Modeling and optimizing by the response surface methodology of the Pb(II)-removing effectiveness from a soil by electrokinetic remediation

Herein, we report the optimization of Pb(II) ions removal from soil by electrokinetic remediation, using the response surface methodology (RSM) based on central composite design (CCD) describing individual and interactive effects of three chosen variables: the current intensity (I), electrolyte conc...

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Bibliographic Details
Published in:Soil & sediment contamination 2023-04, Vol.32 (3), p.305-319
Main Authors: Kada, K., Abdi, A., Djelloul Sayah, Z. Bekkar, Akretche, D. E., Rafai, S., Lahmar, H., Benamira, M.
Format: Article
Language:English
Subjects:
Atomic absorption spectrophotometry
Design
Electrokinetic remediation
Electrokinetics
Electrolytes
Lead
Methods
Modelling
Optimization
Physicochemical processes
Physicochemical properties
Polynomials
Remediation
Removal
Response surface methodology
Soil
Soil contamination
Soil pollution
Soil properties
Soil remediation
Soils
Spectral analysis
Spectrophotometers
Sulfuric acid
Sulphuric acid
Variance analysis
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Summary:Herein, we report the optimization of Pb(II) ions removal from soil by electrokinetic remediation, using the response surface methodology (RSM) based on central composite design (CCD) describing individual and interactive effects of three chosen variables: the current intensity (I), electrolyte concentration (C) and remediation time (t). Sulfuric acid was selected as the electrolyte medium. The physicochemical properties of the soil were well characterized. The electrokinetic remediation (EKR) experiments were performed in galvanostatic mode, at constant current intensity. The lead Pb(II) content was measured using the atomic absorption spectrophotometer (AAS). Designing and modeling of the experimental runs were done using the Design Expert software. The results establish that the quadratic polynomial model matches the experimental data between the removal efficiency (η %) and the influencing factors. The obtained p-values (
ISSN:1532-0383
1549-7887
DOI:10.1080/15320383.2022.2083580