Evaluation of landfill leachate treatment system using multivariate analysis

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dc.authoridAyash, Muneer/0009-0000-6189-3525
dc.authoridZulkifli, Muzafar/0000-0002-1423-1075
dc.contributor.authorAyash, Muneer M. A.
dc.contributor.authorAbu Amr, Salem S.
dc.contributor.authorAlkarkhi, Abbas F. M.
dc.contributor.authorZulkifli, Muzafar
dc.contributor.authorMahmud, M. N.
dc.date.accessioned2024-09-29T16:09:36Z
dc.date.available2024-09-29T16:09:36Z
dc.date.issued2021
dc.departmentKarabük Üniversitesien_US
dc.description.abstractIn this study, selected physicochemical and heavy metal concentrations were identified and analyzed in leachate samples. The leachate samples were collected at four different stages namely; raw equalization pond (EqP), dissolved air floatation combined with coagulation ( DAF1/coagulation), sequencing batch reactor (SBR), and dissolved air floatation combined with coagulation (DAF2/coagulation). For each stage, 19 parameters were tested covering 12 physiochemical parameters including pH, dissolved oxygen (DO), biochemical oxygen demand (BOD5), chemical oxygen demand (COD), color, ammonical nitrogen (NH3-N), total suspended solids (TSS), total dissolved solids (TDS), electrical conductivity (EC), total concentrations of sodium (Na), magnesium (Mg), and calcium (Ca) as well as the total concentrations of seven heavy metals involving iron (Fe), copper (Cu), cadmium (Cd), lead (Pb), manganese (Mn), nickel (Ni), and zinc (Zn). Identifying the characteristics of the four leachate samples from each stage was aided with three different statistical methods consisting of descriptive, factor, and cluster analyses. The results of factor analysis showed that 95.34% of the total variation in the selected parameters was explained by two factors and identified as the responsible factors. Cluster analysis exhibited that the four ponds entirely have different properties (EqP, DAF1, SBR, and DAF2). This study helps to evaluate and comprehend the behavior of the designated parameters and better understand their relationships with one another for more efficient, practical, and productive landfill leachate treatment and management.en_US
dc.description.sponsorshipFRGS Research grant Scheme by the ministry of science and technology and Innovation (MOSTI), Malaysia [FRGS/1/2019/SSI12/UNIKL/02/1]en_US
dc.description.sponsorshipThis work was supported by the FRGS Research grant Scheme (Ref: FRGS/1/2019/SSI12/UNIKL/02/1), distributed by the ministry of science and technology and Innovation (MOSTI), Malaysia, to the university Kuala Lumpur.en_US
dc.identifier.doi10.5004/dwt.2021.27378
dc.identifier.endpage205en_US
dc.identifier.issn1944-3994
dc.identifier.issn1944-3986
dc.identifier.scopus2-s2.0-85112258827en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage194en_US
dc.identifier.urihttps://doi.org/10.5004/dwt.2021.27378
dc.identifier.urihttps://hdl.handle.net/20.500.14619/7669
dc.identifier.volume229en_US
dc.identifier.wosWOS:000677855500017en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherDesalination Publen_US
dc.relation.ispartofDesalination and Water Treatmenten_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectPhysicochemicalen_US
dc.subjectHeavy metalen_US
dc.subjectLeachateen_US
dc.subjectFactor analysisen_US
dc.subjectCluster analysisen_US
dc.titleEvaluation of landfill leachate treatment system using multivariate analysisen_US
dc.typeArticleen_US

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