Title :
Application of PARAFAC Method in Petroleum Pollutant Measurement and Identification
Author :
Zhao, Pan ; Yutian, Wang ; Xiaoqing, Shao
Author_Institution :
Key Lab. of Meas. Technol. & Instrum. of Hebei Province, Yanshan Univ., Qinhuangdao, China
Abstract :
The paper applies parallel factor analysis (PARAFAC) in petroleum pollutant measurement and identification. A series of 3-dimentional fluorescence spectrum are obtained by a FS920 fluorescence spectrometer, including the CCl4 solutions of a 97# gasoline sample and a 0# diesel oil sample, and the solutions which mixed by these two solutions in different proportions. The range of extraction wavelength is between 300nm to 400nm, and the range of emission wavelength is between 330nm to 500nm. The data of these 3-dimentional fluorescence spectra compose a 3-way data array. The paper overlooks the specific components of petroleum pollutant, and regards each of petroleum products as a whole, the PARAFAC could obtain satisfactory spectrum decomposition effect similarly, and the prediction of concentration of predicted set is satisfactory also.
Keywords :
air pollution; fluorescence spectroscopy; fuel processing; oil pollution; petroleum; 0# diesel oil sample; 3-dimentional fluorescence spectrum; 3-way data array; 97# gasoline sample; CCl4 solutions; FS920 fluorescence spectrometer; PARAFAC method; emission wavelength; extraction wavelength; parallel factor analysis; petroleum pollutant identification; petroleum pollutant measurement; spectrum decomposition effect; wavelength 300 nm to 500 nm; Chemicals; Fluorescence; Instruments; Matrix decomposition; Petroleum; Pollution measurement; Standards; Concentration; Fluorescence spectrum; PARAFAC; Petroleum pollutant;
Conference_Titel :
Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4673-1450-3
DOI :
10.1109/ICICEE.2012.454
