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Impact of the COVID-19 pandemic on air pollution from jet engines at airports in central eastern China

Aircraft engine emissions (AEEs) generated during landing and takeoff (LTO) cycles are important air pollutant sources that directly impact the air quality at airports. Although the COVID-19 pandemic triggered an unprecedented collapse in the civil aviation industry, it also relieved some environmen...

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Autores principales: Bao, Danwen, Tian, Shijia, Kang, Di, Zhang, Ziqian, Zhu, Ting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9735065/
https://www.ncbi.nlm.nih.gov/pubmed/36531937
http://dx.doi.org/10.1007/s11869-022-01294-w
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author Bao, Danwen
Tian, Shijia
Kang, Di
Zhang, Ziqian
Zhu, Ting
author_facet Bao, Danwen
Tian, Shijia
Kang, Di
Zhang, Ziqian
Zhu, Ting
author_sort Bao, Danwen
collection PubMed
description Aircraft engine emissions (AEEs) generated during landing and takeoff (LTO) cycles are important air pollutant sources that directly impact the air quality at airports. Although the COVID-19 pandemic triggered an unprecedented collapse in the civil aviation industry, it also relieved some environmental pressure on airports. To quantify the impact of COVID-19 on AEEs, the amounts of three typical air pollutants (i.e., HC, CO, and NO(x)) from LTO cycles at airports in central eastern China were estimated before and after the pandemic. The study also explored the temporal variation and the spatial autocorrelation of both the emission quantity and the emission intensity, as well as their spatial associations with other socioeconomic factors. The results illustrated that the spatiotemporal distribution pattern of AEEs was significantly influenced by the policies implemented and the severity of COVID-19. The variations of AEEs at airports with similar characteristics and functional positions generally followed similar patterns. The results also showed that the studied air pollutants present positive spatial autocorrelation, and a positive spatial dependence was found between the AEEs and other external socioeconomic factors. Based on the findings, some possible policy directions for building a more sustainable and environment-friendly airport group in the post-pandemic era were proposed. This study provides practical guidance on continuous monitoring of the AEEs from LTO cycles and studying the impact of COVID-19 on the airport environment for other regions or countries.
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spelling pubmed-97350652022-12-12 Impact of the COVID-19 pandemic on air pollution from jet engines at airports in central eastern China Bao, Danwen Tian, Shijia Kang, Di Zhang, Ziqian Zhu, Ting Air Qual Atmos Health Article Aircraft engine emissions (AEEs) generated during landing and takeoff (LTO) cycles are important air pollutant sources that directly impact the air quality at airports. Although the COVID-19 pandemic triggered an unprecedented collapse in the civil aviation industry, it also relieved some environmental pressure on airports. To quantify the impact of COVID-19 on AEEs, the amounts of three typical air pollutants (i.e., HC, CO, and NO(x)) from LTO cycles at airports in central eastern China were estimated before and after the pandemic. The study also explored the temporal variation and the spatial autocorrelation of both the emission quantity and the emission intensity, as well as their spatial associations with other socioeconomic factors. The results illustrated that the spatiotemporal distribution pattern of AEEs was significantly influenced by the policies implemented and the severity of COVID-19. The variations of AEEs at airports with similar characteristics and functional positions generally followed similar patterns. The results also showed that the studied air pollutants present positive spatial autocorrelation, and a positive spatial dependence was found between the AEEs and other external socioeconomic factors. Based on the findings, some possible policy directions for building a more sustainable and environment-friendly airport group in the post-pandemic era were proposed. This study provides practical guidance on continuous monitoring of the AEEs from LTO cycles and studying the impact of COVID-19 on the airport environment for other regions or countries. Springer Netherlands 2022-12-05 2023 /pmc/articles/PMC9735065/ /pubmed/36531937 http://dx.doi.org/10.1007/s11869-022-01294-w Text en © The Author(s), under exclusive licence to Springer Nature B.V. 2022, Springer Nature or its licensor (e.g. a society or other partner) 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
Bao, Danwen
Tian, Shijia
Kang, Di
Zhang, Ziqian
Zhu, Ting
Impact of the COVID-19 pandemic on air pollution from jet engines at airports in central eastern China
title Impact of the COVID-19 pandemic on air pollution from jet engines at airports in central eastern China
title_full Impact of the COVID-19 pandemic on air pollution from jet engines at airports in central eastern China
title_fullStr Impact of the COVID-19 pandemic on air pollution from jet engines at airports in central eastern China
title_full_unstemmed Impact of the COVID-19 pandemic on air pollution from jet engines at airports in central eastern China
title_short Impact of the COVID-19 pandemic on air pollution from jet engines at airports in central eastern China
title_sort impact of the covid-19 pandemic on air pollution from jet engines at airports in central eastern china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9735065/
https://www.ncbi.nlm.nih.gov/pubmed/36531937
http://dx.doi.org/10.1007/s11869-022-01294-w
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