气候变化领域集成服务门户(CCPortal): Indoor secondary organic aerosols: Towards an improved representation of their formation and composition in models

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DOI	10.1016/j.atmosenv.2020.117784
	Indoor secondary organic aerosols: Towards an improved representation of their formation and composition in models
	Kruza M.; McFiggans G.; Waring M.S.; Wells J.R.; Carslaw N.
发表日期	2020
ISSN	13522310
卷号	240
英文摘要	The formation of secondary organic aerosol (SOA) indoors is one of the many consequences of the rich and complex chemistry that occurs therein. Given particulate matter has well documented health effects, we need to understand the mechanism for SOA formation indoors and its resulting composition. This study evaluates some uncertainties that exist in quantifying gas-to-particle partitioning of SOA-forming compounds using an indoor detailed chemical model. In particular, we investigate the impacts of using different methods to estimate compound vapour pressures as well as simulating the formation of highly oxygenated organic molecules (HOM) via auto-oxidation on SOA formation indoors. Estimation of vapour pressures for 136 α-pinene oxidation species by six investigated methods led to standard deviations of 28–216%. Inclusion of HOM formation improved model performance across three of the six assessed vapour pressure estimation methods when comparing against experimental data, particularly when the NO2 concentration was relatively high. We also explored the predicted SOA composition using two product classification methods, the first assuming the molecule is dominated by one functionality according to its name, and the second accounting for the fractional weighting of each functional group within a molecule. The SOA composition was dominated by the HOM species when the NO2-to-α-terpineol ratio was high for both product classification methods, as these conditions promoted formation of the nitrate radical and hence formation of HOM monomers. As the NO2-to-α-terpineol ratio decreased, peroxides and acids dominated the simple classification, whereas for the fractional classification, carbonyl and alcohol groups became more important. © 2020 Elsevier Ltd
英文关键词	Highly oxygenated organic molecules; Indoor air chemistry; Secondary organic aerosol; Vapour pressure; Volatile organic compound
语种	英语
scopus关键词	Aerosols; Molecules; Monoterpenes; Nitrogen oxides; Vapor pressure; Complex chemistry; Gas-to-particle partitioning; Organic molecules; Particulate Matter; Product classification method; Secondary organic aerosols; Standard deviation; Vapour pressure estimations; Fiber optics; acid; alcohol; carbonyl derivative; functional group; monomer; nitrate; nitrogen dioxide; peroxide; pinene; terpineol; aerosol; alcohol; functional group; nitrogen dioxide; organic compound; oxidation; oxygenation; particulate matter; uncertainty analysis; vapor pressure; ambient air; Article; chemical composition; chemical model; concentration (parameter); gas; molecular weight; oxidation; particulate matter; priority journal; secondary organic aerosol; vapor pressure
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/144976
作者单位	Department of Environment and Geography, University of York, Wentworth Way, York, YO10 5NG, United Kingdom; School of Earth and Environmental Sciences, University of Manchester, Manchester, United Kingdom; Department of Civil, Architectural and Environmental Engineering, Drexel University, Philadelphia, PA, United States; National Institute for Occupational Safety and Health, MorgantownWV, United States
推荐引用方式 GB/T 7714	Kruza M.,McFiggans G.,Waring M.S.,et al. Indoor secondary organic aerosols: Towards an improved representation of their formation and composition in models[J],2020,240.
APA	Kruza M.,McFiggans G.,Waring M.S.,Wells J.R.,&Carslaw N..(2020).Indoor secondary organic aerosols: Towards an improved representation of their formation and composition in models.Atmospheric Environment,240.
MLA	Kruza M.,et al."Indoor secondary organic aerosols: Towards an improved representation of their formation and composition in models".Atmospheric Environment 240(2020).