28 Analysis of the lockdown effects due to the COVID-19 on air pollution in Brescia (Lombardy) Bontempi, Elza Carnevale, Claudio Cornelio, Antonella Volta, Marialuisa Zanoletti, Alessandra Environ Res Article SARS-CoV-2 virus (COVID-19) pandemic has impacted several countries, with also some differences at local levels. When lockdown restrictions were imposed, the concentrations of some air pollutants were reduced, as reported in some other cities in the world. This was often considered a positive by-product of the pandemic. However, often literature reporting the connection of air quality (AQ) and lockdown, suffers of limited and incomplete data analysis, not considering, for example, some confounding factors. This work presents a methodology, and the results of its application, to assess the impact of pandemic restrictions on AQ (in particular nitrogen oxides, NO(2) and particulate matter, PM(10)) in spring 2020 in Brescia, located in one of the most affected areas in terms of virus diffusion and in one of the most polluted areas in Europe (Po Valley, Italy). In particular, the proposed methodology integrates data and AQ modelling simulations to distinguish between the changes in the PM(10) and NO(2) pollutants concentration that occurred due to the restriction measures and due to other factors, like spatial-temporal characteristics (for example the seasonality), meteorological factors, and governmental actions that were introduced in the past to improve the air quality. Results show that NO(2) is strongly dependent to traffic emission. On the contrary, although the expected decrease in PM(10) concentrations, the results highlight that the reduction of transport emission would not help to avoid severe air pollution, due to the other pollution sources that contribute to its origin. The results presented for the first time in this work are of particular interest because they may be used as a basis to investigate in more details the sources that can impact on the air quality in Brescia, with the aim to propose effective measures able to reduce it. Elsevier Inc. 2022-09 2022-03-25 /pmc/articles/PMC8956346/ /pubmed/35346657 http://dx.doi.org/10.1016/j.envres.2022.113193 Text en © 2022 Elsevier Inc. 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 Bontempi, Elza Carnevale, Claudio Cornelio, Antonella Volta, Marialuisa Zanoletti, Alessandra Analysis of the lockdown effects due to the COVID-19 on air pollution in Brescia (Lombardy) |
title | Analysis of the lockdown effects due to the COVID-19 on air pollution in Brescia (Lombardy) |
title_full | Analysis of the lockdown effects due to the COVID-19 on air pollution in Brescia (Lombardy) |
title_fullStr | Analysis of the lockdown effects due to the COVID-19 on air pollution in Brescia (Lombardy) |
title_full_unstemmed | Analysis of the lockdown effects due to the COVID-19 on air pollution in Brescia (Lombardy) |
title_short | Analysis of the lockdown effects due to the COVID-19 on air pollution in Brescia (Lombardy) |
title_sort | analysis of the lockdown effects due to the covid-19 on air pollution in brescia (lombardy) |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8956346/ https://www.ncbi.nlm.nih.gov/pubmed/35346657 http://dx.doi.org/10.1016/j.envres.2022.113193 |
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