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Coupled multifractal methods to reveal changes in nitrogen dioxide and tropospheric ozone concentrations during the COVID-19 lockdown

Due to COVID-19 pandemic, the lockdown effects on air pollution level are undeniable. Several studies around the world have detected an uneven behaviour in tropospheric ozone (O(3)) concentrations. In this work, Seville (Spain) is used as example of faced to traffic place in which the nitrogen dioxi...

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Autores principales: Pavón-Domínguez, Pablo, Plocoste, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9756894/
https://www.ncbi.nlm.nih.gov/pubmed/36540717
http://dx.doi.org/10.1016/j.atmosres.2021.105755
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author Pavón-Domínguez, Pablo
Plocoste, Thomas
author_facet Pavón-Domínguez, Pablo
Plocoste, Thomas
author_sort Pavón-Domínguez, Pablo
collection PubMed
description Due to COVID-19 pandemic, the lockdown effects on air pollution level are undeniable. Several studies around the world have detected an uneven behaviour in tropospheric ozone (O(3)) concentrations. In this work, Seville (Spain) is used as example of faced to traffic place in which the nitrogen dioxide (NO(2)) is drastically reduced (41%) while O(3) has no significant changes. In order to evaluate the existence of differences in O(3) behaviour that is not detected by statistical procedures, a multifractal approach was used to assess the coupled scale relationship between NO(2) and O(3) during the 2020 lockdown against a period reference (2017–2019). For this purpose, the two main coupled multifractal method were employed: multifractal detrended cross-correlation and joint multifractal analysis. While cross-correlation analysis did not detect differences between the cross-correlated fluctuations of NO(2) and O(3) in the periods analysed, the joint multifractal analysis, based on the partition function and the method of moments, found a loss of variability in O(3) during the lockdown. This leads to a loss of multifractal characteristic of O(3) time series. The drastically reduction of primary pollutants during the lockdown might be the responsible of the tendency to monofractality in O(3) time series. These differences were found for a wide temporal extent ranging from 80 min to ~28 days.
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spelling pubmed-97568942022-12-16 Coupled multifractal methods to reveal changes in nitrogen dioxide and tropospheric ozone concentrations during the COVID-19 lockdown Pavón-Domínguez, Pablo Plocoste, Thomas Atmos Res Article Due to COVID-19 pandemic, the lockdown effects on air pollution level are undeniable. Several studies around the world have detected an uneven behaviour in tropospheric ozone (O(3)) concentrations. In this work, Seville (Spain) is used as example of faced to traffic place in which the nitrogen dioxide (NO(2)) is drastically reduced (41%) while O(3) has no significant changes. In order to evaluate the existence of differences in O(3) behaviour that is not detected by statistical procedures, a multifractal approach was used to assess the coupled scale relationship between NO(2) and O(3) during the 2020 lockdown against a period reference (2017–2019). For this purpose, the two main coupled multifractal method were employed: multifractal detrended cross-correlation and joint multifractal analysis. While cross-correlation analysis did not detect differences between the cross-correlated fluctuations of NO(2) and O(3) in the periods analysed, the joint multifractal analysis, based on the partition function and the method of moments, found a loss of variability in O(3) during the lockdown. This leads to a loss of multifractal characteristic of O(3) time series. The drastically reduction of primary pollutants during the lockdown might be the responsible of the tendency to monofractality in O(3) time series. These differences were found for a wide temporal extent ranging from 80 min to ~28 days. Elsevier B.V. 2021-10-15 2021-07-02 /pmc/articles/PMC9756894/ /pubmed/36540717 http://dx.doi.org/10.1016/j.atmosres.2021.105755 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
Pavón-Domínguez, Pablo
Plocoste, Thomas
Coupled multifractal methods to reveal changes in nitrogen dioxide and tropospheric ozone concentrations during the COVID-19 lockdown
title Coupled multifractal methods to reveal changes in nitrogen dioxide and tropospheric ozone concentrations during the COVID-19 lockdown
title_full Coupled multifractal methods to reveal changes in nitrogen dioxide and tropospheric ozone concentrations during the COVID-19 lockdown
title_fullStr Coupled multifractal methods to reveal changes in nitrogen dioxide and tropospheric ozone concentrations during the COVID-19 lockdown
title_full_unstemmed Coupled multifractal methods to reveal changes in nitrogen dioxide and tropospheric ozone concentrations during the COVID-19 lockdown
title_short Coupled multifractal methods to reveal changes in nitrogen dioxide and tropospheric ozone concentrations during the COVID-19 lockdown
title_sort coupled multifractal methods to reveal changes in nitrogen dioxide and tropospheric ozone concentrations during the covid-19 lockdown
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9756894/
https://www.ncbi.nlm.nih.gov/pubmed/36540717
http://dx.doi.org/10.1016/j.atmosres.2021.105755
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