Using Principal Component Analysis (PCA) to Interpret Geochemical Composition of Toxic Waste
Abstract
The Ivorian Antipollution Center discovered toxic waste from Probo Koala ship in August 21, 2006. This ship had been used by the Trafigura company to refine oil called naphtha of cokéfaction at sea. The refining process involved caustic sodium carbonate washing, which produced toxic waste. This waste was unloaded in 13 areas of the Abidjan district: Akouédo, Abobo, Abobo-Alépé Road (Djibi village), Civile Prison Road (MACA), the industrial zone of Koumassi, and Port-Bouët-Vridi CAP Logistic (Rue Saint-Sylvestre), among others. This situation caused a socio-political crisis and resulted in the deaths of many people. Initial analysis showed that the substances in the toxic waste originated from petroleum processing. To access the environmental impact of this pollution in the Abidjan district (Ivory Coast), samples of the toxic waste were sent for analysis to the Wessling laboratory in France. The results revealed that the waste contained Polycyclics Aromatics Hydrocarbons (PAH), Volatile Aromatics Compound (VAC), Mercaptans, Sulfur molecules, Aliphatic hydrocarbons, Linear hydrocarbons, Total Petroleum Hydrocarbons (TPH), and heavy metals.
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References
2. Barnett, V. & Lewis, T. (1984). Outliers in Statistical Data, Wiley, New York.
3. Biache, C., Mansuy-Huault, L., Faure, P., Munier-Lamy, C., & Leyval, C. (2008). Effects of thermal desorption on the composition of two coking plant soils: impact on solvent extractable organic compounds and metal bioavailability. Environ Pollut 156(3):671–677.
4. Biache, C., Kouadio, O., Hanna, K., Lorgeoux, C., & Faure, P. (2014a). Role of goethite during air-oxidation of PAH-contaminated soils. Chemosphere.117 : 823-829.
5. Biache, C., Kouadio, O., Lorgeoux, C., & Faure, P. (2014b). Impact of clay mineral on airoxidation of PAH-contaminated soils. Environ. Sci. Pollut. Res., 1–10.
6. Caussinus, H., Fekri, M., Hakam, S., & Ruiz-gazen, A. (2003). “A monitoring display of multivariate outliers”, Computational Statistics and Data Analysis, vol. 44, num. 1–2, p. 237–252.
7. De Leeuw, J. & Van Rijckevorsel, J. L. A. (1988). Component and Correspondence Analysis: Dimension Reduction by Functional Approximation, Wiley, New York.
8. Flore, R., Pierre, H., Roger, R., & Martine, R. (2016). Classification of toxic waste, application guide for the danger characterization, 04/02/2016 INERIS-DRC-15-149793-06416A.
9. Gnanadesikan, R. (1977). Methods for Statistical Data Analysis of Multivariate Observations, Wiley, New York.
10. Gower, J. C. & Hand, D. J. (1996). Biplots, Chapman & Hall, London.
11. Hawkins, D. M. (1986). “The detection of errors in multivariate data using principal component”, Journal of the American Statistical Association, vol. 69, num. 346, 1974.
12. Jolliffe, I. T. (1986). Principal Component Analysis, Springer-Verlag, New York.
13. Keith, LH. & Telliard, WA. (1979). Priority pollutants: I. A perspective view. Environ Sci Technol 13(4):416–423.
14. Lebart, L., Morineau, A., & Piron, M. (2006). Multidimensionnel Exploration Statistical, Dunod, Paris, 4th edition.
15. Montgomery, D. C. (1985). Introduction to Statistical Quality Control, Wiley, New York.
16. Niang, N. N. (1994). Multidimensional methods for statistical process control, PhD thesis, University of Paris Dauphine, France.
17. Niang, N. N. (2002). “Multidimensional methods for statistical process control: some contributions of robust statistics”, Lauro C., Antoch J., Esposito V., Saporta G., Eds., Multivariate Total Quality Control, Heidelberg, Physica-Verlag, p. 136–162.
18. Saporta, G. (2006). Probabilities, Analysis of Data and Statistical, Technip, Paris.
19. Schölkopf, B., Smola, A., & Muller, K. (1999). “Kernel principal component analysis”, Eds., Advances in Kernel Methods – Support Vector Learning, MIT Press, p. 327–352.
20. US-EPA (1999). Use of monitored natural attenuation at superfund, RCRA
corrective action, and underground storage tank sites. USEPA,
Office of Solid Waste and Emergency Response : Washington (DC).
Copyright (c) 2025 Olivier Kouadio, Kouassi Dongo, Koffi Sebastien Ouffoue, Antoine Koffi, Maxime Romeo Kouadio

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