| Summary: | 碩士 === 國立聯合大學 === 環境與安全衛生工程學系碩士班 === 99 === Oil source tracking and identification related technologies are constantly being developed and applied since oil spill accidents occurred frequently that cause great impact on the environmental and ecological systems as well as the economy.
In this study, fresh crude oils from different regions and countries were analyzed and recognized by using chemical fingerprint chromatogram together with source-sensitive diagnostic ratios. Following the proposed oil spill identification flowchart with various appropriate biomarkers and source-specific ratios, it’s possible to identify characteristics of crude oils from unknown resources. Moreover, oil characteristics can be classified even more effectively by multivariate statistical approach such as principal component analysis (PCA), hierarchical cluster analysis (HCA), repeatability limit and student’s t-test to statistically evaluate the imperceptible differences between oils.
It was shown that our proposed flowchart of oil spill identification with appropriate biomarkers and diagnostic ratios along with the multivariate statistical analysis techniques were also applied effectively to identify different diesel types, oil-to-oil correlation, and oil source tracking.
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