New diagnostic ratios based on phenanthrenes and anthracenes for effective distinguishing heavy fuel oils from crude oils
Zhang, HJ; Wang, CY; Zhao, RX; Yin, XN; Zhou, HY; Tan, LJ; Wang, JT; Wang, JT (reprint author), Ocean Univ China, Minist Educ, Key Lab Marine Chem Theory & Technol, Qingdao 266100, Peoples R China. jtwang@ouc.edu.cn
2016-05-15
发表期刊MARINE POLLUTION BULLETIN
ISSN0025-326X
卷号106期号:1-2页码:58-61
产权排序[Zhang, Haijiang; Tan, Liju; Wang, Jiangtao] Ocean Univ China, Minist Educ, Key Lab Marine Chem Theory & Technol, Qingdao 266100, Peoples R China; [Zhang, Haijiang; Zhao, Ruxiang; Yin, Xiaonan; Zhou, Hongyang] Yantai Maritime Safety Adm, Yantai Oil Spill Response Tech Ctr, Yantai 264000, Peoples R China; [Wang, Chuanyuan] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China
摘要The heavy fuel oils (HFOs) and crude oils are the main oil types in the marine oil spill accidents in China. It is usually a challenge to distinguish the HFOs from crude oils due to the highly similar physicochemical characteristics. In this paper, the distributions of phenanthrene (Phe), anthracene (Ant), methyl-phenanthrene (MP) and methyl-anthracene (MA) in hundreds of HFOs and crude oils samples which were collected from all over the world were characterized. Nine new diagnostic indexes, such as Ant/(Ant + Phe) and other eight diagnostic ratios based on the MP isomers and MA, were developed for effective distinguishing HFOs from crude oils. The histogram with normal fit plots, the double ratio plots and Bayes discriminant analysis (BDA) method were employed to illustrate the effectiveness of the new diagnostic indexes. BDA model based on nine new diagnostic indexes demonstrated high precision with discriminant ratio which lay between 93.92% and 9932%. (C) 2016 Elsevier Ltd. All rights reserved.
关键词Hfos And Crude Oils Topic Phenanthrenes Anthracenes Diagnostic Indexes Topic Bayes Discriminant Analysis
作者部门中科院海岸带环境过程与生态修复重点实验室
DOI10.1016/j.marpolbul.2016.03.036
项目资助者Science and Technology Project of Maritime Safety Administration of the People's Republic of China(2015-14) ; North China Sea Branch of State Oceanic Administration(QDZC20150420-002) ; Science and Technology Service Network Initiative(KFJ-EW-STS-127) ; Key Projects in the Yantai Science & Technology Pillar Program(2011060) ; Project of on-site sediment microbial remediation of public area of central Bohai Sea
收录类别SCI
关键词[WOS]AROMATIC-HYDROCARBONS ; MATURITY ; INDICATORS ; BASIN
文章类型Article
语种英语
WOS研究方向Environmental Sciences & Ecology ; Marine & Freshwater Biology
WOS记录号WOS:000376545900021
引用统计
被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.yic.ac.cn/handle/133337/17080
专题中科院海岸带环境过程与生态修复重点实验室
通讯作者Wang, JT (reprint author), Ocean Univ China, Minist Educ, Key Lab Marine Chem Theory & Technol, Qingdao 266100, Peoples R China. jtwang@ouc.edu.cn
作者单位1.Ocean Univ China, Minist Educ, Key Lab Marine Chem Theory & Technol
2.Yantai Maritime Safety Adm, Yantai Oil Spill Response Tech Ctr
3.Chinese Acad Sci, Yantai Inst Coastal Zone Res
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GB/T 7714
Zhang, HJ,Wang, CY,Zhao, RX,et al. New diagnostic ratios based on phenanthrenes and anthracenes for effective distinguishing heavy fuel oils from crude oils[J]. MARINE POLLUTION BULLETIN,2016,106(1-2):58-61.
APA Zhang, HJ.,Wang, CY.,Zhao, RX.,Yin, XN.,Zhou, HY.,...&Wang, JT .(2016).New diagnostic ratios based on phenanthrenes and anthracenes for effective distinguishing heavy fuel oils from crude oils.MARINE POLLUTION BULLETIN,106(1-2),58-61.
MLA Zhang, HJ,et al."New diagnostic ratios based on phenanthrenes and anthracenes for effective distinguishing heavy fuel oils from crude oils".MARINE POLLUTION BULLETIN 106.1-2(2016):58-61.
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