[Oil spill identification using partial surface fitting method based on concentration-synchronous-matrix-fluorescence spectra].

Oil spills occur every day worldwide. It is urgently required to develop a rapid, cost-effective, accurate, easy to use routinely fingerprinting technique which could offer decision-makers and model developers the preliminary information of spilled oils in a short period. In this paper, a species identification and concentration quantification technique using partial surface fitting method to concentration-synchronous-matrix-fluorescence (CSMF) spectra was introduced. In order to eliminate the errors due to concentration uncertainty, partial CSMF spectra in the small concentration range of the test oil spill samples were obtained, and for the oil spill candidate samples,the two-dimensional cubic convolution interpolation was used to make up the long interval of the concentration level. With the surface fitting of partial CSMF spectra of the test samples and the closely-related source crude oil samples were successfully discriminated, and the initial concentration of the test samples were also obtained. Cross validation results of the petroleum related sample set showed that the accuracy of the matching results was 92%. The parameters of this method were also discussed in detail. All results showed that this newly-developed method may become a more specifically applicable means in spilled oils identification.