Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/195
Title: STATISTICAL OPTIMIZATION OF ETTRINGITE PRECIPITATION IN LANDFILL LEACHATE
Authors: Aygün, Ahmet
Doğan, Selim
Argun, Mehmet Emin
Keywords: Ettringite Precipitation
Landfill
Leachate
Response Surface Methodology (Rsm)
Sulphate Removal
Response-Surface Methodology
Sulfate-Reducers
Waste-Water
Start-Up
Removal
Oxidation
Methanogens
Aluminum
Issue Date: 2018
Publisher: BRAZILIAN SOC CHEMICAL ENG
Abstract: In 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.
URI: https://doi.org/10.1590/0104-6632.20180353s20170528
https://hdl.handle.net/20.500.13091/195
ISSN: 0104-6632
1678-4383
Appears in Collections:Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections

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