Digitization Identification Study of Mixed Oils Based on Alkane Fingerprints
WANG Qiaomin
MA Sha
YAN Zhiyu
SUN Bing
LIU Hui
Abstract：Dispersants and other oils mixed with original unknown oil spill should be taken into consideration for accurately tracing responsibility in oil spill identification.As a breakthrough point,digitization identification of mixed oil composed of 4 kinds of crude oil and 1 kind of dispersant is studied based on alkane fingerprints in this paper.Relative standard deviation method is used to select 9 stable diagnostic ratios before identification,and then the principal component analysis,clustering analysis and multidimensional scaling analysis are used to identify oil samples.The results indicate that the influence of dispersant on oil spill source has close relation with oil type.If the correlation between mixed oil and single oil is poor,oil source may soon be found,if good,oil source may be easily influenced by other unknown oil spill,leading to misjudgment.Identification results of all analysis methods obtained in this article are objective and accurate,these methods can be used in combination in the practical identification and supporting each other.
Keywords：alkane fingerprintsmixed oildispersantdigitization identification
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 83-88,119 )