Journal
JOURNAL OF HAZARDOUS MATERIALS
Volume 283, Issue -, Pages 712-720Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.jhazmat.2014.10.016
Keywords
Harbour sediments; Electrodialytic remediation; Electrokinetic remediation; Heavy metals; Multivariate modelling
Categories
Funding
- Research Council of Norway [195160]
- Eni Norge AS
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Chemometrics was used to develop a multivariate model based on 46 previously reported electrodialytic remediation experiments (EDR) of five different harbour sediments. The model predicted final concentrations of Cd, Cu, Pb and Zn as a function of current density, remediation time, stirring rate, dry/wet sediment, cell set-up as well as sediment properties. Evaluation of the model showed that remediation time and current density had the highest comparative influence on the clean-up levels. Individual models for each heavy metal showed variance in the variable importance, indicating that the targeted heavy,metals were bound to different sediment fractions. Based on the results, a PLS model was used to design five new EDR experiments of a sixth sediment to achieve specified clean-up levels of Cu and Pb. The removal efficiencies were up to 82% for Cu and 87% for Pb and the targeted clean-up levels were met in four out of five experiments. The clean-up levels were better than predicted by the model, which could hence be used for predicting an approximate remediation strategy; the modelling power will however improve with more data included. (C) 2014 Elsevier B.V. All rights reserved.
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