HUANG Yi, QI Chao-yue, LI Jia, GONG Wei-min, ZHANG Ting-ting, WANG Si-tong, LIU Xiao-xing. Identification of marine oil spills by fisher discriminant based on the diagnostic ratios[J]. Chinese Journal of MARINE ENVIRONMENTAL SCIENCE, 2018, 37(2): 299-303. DOI: 10.12111/j.cnki.mes20180222
Citation: HUANG Yi, QI Chao-yue, LI Jia, GONG Wei-min, ZHANG Ting-ting, WANG Si-tong, LIU Xiao-xing. Identification of marine oil spills by fisher discriminant based on the diagnostic ratios[J]. Chinese Journal of MARINE ENVIRONMENTAL SCIENCE, 2018, 37(2): 299-303. DOI: 10.12111/j.cnki.mes20180222

Identification of marine oil spills by fisher discriminant based on the diagnostic ratios

  • The characteristic of n-alkane distributions of 8 kinds of marine fuel, 8 kinds of Middle East crude oil and 13 kinds of non-Middle East crude oil were analyzed by GC-FID.The diagnostic ratios with the geochemical significance and the strong anti-weathering such as n-C17/Pr, n-C18/Ph, Pr/Ph, LMW/HMW, CPI and (n-C19+n-C20)/(n-C19~n-C22) were used as modeling parameters, Fisher discriminant of these 29 kinds of oils were performed.Since n-C17/Pr and n-C18/Ph were collinear and n-C17/Pr of marine fuel had obviously changes during weathering, n-C17/Pr cannot be used as a modeling parameter.The Wilks's lambda distribution of modeling corresponded to P value of 0, which indicated the discriminant model was valid, and the identification accuracy of model was 93.1%.The identification accuracy of oils after short-term weathering for 30 days could also reach 93.1%, this meant that the established model was also applicable to identification of weathered oil spills.
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