Determination of Biological Treatability Processes of Textile Wastewater and Implementation of a Fuzzy Logic Model

This study investigated the biological treatability of textile wastewater. For this purpose, a membrane bioreactor (MBR) was utilized for biological treatment after the ozonation process. Due to the refractory organic contents of textile wastewater that has a low biodegradability capacity, ozonation...

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Main Authors: Harun Akif Kabuk, Yasar Avsar, S. Levent Kuzu, Fatih Ilhan, Kubra Ulucan
Format: Article
Language:English
Published: Wiley 2015-01-01
Series:International Journal of Photoenergy
Online Access:http://dx.doi.org/10.1155/2015/716853
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author Harun Akif Kabuk
Yasar Avsar
S. Levent Kuzu
Fatih Ilhan
Kubra Ulucan
author_facet Harun Akif Kabuk
Yasar Avsar
S. Levent Kuzu
Fatih Ilhan
Kubra Ulucan
author_sort Harun Akif Kabuk
collection DOAJ
description This study investigated the biological treatability of textile wastewater. For this purpose, a membrane bioreactor (MBR) was utilized for biological treatment after the ozonation process. Due to the refractory organic contents of textile wastewater that has a low biodegradability capacity, ozonation was implemented as an advanced oxidation process prior to the MBR system to increase the biodegradability of the wastewater. Textile wastewater, oxidized by ozonation, was fed to the MBR at different hydraulic retention times (HRT). During the process, color, chemical oxygen demand (COD), and biochemical oxygen demand (BOD) removal efficiencies were monitored for 24-hour, 12-hour, 6-hour, and 3-hour retention times. Under these conditions, 94% color, 65% COD, and 55% BOD removal efficiencies were obtained in the MBR system. The experimental outputs were modeled with multiple linear regressions (MLR) and fuzzy logic. MLR results suggested that color removal is more related to COD removal relative to BOD removal. A surface map of this issue was prepared with a fuzzy logic model. Furthermore, fuzzy logic was employed to the whole modeling of the biological system treatment. Determination coefficients for COD, BOD, and color removal efficiencies were 0.96, 0.97, and 0.92, respectively.
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issn 1110-662X
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publishDate 2015-01-01
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series International Journal of Photoenergy
spelling doaj-art-43a5f89466fc4ddaa7b776520c8a0ece2025-02-03T01:21:25ZengWileyInternational Journal of Photoenergy1110-662X1687-529X2015-01-01201510.1155/2015/716853716853Determination of Biological Treatability Processes of Textile Wastewater and Implementation of a Fuzzy Logic ModelHarun Akif Kabuk0Yasar Avsar1S. Levent Kuzu2Fatih Ilhan3Kubra Ulucan4Environmental Engineering Department, Yildiz Technical University, Davutpasa Campus, Esenler, 34220 Istanbul, TurkeyEnvironmental Engineering Department, Yildiz Technical University, Davutpasa Campus, Esenler, 34220 Istanbul, TurkeyEnvironmental Engineering Department, Yildiz Technical University, Davutpasa Campus, Esenler, 34220 Istanbul, TurkeyEnvironmental Engineering Department, Yildiz Technical University, Davutpasa Campus, Esenler, 34220 Istanbul, TurkeyEnvironmental Engineering Department, Yildiz Technical University, Davutpasa Campus, Esenler, 34220 Istanbul, TurkeyThis study investigated the biological treatability of textile wastewater. For this purpose, a membrane bioreactor (MBR) was utilized for biological treatment after the ozonation process. Due to the refractory organic contents of textile wastewater that has a low biodegradability capacity, ozonation was implemented as an advanced oxidation process prior to the MBR system to increase the biodegradability of the wastewater. Textile wastewater, oxidized by ozonation, was fed to the MBR at different hydraulic retention times (HRT). During the process, color, chemical oxygen demand (COD), and biochemical oxygen demand (BOD) removal efficiencies were monitored for 24-hour, 12-hour, 6-hour, and 3-hour retention times. Under these conditions, 94% color, 65% COD, and 55% BOD removal efficiencies were obtained in the MBR system. The experimental outputs were modeled with multiple linear regressions (MLR) and fuzzy logic. MLR results suggested that color removal is more related to COD removal relative to BOD removal. A surface map of this issue was prepared with a fuzzy logic model. Furthermore, fuzzy logic was employed to the whole modeling of the biological system treatment. Determination coefficients for COD, BOD, and color removal efficiencies were 0.96, 0.97, and 0.92, respectively.http://dx.doi.org/10.1155/2015/716853
spellingShingle Harun Akif Kabuk
Yasar Avsar
S. Levent Kuzu
Fatih Ilhan
Kubra Ulucan
Determination of Biological Treatability Processes of Textile Wastewater and Implementation of a Fuzzy Logic Model
International Journal of Photoenergy
title Determination of Biological Treatability Processes of Textile Wastewater and Implementation of a Fuzzy Logic Model
title_full Determination of Biological Treatability Processes of Textile Wastewater and Implementation of a Fuzzy Logic Model
title_fullStr Determination of Biological Treatability Processes of Textile Wastewater and Implementation of a Fuzzy Logic Model
title_full_unstemmed Determination of Biological Treatability Processes of Textile Wastewater and Implementation of a Fuzzy Logic Model
title_short Determination of Biological Treatability Processes of Textile Wastewater and Implementation of a Fuzzy Logic Model
title_sort determination of biological treatability processes of textile wastewater and implementation of a fuzzy logic model
url http://dx.doi.org/10.1155/2015/716853
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