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Emission estimates and air quality simulation on Lombardy during lockdown

This paper illustrates the study carried out by ARPA Lombardia to quantify the variation in daily emissions of the main pollutants and their impacts on air quality in Lombardy during the anti-COVID-19 lockdown between the end of February and the end of May 2020. A methodology for emission estimates...

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Autores principales: Marongiu, Alessandro, Angelino, Elisabetta, Malvestiti, Giulia, Moretti, Marco, Fossati, Giuseppe, Peroni, Edoardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9557994/
https://www.ncbi.nlm.nih.gov/pubmed/36254339
http://dx.doi.org/10.1007/s11869-022-01265-1
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author Marongiu, Alessandro
Angelino, Elisabetta
Malvestiti, Giulia
Moretti, Marco
Fossati, Giuseppe
Peroni, Edoardo
author_facet Marongiu, Alessandro
Angelino, Elisabetta
Malvestiti, Giulia
Moretti, Marco
Fossati, Giuseppe
Peroni, Edoardo
author_sort Marongiu, Alessandro
collection PubMed
description This paper illustrates the study carried out by ARPA Lombardia to quantify the variation in daily emissions of the main pollutants and their impacts on air quality in Lombardy during the anti-COVID-19 lockdown between the end of February and the end of May 2020. A methodology for emission estimates was developed over Lombardy for this purpose and later was extended to larger areas: the Po-basin, (LIFE PREPAIR 2020) and the entire Italy (PULVIRUS 2021). In this study, the daily emissions estimates were derived by combining data from air emission inventory of Lombardy and a set of indicators that allowed to update the estimates and describe the temporal and spatial variations of the emission sources. The calculation of emission variation was conducted for all the main pollutants (PM(10), NH(3), NO(x), SO(2), NMVOC) and the greenhouse gases; then, the impact on air quality concentrations was simulated by the chemical and transport model FARM, that also allows to track secondary particulate and its variability in time and space on the basis of nonlinear processes and weather conditions. The estimated emission reduction, compared to the expected average value in the absence of anti-COVID-19 measures, daily varies depending on pollutants and is mainly affected by reductions in road traffic emissions and an estimated increase in domestic heating emissions. Simulations confirm strong reductions of NO(2) atmospheric average concentrations, slightly variations of PM(10) averages and a potential growth of tropospheric ozone.
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spelling pubmed-95579942022-10-13 Emission estimates and air quality simulation on Lombardy during lockdown Marongiu, Alessandro Angelino, Elisabetta Malvestiti, Giulia Moretti, Marco Fossati, Giuseppe Peroni, Edoardo Air Qual Atmos Health Article This paper illustrates the study carried out by ARPA Lombardia to quantify the variation in daily emissions of the main pollutants and their impacts on air quality in Lombardy during the anti-COVID-19 lockdown between the end of February and the end of May 2020. A methodology for emission estimates was developed over Lombardy for this purpose and later was extended to larger areas: the Po-basin, (LIFE PREPAIR 2020) and the entire Italy (PULVIRUS 2021). In this study, the daily emissions estimates were derived by combining data from air emission inventory of Lombardy and a set of indicators that allowed to update the estimates and describe the temporal and spatial variations of the emission sources. The calculation of emission variation was conducted for all the main pollutants (PM(10), NH(3), NO(x), SO(2), NMVOC) and the greenhouse gases; then, the impact on air quality concentrations was simulated by the chemical and transport model FARM, that also allows to track secondary particulate and its variability in time and space on the basis of nonlinear processes and weather conditions. The estimated emission reduction, compared to the expected average value in the absence of anti-COVID-19 measures, daily varies depending on pollutants and is mainly affected by reductions in road traffic emissions and an estimated increase in domestic heating emissions. Simulations confirm strong reductions of NO(2) atmospheric average concentrations, slightly variations of PM(10) averages and a potential growth of tropospheric ozone. Springer Netherlands 2022-10-13 2023 /pmc/articles/PMC9557994/ /pubmed/36254339 http://dx.doi.org/10.1007/s11869-022-01265-1 Text en © The Author(s), under exclusive licence to Springer Nature B.V. 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Marongiu, Alessandro
Angelino, Elisabetta
Malvestiti, Giulia
Moretti, Marco
Fossati, Giuseppe
Peroni, Edoardo
Emission estimates and air quality simulation on Lombardy during lockdown
title Emission estimates and air quality simulation on Lombardy during lockdown
title_full Emission estimates and air quality simulation on Lombardy during lockdown
title_fullStr Emission estimates and air quality simulation on Lombardy during lockdown
title_full_unstemmed Emission estimates and air quality simulation on Lombardy during lockdown
title_short Emission estimates and air quality simulation on Lombardy during lockdown
title_sort emission estimates and air quality simulation on lombardy during lockdown
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9557994/
https://www.ncbi.nlm.nih.gov/pubmed/36254339
http://dx.doi.org/10.1007/s11869-022-01265-1
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