Kinetic evaluation of organic matter removal in olive mill wastewater treatment using microfiltration membrane Zeytinyağı endüstrisi atıksuyunu arıtan mikrofiltrasyon membran sisteminde organik madde gideriminin kinetik değerlendirilmesi

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Journal of the Faculty of Engineering and Architecture of Gazi University, vol.39, no.1, pp.287-298, 2023 (SCI-Expanded) identifier

  • Publication Type: Article / Article
  • Volume: 39 Issue: 1
  • Publication Date: 2023
  • Doi Number: 10.17341/gazimmfd.1041320
  • Journal Name: Journal of the Faculty of Engineering and Architecture of Gazi University
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Art Source, Compendex, TR DİZİN (ULAKBİM)
  • Page Numbers: pp.287-298
  • Keywords: Kinetic model, Microfiltration, Olive oil industry wastewater, Organic matter
  • Dokuz Eylül University Affiliated: Yes


In this study, a laboratory scale microfiltration system was operated at flow rate of 100, 150, 200 L/h, pressure of 1 bar, and four different microfiltration times (MFT) of 30, 60, 90, and 120 minutes. The microfiltration system was fed with olive mill wastewater consisting of a Chemical Oxygen Demand (COD) concentration of 120 g/L. The results of microfiltration experiments were analyzed using the Modified Stover-Kincannon model, the Second-Order Kinetic model, the First-Order Kinetic model, and the applied models were found to be suitable for the experimental data. The constants, Umax and KB, of the Stover-Kincannon model produced values were 39.370- 46.948 g/L.min and 80.114-96.883 g/L.min, respectively. The constants, b and a, of the Second-Order Kinetic model produced values of 2.0349-2.0807 and 2.5546-3.0527 1/min, respectively. Meanwhile, the average second-order COD removal rate, ks(2), was 39.3095-46.9741 1/min. In the First Order Kinetics model, the first-order COD removal rate constant, k1 was in the range of 0.8868-0.5286 1/min. These models give high correlation coefficients (R2 = 100–97%) and these indicate that these applied models can be used in microfiltration system design and therefore predict the behavior of the membrane.