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Airborne black carbon variations during the COVID-19 lockdown in the Yangtze River Delta megacities suggest actions to curb global warming

Airborne black carbon is a strong warming component of the atmosphere. Therefore, curbing black carbon emissions should slow down global warming. The 2019 coronavirus pandemic (COVID-19) is a unique opportunity for studying the response of black carbon to the varied human activities, in particular d...

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Autores principales: Li, Hao, Huang, Kan, Fu, Qingyan, Lin, Yanfen, Chen, Jia, Deng, Congrui, Tian, Xudong, Tang, Qian, Song, Qingchuan, Wei, Zhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8454011/
https://www.ncbi.nlm.nih.gov/pubmed/34566549
http://dx.doi.org/10.1007/s10311-021-01327-3
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author Li, Hao
Huang, Kan
Fu, Qingyan
Lin, Yanfen
Chen, Jia
Deng, Congrui
Tian, Xudong
Tang, Qian
Song, Qingchuan
Wei, Zhen
author_facet Li, Hao
Huang, Kan
Fu, Qingyan
Lin, Yanfen
Chen, Jia
Deng, Congrui
Tian, Xudong
Tang, Qian
Song, Qingchuan
Wei, Zhen
author_sort Li, Hao
collection PubMed
description Airborne black carbon is a strong warming component of the atmosphere. Therefore, curbing black carbon emissions should slow down global warming. The 2019 coronavirus pandemic (COVID-19) is a unique opportunity for studying the response of black carbon to the varied human activities, in particular due to lockdown policies. Actually, there is few knowledge on the variations of black carbon in China during lockdowns. Here, we studied the concentrations of particulate matter (PM(2.5)) and black carbon before, during, and after the lockdown in nine sites of the Yangtze River Delta in Eastern China. Results show 40–60% reduction of PM(2.5) and 40–50% reduction of black carbon during the lockdown. The classical bimodal peaks of black carbon in the morning and evening rush hours were highly weakened, indicating the substantial decrease of traffic activities. Contributions from fossil fuels combustion to black carbon decreased about 5–10% during the lockdown. Spatial correlation analysis indicated the clustering of the multi-site black carbon concentrations in the Yangtze River Delta during the lockdown. Overall, control of emissions from traffic and industrial activities should be efficient to curb black carbon levels in the frame of a ‘green public transit system’ for mega-city clusters such as the Yangtze River Delta. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10311-021-01327-3.
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spelling pubmed-84540112021-09-21 Airborne black carbon variations during the COVID-19 lockdown in the Yangtze River Delta megacities suggest actions to curb global warming Li, Hao Huang, Kan Fu, Qingyan Lin, Yanfen Chen, Jia Deng, Congrui Tian, Xudong Tang, Qian Song, Qingchuan Wei, Zhen Environ Chem Lett Original Paper Airborne black carbon is a strong warming component of the atmosphere. Therefore, curbing black carbon emissions should slow down global warming. The 2019 coronavirus pandemic (COVID-19) is a unique opportunity for studying the response of black carbon to the varied human activities, in particular due to lockdown policies. Actually, there is few knowledge on the variations of black carbon in China during lockdowns. Here, we studied the concentrations of particulate matter (PM(2.5)) and black carbon before, during, and after the lockdown in nine sites of the Yangtze River Delta in Eastern China. Results show 40–60% reduction of PM(2.5) and 40–50% reduction of black carbon during the lockdown. The classical bimodal peaks of black carbon in the morning and evening rush hours were highly weakened, indicating the substantial decrease of traffic activities. Contributions from fossil fuels combustion to black carbon decreased about 5–10% during the lockdown. Spatial correlation analysis indicated the clustering of the multi-site black carbon concentrations in the Yangtze River Delta during the lockdown. Overall, control of emissions from traffic and industrial activities should be efficient to curb black carbon levels in the frame of a ‘green public transit system’ for mega-city clusters such as the Yangtze River Delta. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10311-021-01327-3. Springer International Publishing 2021-09-21 2022 /pmc/articles/PMC8454011/ /pubmed/34566549 http://dx.doi.org/10.1007/s10311-021-01327-3 Text en © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2021 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 Original Paper
Li, Hao
Huang, Kan
Fu, Qingyan
Lin, Yanfen
Chen, Jia
Deng, Congrui
Tian, Xudong
Tang, Qian
Song, Qingchuan
Wei, Zhen
Airborne black carbon variations during the COVID-19 lockdown in the Yangtze River Delta megacities suggest actions to curb global warming
title Airborne black carbon variations during the COVID-19 lockdown in the Yangtze River Delta megacities suggest actions to curb global warming
title_full Airborne black carbon variations during the COVID-19 lockdown in the Yangtze River Delta megacities suggest actions to curb global warming
title_fullStr Airborne black carbon variations during the COVID-19 lockdown in the Yangtze River Delta megacities suggest actions to curb global warming
title_full_unstemmed Airborne black carbon variations during the COVID-19 lockdown in the Yangtze River Delta megacities suggest actions to curb global warming
title_short Airborne black carbon variations during the COVID-19 lockdown in the Yangtze River Delta megacities suggest actions to curb global warming
title_sort airborne black carbon variations during the covid-19 lockdown in the yangtze river delta megacities suggest actions to curb global warming
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8454011/
https://www.ncbi.nlm.nih.gov/pubmed/34566549
http://dx.doi.org/10.1007/s10311-021-01327-3
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