Classification tools based on artificial neural networks for the purpose of identification of origin of organic matter and oil pollution in recent sediments
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The distinction between autochthonous, and oil-like origin of organic matter in geological sediments can be performed on the basis of n-alkane abundance and distribution patterns, determined by gas chromatography, or on the basis of the carbon-isotope ratio (delta (CPDB)-P-13) patterns of dominant n-alkanes, determined by gas chromatography-mass spectroscopy. Here we present solutions for automatic classification of organic matter origin in geological sediments, based on artificial neural networks.
Keywords:oil-type pollution / sediments / artificial neural networks / n-alkane distribution / carbon isotope ratio
Source:Fresenius Environmental Bulletin, 1998, 7, 11-12, 648-653
- Inst Lebensmitteltechnologie Analytische Chemie, Freising-Weihenstephan