Establishment and application of an intelligent treating method for oil spill identification

YIC-IR

	Establishment and application of an intelligent treating method for oil spill identification
其他题名	Establishment and application of an intelligent treating method for oil spill identification
	Tan Liju 1; Zhao Ruxiang 2; Yin Xiaonan 2; Zhang Haijiang 2; Wang Jiangtao 1
发表期刊	ACTA OCEANOLOGICA SINICA
ISSN	0253-505X
	2018
卷号	37 期号:11 页码:116-122
关键词	PETROLEUM-PRODUCTS DIAGNOSTIC RATIOS BIOMARKERS oil fingerprint automatic identification diagnostic ratio standardized database oil spills sources
英文摘要	In the identifying process of an oil spill accident, manual integral and artificial visual comparison are commonly used at present to determine the oil spill sources, these methods are time-consuming and easily affected by human factors. Therefore, it is difficult to achieve the purpose of rapid identification of an oil spill accident. In this paper, an intelligent method of automatic recognition, integration and calculation of diagnostic ratio of Gas Chromatography-Mass Spectrometer (GC/MS) spectrum are established. Firstly, four hundreds of samples collected around the world were analyzed using a standard method and Retention time locking technology (RTL) was applied to reduce the change of retention time of GC/MS spectrum. Secondly, the automatic identification, integration of n-alkanes, biomarker compounds, polycyclic aromatic hydrocarbons and calculation of the diagnostic ratios were realized by MATLAB software. Finally, a database of oil fingerprints were established and applied successfully in a spill oil accident. Based on the new method and database, we could acquire the diagnostic ratios of an oil sample and find out the suspected oil within a few minutes. This method and database can improve the efficiency in spilled oil identification.
中文摘要	In the identifying process of an oil spill accident, manual integral and artificial visual comparison are commonly used at present to determine the oil spill sources, these methods are time-consuming and easily affected by human factors. Therefore, it is difficult to achieve the purpose of rapid identification of an oil spill accident. In this paper, an intelligent method of automatic recognition, integration and calculation of diagnostic ratio of Gas Chromatography-Mass Spectrometer (GC/MS) spectrum are established. Firstly, four hundreds of samples collected around the world were analyzed using a standard method and Retention time locking technology (RTL) was applied to reduce the change of retention time of GC/MS spectrum. Secondly, the automatic identification, integration of n-alkanes, biomarker compounds, polycyclic aromatic hydrocarbons and calculation of the diagnostic ratios were realized by MATLAB software. Finally, a database of oil fingerprints were established and applied successfully in a spill oil accident. Based on the new method and database, we could acquire the diagnostic ratios of an oil sample and find out the suspected oil within a few minutes. This method and database can improve the efficiency in spilled oil identification.
收录类别	CSCD
语种	英语
CSCD记录号	CSCD:6375632
引用统计
文献类型	期刊论文
条目标识符	http://ir.yic.ac.cn/handle/133337/35074
专题	中国科学院烟台海岸带研究所
作者单位	1.中国科学院化学研究所 2.中国科学院烟台海岸带研究所
推荐引用方式 GB/T 7714	Tan Liju,Zhao Ruxiang,Yin Xiaonan,et al. Establishment and application of an intelligent treating method for oil spill identification[J]. ACTA OCEANOLOGICA SINICA,2018,37(11):116-122.
APA	Tan Liju,Zhao Ruxiang,Yin Xiaonan,Zhang Haijiang,&Wang Jiangtao.(2018).Establishment and application of an intelligent treating method for oil spill identification.ACTA OCEANOLOGICA SINICA,37(11),116-122.
MLA	Tan Liju,et al."Establishment and application of an intelligent treating method for oil spill identification".ACTA OCEANOLOGICA SINICA 37.11(2018):116-122.