Application of parallel factor analysis model to decompose excitation-emission matrix fluorescence spectra for characterizing sources of water-soluble brown carbon in PM2.5
文献类型：期刊论文
| 作者 | Wang, Huanbo1,2; Zhang, Leiming3; Huo, Tingting1; Wang, Bin1; Yang, Fumo4 ; Chen, Yang2; Tian, Mi2; Qiao, Baoqing2; Peng, Chao2
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| 刊名 | ATMOSPHERIC ENVIRONMENT
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| 出版日期 | 2020-02-15 |
| 卷号 | 223页码:10 |
| ISSN号 | 1352-2310 |
| 关键词 | Water-soluble brown carbon PM2.5 Excitation-emission matrix fluorescence spectroscopy PARAFAC model |
| DOI | 10.1016/j.atmosenv.2019.117192 |
| 通讯作者 | Yang, Fumo(fmyang@scu.edu.cn) |
| 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 (F-max) should be used carefully for source apportionment analysis of BrC. |
| 资助项目 | National Natural Science Foundation of China[41405027] ; National Natural Science Foundation of China[41831285] ; National Key R&D Program of China[2016YFCO200400] ; National Key R&D Program of China[2018YFCO214002] |
| WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| WOS记录号 | WOS:000517660200042 |
| 源URL | [http://119.78.100.138/handle/2HOD01W0/10632]  |
| 专题 | 中国科学院重庆绿色智能技术研究院 |
| 通讯作者 | Yang, Fumo |
| 作者单位 | 1.Southwest Univ Sci & Technol, Sch Environm & Resource, Mianyang 621010, Sichuan, Peoples R China 2.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China 3.Environm & Climate Change Canada, Sci & Technol Branch, Air Qual Res Div, Toronto, ON M3H 5T4, Canada 4.Sichuan Univ, Natl Engn Res Ctr Flue Gas Desulfurizat, Dept Environm Sci & Engn, Chengdu 610065, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Huanbo,Zhang, Leiming,Huo, Tingting,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]. ATMOSPHERIC ENVIRONMENT,2020,223:10. |
| APA | Wang, Huanbo.,Zhang, Leiming.,Huo, Tingting.,Wang, Bin.,Yang, Fumo.,...&Peng, Chao.(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,223,10. |
| MLA | Wang, Huanbo,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):10. |
入库方式： OAI收割
来源：重庆绿色智能技术研究院
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