中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Mass spectral characterization of secondary organic aerosol from urban cooking and vehicular sources

文献类型:期刊论文

作者Zhu, Wenfei2; Guo, Song2,3; Zhang, Zirui2; Wang, Hui2; Yu, Ying2; Chen, Zheng2; Shen, Ruizhe2; Tan, Rui2; Song, Kai2; Liu, Kefan2
刊名ATMOSPHERIC CHEMISTRY AND PHYSICS
出版日期2021-10-11
卷号21期号:19页码:15065-15079
ISSN号1680-7316
DOI10.5194/acp-21-15065-2021
英文摘要In the present work, we conducted experiments of secondary organic aerosol (SOA) formation from urban cooking and vehicular sources to characterize the mass spectral features of primary organic aerosol (POA) and SOA using an high-resolution time-of-flight aerosol mass spectrometer (HR-ToF-AMS). Our results showed that the cooking styles have a greater impact on aged COA (cooking organic aerosol) mass spectra than oxidation conditions. However, the oxidation conditions affect the aged HOA (hydrocarbon-like OA) spectra more significantly than vehicle operating conditions. In our study, we use mass spectra similarity analysis and positive matrix factorization (PMF) analysis to establish the POA and SOA mass spectra of these two sources. These mass spectra are used as source constraints in a multilinear engine (ME-2) model to apportion the OA (organic aerosol) sources in the atmosphere. Compared with the traditional ambient PMF results, the improved ME-2 model can better quantify the contribution of POA and SOA from cooking and vehicular sources. Our work, for the first time, establishes the vehicle and cooking SOA source profiles, and can be further used in the OA source apportionment in the ambient atmosphere.
WOS关键词YANGTZE-RIVER DELTA ; SOURCE APPORTIONMENT ; SUBMICRON AEROSOLS ; CHEMICAL-COMPOSITION ; MULTILINEAR ENGINE ; VOLATILITY DISTRIBUTION ; ISOPRENE-EPOXYDIOLS ; INORGANIC AEROSOLS ; EMISSIONS ; CHINA
资助项目National Natural Science Foundation of China[51636003] ; National Natural Science Foundation of China[41977179] ; National Natural Science Foundation of China[91844301] ; Beijing Municipal Science and Technology Commission[Z201100008220011] ; Beijing Municipal Natural Science Foundation[8192022] ; China Postdoctoral Science Foundation[2020M680242] ; State Key Laboratory of Multi-phase Complex Systems[MPCS-2019-D-09]
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
语种英语
出版者COPERNICUS GESELLSCHAFT MBH
WOS记录号WOS:000706266400001
资助机构National Natural Science Foundation of China ; Beijing Municipal Science and Technology Commission ; Beijing Municipal Natural Science Foundation ; China Postdoctoral Science Foundation ; State Key Laboratory of Multi-phase Complex Systems
源URL[http://ir.ipe.ac.cn/handle/122111/50620]  
专题中国科学院过程工程研究所
通讯作者Guo, Song
作者单位1.Chinese Acad Sci, Inst Proc Engn, State Key Lab Multiphase Complex Syst, Beijing 100190, Peoples R China
2.Peking Univ, Coll Environm Sci & Engn, State Key Joint Lab Environm Simulat & Pollut Con, Int Joint Lab Reg Pollut Control,Minist Educ IJRC, Beijing 100871, Peoples R China
3.Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Atmospher Environm & Equip, Nanjing 210044, Peoples R China
4.Shanghai Acad Environm Sci, State Environm Protect Key Lab Format Urban Air P, Shanghai 200233, Peoples R China
5.Tsinghua Univ, State Key Lab Automot Safety & Energy, Beijing 100084, Peoples R China
6.Paul Scherrer Inst PSI, Lab Atmospher Chem, CH-5232 Villigen, Switzerland
推荐引用方式
GB/T 7714
Zhu, Wenfei,Guo, Song,Zhang, Zirui,et al. Mass spectral characterization of secondary organic aerosol from urban cooking and vehicular sources[J]. ATMOSPHERIC CHEMISTRY AND PHYSICS,2021,21(19):15065-15079.
APA Zhu, Wenfei.,Guo, Song.,Zhang, Zirui.,Wang, Hui.,Yu, Ying.,...&Prevot, Andre S. H..(2021).Mass spectral characterization of secondary organic aerosol from urban cooking and vehicular sources.ATMOSPHERIC CHEMISTRY AND PHYSICS,21(19),15065-15079.
MLA Zhu, Wenfei,et al."Mass spectral characterization of secondary organic aerosol from urban cooking and vehicular sources".ATMOSPHERIC CHEMISTRY AND PHYSICS 21.19(2021):15065-15079.

入库方式: OAI收割

来源:过程工程研究所

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