Multivariate methods for evaluating the efficiency of electrodialytic removal of heavy metals from polluted harbour sediments
Journal of Hazardous Materials ()
1 Akvaplan-niva (nåværende ansatt)
Forfattere (5)
- Kristine Bondo Pedersen
- Gunvor M. Kirkelund
- Lisbeth M. Ottosen
- Pernille E. Jensen
- Tore Lejon
Description
Accepted manuscript version. Published version at http://doi.org/10.1016/j.jhazmat.2014.10.016. License in accordance with the journal's policy - CC-BY-NC-ND.
Abstract
Chemometrics was used to develop a multivariate model based on 46 previously reportedelectrodialytic remediation experiments (EDR) of five different harbour sediments. The modelpredicted 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 modelshowed that remediation time and current density had the highest comparative influence on theclean-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 sedimentto achieve specified clean-up levels of Cu and Pb. The removal efficiencies were up to 82% for Cu and87% for Pb and the targeted clean-up levels were met in four out of five experiments. The clean-uplevels were better than predicted by the model, which could hence be used for predicting anapproximate remediation strategy; the modelling power will however improve with more dataincluded.