Evaluation of diagnostic ratios of medium and serious weathered oils from five different oil sources

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• 作者：Shijie He ; Chuanyuan Wang ; Yantai Li ; Hongjun Yu ; Bin Han
• 关键词：identification of spilled oils ; medium to long term weathering process ; simulation experiment ; biomarker ratios
• 刊名：Acta Oceanologica Sinica
• 出版年：2016
• 出版时间：April 2016
• 年：2016
• 卷：35
• 期：4
• 页码：1-8
• 全文大小：281 KB
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• 作者单位：Shijie He (1) (2) (3)
  Chuanyuan Wang (2)
  Yantai Li (4)
  Hongjun Yu (5)
  Bin Han (5)
  
  1. School of Resources and Environmental Engineering, Ludong University, Yantai, 264025, China
  2. Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, 264003, China
  3. University of Chinese Academy of Sciences, Beijing, 100049, China
  4. Institute of Public Administration, Shandong Economic University, Jinan, 250014, China
  5. First Institute of Oceanography, State Oceanic Administration, Qingdao, 266061, China
  
• 刊物主题：Oceanography; Climatology; Ecology; Engineering Fluid Dynamics; Marine & Freshwater Sciences; Environmental Chemistry;
• 出版者：Springer Berlin Heidelberg
• ISSN：1869-1099

文摘

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%.