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DOI10.1016/j.atmosenv.2021.118844
Particle composition, sources and evolution during the COVID-19 lockdown period in Chengdu, southwest China: Insights from single particle aerosol mass spectrometer data
Zhang J.; Li H.; Chen L.; Huang X.; Zhang W.; Zhao R.
发表日期2022
ISSN1352-2310
卷号268
英文摘要In order to investigate the effects of the Coronavirus Disease 2019 (COVID-19) lockdown on air quality in cities in southwest China, a single particle aerosol mass spectrometer (SPAMS) and other online equipments were used to measure the air pollution in Chengdu, one of the megacities in this area, before and during the lockdown period. It was found that the concentrations of fine particulate matter (PM2.5), nitric oxide (NO), nitrogen dioxide (NO2), sulfur dioxide (SO2) and carbon monoxide (CO) decreased by 38.6%, 77.5%, 47.0%, 35.1% and 14.1%, respectively, while the concentration of ozone (O3) increased by 57.5% from the time before to the time during lockdown. All particles collected during the study period could be divided into eight categories: biomass burning (BB), coal combustion (CC), vehicle emissions (VE), cooking emissions (CE), Dust, K-nitrate (K–NO3), K-sulfate (K–SO4) and K-sulfate-nitrate (K-SN) particles, and their contributions changed significantly after the beginning of lockdown. Compared to before lockdown, the contribution of VE particles experienced the largest reduction (by 14.9%), whereas the contributions of BB and CE particles increased by 7.0% and 7.3%, respectively, during the lockdown period. Regional transmission was critical for pollution formation before lockdown, whereas the pollution that occurred during the lockdown period was caused mainly by locally emitted particles (such as VE, CE and BB particles). Weighted potential source contribution function (WPSCF) analysis further verified and emphasized the difference in the contribution of regional transmission for pollution formation before and during lockdown. In addition, the potential source area and intensity of the particles emitted from different sources or formation mechanisms were quite different. © 2021 Elsevier Ltd
关键词COVID-19 lockdownPollution episodesSingle aerosol particlesWeighted potential source contribution function
语种英语
scopus关键词Aerosols; Air quality; Binary alloys; Carbon monoxide; Mass spectrometers; Nitrates; Nitric oxide; Nitrogen oxides; Sulfur dioxide; Aerosol particles; Biomass-burning; Chengdu; Coronavirus disease 2019 lockdown; Coronaviruses; Pollution episodes; Potential source contribution function; Single aerosol particle; Vehicle emission; Weighted potential source contribution function; Coronavirus; carbon monoxide; coal; cuprous ion; inorganic compound; iron; nitrate; nitric oxide; nitrogen dioxide; ozone; potassium nitrate; potassium sulfate; sulfate; sulfur dioxide; air quality; concentration (composition); COVID-19; megacity; particulate matter; pollutant source; spatiotemporal analysis; traffic emission; urban area; viral disease; aerosol transmission; air monitoring; air pollution; air pollution control; biomass production; carbon dynamics; chemical composition; chemical modification; combustion; cooking; coronavirus disease 2019; dust; environmental temperature; exhaust gas; fume; geographic mapping; lockdown; mass; mass spectrometry; nitrogen concentration; oxygen concentration; particulate matter 2.5; pollution monitoring; pollution transport; probability; reaction analysis; relative humidity; rural area; time factor; time series analysis; urban area; visibility; wind speed; Chengdu; China; Sichuan; Coronavirus
来源期刊ATMOSPHERIC ENVIRONMENT
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/248135
作者单位Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 611756, China; Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu, 610225, China; Sichuan Environmental Monitoring Center, Chengdu, 610074, China
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Zhang J.,Li H.,Chen L.,et al. Particle composition, sources and evolution during the COVID-19 lockdown period in Chengdu, southwest China: Insights from single particle aerosol mass spectrometer data[J],2022,268.
APA Zhang J.,Li H.,Chen L.,Huang X.,Zhang W.,&Zhao R..(2022).Particle composition, sources and evolution during the COVID-19 lockdown period in Chengdu, southwest China: Insights from single particle aerosol mass spectrometer data.ATMOSPHERIC ENVIRONMENT,268.
MLA Zhang J.,et al."Particle composition, sources and evolution during the COVID-19 lockdown period in Chengdu, southwest China: Insights from single particle aerosol mass spectrometer data".ATMOSPHERIC ENVIRONMENT 268(2022).
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