4.6 Article

Identification of the Contamination Sources by PCBs Using Multivariate Analyses: The Case Study of the Annaba Bay (Algeria) Basin

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MOLECULES
卷 28, 期 19, 页码 -

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MDPI
DOI: 10.3390/molecules28196841

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urban waste; wastewater; POPs; PCB contamination sources; PCA/HCA; multivariate analysis

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In this study, the contamination of persistent organic pollutants (POPs) in Annaba Bay, Algeria, was investigated using multivariate analysis. The results showed that the main sources of PCB emissions in the bay are urban/domestic and agricultural/industrial. This research provides a potential procedure and methodological analysis for future case studies.
Persistent Organic Pollutants (POPs), particularly the indicator polychlorinated biphenyls (PCBs), were first quantified in water and sediments of two wadis, Boujemaa and Seybouse, as well as in the effluents from a fertilizer and phytosanitary production industrial plant (Fertial). Since these contaminated discharges end in Annaba Bay (Algeria) in the Mediterranean Sea, with a significant level of contamination, all the potential sources should be identified. In this work, this task is conducted by a multivariate analysis. Liquid-liquid extraction and gas chromatography/mass spectrometry (GC-MS) methods were applied to quantify seven PCB congeners, usually taken as indicators of contamination. The sum of the PCB concentrations in the sediments ranged from 1 to 6.4 mu g/kg dw (dry weight) and up to 0.027 mu g/L in waters. Principal component analysis (PCA) and hierarchical cluster analysis (HCA) were used for the multivariate analysis, indicating that the main sources of PCB emissions in the bay are urban/domestic and agricultural/industrial. The outfalls that mostly contribute to the pollution of the gulf are the Boujemaa wadi, followed by the Seybouse wadi, and finally by the Fertial cluster and more precisely the annex basin of the plant. Although referring to a specific site of local importance, the work aims to present a procedure and a methodological analysis that can be potentially applicable to further case studies all over the world.

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