Enhanced reducing leachate pollution index through electrocoagulation using response surface methodology.

Central composite design Electrocoagulation Leachate pollution index Response surface methodology

Journal

Heliyon
ISSN: 2405-8440
Titre abrégé: Heliyon
Pays: England
ID NLM: 101672560

Informations de publication

Date de publication:
30 Sep 2024
Historique:
received: 04 07 2024
revised: 17 09 2024
accepted: 18 09 2024
medline: 9 10 2024
pubmed: 9 10 2024
entrez: 9 10 2024
Statut: epublish

Résumé

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

Identifiants

pubmed: 39381255
doi: 10.1016/j.heliyon.2024.e38134
pii: S2405-8440(24)14165-5
pmc: PMC11458947
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e38134

Informations de copyright

© 2024 The Author(s).

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Fateme Ameli (F)

Department of Environmental Health Engineering, School of Public Health, Zanjan University of Medical Sciences, Zanjan, Iran.

Hassan Hashemi (H)

Research Center for Health Sciences, Institute of Health, Department of Environmental Health Engineering, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran.

Mohammad Reza Samaei (MR)

Research Center for Health Sciences, Institute of Health, Department of Environmental Health Engineering, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran.

Esrafil Asgari (E)

Department of Environmental Health Engineering, School of Public Health, Zanjan University of Medical Sciences, Zanjan, Iran.

Mehran Mohammadian Fazli (M)

Department of Environmental Health Engineering, School of Public Health, Zanjan University of Medical Sciences, Zanjan, Iran.

Classifications MeSH