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The Effect of Lockdown Period during the COVID-19 Pandemic on Air Quality in Sydney Region, Australia

In early 2020 from April to early June, the metropolitan area of Sydney as well as the rest of New South Wales (NSW, Australia) experienced a period of lockdown to prevent the spread of COVID-19 virus in the community. The effect of reducing anthropogenic activities including transportation had an i...

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Autores principales: Duc, Hiep, Salter, David, Azzi, Merched, Jiang, Ningbo, Warren, Loredana, Watt, Sean, Riley, Matthew, White, Stephen, Trieu, Toan, Tzu-Chi Chang, Lisa, Barthelemy, Xavier, Fuchs, David, Nguyen, Huynh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8036299/
https://www.ncbi.nlm.nih.gov/pubmed/33805343
http://dx.doi.org/10.3390/ijerph18073528
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author Duc, Hiep
Salter, David
Azzi, Merched
Jiang, Ningbo
Warren, Loredana
Watt, Sean
Riley, Matthew
White, Stephen
Trieu, Toan
Tzu-Chi Chang, Lisa
Barthelemy, Xavier
Fuchs, David
Nguyen, Huynh
author_facet Duc, Hiep
Salter, David
Azzi, Merched
Jiang, Ningbo
Warren, Loredana
Watt, Sean
Riley, Matthew
White, Stephen
Trieu, Toan
Tzu-Chi Chang, Lisa
Barthelemy, Xavier
Fuchs, David
Nguyen, Huynh
author_sort Duc, Hiep
collection PubMed
description In early 2020 from April to early June, the metropolitan area of Sydney as well as the rest of New South Wales (NSW, Australia) experienced a period of lockdown to prevent the spread of COVID-19 virus in the community. The effect of reducing anthropogenic activities including transportation had an impact on the urban environment in terms of air quality which is shown to have improved for a number of pollutants, such as Nitrogen Dioxides (NO(2)) and Carbon Monoxide (CO), based on monitoring data on the ground and from a satellite. In addition to primary pollutants CO and NO(x) emitted from mobile sources, PM(2.5) (primary and secondary) and secondary Ozone (O(3)) during the lockdown period will also be analyzed using both statistical methods on air quality data and the modelling method with emission and meteorological data input to an air quality model. By estimating the decrease in traffic volume in the Sydney region, the corresponding decrease in emission input to the Weather Research and Forecasting—Community Multiscale Air Quality Modelling System (WRF-CMAQ) air quality model is then used to estimate the effect of lockdown on the air quality especially CO, NO(2), O(3), and PM(2.5) in the Greater Metropolitan Region (GMR) of Sydney. The results from both statistical and modelling methods show that NO(2), CO, and PM(2.5) levels decreased during the lockdown, but O(3) instead increased. However, the change in the concentration levels are small considering the large reduction of ~30% in traffic volume.
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spelling pubmed-80362992021-04-12 The Effect of Lockdown Period during the COVID-19 Pandemic on Air Quality in Sydney Region, Australia Duc, Hiep Salter, David Azzi, Merched Jiang, Ningbo Warren, Loredana Watt, Sean Riley, Matthew White, Stephen Trieu, Toan Tzu-Chi Chang, Lisa Barthelemy, Xavier Fuchs, David Nguyen, Huynh Int J Environ Res Public Health Article In early 2020 from April to early June, the metropolitan area of Sydney as well as the rest of New South Wales (NSW, Australia) experienced a period of lockdown to prevent the spread of COVID-19 virus in the community. The effect of reducing anthropogenic activities including transportation had an impact on the urban environment in terms of air quality which is shown to have improved for a number of pollutants, such as Nitrogen Dioxides (NO(2)) and Carbon Monoxide (CO), based on monitoring data on the ground and from a satellite. In addition to primary pollutants CO and NO(x) emitted from mobile sources, PM(2.5) (primary and secondary) and secondary Ozone (O(3)) during the lockdown period will also be analyzed using both statistical methods on air quality data and the modelling method with emission and meteorological data input to an air quality model. By estimating the decrease in traffic volume in the Sydney region, the corresponding decrease in emission input to the Weather Research and Forecasting—Community Multiscale Air Quality Modelling System (WRF-CMAQ) air quality model is then used to estimate the effect of lockdown on the air quality especially CO, NO(2), O(3), and PM(2.5) in the Greater Metropolitan Region (GMR) of Sydney. The results from both statistical and modelling methods show that NO(2), CO, and PM(2.5) levels decreased during the lockdown, but O(3) instead increased. However, the change in the concentration levels are small considering the large reduction of ~30% in traffic volume. MDPI 2021-03-29 /pmc/articles/PMC8036299/ /pubmed/33805343 http://dx.doi.org/10.3390/ijerph18073528 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ).
spellingShingle Article
Duc, Hiep
Salter, David
Azzi, Merched
Jiang, Ningbo
Warren, Loredana
Watt, Sean
Riley, Matthew
White, Stephen
Trieu, Toan
Tzu-Chi Chang, Lisa
Barthelemy, Xavier
Fuchs, David
Nguyen, Huynh
The Effect of Lockdown Period during the COVID-19 Pandemic on Air Quality in Sydney Region, Australia
title The Effect of Lockdown Period during the COVID-19 Pandemic on Air Quality in Sydney Region, Australia
title_full The Effect of Lockdown Period during the COVID-19 Pandemic on Air Quality in Sydney Region, Australia
title_fullStr The Effect of Lockdown Period during the COVID-19 Pandemic on Air Quality in Sydney Region, Australia
title_full_unstemmed The Effect of Lockdown Period during the COVID-19 Pandemic on Air Quality in Sydney Region, Australia
title_short The Effect of Lockdown Period during the COVID-19 Pandemic on Air Quality in Sydney Region, Australia
title_sort effect of lockdown period during the covid-19 pandemic on air quality in sydney region, australia
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8036299/
https://www.ncbi.nlm.nih.gov/pubmed/33805343
http://dx.doi.org/10.3390/ijerph18073528
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