Abstract
Biodegradation, one of the most important weathering processes, alters the composition of spilled oil, making it difficult to identify the source of the release and to monitor its fate in the environment. A laboratory experiment was conducted to simulate oil spill weathering process of microbial degradation to investigate compositional changes in a range of source- and weathering-dependent molecular parameters in oil residues, and the conventional diagnostic ratios for oil spill identification were also evaluated. The conventional diagnostic ratios of n-alkane displayed obvious changes after biodegradation, especially for Pr/n-C17 and Ph/n-C18 with relative standard deviation more than 118.84 %, which suggests they are invalid for oil source identification of the middle-serious spill. Many polycyclic aromatic hydrocarbons (PAHs) are more resistant to biodegradation process than their saturated hydrocarbon counterparts, thus making PAHs to be one of the most valuable fingerprinting classes of hydrocarbons for oil identification. Biomarker ratios of hopanes and steranes were also useful for source identification even after moderate biodegradation, and the diagnostic ratios from them could be used in tracking origin and sources of hydrocarbon pollution. Finally, the carbon isotopic type curve may provide another diagnostic means for correlation and differentiation of spilled oils, and be particularly valuable for lighter refined products or severely biodegraded oils, the source of which may be difficult to identify by routine biomarker techniques.
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Acknowledgments
This work was financially supported by Key Projects in the Yantai Science and Technology Pillar Program (2011060) and National Natural Science Foundation of China (Grant No. 40806048, 41171424). The authors also extend great appreciation to the constructive comments from anonymous reviewers and editor-in-chief.
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Wang, C., Gao, X., Sun, Z. et al. Evaluation of the diagnostic ratios for the identification of spilled oils after biodegradation. Environ Earth Sci 68, 917–926 (2013). https://doi.org/10.1007/s12665-012-1792-y
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DOI: https://doi.org/10.1007/s12665-012-1792-y