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PM(2.5) and PM(10) during COVID-19 lockdown in Kuwait: Mixed effect of dust and meteorological covariates

This study investigated the impact of COVID-19 lockdown on particulate matter concentrations, specifically PM(2.5) and PM(10), in Kuwait. We studied the variations in PM(2.5) and PM(10) between the lockdown in 2020 with the corresponding periods of the years 2017–2019, and also investigated the diff...

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Autores principales: Al-Hemoud, Ali, Al-Khayat, Ahmad, Al-Dashti, Hassan, Li, Jing, Alahmad, Barrak, Koutrakis, Petros
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier B.V. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8282454/
http://dx.doi.org/10.1016/j.envc.2021.100215
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author Al-Hemoud, Ali
Al-Khayat, Ahmad
Al-Dashti, Hassan
Li, Jing
Alahmad, Barrak
Koutrakis, Petros
author_facet Al-Hemoud, Ali
Al-Khayat, Ahmad
Al-Dashti, Hassan
Li, Jing
Alahmad, Barrak
Koutrakis, Petros
author_sort Al-Hemoud, Ali
collection PubMed
description This study investigated the impact of COVID-19 lockdown on particulate matter concentrations, specifically PM(2.5) and PM(10), in Kuwait. We studied the variations in PM(2.5) and PM(10) between the lockdown in 2020 with the corresponding periods of the years 2017–2019, and also investigated the differences in PM variations between the ‘curfew’ and ‘non curfew’ hours. We applied mixed-effect regression to investigate the factors that dictate PM variability (i.e., dust and meteorological covariates), and also processed satellite-based aerosol optical depths (AOD) to determine the spatial variability in aerosol loads. The results showed low PM(2.5) concentration during the lockdown (33 μg/m(3)) compared to the corresponding previous three years (2017–2019); however, the PM(10) concentration (122.5 μg/m(3)) increased relative to 2017 (116.6 μg/m(3)), and 2019 (92.8 μg/m(3)). After removing the ‘dust effects’, both PM(2.5) and PM(10) levels dropped by 18% and 31%, respectively. The mixed-effect regression model showed that high temperature and high wind speed were the main contributors to high PM(2.5) and PM(10), respectively, in addition to the dust haze and blowing dust. This study highlights that the reductions of anthropogenic source emissions are overwhelmed by dust events and adverse meteorology in arid regions, and that the lockdown did not reduce the high concentrations of PM in Kuwait.
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spelling pubmed-82824542021-07-20 PM(2.5) and PM(10) during COVID-19 lockdown in Kuwait: Mixed effect of dust and meteorological covariates Al-Hemoud, Ali Al-Khayat, Ahmad Al-Dashti, Hassan Li, Jing Alahmad, Barrak Koutrakis, Petros Environmental Challenges Article This study investigated the impact of COVID-19 lockdown on particulate matter concentrations, specifically PM(2.5) and PM(10), in Kuwait. We studied the variations in PM(2.5) and PM(10) between the lockdown in 2020 with the corresponding periods of the years 2017–2019, and also investigated the differences in PM variations between the ‘curfew’ and ‘non curfew’ hours. We applied mixed-effect regression to investigate the factors that dictate PM variability (i.e., dust and meteorological covariates), and also processed satellite-based aerosol optical depths (AOD) to determine the spatial variability in aerosol loads. The results showed low PM(2.5) concentration during the lockdown (33 μg/m(3)) compared to the corresponding previous three years (2017–2019); however, the PM(10) concentration (122.5 μg/m(3)) increased relative to 2017 (116.6 μg/m(3)), and 2019 (92.8 μg/m(3)). After removing the ‘dust effects’, both PM(2.5) and PM(10) levels dropped by 18% and 31%, respectively. The mixed-effect regression model showed that high temperature and high wind speed were the main contributors to high PM(2.5) and PM(10), respectively, in addition to the dust haze and blowing dust. This study highlights that the reductions of anthropogenic source emissions are overwhelmed by dust events and adverse meteorology in arid regions, and that the lockdown did not reduce the high concentrations of PM in Kuwait. The Author(s). Published by Elsevier B.V. 2021-12 2021-07-16 /pmc/articles/PMC8282454/ http://dx.doi.org/10.1016/j.envc.2021.100215 Text en © 2021 The Author(s) 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
Al-Hemoud, Ali
Al-Khayat, Ahmad
Al-Dashti, Hassan
Li, Jing
Alahmad, Barrak
Koutrakis, Petros
PM(2.5) and PM(10) during COVID-19 lockdown in Kuwait: Mixed effect of dust and meteorological covariates
title PM(2.5) and PM(10) during COVID-19 lockdown in Kuwait: Mixed effect of dust and meteorological covariates
title_full PM(2.5) and PM(10) during COVID-19 lockdown in Kuwait: Mixed effect of dust and meteorological covariates
title_fullStr PM(2.5) and PM(10) during COVID-19 lockdown in Kuwait: Mixed effect of dust and meteorological covariates
title_full_unstemmed PM(2.5) and PM(10) during COVID-19 lockdown in Kuwait: Mixed effect of dust and meteorological covariates
title_short PM(2.5) and PM(10) during COVID-19 lockdown in Kuwait: Mixed effect of dust and meteorological covariates
title_sort pm(2.5) and pm(10) during covid-19 lockdown in kuwait: mixed effect of dust and meteorological covariates
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8282454/
http://dx.doi.org/10.1016/j.envc.2021.100215
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