Cause analysis of PM2.5 pollution during the COVID-19 lockdown in Nanning, China

Abstract To analyse the cause of the atmospheric PM2.5 pollution that occurred during the COVID-19 lockdown in Nanning, Guangxi, China, a single particulate aerosol mass spectrometer, aethalometer, and particulate Lidar coupled with monitoring near-surface gaseous pollutants, meteorological conditio...

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Autores principales:	Zhaoyu Mo, Jiongli Huang, Zhiming Chen, Bin Zhou, Kaixian Zhu, Huilin Liu, Yijun Mu, Dabiao Zhang, Shanshan Wang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/24424428f9134e37928a32f0f9aec2a1
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spelling	oai:doaj.org-article:24424428f9134e37928a32f0f9aec2a12021-12-02T14:47:30ZCause analysis of PM2.5 pollution during the COVID-19 lockdown in Nanning, China10.1038/s41598-021-90617-52045-2322https://doaj.org/article/24424428f9134e37928a32f0f9aec2a12021-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-90617-5https://doaj.org/toc/2045-2322Abstract To analyse the cause of the atmospheric PM2.5 pollution that occurred during the COVID-19 lockdown in Nanning, Guangxi, China, a single particulate aerosol mass spectrometer, aethalometer, and particulate Lidar coupled with monitoring near-surface gaseous pollutants, meteorological conditions, remote fire spot sensing by satellite and backward trajectory models were utilized during 18–24 February 2020. Three haze stages were identified: the pre-pollution period (PPP), pollution accumulation period (PAP) and pollution dissipation period (PDP). The dominant source of PM2.5 in the PPP was biomass burning (BB) (40.4%), followed by secondary inorganic sources (28.1%) and motor vehicle exhaust (11.7%). The PAP was characterized by a large abundance of secondary inorganic sources, which contributed 56.1% of the total PM2.5 concentration, followed by BB (17.4%). The absorption Ångström exponent (2.2) in the PPP was higher than that in the other two periods. Analysis of fire spots monitored by remote satellite sensing indicated that open BB in regions around Nanning City could be one of the main factors. A planetary boundary layer-relative humidity-secondary particle matter-particulate matter positive feedback mechanism was employed to elucidate the atmospheric processes in this study. This study highlights the importance of understanding the role of BB, secondary inorganic sources and meteorology in air pollution formation and calls for policies for emission control strategies.Zhaoyu MoJiongli HuangZhiming ChenBin ZhouKaixian ZhuHuilin LiuYijun MuDabiao ZhangShanshan WangNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Zhaoyu Mo Jiongli Huang Zhiming Chen Bin Zhou Kaixian Zhu Huilin Liu Yijun Mu Dabiao Zhang Shanshan Wang Cause analysis of PM2.5 pollution during the COVID-19 lockdown in Nanning, China
description	Abstract To analyse the cause of the atmospheric PM2.5 pollution that occurred during the COVID-19 lockdown in Nanning, Guangxi, China, a single particulate aerosol mass spectrometer, aethalometer, and particulate Lidar coupled with monitoring near-surface gaseous pollutants, meteorological conditions, remote fire spot sensing by satellite and backward trajectory models were utilized during 18–24 February 2020. Three haze stages were identified: the pre-pollution period (PPP), pollution accumulation period (PAP) and pollution dissipation period (PDP). The dominant source of PM2.5 in the PPP was biomass burning (BB) (40.4%), followed by secondary inorganic sources (28.1%) and motor vehicle exhaust (11.7%). The PAP was characterized by a large abundance of secondary inorganic sources, which contributed 56.1% of the total PM2.5 concentration, followed by BB (17.4%). The absorption Ångström exponent (2.2) in the PPP was higher than that in the other two periods. Analysis of fire spots monitored by remote satellite sensing indicated that open BB in regions around Nanning City could be one of the main factors. A planetary boundary layer-relative humidity-secondary particle matter-particulate matter positive feedback mechanism was employed to elucidate the atmospheric processes in this study. This study highlights the importance of understanding the role of BB, secondary inorganic sources and meteorology in air pollution formation and calls for policies for emission control strategies.
format	article
author	Zhaoyu Mo Jiongli Huang Zhiming Chen Bin Zhou Kaixian Zhu Huilin Liu Yijun Mu Dabiao Zhang Shanshan Wang
author_facet	Zhaoyu Mo Jiongli Huang Zhiming Chen Bin Zhou Kaixian Zhu Huilin Liu Yijun Mu Dabiao Zhang Shanshan Wang
author_sort	Zhaoyu Mo
title	Cause analysis of PM2.5 pollution during the COVID-19 lockdown in Nanning, China
title_short	Cause analysis of PM2.5 pollution during the COVID-19 lockdown in Nanning, China
title_full	Cause analysis of PM2.5 pollution during the COVID-19 lockdown in Nanning, China
title_fullStr	Cause analysis of PM2.5 pollution during the COVID-19 lockdown in Nanning, China
title_full_unstemmed	Cause analysis of PM2.5 pollution during the COVID-19 lockdown in Nanning, China
title_sort	cause analysis of pm2.5 pollution during the covid-19 lockdown in nanning, china
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/24424428f9134e37928a32f0f9aec2a1
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Cause analysis of PM2.5 pollution during the COVID-19 lockdown in Nanning, China

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