STATISTICAL OPTIMIZATION OF ETTRINGITE PRECIPITATION IN LANDFILL LEACHATE

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dc.authorid0000-0002-6321-0350en_US
dc.contributor.authorAygün, Ahmet
dc.contributor.authorDogan, Selim
dc.contributor.authorArgun, Mehmet Emin
dc.date.accessioned2021-03-20T20:13:08Z
dc.date.available2021-03-20T20:13:08Z
dc.date.issued2018
dc.departmentBTÜ, Mühendislik ve Doğa Bilimleri Fakültesi, Çevre Mühendisliği Bölümüen_US
dc.description.abstractIn the present study, experiments were conducted to optimize sulfate removal efficiency with ettringite precipitation from landfill leachate using Response Surface Methodology (RSM) and Central Composite Design (CCD). The statistical analysis of the results showed that the operating parameters such as molar rates of Ca/SO4 and Al/SO4, and pH had a significant effect on sulfate removal efficiency. Aluminum hydroxide and calcium hydroxide were used for external sources of aluminum and calcium. The goodness of the model was checked by different criteria including the coefficient of determination (R-2 = 0.94), p value (<0.0001), adequate precision (14.78), and coefficient of variance (7.30). The RSM results indicated that the fitted model could be appropriate to predict sulfate removal efficiency. A 55.7% maximum sulfate removal efficiency was obtained at pH 11.95 for 2.29 Ca/SO4 and 0.74 Al/SO4 molar ratios. Sulfate inhibition effects on treatment methods such as the anaerobic process decreased with increasing COD/SO4 ratio from 14:1 to 25:1 by ettringite precipitation.en_US
dc.description.sponsorshipScientific and Technological Research Council of Turkey, TUBITAKTurkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [115Y031]en_US
dc.description.sponsorshipThis study was carried out as pre-experiments of project funded by the The Scientific and Technological Research Council of Turkey, TUBITAK (Grant No.: 115Y031). The authors would like to thank to Huseyin Saglam for pre-experimental data.en_US
dc.identifier.doi10.1590/0104-6632.20180353s20170528en_US
dc.identifier.endpage975en_US
dc.identifier.issn0104-6632
dc.identifier.issn1678-4383
dc.identifier.issue3en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage969en_US
dc.identifier.urihttp://doi.org/10.1590/0104-6632.20180353s20170528
dc.identifier.urihttps://hdl.handle.net/20.500.12885/799
dc.identifier.volume35en_US
dc.identifier.wosWOS:000456271000012en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorAygün, Ahmet
dc.language.isoenen_US
dc.publisherBrazilian Soc Chemical Engen_US
dc.relation.ispartofBrazilian Journal Of Chemical Engineeringen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectEttringite Precipitationen_US
dc.subjectLandfillen_US
dc.subjectLeachateen_US
dc.subjectResponse Surface Methodology (RSM)en_US
dc.subjectSulphate Removalen_US
dc.titleSTATISTICAL OPTIMIZATION OF ETTRINGITE PRECIPITATION IN LANDFILL LEACHATEen_US
dc.typeArticleen_US

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