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机构地区:[1]中国海洋大学环境科学与工程学院,山东青岛266100
出 处:《海洋环境科学》2017年第4期609-614,共6页Marine Environmental Science
基 金:海洋公益性行业科研专项(201205012)
摘 要:本文采用GC-MS离子选择方法,分析了6种不同溢油样品的油指纹诊断比值参数,利用多维标度法鉴别了6种不同溢油样品,并与重复性限法进行了比对分析。结果表明:多维标度法可高效进行大量样品油指纹分析的同时鉴定,能直观的表现研究对象之间的关系,实现油样的分类鉴别;多维标度法与重复性限法相比,可简化两两样品之间对比繁琐的计算过程,避免不同油品多个诊断比值一致的情况下的误判,从而有效弥补、完善重复性限法和其他方法的一些不足,为海洋溢油事故指纹鉴定提供一些借鉴。In this paper, the GC-MS ion selection method was used to analyze the diagnosis ratio parameters of six different oil spill samples. Six kinds of oil spill samples were identified by multidimensional scaling method, and compared with the repeated limit method. Results show: Multidimensional sealing method can be used to effectively carry out a large number of samples of oil fingerprint analysis at the same time, it can directly show the relationship between the object of study, and realize the classification and identification of oil samples. Compared with the repeatability limit method, the method can simplify the tedious calculation process of comparison between two samples and avoid miscarriage of justice in the case of multiple diagnostic ratios of different oils, thus effectively to make up for the deficiency of the method of repeatability limit and other methods. It can provide some references for the marine oil spill accident fingerprint identification.
分 类 号:X55[环境科学与工程—环境工程]
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