Model-based optimization of field-scale electrokinetic treatment of dredged sediments

Masi, Matteo; Ceccarini, Alessio; Iannelli, Renato

doi:10.1016/j.cej.2017.07.004

Cited by 31 publications

(17 citation statements)

References 51 publications

(19 reference statements)

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“…An initial high carbonate content results in low removal of Cu, Pb and Zn in the initial phase of EDR confirming the influence of buffer capacity as reported in literature [41,42]. Carbonate appears to have the opposite influence in the slow removal phase of Cu and Pb (figure 7) which could be related to the low difference in final concentration range, so further removal of any residual carbonate would result in relatively higher removal.…”

Section: Influence Of Sediment Propertiessupporting

confidence: 82%

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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Section: Influence Of Sediment Propertiessupporting

confidence: 82%

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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“…The solid phases taken into account in the model included Pb 3 (OH) 2 (CO 3 ) 2 , Pb(OH) 2 , and PbCO 3 . The equilibrium constants for the precipitation and dissolution of Pb were referred to the thermodynamic database of PHREEQC [34].…”

Section: Model Designation Initializationmentioning

confidence: 99%

Pilot-scale electro-kinetic remediation of lead polluted field sediments: model designation, numerical simulation, and feasibility evaluation

2019

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Background: The accumulation of lead (Pb) in sediments from anthropogenic activities possesses serious threats to ecosystem and human health. Recycling of sediments for agricultural plantation is politically encouraged while their applications are still limited due to the high cost and poor environmental compatibility of existing remediation techniques. Electro-kinetic remediation (EKR) enhanced with electrode polarity inversion (EPI) strategy was an effective technique for Pb decontamination from low permeable matrix. However, lacking full understanding of the interactions between Pb and sediment constituents restricts the wide application of this technology. Results: In this study, an innovative approach based on model simulation and feasibility analysis was proposed for guiding the pilot-scale remediation and recycling of Pb-polluted sediments. Initially, a specific two-dimensional (2D) model that consisted of transport-reactive modules was designed, with assumptions of operating parameters and reaction equations. A three-step sequential non-iterative split-operator computation scheme was implemented to simulate the electrochemical variables of EKR. The predicted results indicated that the electrode reversal should be conducted around 48 h to avoid pH polarization and Pb precipitation. In addition, 12 h was suggested to be the preferable EPI duration as the shortest time required (226 h) to remove the target level of sediment Pb. Afterwards, a comparative study was performed between the experimental and simulated data to validate the model accuracy. Good agreements were achieved in spite of minor discrepancies which suggested the designed model could approximately predict the performance of EPI-enhanced EKR. Finally, the feasibility analysis was conducted based on a parametric study. In consideration of energy utilization efficiency, concentration of 220 mg/kg was determined as the lower limit of safety threshold for Pb removal. In this level, the maximum energy consumption (EC), materials, electrolyte posttreatment, and labor expenditure for sediments remediation were

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“…Examples of reactive processes in electrokinetic systems include abiotic oxidation (Chowdhury et al, 2017;Fan et al, 2016;Wu et al, 2012a), biological degradation (Gill et al, 2014;Lohner et al, 2008a,b;Thevanayagam and Rishindran, 1998). EK technologies have the potential to target different types of contaminants including chlorinated ethenes (Hyldegaard et al, 2019;Mao et al, 2012;, pesticides (López-Vizcaíno et al, 2017a,b;Risco et al, 2016), radionuclides (Jung et al, 2015;Kim et al, 2018) and heavy metals (Li et al, 1996;Masi et al, 2017a;Reddy et al, 2003;Virkutyte et al, 2002). Among the different electrokinetic mechanisms, electromigration is often the most important one and dominates the overall transport of charged species.…”

Section: Introductionmentioning

confidence: 99%

Charge interactions, reaction kinetics and dimensionality effects on electrokinetic remediation: A model-based analysis

Sprocati

Rolle

2020

Journal of Contaminant Hydrology

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Model-based optimization of field-scale electrokinetic treatment of dredged sediments

Cited by 31 publications

References 51 publications

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

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

Pilot-scale electro-kinetic remediation of lead polluted field sediments: model designation, numerical simulation, and feasibility evaluation

Charge interactions, reaction kinetics and dimensionality effects on electrokinetic remediation: A model-based analysis

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