Ozer CINAR
@avesis.yildiz.edu.tr
Dept. of Environmental Engineering
Yildiz Technical University
Dedicated and accomplished Environmental Engineering professional with a Ph.D. in Environmental
Engineering & Science from Clemson University and a strong focus on Biological Process Engineering. I
bring over 25 years of pedagogical expertise, having served as a Professor at Yildiz Technical University
and as Rector and Professor at the International University of Sarajevo. My research endeavors include
serving as Project Coordinator for various investigations, such as the treatment of innovative technologies
in dye-containing wastewater and the biodegradation of aromatic compounds under mixed electron
acceptor conditions. I have published extensively in prestigious journals and am well-versed in areas like
membrane bioreactors, biodegradation of emerging pharmaceuticals, and treatment of textile industry
wastewater. My career statement reflects a commitment to sustainable development, green energy, and
environmental engineering. I have a proven track record as a Co-Principal Investiga
EDUCATION
MSc, Environmental Engineering and Science, 3.88
Clemson University, Clemson, SC, USA
August 1994 - May 2002
PhD, Environmental Engineering and Science, 3.90
Clemson University, Clemson, SC, USA
August 1996 - May 2002
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Abdullah Kizilet, Adem Yurtsever, Kevser Cirik, and Ozer Cinar
Elsevier BV
Raghad Asad Kadhim ALOBAIDI, Kubra ULUCAN-ALTUNTAS, Rasha Khalid Sabri MHEMID, Neslihan MANAV-DEMIR, and Ozer CINAR
MDPI AG
Although conventional biological treatment plants can remove basic pollutants, they are ineffective at removing recalcitrant pollutants. Membrane bioreactors contain promising technology and have the advantages of better effluent quality and lower sludge production compared to those of conventional biological treatment processes. In this study, the removal of pharmaceutical compounds by membrane bioreactors under different solid retention times (SRTs) was investigated. To study the effect of SRT on the removal of emerging pharmaceuticals, the levels of pharmaceuticals were measured over 96 days for the following retention times: 20, 30, and 40-day SRT. It was found that the 40-day SRT had the optimum performance in terms of the pharmaceuticals’ elimination. The removal efficiencies of the chemical oxygen demand (COD) for each selected SRT were higher than 96% at steady-state conditions. The highest degradation efficiency was observed for paracetamol. Paracetamol was the most removed compound followed by ranitidine, atenolol, bezafibrate, diclofenac, and carbamazepine. The microbial community at the phylum level was also analyzed to understand the biodegradability of pharmaceuticals. It was noticed that the Proteobacteria phylum increased from 46.8% to 60.0% after 96 days with the pharmaceuticals. The Actinobacteria class, which can metabolize paracetamol, carbamazepine, and atenolol, was also increased from 9.1% to 17.9% after adding pharmaceuticals. The by-products of diclofenac, bezafibrate, and carbamazepine were observed in the effluent samples.
Adem Yurtsever, Erkan Sahinkaya, and Özer Çınar
Elsevier BV
Erkan Sahinkaya, Adem Yurtsever, and Özer Çınar
Elsevier BV
Adem Yurtsever, Özer Çınar, and Erkan Sahinkaya
Elsevier BV
Adem Yurtsever, Beste Calimlioglu, Mesut Görür, Özer Çınar, and Erkan Sahinkaya
Elsevier BV
Adem Yurtsever, Erkan Sahinkaya, Özgür Aktaş, Deniz Uçar, Özer Çınar, and Zhiwei Wang
Elsevier BV
Dilek Akman, Kevser Cirik, Ozer Cinar, and Ilker Akman
IEEE
The aim of this study is to investigate the aerobic methane oxidation (AME), a process potentially useful for wastewaters treatment using methane as external electron donor in membrane biofilm reactor (MBfR). MBfR was operated at different O2:CH4 ratios (0.25-1) to provide optimum reactor conditions for denitrification which will be held in subsequent studies. According to our results, none of the dissolved organic metabolites or methanol was detected by analytical techniques during methane oxidation studies. However, study findings played a key role in selecting the suitable environmental conditions for denitrification. The O2:CH4 ratio of 0.35 was found optimum reactor conditions providing safety gas mixtures and non-methane containing gas outlet hence without methane losses to the atmosphere.
Abdullah Kizilet, Dilek Akman, Vildan Akgul, Kevser Cirik, and Ozer Cinar
IEEE
The aim of this study is to investigate bioelectricity generation using a dual chambered biocathode microbial fuel cell (MFC). In this study, the effect of cathode influent nitrate concentration was investigated on power generation and wastewater treatment performance. Acetate was used as readily biodegradable carbon and electron donor source for microorganisms into anodic chamber, corresponding to 1000 mg/L influent COD. The biocathode MFC performance was evaluated for around 75 days following 360 days microorganism adaptation period. COD removal efficiency was 75% and slightly affected from the varying influent nitrate concentrations. However, autotrophic denitrification efficiency was adversely affected by increasing influent nitrate concentration and the maximum nitrate removal efficiency of around 70% was observed at the influent nitrate concentration of 50 mgNO-3/L. Additionally, the increasing nitrate concentration from 25 to 50 mg/L resulted in increasing the power density which approached to around 4 W/m2.
Arzu Kilic, Erkan Sahinkaya, and Ozer Cinar
Informa UK Limited
Kinetics of sulphur–limestone autotrophic denitrification process in batch assays and the impact of sulphur/limestone ratio on the process performance in long-term operated packed-bed bioreactors were evaluated. The specific nitrate and nitrite reduction rates increased almost linearly with the increasing initial nitrate and nitrite concentrations, respectively. The process performance was evaluated in three parallel packed-bed bioreactors filled with different sulphur/limestone ratios (1:1, 2:1 and 3:1, v/v). Performances of the bioreactors were studied under varying nitrate loadings and hydraulic retention times (3–12 h). The maximum nitrate reduction rate of 0.66 g L−1 d−1 was observed at the loading rate of in the reactor with sulphur/limestone ratio of 3:1. Throughout the study, nitrite concentrations remained quite low (i.e. below 0.5 mg L−1 . The reactor performance increased in the order of sulphur/limestone ratio of 3:1, 2:1 and 1:1. Denaturing gradient gel electrophoresis analysis of 16S rRNA genes showed quite stable communities in the reactors with the presence of Methylo virgulaligni, Sulfurimonas autotrophica, Sulfurovum lithotrophicum, Thiobacillus aquaesulis and Sulfurimonas autotrophica related species.
Sebnem Ozdemir, Dilek Akman, Kevser Cirik, and Ozer Cinar
Springer Science and Business Media LLC
Kevser Cirik, Mehmet Kitis, and Ozer Cinar
Springer Science and Business Media LLC
Dilek Akman, Kevser Cirik, Sebnem Ozdemir, Bestamin Ozkaya, and Ozer Cinar
Elsevier BV
Sebnem Ozdemir, Kevser Cirik, Dilek Akman, Erkan Sahinkaya, and Ozer Cinar
Elsevier BV
Kevser Cirik, Nesrin Dursun, Erkan Sahinkaya, and Özer Çinar
Elsevier BV
Kevser Cirik, Mehmet Kitiş, and Özer Çinar
Springer Science and Business Media LLC
Semra Yaşar, Kevser Cirik, and Özer Çinar
Springer Science and Business Media LLC
Erkan Sahinkaya, Nesrin Dursun, Adem Kilic, Sevgi Demirel, Sinan Uyanik, and Ozer Cinar
Elsevier BV
Nevzat O. Yigit, Gokhan Civelekoglu, Ozer Cinar, and Mehmet Kitis
IWA Publishing
The main objective of this work was to investigate the filterability of MBR sludge and its mixture with conventional activated sludge (CAS). In addition, the impacts of type and dose of various polyelectrolytes, filter type and sludge properties on the filterability of both MBR and Mixed sludges were determined. Specific cake resistance (SCR) measured by the Buchner funnel filtration test apparatus and the solids content of the resulting sludge cake were used to assess the dewaterability of tested sludges. The type of filter paper used in Buchner tests affected the results of filterability for MBR, CAS and Mixed sludges. SCR values and optimum polyelectrolyte doses increased with increasing MLSS concentrations in the MBR, which suggested that increase in MLSS concentrations accompanied by increases in EPS and SMP concentrations and a shift toward smaller particles caused poorer dewaterability of the MBR sludge. The significant differences observed among the filterability of CAS and MBR sludges suggested that MLSS alone is not a good predictor of sludge dewaterability. Combining CAS and MBR sludges at different proportions generally improved their dewaterability. Combining MBR sludges having typically high MLSS and EPS concentrations with CAS having much lower MLSS concentrations may be an option for full-scale treatment plants experiencing sludge dewaterability problems. Better filterability and higher cake dry solids were achieved with cationic polyelectrolytes compared to anionic and non-ionic ones for all sludge types tested.
Ozer Cinar and Hasan Merdun
OAIMDD - EcoZone Publishing House
Artificial neural networks (ANNs) are capable of learning the relationships between the dependent and predictor surface water quality variables and have a high ability to predict from the new data set. In this study, two different ANN methods, the feedforward network (FFN) and the cascadeforward network (CFN) were applied to predict two surface water quality variables such as chlorophyll-a (Chl-a) and fecal coliform (FC) using twelve other variables as an input to the models. Both methods, for developing and training the ANN, are multilayer, leading to the same architecture of the feedforward neural network trained by back-propagation learning algorithm. The networks were supplied with two subsets of water quality data, with two-thirds being used for training and one-third for testing the performance of the networks, after pre-processing of the data set (110 samples) by normalization and moving average techniques. The performances of both ANN methods were evaluated visually by plotting and quantitatively by using five statistical parameters. The training procedures of both ANN methods for Chl-a and FC were very successful and a perfect match was obtained between the measured and predicted values with the correlation coefficient (R) of 1.00. The testing or prediction results also produced good agreements with the measured data of Chl-a and FC in terms of R values of 0.83, 0.93 (for FFN), and 0.89, 0.91 (for CFN), respectively. Results of this study show that ANN methods are able to predict Chl-a and FC with reasonable accuracy, suggesting that ANN is a valuable and powerful tool for surface water quality modeling and management.
Halil Hasar, Sezahat A. Unsal, Ubeyde Ipek, Serdar Karatas, Ozer Cınar, Cevat Yaman, and Cumali Kınacı
Elsevier BV
Özer Çinar, Kevser Demiröz, Gamze Kanat, Yagmur Uysal, and Cevat Yaman
Wiley
AbstractIn this study, various amounts of oxygen were added to the anaerobic phase of an anaerobic‐aerobic sequencing batch reactor (SBR) receiving azo dye remazol brilliant violet 5R to mimic the input of oxygen into the anaerobic zones of biological textile wastewater treatment plants. The effect of oxygen on the anaerobic biodegradative capability of the mixed microbial culture for remazol brilliant violet 5R was investigated. To investigate the effect of oxygen on anaerobic azo dye biodegradation, the anaerobic phase of the SBR cultures were exposed to a very low limited amount of oxygen for various air flow rates. Initially, an air flow rate of 20 mL/min was applied, further on the air flow rate in the anaerobic phase was increased up to 40 mL/min. System performance was determined by monitoring chemical oxygen demand, color removal rate, activities of anaerobic (azo reductase) and aerobic enzymes (catechol 2,3‐dioxygenase, catechol 1,2‐dioxygenase). The results of percentage COD reduction at each stage were similar for all runs, giving an overall reduction of 96%. Anaerobic color removal efficiency and azo reductase activity of anaerobic microorganisms were adversely affected by the addition of oxygen. Color removal efficiencies of the anaerobic phases decreased from 80% down to 42 and 38% for the limited oxygen conditions of 20 mL/min and 40 mL/min, respectively. It was observed that the activity of catechol 2,3‐dioxygenase and catechol 1,2‐dioxygenase, involved in breakage of aromatic rings, increased after they are exposed to oxygen limited conditions compared to fully anaerobic conditions. It was also observed that catechol 1,2‐dioxygenase enzyme activity increased by increasing the oxygen level on oxygen limited conditions in the anaerobic zone.