globalchange  > 过去全球变化的重建
DOI: 10.1016/j.marpolbul.2015.04.053
Scopus记录号: 2-s2.0-84931572670
论文题名:
The use of diagnostic ratios, biomarkers and 3-way Kohonen neural networks to monitor the temporal evolution of oil spills
作者: Fernández-Varela R.; Gómez-Carracedo M.P.; Ballabio D.; Andrade J.M.
刊名: Marine Pollution Bulletin
ISSN: 0025-326X
EISSN: 1879-3363
出版年: 2015
卷: 96, 期:2018-01-02
起始页码: 313
结束页码: 320
语种: 英语
英文关键词: 3-way Kohonen neural networks ; Biomarkers ; Diagnostic ratios ; GC-MS ; Oil spill fingerprint
Scopus关键词: Biomarkers ; Oil spills ; Chromatographic data ; Data treatment ; Diagnostic ratios ; GC-MS ; Kohonen neural networks ; Simple approach ; Temporal evolution ; Three dimensional arrays ; Oil shale ; 1 methyldibenzothiophene ; 4 methylpyrene ; biological marker ; polycyclic aromatic hydrocarbon ; steroid ; unclassified drug ; biological marker ; polycyclic aromatic hydrocarbon ; artificial neural network ; biomarker ; gas chromatography ; identification method ; mass spectrometry ; oil spill ; organic pollutant ; pollution monitoring ; temporal evolution ; 3 way Kohonen neural network ; algorithm ; analytical parameters ; Article ; artificial neural network ; classification ; computer program ; oil spill ; pollution monitoring ; scoring system ; analysis ; environmental monitoring ; oil spill ; procedures ; statistics and numerical data ; water pollution ; weather ; Biomarkers ; Environmental Monitoring ; Neural Networks (Computer) ; Petroleum Pollution ; Polycyclic Hydrocarbons, Aromatic ; Water Pollution ; Weather
Scopus学科分类: Agricultural and Biological Sciences: Aquatic Science ; Earth and Planetary Sciences: Oceanography ; Environmental Science: Pollution
英文摘要: Oil spill identification relies usually on a wealth of chromatographic data which requires advanced data treatment (chemometrics). A simple approach based on Kohonen neural networks to handle three-dimensional arrays is presented. A suite of 28 diagnostic ratios was considered to monitor six oils along four months. It was found that some traditional diagnostic ratios were not stable enough. In particular, alkylated PAHs (e.g. 1-methyldibenzothiophene, 4-methylpyrene, 27bbSTER and the TA21 and TA26 triaromatic steroids) seemed less resistant to medium-weathering than biomarkers. One (or two) ratios were found to differentiate each product: 30O, 28ab (and 25nor30ab), C3-dbt/C3-phe, 27Ts, TA26 and 29Ts characterized Ashtart, Brent, Maya, Sahara, IFO and Prestige oils, respectively. © 2015 Elsevier Ltd.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/86025
Appears in Collections:过去全球变化的重建
全球变化的国际研究计划

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作者单位: Department of Plant and Environmental Sciences, University of Copenhagen, Thorvaldsensvej 40, Frederiksberg C, Denmark; Grupo Química Analítica Aplicada (QANAP), Departamento de Química Analítica, Universidade da Coruña, Campus da Zapateira, Coruña, Spain; Milano Chemometrics and QSAR Research Group, Department of Environmental and Earth Sciences, University of Milano-Bicocca, P.za della Scienza, Milano, Italy

Recommended Citation:
Fernández-Varela R.,Gómez-Carracedo M.P.,Ballabio D.,et al. The use of diagnostic ratios, biomarkers and 3-way Kohonen neural networks to monitor the temporal evolution of oil spills[J]. Marine Pollution Bulletin,2015-01-01,96(2018-01-02)
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