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基于长链正构烷烃分布和同位素特征识别和量化混合溢油源。

Identification and quantification of mixed sources of oil spills based on distributions and isotope profiles of long-chain n-alkanes.

机构信息

State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, PR China.

出版信息

Mar Pollut Bull. 2009 Dec;58(12):1868-73. doi: 10.1016/j.marpolbul.2009.07.020. Epub 2009 Aug 13.

DOI:10.1016/j.marpolbul.2009.07.020
PMID:19682713
Abstract

Combined with quantitative determination of concentration and isotopic composition of petroleum hydrocarbons, weathering simulation experiments on artificially mixed oils and their two end-member oils are performed for identification and quantification of mixed sources. The >C(18)n-alkanes show no appreciable losses during a short-term weathering process. An approach based on distribution of long-chain n-alkanes (>C(18)) is suggested for estimating the contribution proportion of each source in mixed oils. Stable carbon isotope profile of individual n-alkanes is a powerful tool to differentiate sources of oil spills, but unavailable to accurately allocate each contribution due to a relatively large analytical error.

摘要

结合石油烃浓度和同位素组成的定量测定,对人工混合油及其两种端元油进行风化模拟实验,以识别和量化混合来源。在短期风化过程中,>C(18)正构烷烃没有明显损失。提出了一种基于长链正构烷烃(>C(18))分布的方法,用于估算混合油中每个源的贡献比例。单个正构烷烃的稳定碳同位素分布是区分溢油源的有力工具,但由于分析误差较大,无法准确分配每个贡献。

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