Source Identification of Oil Spills Using Compound-Specific Carbon Isotope Analysis Based on “7–16” Oil Spill in Dalian, China

Min Wang , Chuanyuan Wang , Shiji He
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引用次数: 5

Abstract

A set of sequentially weathered oils residue in sediments collected from Dalian Bay in different time after “7-16” oil spill accident, were analyzed by Gas chromatography–mass spectrometry (GC-MS) and Gas chromatography–isotope ratio mass spectrometry (GC-IRMS) to analyze the weathering process and evaluated the possibilities of GC-IRMS as a correlation tool in oil spill identification. Although some temporal variation was observed, no significant temporal shifts in the δ13C values for n-alkanes were measured in moderated weathered oils. The standard deviations of δ13C values of individual n-alkanes varied from 0.07% to 0.20%, which showed that the weathering has no significant effect on values of individual n-alkanes over 120 days. The results suggest that stable carbon isotope profile of n-alkanes can be a useful tool for tracing the source of an oil spill, particularly for the weathered oils absence of sterane and terpane biomarkers.

基于复合碳同位素分析的大连“7-16”溢油源识别
采用气相色谱-质谱(GC-MS)和气相色谱-同位素比质谱(GC-IRMS)分析了“7-16”溢油事故发生后不同时间采集的大连湾沉积物中顺序风化的油渣,分析了风化过程,并评价了气相色谱-同位素比质谱(GC-IRMS)作为溢油鉴定相关工具的可能性。在缓化风化油中,正构烷烃的δ13C值虽然有一定的时间变化,但没有明显的时间变化。单个正构烷烃δ13C值的标准差在0.07% ~ 0.20%之间,说明120 d内风化作用对单个正构烷烃δ13C值的影响不显著。结果表明,正构烷烃的稳定碳同位素剖面可以作为追踪溢油来源的有用工具,特别是对于缺乏甾烷和萜烷生物标志物的风化油。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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