Benson, N. U. and Adedapo , E.A. and Fred-Ahmadu, O.H. and Williams, Akan B. and Anake, W. U. and Olajire, A. A. (2017) Assessment of Sediment-Associated Contamination Risks Using New Multivariate Statistical Indexes. In: 15th International Conference on Environmental Science and Technology, 31 August to 2 September 2017, Rhodes, Greece..
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Abstract
This paper presents the assimilation of heavy metal concentration data from sequential extraction method (SEM) with metal toxicity factors to develop and propose a new sediment quality index called ecological contamination index (ECI), to predict the potential ecological risk associated with sediment contamination. Chemical speciation sediment data of five heavy metals: cadmium (Cd), chromium (Cr), copper (Cu), nickel (Ni), and lead (Pb) from five coastal aquatic ecosystems of the Equatorial Atlantic Ocean were used in assessment of the degree of heavy metal contamination. Other contamination indicators (degree of contamination, modified degree of contamination) used in characterization and identification of pollution hotspots, indicate considerably contaminated ecological ecosystems. Evaluation based on ECI indicates that sediments of most aquatic ecosystems were considerably to highly contaminated. The results illustrate that the proposed index is reliable, precise, and in good agreement with similar existing indexes for evaluating the severity of sediment-associated contamination by heavy metals. The principal component analysis (PCA) and factor analysis indicate that heavy metals in the benthic sediments originate mostly from anthropogenic sources.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Fractionation, heavy metals, sediment, sediment pollution, contamination index. |
| Subjects: | Q Science > Q Science (General) Q Science > QD Chemistry |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Chemistry |
| Depositing User: | Mrs Patricia Nwokealisi |
| Date Deposited: | 12 Mar 2018 15:58 |
| Last Modified: | 12 Mar 2018 15:58 |
| URI: | http://eprints.covenantuniversity.edu.ng/id/eprint/10374 |
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