实验室实验被进行模仿捱过过程的油,媒介到为 210-d 的长期的捱过的过程,用从五个不同的油资源收集的样品。关于这些样品的索引基于相对偏差和重覆性限制分析,在那里的结果表演在这个过程期间是在在不同的油的起始、捱过的样品之中的诊断比率的重要变化。所有油样品的诊断比率比 terpanes 的诊断比率更显然显示了的选择 n 链烷的变化, steranes 并且在这个过程哼。terpanes 的几乎所有选择诊断比率, steranes 并且哼能高效地在追踪烃污染的来源被使用,把诊断比率区分开来与 n 链烷。在这些有效诊断比率,仅仅四比率坚持说在捱过的好稳定性处理并且因为他们的相对偏差(RSD ) 比 5% 低,是更合适的。
Laboratory experiments were conducted to simulate oil weathering process, a medium to long term weathering process for 210-d, using samples collected from five different oil resources. Based on relative deviation and repeatability limit analysis about indexes of these samples, the results show there had been significant changes in diagnostic ratios among the initial and weathered samples of different oils during this process. Changes of selected n-alkane diagnostic ratios of all oil samples displayed more obviously than diagnostic ratios of terpanes,steranes and PAHs in this process. Almost all selected diagnostic ratios of terpanes, steranes and PAHs can be efficiently used in tracking sources of hydrocarbon pollution, differentiating from the n-alkane diagnostic ratios.In these efficient diagnostic ratios, only four ratios maintained good stability in the weathering processes and are more suitable because their relative deviation(RSD) are lower than 5%.