Application of PARAFAC Method in Petroleum Pollutant Measurement and Identification

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.