气候变化领域集成服务门户(CCPortal): Technical note: A new approach to discriminate different black carbon sources by utilising fullerene and metals in positive matrix factorisation analysis of high-resolution soot particle aerosol mass spectrometer data

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DOI	10.5194/acp-21-10763-2021
	Technical note: A new approach to discriminate different black carbon sources by utilising fullerene and metals in positive matrix factorisation analysis of high-resolution soot particle aerosol mass spectrometer data
	Bibi Z.; Coe H.; Brooks J.; Williams P.I.; Reyes-Villegas E.; Priestley M.; Percival C.J.; Allan J.D.
发表日期	2021
ISSN	1680-7316
起始页码	10763
结束页码	10777
卷号	21 期号:13
英文摘要	Atmospheric aerosol particles are known to have detrimental effects on human health and climate. Black carbon is an important constituent of atmospheric aerosol particulate matter (PM), emitted from incomplete combustion. Source apportionment of BC is very important, to evaluate the influence of different sources. The high-resolution soot particle aerosol mass spectrometer (HR-SP-AMS) instrument uses a laser vaporiser, which allows the real-time detection and characterisation of refractory black carbon (rBC) and its internally mixed particles such as metals, coating species, and rBC subcomponents in the form of HOAĝ€¯+ĝ€¯fullerene. In this case study, the soot data were collected by using HR-SP-AMS during Guy Fawkes Night on 5 November 2014. Positive matrix factorisation was applied to positively discriminate between different wood-burning and bonfire sources for the first time, which no existing black carbon source apportionment technique is currently able to do. Along with this, the use of the fullerene signals in differentiating between soot sources and the use of metals as a tracer for fireworks has also been investigated, which did not significantly contribute to the rBC concentrations. The addition of fullerene signals and successful positive matrix factorisation (PMF) application to HR-SP-AMS data apportioned rBC into more than two sources. These bonfire sources are HOAĝ€¯+ĝ€¯fullerene, biomass burning organic aerosol, more oxidised oxygenated organic aerosol (MO-OOA), and non-bonfire sources such as hydrocarbon-like OA and domestic burning. The result of correlation analysis between HR-SP-AMS data and previously published Aethalometer, MAAP, and CIMS data provides an effective way of gaining insights into the relationships between the variables and provide a quantitative estimate of the source contributions to the BC budget during this period. This research study is an important demonstration of using HR-SP-AMS for the purpose of BC source apportionment. © 2021 Zainab Bibi et al.
语种	英语
scopus关键词	air quality; atmospheric pollution; biomass burning; black carbon; chemical composition; health risk; particulate matter; public health; spatial resolution
来源期刊	ATMOSPHERIC CHEMISTRY AND PHYSICS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/246727
作者单位	Department of Earth and Environment Science, The University of Manchester, Manchester, M13 9PL, United Kingdom; National Centre for Atmospheric Science, The University of Manchester, Manchester, M13 9PL, United Kingdom; Department of Chemistry and Molecular Biology, University of Gothenburg, Gothenburg, 40530, Sweden; Jet Propulsion Laboratory, 4800 Oak Grove Drive, Pasadena, CA 91109, United States
推荐引用方式 GB/T 7714	Bibi Z.,Coe H.,Brooks J.,et al. Technical note: A new approach to discriminate different black carbon sources by utilising fullerene and metals in positive matrix factorisation analysis of high-resolution soot particle aerosol mass spectrometer data[J],2021,21(13).
APA	Bibi Z..,Coe H..,Brooks J..,Williams P.I..,Reyes-Villegas E..,...&Allan J.D..(2021).Technical note: A new approach to discriminate different black carbon sources by utilising fullerene and metals in positive matrix factorisation analysis of high-resolution soot particle aerosol mass spectrometer data.ATMOSPHERIC CHEMISTRY AND PHYSICS,21(13).
MLA	Bibi Z.,et al."Technical note: A new approach to discriminate different black carbon sources by utilising fullerene and metals in positive matrix factorisation analysis of high-resolution soot particle aerosol mass spectrometer data".ATMOSPHERIC CHEMISTRY AND PHYSICS 21.13(2021).