Differentiation of weathered oils using infrared indexes and self-organizing maps

被引:1
作者
Gomez-Carracedo, M. P. [1 ]
Andrade-Garda, J. M. [1 ]
Prada-Rodriguez, D. [1 ]
机构
[1] Univ A Coruna, Dept Quim Analit, Inst Univ Medio Ambiente, Grp Quim Analit Aplicada QANAP, La Coruna 15071, Spain
关键词
Oil spills; Self organizing maps; 3-way data; IR index; CHEMICAL-CHARACTERIZATION; SPILL; PHOTOOXIDATION; CRUDE; BIODEGRADATION; CLASSIFICATION; FISHERIES; SEDIMENT; IDENTIFY; IMPACT;
D O I
10.1016/j.fuel.2015.04.064
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Recent estimations considered that up to 40% of oil spills in the US governmental jurisdiction remained unidentified. Many circumstances may be behind this striking figure, one of them the difficulties in the analytical characterization of the test aliquots and the subsequent extraction of information. In this paper a simple approach to handle complex datasets (organized as oils x weathering aliquots x analytical variables) is proposed. It considers self-organizing maps to gather information about: (i) the samples, and, so, whether the oils can be differentiated; (ii) the weathering of the oils; and (iii) the analytical variables (in this case, mid-IR spectral indexes) that characterize each oil and weathering. It was verified that the oils can be differentiated, even after their weathering. Besides, a quite good ordering of the aliquots as a function of time was revealed. Considering the two different arrangements that were studied (I x J x K or J x I x K) the results obtained are totally similar. The major difference was that when the (I x J x K) arrangement; i.e., oils x weathering aliquots x IR indexes, was considered, the final PCA (made with the MOLMAP-scores) discriminated immediately between the different products. Considering the (J x I x K) ordering; i.e., weathering aliquots x oils x IR indexes, the PCA emphasized the different stages of weathering. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:57 / 65
页数:9
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