Advanced  
YIC-IR  > 中科院海岸带环境过程与生态修复重点实验室  > 期刊论文
题名:
New diagnostic ratios based on phenanthrenes and anthracenes for effective distinguishing heavy fuel oils from crude oils
作者: Zhang, HJ; Wang, CY; Zhao, RX; Yin, XN; Zhou, HY; Tan, LJ; Wang, JT
刊名: MARINE POLLUTION BULLETIN
ISSN号: 0025-326X
出版日期: 2016-05-15
卷号: 106, 期号:1-2, 页码:58-61
关键词: HFOs and crude oils ; Topic ; Phenanthrenes ; Anthracenes ; Diagnostic indexes ; Topic ; Bayes discriminant analysis
DOI: 10.1016/j.marpolbul.2016.03.036
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
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
作者部门: 中科院海岸带环境过程与生态修复重点实验室
英文摘要: 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.
研究领域[WOS]: Environmental Sciences & Ecology ; Marine & Freshwater Biology
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
关键词[WOS]: AROMATIC-HYDROCARBONS ; MATURITY ; INDICATORS ; BASIN
文章类型: Article
收录类别: SCI
语种: 英语
WOS记录号: WOS:000376545900021
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.yic.ac.cn/handle/133337/17080
Appears in Collections:中科院海岸带环境过程与生态修复重点实验室_期刊论文

Files in This Item: Download All
File Name/ File Size Content Type Version Access License
New diagnostic ratios based on phenanthrenes and anthracenes for effective distinguishing heavy fuel oils from crude oils.pdf(728KB)期刊论文作者接受稿开放获取View Download

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

Recommended Citation:
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.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Zhang, HJ]'s Articles
[Wang, CY]'s Articles
[Zhao, RX]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Zhang, HJ]‘s Articles
[Wang, CY]‘s Articles
[Zhao, RX]‘s Articles
Related Copyright Policies
Null
Social Bookmarking
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit
文件名: New diagnostic ratios based on phenanthrenes and anthracenes for effective distinguishing heavy fuel oils from crude oils.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 
评注功能仅针对注册用户开放,请您登录
您对该条目有什么异议,请填写以下表单,管理员会尽快联系您。
内 容:
Email:  *
单位:
验证码:   刷新
您在IR的使用过程中有什么好的想法或者建议可以反馈给我们。
标 题:
 *
内 容:
Email:  *
验证码:   刷新

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.

 

 

Valid XHTML 1.0!
Copyright © 2007-2017  中国科学院烟台海岸带研究所 - Feedback
Powered by CSpace