PAHs remediation from hazardous waste landfill leachate using fenton, photo � fenton and electro - fenton oxidation processes � performance evaluation under optimized conditions using RSM and ANN

Polycyclic aromatic hydrocharbons (PAHs) are a class of highly toxic pollutants that are highly detrimental to the ecosystem. Landfill leechate emanated from municipal solid waste are reported to constitute significant PAHs. In the present investigation, three Fenton proceses, namely conventional Fe...

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Main Authors: Singa, P.K., Isa, M.H., Sivaprakash, B., Ho, Y.-C., Lim, J.-W., Rajamohan, N.
Format: Article
Published: Academic Press Inc. 2023
Online Access:http://scholars.utp.edu.my/id/eprint/37409/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159949482&doi=10.1016%2fj.envres.2023.116191&partnerID=40&md5=5b462b635877ee1dde3b27b2abc08b63
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spelling oai:scholars.utp.edu.my:374092023-10-04T12:43:14Z http://scholars.utp.edu.my/id/eprint/37409/ PAHs remediation from hazardous waste landfill leachate using fenton, photo � fenton and electro - fenton oxidation processes � performance evaluation under optimized conditions using RSM and ANN Singa, P.K. Isa, M.H. Sivaprakash, B. Ho, Y.-C. Lim, J.-W. Rajamohan, N. Polycyclic aromatic hydrocharbons (PAHs) are a class of highly toxic pollutants that are highly detrimental to the ecosystem. Landfill leechate emanated from municipal solid waste are reported to constitute significant PAHs. In the present investigation, three Fenton proceses, namely conventional Fenton, photo-fenton and electro-fenton methods have been employed to treat landfill leehcate for removing PAHs from a waste dumpig yard. Response surface methodology (RSM) and artificial neural network (ANN) methodologies were adopted to optimize and validate the conditions for optimum oxidative removal of COD and PAHs. The statistical analysis results showed that all independent variables chosen in the study are reported to have significant influence of the removal effects with P-values <0.05. Sensitivity analysis by the developed ANN model showed that the pH had the highest significance of 1.89 in PAH removal when compared to the other parameters. However for COD removal, H2O2 had the highest relative importance of 1.15, followed by Fe2+ and pH. Under optimal treatment conditions, the photo-fenton and electro-fenton processes showed better removal of COD and PAH compared to the Fenton process. The photo-fenton and electro-fenton treatment processes removed 85.32 and 74.64 of COD and 93.25 and 81.65 of PAHs, respectively. Also the investigations revelaed the presence of 16 distinct PAH compunds and the removal percentage of each of these PAHs are also reported. The PAH treatment research studies are generally limited to the assay of removal of PAH and COD levels. In the present investigation, in addition to the treatment of landfill leachate, particle size distribution analysis and elemental characterization of the resultant iron sludge by FESEM and EDX are reported. It was revealed that elemental oxygen is present in highest percentage, followed by iron, sulphur, sodium, chlorine, carbon and potassium. However, iron percentage can be reduced by treating the Fenton-treated sample with NaOH. © 2023 Elsevier Inc. Academic Press Inc. 2023 Article NonPeerReviewed Singa, P.K. and Isa, M.H. and Sivaprakash, B. and Ho, Y.-C. and Lim, J.-W. and Rajamohan, N. (2023) PAHs remediation from hazardous waste landfill leachate using fenton, photo � fenton and electro - fenton oxidation processes � performance evaluation under optimized conditions using RSM and ANN. Environmental Research, 231. ISSN 00139351 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159949482&doi=10.1016%2fj.envres.2023.116191&partnerID=40&md5=5b462b635877ee1dde3b27b2abc08b63 10.1016/j.envres.2023.116191 10.1016/j.envres.2023.116191 10.1016/j.envres.2023.116191
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description Polycyclic aromatic hydrocharbons (PAHs) are a class of highly toxic pollutants that are highly detrimental to the ecosystem. Landfill leechate emanated from municipal solid waste are reported to constitute significant PAHs. In the present investigation, three Fenton proceses, namely conventional Fenton, photo-fenton and electro-fenton methods have been employed to treat landfill leehcate for removing PAHs from a waste dumpig yard. Response surface methodology (RSM) and artificial neural network (ANN) methodologies were adopted to optimize and validate the conditions for optimum oxidative removal of COD and PAHs. The statistical analysis results showed that all independent variables chosen in the study are reported to have significant influence of the removal effects with P-values <0.05. Sensitivity analysis by the developed ANN model showed that the pH had the highest significance of 1.89 in PAH removal when compared to the other parameters. However for COD removal, H2O2 had the highest relative importance of 1.15, followed by Fe2+ and pH. Under optimal treatment conditions, the photo-fenton and electro-fenton processes showed better removal of COD and PAH compared to the Fenton process. The photo-fenton and electro-fenton treatment processes removed 85.32 and 74.64 of COD and 93.25 and 81.65 of PAHs, respectively. Also the investigations revelaed the presence of 16 distinct PAH compunds and the removal percentage of each of these PAHs are also reported. The PAH treatment research studies are generally limited to the assay of removal of PAH and COD levels. In the present investigation, in addition to the treatment of landfill leachate, particle size distribution analysis and elemental characterization of the resultant iron sludge by FESEM and EDX are reported. It was revealed that elemental oxygen is present in highest percentage, followed by iron, sulphur, sodium, chlorine, carbon and potassium. However, iron percentage can be reduced by treating the Fenton-treated sample with NaOH. © 2023 Elsevier Inc.
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author Singa, P.K.
Isa, M.H.
Sivaprakash, B.
Ho, Y.-C.
Lim, J.-W.
Rajamohan, N.
spellingShingle Singa, P.K.
Isa, M.H.
Sivaprakash, B.
Ho, Y.-C.
Lim, J.-W.
Rajamohan, N.
PAHs remediation from hazardous waste landfill leachate using fenton, photo � fenton and electro - fenton oxidation processes � performance evaluation under optimized conditions using RSM and ANN
author_facet Singa, P.K.
Isa, M.H.
Sivaprakash, B.
Ho, Y.-C.
Lim, J.-W.
Rajamohan, N.
author_sort Singa, P.K.
title PAHs remediation from hazardous waste landfill leachate using fenton, photo � fenton and electro - fenton oxidation processes � performance evaluation under optimized conditions using RSM and ANN
title_short PAHs remediation from hazardous waste landfill leachate using fenton, photo � fenton and electro - fenton oxidation processes � performance evaluation under optimized conditions using RSM and ANN
title_full PAHs remediation from hazardous waste landfill leachate using fenton, photo � fenton and electro - fenton oxidation processes � performance evaluation under optimized conditions using RSM and ANN
title_fullStr PAHs remediation from hazardous waste landfill leachate using fenton, photo � fenton and electro - fenton oxidation processes � performance evaluation under optimized conditions using RSM and ANN
title_full_unstemmed PAHs remediation from hazardous waste landfill leachate using fenton, photo � fenton and electro - fenton oxidation processes � performance evaluation under optimized conditions using RSM and ANN
title_sort pahs remediation from hazardous waste landfill leachate using fenton, photo � fenton and electro - fenton oxidation processes � performance evaluation under optimized conditions using rsm and ann
publisher Academic Press Inc.
publishDate 2023
url http://scholars.utp.edu.my/id/eprint/37409/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159949482&doi=10.1016%2fj.envres.2023.116191&partnerID=40&md5=5b462b635877ee1dde3b27b2abc08b63
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