Enhanced reducing leachate pollution index through electrocoagulation using response surface methodology

Addressing the urgent need to effectively manage landfill leachate as a harmful flow for human health and the environment, this research investigates how electrocoagulation (EC) processes could alleviate the pollution potential of leachate. So far, no experimental study has been carried out on reducing the leachate pollution index (LPI) under the EC process. For this purpose, in this novel research, the LPI was utilized as a key metric to evaluate the efficiency of the treatment process. Central Composite Design (CCD) as a subset of Response Surface Methodology (RSM) was applied to enhance the LPI parameters decreasing percentage. The data were analyzed by analysis of variance and multivariate regression and 3D plots assessed variable interactions. Under optimal conditions, it showed removal of 97.48 % for COD, 91.42 % for BOD<sub>5</sub>, 98.52 % for N-NH<sub>3</sub>, and 91.6 % for TDS. Significant reductions were observed in 94.81 % TKN, 87.20 %, 82.80 %, 96.66 %, and 99.28 %, 99.18 %, and 96.56 % for TKN, Cl<sup>-</sup>, CN<sup>-</sup>, As, Cr, Zn, and Ni, respectively. Moreover, the kinetics of COD removal indicated that it follows a first-order model. Thus, based on experimental results, the LPI of raw leachate decreased from 38.06 to 7.22 (81 % decrease) under the EC treatment method. The study indicated that the EC treatment method successfully reduced leachate pollution and met the leachate discharge standard.

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Publication Details

Journal
Heliyon
Published
2024-09-01
DOI
https://doi.org/10.1016/j.heliyon.2024.e38134
Citations
7
Primary Topic
Advanced oxidation water treatment
Type
article
Field-Weighted Citation Impact
1.41

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article

Enhanced reducing leachate pollution index through electrocoagulation using response surface methodology

Esrafil Asgari, Mehran Mohammadian Fazli, Hassan Hashemi, Fateme Ameli et al.
7 citations
Heliyon
Advanced oxidation water treatment
1.41
article

Enhanced reducing leachate pollution index through electrocoagulation using response surface methodology

Esrafil Asgari, Mehran Mohammadian Fazli, Hassan Hashemi, Fateme Ameli, Mohammad Reza Samaei
article en
7 citations

Abstract

Addressing the urgent need to effectively manage landfill leachate as a harmful flow for human health and the environment, this research investigates how electrocoagulation (EC) processes could alleviate the pollution potential of leachate. So far, no experimental study has been carried out on reducing the leachate pollution index (LPI) under the EC process. For this purpose, in this novel research, the LPI was utilized as a key metric to evaluate the efficiency of the treatment process. Central Composite Design (CCD) as a subset of Response Surface Methodology (RSM) was applied to enhance the LPI parameters decreasing percentage. The data were analyzed by analysis of variance and multivariate regression and 3D plots assessed variable interactions. Under optimal conditions, it showed removal of 97.48 % for COD, 91.42 % for BOD<sub>5</sub>, 98.52 % for N-NH<sub>3</sub>, and 91.6 % for TDS. Significant reductions were observed in 94.81 % TKN, 87.20 %, 82.80 %, 96.66 %, and 99.28 %, 99.18 %, and 96.56 % for TKN, Cl<sup>-</sup>, CN<sup>-</sup>, As, Cr, Zn, and Ni, respectively. Moreover, the kinetics of COD removal indicated that it follows a first-order model. Thus, based on experimental results, the LPI of raw leachate decreased from 38.06 to 7.22 (81 % decrease) under the EC treatment method. The study indicated that the EC treatment method successfully reduced leachate pollution and met the leachate discharge standard.

HeliyonVol. 10(18)
Zanjan University of Medical Sciences (IR), Shiraz University of Medical Sciences (IR)
Zanjan University of Medical Sciences, University of Zanjan
Openalex Percentile: Top 20%
Advanced oxidation water treatment
1.41
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Enhanced reducing leachate pollution index through electrocoagulation using response surface methodology — Esrafil Asgari, Mehran Mohammadian Fazli, et al. · Heliyon (2024) | TGRS Research Map | TGRS