An optimised method for electrodialytic removal of heavy metals from harbour sediments

Pedersen, Kristine B.; Jensen, Pernille Erland; Ottosen, Lisbeth M.; Lejon, Tore

doi:10.1016/j.electacta.2015.05.050

Cited by 20 publications

(15 citation statements)

References 27 publications

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“…Advantages of PLS include simultaneous modelling of several responses, coping with collinearity between variables, coping with noise in the X and Y matrices, coping with moderate amounts of missing data (<20%) and since it is based on projections, it is possible to have more variables than objects [30,31]. The use of PLS in studies of pollution has been scarce and besides limited use for optimisation of remediation [33][34][35], it has been employed for identifying important factors for formation of toxic compounds in waste combustion [36,37].…”

Section: Accepted Manuscriptmentioning

confidence: 99%

The relative influence of electrokinetic remediation design on the removal of As, Cu, Pb and Sb from shooting range soils

Pedersen

Jensen

Ottosen

et al. 2018

Engineering Geology

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Section: Accepted Manuscriptmentioning

confidence: 99%

The relative influence of electrokinetic remediation design on the removal of As, Cu, Pb and Sb from shooting range soils

Pedersen

Jensen

Ottosen

et al. 2018

Engineering Geology

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“…Current density = Current (mA)/Area of inner circumference of electrodialytic cell (cm 2 ) 3 Experiments previously reported in [11] 4 Experiments previously reported in [10] 5 Experiments previously reported in [9] 6 Experiments previously reported in [7] The power consumption in Wh (E) was calculated as:…”

Section: Experimental Designmentioning

confidence: 99%

“…Metal partitioning, determined by sequential extraction, is an indication of how available the metals are in the sediment and to what extent a metal will be mobilised by ion-exchange, dissolution of carbonates, reducing or oxidising conditions, or acidic (pH<2) conditions. It can be a useful tool for assessing the potential for removing metals from sediments by electrodialysis and higher removal rates have for instance been observed for the more available metals (exchangeable/reducible) in the sediment [7,30].…”

Section: Metal Availability In the Sedimentsmentioning

confidence: 99%

“…It has however been employed for identifying important factors for formation of toxic PCB during waste combustion [5] and to assess the influence of soil properties on the chemical oxidation of PAH in soil [6]. In addition, our group has previously demonstrated the use of PLS models for evaluating the experimental variables for sediment-specific electrodialytic remediation (EDR) [7][8][9][10], as well as a tool for predicting experimental settings in new sediment [11].…”

Section: Introductionmentioning

confidence: 99%

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The influence of sediment properties and experimental variables on the efficiency of electrodialytic removal of metals from sediment

Pedersen

Lejon

Jensen

et al. 2017

Journal of Environmental Chemical Engineering

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Chemometrics was used to determine the influence of sediment properties and experimental settings for the electrodialytic removal (EDR) of Cu, Pb and Zn from six harbour sediments from Greenland and Norway. A Projection onto latent structures (PLS) model revealed that the most important sediment properties for achieving acidification (lag-phase, pH>4), necessary for desorbing and mobilising metals in the polluted sediments, were buffer capacity and grain size distribution. Higher stirring rate reduced the acidification time, stressing the importance of thorough mixing of the sediment suspension to achieve a fast and uniform acidification.PLS models were calculated to determine the influence of sediment properties on the removal of metals during EDR, which was observed to vary depending on the targeted metal and the stage of the remediation. In general, buffer capacity, grain size distribution, element composition and metal partitioning were important for remediation efficiency and are important parameters for determining optimal experimental settings. In the fast removal phase (final pH 2-4), organic matter as well as stirring rate had increasing importance indicating oxidation and release of metals at this stage. Understanding the influence of sediment properties is important for determining experimental settings in accordance with the phase of EDR.

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“…For this, different statistical tools may prove valuable and in a recent report the use of factorial design in optimizing the remediation of uranium polluted soils was reported (Radu et al, 2015). Another method is projections onto latent structures (PLS) which has been extensively used in chemical synthesis (Carlson and Carlson, 2005a) and also in studies of the influence of soil properties on PAH oxidation (Jonsson et al, 2007) and for identifying the most relevant variables for electrochemical treatment of sediments (Pedersen et al, 2015b;Pedersen et al, 2015c;Pedersen et al, 2015d).…”

Section: Introductionmentioning

confidence: 99%

Applying multivariate analysis as decision tool for evaluating sediment-specific remediation strategies

et al. 2016

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Multivariate methodology was employed for finding optimum remediation conditions for electrodialytic remediation of harbour sediment from an Arctic location in Norway. The parts of the experimental domain in which both sediment- and technology-specific remediation objectives were met were identified. Objectives targeted were removal of the sediment-specific pollutants Cu and Pb, while minimising the effect on the sediment matrix by limiting the removal of naturally occurring metals while maintaining low energy consumption. Two different cell designs for electrochemical remediation were tested and final concentrations of Cu and Pb were below background levels in large parts of the experimental domain when operating at low current densities (<0.12 mA/cm(2)). However, energy consumption, remediation times and the effect on naturally occurring metals were different for the 2- and 3-compartment cells.

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An optimised method for electrodialytic removal of heavy metals from harbour sediments

Cited by 20 publications

References 27 publications

The relative influence of electrokinetic remediation design on the removal of As, Cu, Pb and Sb from shooting range soils

The relative influence of electrokinetic remediation design on the removal of As, Cu, Pb and Sb from shooting range soils

The influence of sediment properties and experimental variables on the efficiency of electrodialytic removal of metals from sediment

Applying multivariate analysis as decision tool for evaluating sediment-specific remediation strategies

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