气候变化领域集成服务门户(CCPortal): Data mining approaches to understanding the formation of secondary organic aerosol

CCPortal

DOI	10.1016/j.atmosenv.2021.118345
	Data mining approaches to understanding the formation of secondary organic aerosol
	Olson D.A.; Offenberg J.H.; Lewandowski M.; Kleindienst T.E.; Docherty K.S.; Jaoui M.; Krug J.; Riedel T.P.
发表日期	2021
ISSN	1352-2310
卷号	252
英文摘要	This research used data mining approaches to better understand factors affecting the formation of secondary organic aerosol (SOA). Although numerous laboratory and computational studies have been completed on SOA formation, it is still challenging to determine factors that most influence SOA formation. Experimental data were based on previous work described by Offenberg et al. (2017), where volume concentrations of SOA were measured in 139 laboratory experiments involving the oxidation of single hydrocarbons under different operating conditions. Three different data mining methods were used, including nearest neighbor, decision tree, and pattern mining. Both decision tree and pattern mining approaches identified similar chemical and experimental conditions that were important to SOA formation. Among these important factors included the number of methyl groups for the SOA precursor, the number of rings for the SOA precursor, and the presence of dinitrogen pentoxide (N2O5). © 2021
关键词	Chamber experiment Decision tree Nearest neighbor Pattern mining SOA formation
语种	英语
scopus关键词	Aerosols; Data mining; Chamber experiments; Computational studies; Laboratory studies; Nearest-neighbour; Organic aerosol; Organic aerosol formation; Pattern mining; Secondary organic aerosol formation; Tree mining; Volume concentration; Decision trees; dinitrogen pentoxide; hydrocarbon; methyl group; aerosol formation; concentration (composition); data mining; experimental study; factor analysis; laboratory method; Article; concentration (parameter); controlled study; data mining; decision tree; molecular weight; oxidation; precursor; priority journal; secondary organic aerosol
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/248504
作者单位	Office of Research and Development, United States Environmental Protection Agency, Research Triangle ParkNC 27711, United States; Jacobs Technology, Inc., Research Triangle ParkNC 27709, United States
推荐引用方式 GB/T 7714	Olson D.A.,Offenberg J.H.,Lewandowski M.,et al. Data mining approaches to understanding the formation of secondary organic aerosol[J],2021,252.
APA	Olson D.A..,Offenberg J.H..,Lewandowski M..,Kleindienst T.E..,Docherty K.S..,...&Riedel T.P..(2021).Data mining approaches to understanding the formation of secondary organic aerosol.ATMOSPHERIC ENVIRONMENT,252.
MLA	Olson D.A.,et al."Data mining approaches to understanding the formation of secondary organic aerosol".ATMOSPHERIC ENVIRONMENT 252(2021).