气候变化领域集成服务门户(CCPortal): Application of parallel factor analysis model to decompose excitation-emission matrix fluorescence spectra for characterizing sources of water-soluble brown carbon in PM2.5

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DOI	10.1016/j.atmosenv.2019.117192
	Application of parallel factor analysis model to decompose excitation-emission matrix fluorescence spectra for characterizing sources of water-soluble brown carbon in PM2.5
	Wang H.; Zhang L.; Huo T.; Wang B.; Yang F.; Chen Y.; Tian M.; Qiao B.; Peng C.
发表日期	2020
ISSN	1352-2310
卷号	223
英文摘要	The applicability of parallel factor analysis (PARAFAC) model for identifying potential sources of water-soluble brown carbon (BrC) in fine particulate matter (PM2.5) using seasonal and annual excitation-emission matrix (EEM) fluorescence spectra data was investigated. The uncertainties related to the application of PARAFAC model to water-soluble BrC analysis were evaluated and the physicochemical meanings of PARAFAC-derived components were clearly interpreted. EEM spectra were obtained from water-soluble extractions of PM2.5 samples, which were collected at an urban and a suburban site in Chongqing, southwest of China during four one-month periods, each representing a different season in 2015. The measured EEM spectra were decomposed into three individual fluorescence components using PARAFAC algorithm, and the potential sources of BrC were identified based on the fingerprinting characteristics of PARAFAC-derived components. Each of the individual component exhibited similar spectral profiles in different seasons except in summer at the urban site; however, the relative intensities between the components varied with season, suggesting seasonal dependent source intensity of BrC. The relative contributions of the individual fluorescence components to the total fluorescence intensity varied largely from 0 to 89.2% at different excitation and emission wavelengths. Therefore, the relative abundance of each individual component based on the maximum fluorescence intensity (Fmax) should be used carefully for source apportionment analysis of BrC. © 2019 Elsevier Ltd
关键词	Excitation-emission matrix fluorescence spectroscopy PARAFAC model PM2.5 Water-soluble brown carbon
语种	英语
scopus关键词	Bromine compounds; Carbon; Fluorescence; Fluorescence spectroscopy; Multivariant analysis; Uncertainty analysis; Urban growth; Brown carbons; Excitation-emission matrix fluorescence spectroscopies; Excitation-emission matrix fluorescences; Fine particulate matter (PM2.5); Fluorescence intensities; PARAFAC; Parallel factor analysis; PM2.5; Factor analysis; carbon; brown carbon; factor analysis; particulate matter; physicochemical property; seasonal variation; source apportionment; spectroscopy; autumn; carbon source; China; decomposition; parallel factor analysis; particulate matter; priority journal; spectrofluorometry; spring; summer; urban area; winter; China; Chongqing
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/249418
作者单位	School of Environment and Resource, Southwest University of Science and Technology, Mianyang, 621010, China; Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China; Air Quality Research Division, Science and Technology Branch, Environment and Climate Change Canada, Toronto, M3H 5T4, Canada; National Engineering Research Center for Flue Gas Desulfurization, Department of Environmental Science and Engineering, Sichuan University, Chengdu, 610065, China
推荐引用方式 GB/T 7714	Wang H.,Zhang L.,Huo T.,et al. Application of parallel factor analysis model to decompose excitation-emission matrix fluorescence spectra for characterizing sources of water-soluble brown carbon in PM2.5[J],2020,223.
APA	Wang H..,Zhang L..,Huo T..,Wang B..,Yang F..,...&Peng C..(2020).Application of parallel factor analysis model to decompose excitation-emission matrix fluorescence spectra for characterizing sources of water-soluble brown carbon in PM2.5.ATMOSPHERIC ENVIRONMENT,223.
MLA	Wang H.,et al."Application of parallel factor analysis model to decompose excitation-emission matrix fluorescence spectra for characterizing sources of water-soluble brown carbon in PM2.5".ATMOSPHERIC ENVIRONMENT 223(2020).