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引用本文:贺世杰,王传远,于洪军,徐兴永.柴油的中重度风化鉴别指标研究[J].海洋科学,2014,38(1):27-32.
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柴油的中重度风化鉴别指标研究
贺世杰1,2,3,4, 王传远1, 于洪军2, 徐兴永2
1.中国科学院 烟台海岸带研究所;2.国家海洋局 第一海洋研究所;3.中国科学院大学;4.鲁东大学 海岸研究所
摘要:
以柴油为研究对象, 采用溢油风化模拟实验, 从分子级水平揭示中长期风化作用对溢油组成的影响。利用相对偏差和重复性限法进行评价和筛选, 研究表明, 柴油在较短时间(10 d)内, phytane/n-C18和 pristine/phytane 特征比率可较好地作为油品鉴别的依据; 在10~30 d 的风化期间, pristine/phytane 仍可作为油品鉴别的依据; 较长期的风化过程后, 上述三个正构烷烃特征比率对于油品鉴别已不再具备意义。所选多环芳烃诊断比值指标中, 除MNR、MP/P 外, 其他参数(MPI-1, MPI-2, Rc, MPDF1, MPDF2,MNR)相对标准偏差在1.10%~5.40%, 可较好地用于重度风化溢油源鉴定。
关键词:  风化模拟实验  中重度风化  燃料油  溢油指纹鉴别  重复性限法
DOI:10.11759/hykx20130103001
分类号:
基金项目:国家自然科学基金资助项目 (40806048, 41206089); 烟台市科技发展计划项目“烟台近海溢油事故油指纹鉴别新技术的开发和应用”(2011060)
Abstract:
This paper presented the experimental results of composition changes of heavy diesel oil by simulating weathering in static seawater under natural environmental conditions and identified the influence of weathering on composition of diesel oils at molecular level. With relative deviation and repeatability limit analysis, the experimental results showed that phytane/n-C18 and pristine/phytane in three n-alkanes characteristic ratios of the experimental diesel fuel oils were suitable as the characteristic ratios for oil identification in a shorter simulated weathering time (10 d); pristine/phytane was still available after moderate weathering process (10-30 d); while after longer-term weathering processes, these three n-alkanes characteristic ratios no longer appropriated for oil identification. In ten selected n-alkanes diagnosis ratio indicators, only OEP2 characteristic ratios maintained good stability. RSD (relative standard deviation) (%) of MNR in eight PAHs diagnostic indicators were greater than 5%. Except for MNR and MP/P, a number of maturity parameters of alkyl naphthalenes and methyl phenanthrenes (e.g., MPI-1, MPI-2, RC, MPDF1, MPDF2, and MNR) may be suitable for the source identification and correlation for moderately biodegraded oils.
Key words:  weathering simulation experiment  moderate and heavy-weathering  fuel oils  fingerprint identification  repeatability limit analysis
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