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Characterization of Marine Oil Spills by Diagnostic Ratios, Wavelet Coefficients, and Ratio of Nickel to Vanadium with Chemometric Treatment and a Fisher Discriminant Model.
- Source :
-
Analytical Letters . 2022, Vol. 55 Issue 5, p728-740. 13p. 3 Charts, 6 Graphs. - Publication Year :
- 2022
-
Abstract
- Most identification methods for marine oil spills rely on single-dimensional chemical fingerprinting that is ineffective for weathered oil. A quantitative identification method is proposed in this study based upon multi-dimensional chemical fingerprinting composed of diagnostic ratios, wavelet coefficient, and the Ni/V. Twenty oil samples were used including 6 marine fuels, 7 Middle Eastern crude oils, and 7 non-Middle East crude oils. Diagnostic ratios were discussed using partial least square analysis, and fluorescence spectra were analyzed by db7 wavelet basis of 6-layers in the discrete wavelet transform. The first principal component and the wavelet coefficient at 354 ± 2 nm were combined with Ni/V and optimized by an exhaustive method as variables to establish the Fisher discriminant model. The developed model had 100% accuracy for modeled oil samples and for non-modeled crude oil before and after weathering, respectively, with 83.3% accuracy for non-modeled or short-term weathered marine fuel. The accuracy was 3% higher than reported in the literature. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00032719
- Volume :
- 55
- Issue :
- 5
- Database :
- Academic Search Index
- Journal :
- Analytical Letters
- Publication Type :
- Academic Journal
- Accession number :
- 155633721
- Full Text :
- https://doi.org/10.1080/00032719.2021.1965155