基于聚类分析法鉴别长期风化的沉底油

发布时间：2018-03-19 05:10

本文选题：沉底油　切入点：长期风化　出处：《环境科学与技术》2017年07期 　论文类型：期刊论文

【摘要】：为了鉴别长期风化的沉底油,以1种原油(A)和2种燃油(B和C)为研究对象,采用重复性限法筛选340 d风化的水面漂浮油和水下沉底油的稳定诊断比,并基于这些诊断比对沉底油进行聚类分析。结果表明,诊断比的稳定性不仅和油种、风化时间有关,还和溢油的存在形态密切相关;轻组分含量相对高的A和B的沉底油比它们对应的漂浮油受到的风化影响更大,而重组分含量高的C正好相反,研究最终得到4个适合鉴别长期风化漂浮油和沉底油的稳定诊断比;聚类分析法可将沉底油与其油源很好地聚类,并可反映沉底油的风化程度。因此,基于稳定诊断比的聚类分析法可用于鉴别长期风化的沉底油,值得进一步推广。
[Abstract]:In order to identify long-term weathering of bottom oil, with 1 kinds of crude oil (A) and 2 kinds of fuel (B and C) as the research object, the repeatability limit method for screening 340 D weathered floating bottom oil and water stability under diagnosis ratio, and based on the clustering analysis of these diagnostic results. Comparison of bottom oil show that the diagnosis ratio and stability not only oil, weathering time, and oil spill forms are closely related; the weathering effect of floating oil content of light components with relatively high A and B than their corresponding bottom oil is larger, and the reorganization of the high content of C on the contrary, the research finally obtained 4 for the identification of long-term weathering and floating oil and bottom oil stability than the clustering analysis method can diagnose; oil and oil source will sink well cluster, and can reflect the degree of weathering of bottom oil. Therefore, stable diagnostic than cluster analysis method can be used for the identification of the bottom oil based on long-term weathering It is worth further promotion.

【作者单位】：大连海事大学环境科学与工程学院;
【基金】：国家重点研发计划项目(2016YFC1402301) 国家自然科学基金项目(41576111,11675031) 辽宁省教育厅科研项目(L2015061) 辽宁省科技厅科研项目(2015020596) 中央高校基本科研业务费专项基金资助项目(3132016327)
【分类号】：X55

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