The application of Raman spectroscopy combined with multivariable analysis on source apportionment of atmospheric black carbon aerosols

被引：42
作者：
Feng, Yiqing [1 ,2 ]
Liu, Lei [3 ,4 ]
Yang, Yang [1 ]
Deng, Yue [1 ]
Li, Kejian [1 ]
Cheng, Hanyun [1 ]
Dong, Xu [1 ]
Li, Weijun [3 ]
Zhang, Liwu [1 ,2 ]
机构：
[1] Fudan Univ, Dept Environm Sci & Engn, Shanghai Key Lab Atmospher Particle Pollut & Prev, Shanghai 200433, Peoples R China
[2] Shanghai Inst Pollut Control & Ecol Secur, Shanghai 200092, Peoples R China
[3] Zhejiang Univ, Sch Earth Sci, Dept Atmospher Sci, Hangzhou 310027, Zhejiang, Peoples R China
[4] Shandong Univ, Environm Res Inst, Qingdao 266237, Shandong, Peoples R China
来源：
SCIENCE OF THE TOTAL ENVIRONMENT | 2019年 / 685卷
基金：
中国国家自然科学基金; 上海市自然科学基金; 中国博士后科学基金;
关键词：
Black carbon aerosols; Stepwise discriminant analysis; Raman; Source apportionment; ELEMENTAL CARBON; MICROSPECTROSCOPIC ANALYSIS; SPECTRAL-ANALYSIS; MIXING STATE; FOSSIL-FUEL; PARTICLES; SOOT; EXPOSURE; ABSORPTION; BIOMASS;
D O I：
10.1016/j.scitotenv.2019.05.367
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
Source apportionment studies become increasingly crucial for black carbon (BC) in atmospheric particulate matters given its linkage with adverse public health and climate impacts. In this work, a facile and rapid method using Raman spectra combined with stepwise discriminant analysis (SDA) was proposed to identify and quantify the contributions of atmospheric BC sources. Four BC samples from biomass burning, coal combustion, gasoline and diesel vehicle emission were characterized by Raman spectra. The SDA model was established based on 10 parameters with significant differences (p < 0.05), giving an accuracy of 83% with a cross-validation rate of 80%. Utilizing four suggested discriminant variables from SDA model, vehicle emission was predicted as the dominant contributor to ambient BC particles, among which gasoline contributed much higher than diesel at an urban road intersection in Shanghai, China. This new method shows great potential to classify and investigate the sources of atmospheric BC aerosols and provide more effective information on air pollution control measures. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页码：189 / 196
页数：8
相关论文
共 44 条
[1]   Lake-sediment record of PAH, mercury, and fly-ash particle deposition near coal-fired power plants in Central Alberta, Canada [J].
Barst, Benjamin D. ;
Ahad, Jason M. E. ;
Rose, Neil L. ;
Jautzy, Josue J. ;
Drevnick, Paul E. ;
Gammon, Paul R. ;
Sanei, Hamed ;
Savard, Martine M. .
ENVIRONMENTAL POLLUTION, 2017, 231 :644-653
[2]   On the characterization of disordered and heterogeneous carbonaceous materials by Raman spectroscopy [J].
Beyssac, O ;
Goffé, B ;
Petitet, JP ;
Froigneux, E ;
Moreau, M ;
Rouzaud, JN .
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2003, 59 (10) :2267-2276
[3]   Spatial, temporal and source study of black carbon in the atmospheric aerosols over different altitude regions in Southern India [J].
Bhaskar, B. Vijay ;
Rajeshkumar, R. M. ;
Muthuchelian, K. ;
Ramachandran, S. .
JOURNAL OF ATMOSPHERIC AND SOLAR-TERRESTRIAL PHYSICS, 2018, 179 :416-424
[4]   Observations of black carbon aerosols characteristics over an urban environment: Radiative forcing and related implications [J].
Bibi, Samina ;
Alam, Khan ;
Chishtie, Farrukh ;
Bibi, Humera ;
Rahman, Said .
SCIENCE OF THE TOTAL ENVIRONMENT, 2017, 603 :319-329
[5]   Bounding the role of black carbon in the climate system: A scientific assessment [J].
Bond, T. C. ;
Doherty, S. J. ;
Fahey, D. W. ;
Forster, P. M. ;
Berntsen, T. ;
DeAngelo, B. J. ;
Flanner, M. G. ;
Ghan, S. ;
Kaercher, B. ;
Koch, D. ;
Kinne, S. ;
Kondo, Y. ;
Quinn, P. K. ;
Sarofim, M. C. ;
Schultz, M. G. ;
Schulz, M. ;
Venkataraman, C. ;
Zhang, H. ;
Zhang, S. ;
Bellouin, N. ;
Guttikunda, S. K. ;
Hopke, P. K. ;
Jacobson, M. Z. ;
Kaiser, J. W. ;
Klimont, Z. ;
Lohmann, U. ;
Schwarz, J. P. ;
Shindell, D. ;
Storelvmo, T. ;
Warren, S. G. ;
Zender, C. S. .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2013, 118 (11) :5380-5552
[6]   Critical review of black carbon and elemental carbon source apportionment in Europe and the United States [J].
Briggs, Nicole L. ;
Long, Christopher M. .
ATMOSPHERIC ENVIRONMENT, 2016, 144 :409-427
[7]   General equation for the determination of the crystallite size La of nanographite by Raman spectroscopy [J].
Cançado, LG ;
Takai, K ;
Enoki, T ;
Endo, M ;
Kim, YA ;
Mizusaki, H ;
Jorio, A ;
Coelho, LN ;
Magalhaes-Paniago, R ;
Pimenta, MA .
APPLIED PHYSICS LETTERS, 2006, 88 (16)
[8]   PM2.5 source profiles for black and organic carbon emission inventories [J].
Chow, Judith C. ;
Watson, John G. ;
Lowenthal, Douglas H. ;
Chen, L. -W. Antony ;
Motallebi, Nehzat .
ATMOSPHERIC ENVIRONMENT, 2011, 45 (31) :5407-5414
[9]   Sources of nickel, vanadium and black carbon in aerosols in Milwaukee [J].
de Foy, Benjamin ;
Smyth, Alison M. ;
Thompson, Samantha L. ;
Gross, Deborah S. ;
Olson, Michael R. ;
Sager, Nicholas ;
Schauer, James J. .
ATMOSPHERIC ENVIRONMENT, 2012, 59 :294-301
[10]   Efficacy of Raman mapping over ellipsometric spectroscopy and XRD for characterization of structurally heterogeneous PLD nc-Si thin films [J].
Dey, Partha P. ;
Kesarwani, Rahul ;
Khare, Alika .
OPTICAL MATERIALS, 2018, 84 :221-226
12345