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PM(2.5) decadal data in cold vs. mild climate airports: COVID-19 era and a call for sustainable air quality policy

Airports are identified hotspots for air pollution, notably for fine particles (PM(2.5)) that are pivotal in aerosol-cloud interaction processes of climate change and human health. We herein studied the field observation and statistical analysis of 10-year data of PM(2.5) and selected emitted co-pol...

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Autores principales: Rangel-Alvarado, Rodrigo, Pal, Devendra, Ariya, Parisa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8975444/
https://www.ncbi.nlm.nih.gov/pubmed/35364791
http://dx.doi.org/10.1007/s11356-022-19708-8
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author Rangel-Alvarado, Rodrigo
Pal, Devendra
Ariya, Parisa
author_facet Rangel-Alvarado, Rodrigo
Pal, Devendra
Ariya, Parisa
author_sort Rangel-Alvarado, Rodrigo
collection PubMed
description Airports are identified hotspots for air pollution, notably for fine particles (PM(2.5)) that are pivotal in aerosol-cloud interaction processes of climate change and human health. We herein studied the field observation and statistical analysis of 10-year data of PM(2.5) and selected emitted co-pollutants (CO, NO(x), and O(3)), in the vicinity of three major Canadian airports, with moderate to cold climates. The decadal data analysis indicated that in colder climate airports, pollutants like PM(2.5) and CO accumulate disproportionally to their emissions in fall and winter, in comparison to airports in milder climates. Decadal daily averages and standard errors of PM(2.5) concentrations were as follows: Vancouver, 5.31 ± 0.017; Toronto, 6.71 ± 0.199; and Montreal, 7.52 ± 0.023 μg/m(3). The smallest and the coldest airport with the least flights/passengers had the highest PM(2.5) concentration. QQQ-ICP-MS/MS and HR-S/TEM analysis of aerosols near Montreal Airport indicated a wide range of emerging contaminants (Cd, Mo, Co, As, Ni, Cr, and Pb) ranging from 0.90 to 622 μg/L, which were also observed in the atmosphere. During the lockdown, a pronounced decrease in the concentrations of PM(2.5) and submicron particles, including nanoparticles(,) in residential areas close to airports was observed, conforming with the recommended workplace health thresholds (~ 2 × 10(4) cm(−3)), while before the lockdown, condensable particles were up to ~ 1 × 10(5) cm(−3). Targeted reduction of PM(2.5) emission is recommended for cold climate regions. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11356-022-19708-8.
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spelling pubmed-89754442022-04-04 PM(2.5) decadal data in cold vs. mild climate airports: COVID-19 era and a call for sustainable air quality policy Rangel-Alvarado, Rodrigo Pal, Devendra Ariya, Parisa Environ Sci Pollut Res Int Research Article Airports are identified hotspots for air pollution, notably for fine particles (PM(2.5)) that are pivotal in aerosol-cloud interaction processes of climate change and human health. We herein studied the field observation and statistical analysis of 10-year data of PM(2.5) and selected emitted co-pollutants (CO, NO(x), and O(3)), in the vicinity of three major Canadian airports, with moderate to cold climates. The decadal data analysis indicated that in colder climate airports, pollutants like PM(2.5) and CO accumulate disproportionally to their emissions in fall and winter, in comparison to airports in milder climates. Decadal daily averages and standard errors of PM(2.5) concentrations were as follows: Vancouver, 5.31 ± 0.017; Toronto, 6.71 ± 0.199; and Montreal, 7.52 ± 0.023 μg/m(3). The smallest and the coldest airport with the least flights/passengers had the highest PM(2.5) concentration. QQQ-ICP-MS/MS and HR-S/TEM analysis of aerosols near Montreal Airport indicated a wide range of emerging contaminants (Cd, Mo, Co, As, Ni, Cr, and Pb) ranging from 0.90 to 622 μg/L, which were also observed in the atmosphere. During the lockdown, a pronounced decrease in the concentrations of PM(2.5) and submicron particles, including nanoparticles(,) in residential areas close to airports was observed, conforming with the recommended workplace health thresholds (~ 2 × 10(4) cm(−3)), while before the lockdown, condensable particles were up to ~ 1 × 10(5) cm(−3). Targeted reduction of PM(2.5) emission is recommended for cold climate regions. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11356-022-19708-8. Springer Berlin Heidelberg 2022-04-01 2022 /pmc/articles/PMC8975444/ /pubmed/35364791 http://dx.doi.org/10.1007/s11356-022-19708-8 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 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 Research Article
Rangel-Alvarado, Rodrigo
Pal, Devendra
Ariya, Parisa
PM(2.5) decadal data in cold vs. mild climate airports: COVID-19 era and a call for sustainable air quality policy
title PM(2.5) decadal data in cold vs. mild climate airports: COVID-19 era and a call for sustainable air quality policy
title_full PM(2.5) decadal data in cold vs. mild climate airports: COVID-19 era and a call for sustainable air quality policy
title_fullStr PM(2.5) decadal data in cold vs. mild climate airports: COVID-19 era and a call for sustainable air quality policy
title_full_unstemmed PM(2.5) decadal data in cold vs. mild climate airports: COVID-19 era and a call for sustainable air quality policy
title_short PM(2.5) decadal data in cold vs. mild climate airports: COVID-19 era and a call for sustainable air quality policy
title_sort pm(2.5) decadal data in cold vs. mild climate airports: covid-19 era and a call for sustainable air quality policy
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8975444/
https://www.ncbi.nlm.nih.gov/pubmed/35364791
http://dx.doi.org/10.1007/s11356-022-19708-8
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