Bilge Özbay
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Bilge Özbay has a total of 15 co-authors. Here are the top co-authors by number of shared publications:
- Fatma Ece Sayin
Department of Environmental Engineering, Kocaeli University, Izmit, Kocaeli, Turkey
5 shared publications - Ismail Ozbay
Department of Environmental Engineering, Kocaeli University, Izmit, Kocaeli, Turkey
5 shared publications - Baris Calli
Department of Environmental Engineering, Marmara University, Istanbul, Turkey
3 shared publications - Recep Kaya Göktaş
Department of Environmental Engineering, Kocaeli University, Izmit, Kocaeli, Turkey
3 shared publications Savaş Ayberk
Department of Environmental Engineering, Kocaeli University, 41380 Kocaeli, Turkey
2 shared publications- Şenay Çetin Doğruparmak
Department of Environmental Engineering, Faculty of Engineering, Kocaeli University, Kocaeli, Turkey
2 shared publications
Latest Publications
- 3 February 2026
- Published by Elsevier in Waste Management
- Vol. 213, 115373
Reliable prediction of biodrying efficiency using interactive regression models
- 3 February 2026
- Published by Elsevier in Waste Management
- Vol. 213, 115373
Reliable prediction of biodrying efficiency using interactive regression models
- 11 December 2025
- Published by Springer Nature in Water, Air, & Soil Pollution
- Vol. 237 (4) , 203
Towards Sustainable MSW via Biodrying: Enhancing Biodegradability of High Moisture Kitchen Wastes
- 11 December 2025
- Published by Springer Nature in Water, Air, & Soil Pollution
- Vol. 237 (4) , 203
Towards Sustainable MSW via Biodrying: Enhancing Biodegradability of High Moisture Kitchen Wastes
- 11 September 2025
- Published by Taylor & Francis in Energy Sources, Part A: Recovery, Utilization, and Environmental Effects
- Vol. 47 (2)
A realistic performance assessment for pilot-scale biodrying application: AHP-PROMETHEE approach
- 11 September 2025
- Published by Taylor & Francis in Energy Sources, Part A: Recovery, Utilization, and Environmental Effects
- Vol. 47 (2)
A realistic performance assessment for pilot-scale biodrying application: AHP-PROMETHEE approach
- 10 December 2024
- Published by Springer Nature in International Journal of Environmental Science and Technology
- Vol. 22 (10) , 9021-9032
Combination of electrocoagulation and electrooxidation processes for treatment of real wood processing effluents
- 10 December 2024
- Published by Springer Nature in International Journal of Environmental Science and Technology
- Vol. 22 (10) , 9021-9032
Combination of electrocoagulation and electrooxidation processes for treatment of real wood processing effluents
- 22 July 2021
- Published by Wiley in Environmental Progress & Sustainable Energy
- Vol. 41 (1)
Biodrying for fuel recovery from sewage sludge: An integrated evaluation by ultimate and proximate analyses
This study investigates the utilization of the biodrying process, which is an eco‐friendly approach for sewage sludge management to produce a fuel‐like product. Biodrying tests were conducted for six trials containing different amounts of bulking agents (straw and sawdust). Higher volatile matter removal was achieved for trials with sawdust as a result of better porosity conditions. Consequently, biodrying indexes were higher for straw containing trials (7.73–30.85) with straw than those trails with sawdust (6.94–13.99). Trials with straw resulted in biodried materials with lower moisture content and higher calorific value due to lower water holding capacity of straw. However, sawdust provided better fuel quality due to the higher bulk density of the product. Thus, fuel value indexes determined for trials with sawdust (81.62–152.17) were remarkably higher than those of trials with straw (16.02–68.97). Furthermore, biomass characterization indexes (>25.000) indicated that products with sawdust can be used as promising alternatives to biomass such as wood chips and wood chunks in combustion facilities.
- 22 July 2021
- Published by Wiley in Environmental Progress & Sustainable Energy
- Vol. 41 (1)
Biodrying for fuel recovery from sewage sludge: An integrated evaluation by ultimate and proximate analyses
This study investigates the utilization of the biodrying process, which is an eco‐friendly approach for sewage sludge management to produce a fuel‐like product. Biodrying tests were conducted for six trials containing different amounts of bulking agents (straw and sawdust). Higher volatile matter removal was achieved for trials with sawdust as a result of better porosity conditions. Consequently, biodrying indexes were higher for straw containing trials (7.73–30.85) with straw than those trails with sawdust (6.94–13.99). Trials with straw resulted in biodried materials with lower moisture content and higher calorific value due to lower water holding capacity of straw. However, sawdust provided better fuel quality due to the higher bulk density of the product. Thus, fuel value indexes determined for trials with sawdust (81.62–152.17) were remarkably higher than those of trials with straw (16.02–68.97). Furthermore, biomass characterization indexes (>25.000) indicated that products with sawdust can be used as promising alternatives to biomass such as wood chips and wood chunks in combustion facilities.
- 4 March 2021
- Published by Taylor & Francis in Environmental Forensics
- Vol. 23 (1-2) , 198-207
Impact of Covid-19 lock-down period on variations of air pollutants around an industrialized city of Turkey, Izmit
The objective of this study was to investigate the variations and correlations of the air pollutants during Covid-19 pandemic lock-down period for an industrialized city of Turkey. With this aim, air quality data measured at four different stations in the period March–June 2020 were used. Results of the study demonstrated that lock-down period caused significant decreases in pollution levels in urban, industrialized, and rural sites. In the city center (Station 2), reduction determined for PM10 and NOx levels were 32.95% and 58.26%, respectively whereas in the industrialized site (Station 3) decrease ratios of these pollutants were 17.11% and 47.87%, respectively. Obtained reduction ratios may indicate that industrial and traffic activities have more significant contributions to NOx emissions in the region. A strong positive correlation between CO and NOx (r = 0.87) may also be evidence for traffic-related pollution in the city center while positively correlated NOx and SO2 levels indicate the importance of point sources for Stations 1 and 3. Coherent with the literature, O3 emissions showed increasing tendency both in moderately industrialized (Station 1) and rural sites (Station 4). When average concentrations of the pollutants were compared for May 2019 and May 2020 periods, the most significant variation was noted for the industrialized region with 50.07% reduction in NOx values.
- 4 March 2021
- Published by Taylor & Francis in Environmental Forensics
- Vol. 23 (1-2) , 198-207
Impact of Covid-19 lock-down period on variations of air pollutants around an industrialized city of Turkey, Izmit
The objective of this study was to investigate the variations and correlations of the air pollutants during Covid-19 pandemic lock-down period for an industrialized city of Turkey. With this aim, air quality data measured at four different stations in the period March–June 2020 were used. Results of the study demonstrated that lock-down period caused significant decreases in pollution levels in urban, industrialized, and rural sites. In the city center (Station 2), reduction determined for PM10 and NOx levels were 32.95% and 58.26%, respectively whereas in the industrialized site (Station 3) decrease ratios of these pollutants were 17.11% and 47.87%, respectively. Obtained reduction ratios may indicate that industrial and traffic activities have more significant contributions to NOx emissions in the region. A strong positive correlation between CO and NOx (r = 0.87) may also be evidence for traffic-related pollution in the city center while positively correlated NOx and SO2 levels indicate the importance of point sources for Stations 1 and 3. Coherent with the literature, O3 emissions showed increasing tendency both in moderately industrialized (Station 1) and rural sites (Station 4). When average concentrations of the pollutants were compared for May 2019 and May 2020 periods, the most significant variation was noted for the industrialized region with 50.07% reduction in NOx values.
- 19 June 2014
- Published by Elsevier in Desalination and Water Treatment
- Vol. 55 (8) , 2183-2195
Multilayer perceptrons and conventional biosorption equations for modeling removal of Ni(II) by terrestrial moss
In this study, multilayer perceptrons (MLPs) and conventional isotherm equations were used to model bisorption of nickel using terrestrial moss. Characterization of the biosorbent was examined by scanning electron microscopy and Fourier transform infrared spectroscopy analyses. Batch biosorption tests were performed to examine the impacts of different experimental conditions. Thermodynamic calculations were made to evaluate the feasibility of the biosorption. All of the experimental data (total 86 data-sets) were used for MLP modeling purposes whereas equilibrium data were used in Langmuir, Freundlich, and Temkin models. Adsorption kinetic data were tested using pseudo-first-order and second-order kinetic models. Performances of the models were evaluated considering calculated R2 and mean standard error (MSE) values. Related isotherm and kinetic parameters were also calculated for conventional biosorption equations. In multilayer perceptron (MLP) modeling studies, network architecture with three hidden layers provided highest prediction efficiency. Although both MLPs and conventional models are regarded to be useful, perceptron models are thought to provide more representative information as all factors are evaluated simultaneously.
- 19 June 2014
- Published by Elsevier in Desalination and Water Treatment
- Vol. 55 (8) , 2183-2195
Multilayer perceptrons and conventional biosorption equations for modeling removal of Ni(II) by terrestrial moss
In this study, multilayer perceptrons (MLPs) and conventional isotherm equations were used to model bisorption of nickel using terrestrial moss. Characterization of the biosorbent was examined by scanning electron microscopy and Fourier transform infrared spectroscopy analyses. Batch biosorption tests were performed to examine the impacts of different experimental conditions. Thermodynamic calculations were made to evaluate the feasibility of the biosorption. All of the experimental data (total 86 data-sets) were used for MLP modeling purposes whereas equilibrium data were used in Langmuir, Freundlich, and Temkin models. Adsorption kinetic data were tested using pseudo-first-order and second-order kinetic models. Performances of the models were evaluated considering calculated R2 and mean standard error (MSE) values. Related isotherm and kinetic parameters were also calculated for conventional biosorption equations. In multilayer perceptron (MLP) modeling studies, network architecture with three hidden layers provided highest prediction efficiency. Although both MLPs and conventional models are regarded to be useful, perceptron models are thought to provide more representative information as all factors are evaluated simultaneously.
- 16 February 2012
- Published by Wiley in CLEAN – Soil, Air, Water
- Vol. 40 (6) , 571-577
Modeling the Effects of Meteorological Factors on SO2 and PM10 Concentrations with Statistical Approaches
- 16 February 2012
- Published by Wiley in CLEAN – Soil, Air, Water
- Vol. 40 (6) , 571-577
Modeling the Effects of Meteorological Factors on SO2 and PM10 Concentrations with Statistical Approaches
- 1 July 2011
- Published by Elsevier in Ecological Informatics
- Vol. 6 (3-4) , 242-247
Predicting tropospheric ozone concentrations in different temporal scales by using multilayer perceptron models
- 1 July 2011
- Published by Elsevier in Ecological Informatics
- Vol. 6 (3-4) , 242-247
Predicting tropospheric ozone concentrations in different temporal scales by using multilayer perceptron models