Browsing by Author "Aladag, Erdinc"

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Adsorption of Methyl Violet Dye a Textile Industry Effluent Onto Montmorillonite-Batch Study
(Taylor & Francis inc, 2014) Aladag, Erdinc; Fil, Baybars Ali; Boncukcuoglu, Recep; Sozudogru, Onur; Yilmaz, Alper Erdem
In this study, methyl violet (MV) dye adsorption from synthetically prepared solutions onto montmorillonite was investigated. Experimental parameters were selected as stirring speed, adsorbent dosage, initial dyestuff concentration, initial solution pH, ionic strength, and temperature. It was determined that adsorption rate increased with increased stirring speed, initial dye concentration, solution pH, ionic strength, and temperature, but decreased with increased adsorbent dosage. The experimental data were analyzed by Langmuir, Freundlich, Temkin, and Dubinin-Radushkevich isotherms, and it was found that the isotherm data were reasonably correlated by Langmuir isotherm. Maximum adsorption capacity of montmorillonite for MV dye was calculated as 230.04 mg g(-1). Pseudo-first-order, pseudo-second-order, Elovich, and intraparticle particle diffusion models were used to fit the experimental data. Pseudo-second-order rate equation provided realistic description of adsorption kinetics. Thermodynamic parameters were calculated as 62.14 kJ mol(-1), 59.55 kJ mol(-1), 51.98 kJ mol(-1), and 0.0242 kJ mol(-1) K-1 for Ea, Delta H*, Delta G*, and Delta S* at 293 K, respectively. The value of the calculated parameters indicated that the physical adsorption of MV on the clay was dominant and the adsorption process was also endothermic. The positive values of Delta S degrees suggest the increased randomness. The positive Delta G degrees value indicated the un-spontaneous nature of the adsorption model.
Adsorptive Removal of Cationic (By2) Dye From Aqueous Solutions Onto Turkish Clay: Isotherm, Kinetic, and Thermodynamic Analysis
(Taylor & Francis inc, 2016) Sozudogru, Onur; Fil, Baybars Ali; Boncukcuoglu, Recep; Aladag, Erdinc; Kul, Sinan
The removal of Basic Yellow 2 (BY2), a cationic dye, from aqueous solution by using montmorillonite as adsorbent was studied in batch experiments. The effect of pH, agitation speed, adsorbent dosage, initial dye concentration ionic strength, and temperature on the removal of BY2 was also investigated. Langmuir, Freundlich, Temkin, and Dubinin-Radushkevich isotherms were applied to fit the adsorption data of BY2 dye. Equilibrium data were well described by the typical Langmuir adsorption isotherm. The maximum monolayer adsorption capacity was calculated as 434.196 mg g(-1) from the Langmuir isotherm model. The adsorption data was fitted to both the pseudo-first-order, pseudo-second-order, Elovich, and intraparticle kinetic models, and the calculated values of the amount adsorbed at equilibrium (q(e)) by pseudo-second-order equations were found to be in good agreement with the experimental values. The thermodynamic factors were also evaluated. The entropy change (Delta S*) was negative, suggesting that the adsorption process decreases in entropy and enthalpy change (Delta H*) was positive which indicates endothermic nature. The positive Delta G* value confirms the un-spontaneity of the process. In addition, a semiempirical model was calculated from kinetic data.
Comparison of Cationic Dyes (Basic Orange 2, Basic Yellow 2 and Basic Violet 3) Removal From Aqueous Solution Using Clay as an Adsorbent
(Parlar Scientific Publications (p S P), 2019) Farizoglu, Burhanettin; Fil, Baybars Ali; Sozudogru, Onur; Aladag, Erdinc; Kul, Sinan
The present work aims to investigate the removal of three cationic dyes (Basic Orange 2, Basic Yellow 2 and Basic Violet 3) from aqueous solutions by montmorillonite under various experimental conditions. Cationic dyes were selected Basic Orange 2 (BO2), Basic Yellow 2 (BY2) and Basic Violet 3 (BV3). The effects of pH, initial dye concentration, adsorbent dose, agitation speed and ionic strength, on the removal of dyes were studied. According to the experiments results, it was shown, that maximum removal was achieved in less than 45 min. The results indicate that the montmorillonite can be used as a low cost alternative according to other adsorbents in the removal of dyes from wastewater. The maximum adsorption efficiency levels attained were as follows: 95.849% BO2, 99.562% BY2 and 99.169% BV3 onto montmorillonite at pH: 5.0, 100 mg/L initial dye concentration, 0.75g/L clay dosage, 300 rpm agitation speed, 0 M NaCl ionic strength and 293 K, reaction time of 45 min.
Forecasting of Particulate Matter With a Hybrid Arima Model Based on Wavelet Transformation and Seasonal Adjustment
(Elsevier, 2021) Aladag, Erdinc
Particulate matter is one of the primary atmospheric pollutants with significant effects on human health. Accurately and reliably forecasting air quality for future horizons makes it possible to take the necessary precautions to minimize potential risks. In this study, monthly PM10 concentration forecasts were made for Erzurum in Turkey. The first ten years of monthly data between 2006 and 2018 were used for training of the model, and the last two years were used to test predictions with the model. PM10 data had trends and seasonal effects removed with seasonal adjustment and were decomposed to three levels with MODWT. For each subseries obtained, modelling was performed with appropriate coefficients chosen with ARIMA. Particulate forecasting was performed with wavelet reconstruction for the approximate and detail series. According to the experimental results, the wavelet-transform based hybrid WT-ARIMA model was more successful than the traditional ARIMA model with regard to the RMSE, R-2, IA, MAE and MAPE. The developed model had values of RMSE 1.50, R-2 0.99, IA 99.92%, MAE 1.26 and MAPE 3.02%. The proposed model may be used as reference for early warning in regions with high air pollution observed due to accurate forecasting capability for particulate matter pollution.
The Influence of Meteorological Factors on Air Quality in the Province of Van, Turkey
(Springer int Publ Ag, 2023) Aladag, Erdinc
Van, the most crowded province in the east of Turkey, is afflicted by intense air pollution especially in winter. Permanence and transport of air pollutants are closely associated with the region's meteorological features. Hourly and annual variations in PM10 and SO2 air pollutants and temperature, wind, pressure, and humidity atmospheric variables were investigated in Van city center for 2015-2020. A multiple non-linear regression (MLNR) model was used to research the effect of meteorological parameters on air quality. Stepwise and best-subset statistical methods were applied to optimize estimators in the MNLR model. In the winter months, increases above limit values were observed for PM10 and SO2 linked to increases in low-quality fuel consumption due to reducing temperatures in the evenings. Spearman analysis showed there were moderate inverse correlations with temperature (R-2 = -0.42) and wind speed (R-2 = -0.42) and weak positive correlations with pressure (R-2 = 0.35) and humidity (R-2 = 0.22) for the air quality index. The MNLR model using minimum temperature (T-min), average wind speed (W-s), the maximum pressure (P-max), and average humidity (H-avg) was the most successful (R = 0.53, RMSE = 0.24) air quality model. The reduction in air quality was associated with colder temperatures, lower wind speed, higher atmospheric pressure and higher humidity. In conclusion, policymakers and implementors should pay attention to local climate features to effectively minimize urban air pollution.
Investigation of the Treatment of Olive Mill Wastewater by Electrooxidation
(Springer int Publ Ag, 2022) Kul, Sinan; Boncukcuoglu, Recep; Torun, Fatma Ekmekyapar; Recber, Zuleyha; Sozudogru, Onur; Aladag, Erdinc
The electrooxidation process, one of the advanced oxidation processes, is one of the effective treatment processes used in treating various industrial wastewaters. This study investigated the treatment of olive mill wastewater using the electrooxidation process. This study includes the effects of different experimental parameters on chemical oxygen demand and total phenol removal efficiencies in olive mill wastewater. Ti/IrO2/RuO2 mesh plates as anode material and Ti mesh plates as cathode material were used in the study. The effects of stirring rate, dilution factor, pH, type of support electrolyte, the concentration of support electrolyte, and current density on chemical oxygen demand and total phenol removal efficiencies were examined in the experiments using a batch reactor. The study found that the chemical oxygen demand and total phenol removal rates were 96.93% and 100% under optimum conditions, respectively. According to the treatment data obtained, it can be said that olive mill wastewater can be treated by the electrooxidation method and can be proposed as a pretreatment system before entering biological treatment.
The Nexus Between Air Pollution and the Covid-19 Pandemic in Turkey: Further Insights From Wavelet Coherence Analysis
(Springernature, 2024) Aladag, Erdinc
The nexus of the ambient air quality and the COVID-19 pandemic is a topic that has attracted much attention and remains of current interest. The study area of Turkey is one of the countries with high case numbers, but there is no detailed investigation dealing with it in the literature. For this reason, the correlation and links between COVID-19 cases and deaths in Turkey with the air pollutants of PM10, PM2.5, SO2, CO, NO2 and O3 were determined between 1 April and 31 July 2021 using the statistical methods of cross-correlation and wavelet coherence analysis. According to the findings, for the COVID-19 pandemic parameters, there were positive significant correlations with PM2.5, SO2, CO, and NO2 and an inverse significant correlation with O3. Although the wavelet transform is not convincing to suggest a standalone coherence, it reveals that air pollution and the spread and mortality of the pandemic in Turkey have short-term periods of co-movement. Additionally, it is notable that the national air quality improved during full lockdown periods in the country. The findings obtained in this study are expected to attract the attention of legislating and enforcing authorities and support more decisive steps being taken to reduce environmental pollutants and to control air pollution.
Production and Use of Scenedesmus Acuminatus Biomass in Synthetic Municipal Wastewater for Integrated Biorefineries
(Springer Heidelberg, 2023) Onay, Melih; Aladag, Erdinc
Bioethanol production from algal biomass is a promising alternative for sustainable biofuel production. Algae possess a high photosynthetic capacity and an adaptive ability to thrive under harsh environmental conditions. The potential properties of Scenedesmus acuminatus CCALA 436 were assessed in this research for its bioethanol efficiency, and the effects of growing the algae in wastewater and at different concentrations of mepiquat chloride were studied. Also, pre-treatment efficiencies of different concentrations of calcium oxide were carried out on microalgae biomass. Superoxide dismutase, catalase activity, glutathione, and malondialdehyde contents of microalgae were examined, and the changes in chlorophyll, photoprotective carotenoid contents, and protein concentrations were determined. The results revealed that the maximum sugar and ethanol contents of Scenedesmus acuminatus CCALA 436 were 44.7 +/- 1.5% and 20.32 g/L, respectively, for 50% wastewater and mepiquat chloride (2.5 mg/L) after pre-treatment with calcium oxide (0.08%). Additionally, the levels of oxidative enzymes varied depending on the wastewater concentrations. These findings indicate Scenedesmus acuminatus CCALA 436 grown in wastewater and mepiquat chloride can be used for the treatment of wastewater and the production of ethanol and high-value products such as carotenoid.
Utilizing Mining Dam Bottom Sludge as a Novel Adsorbent for Auo Removal From Wastewaters: Batch and Column Studies
(Elsevier, 2021) Disli, Erkan; Ozturk, Dilara; Aladag, Erdinc
In this study, the adsorption of Auramine O (AuO) dye using bottom sludge (BS) was investigated in batch and continuous systems. The BS was characterized by EDX, BET, XRD, DLS, sigma-potential, SEM, FTIR, helium pycnometer, and mercury porosimetry. The kinetic and isotherm data were fitted to pseudo-second-order and Langmuir models. The maximum amount of adsorption calculated from the Langmuir isotherm model was 5.09 mg/g. Thermodynamic studies showed that adsorption was endothermic and occurred spontaneously. Thomas, Clark, and Yoon-Nelson models were suitable (R-2 > 0.95 for all these models) to explain the dynamic behavior of AuO-BS in the column system. Increased bed depth increased breakthrough time, while the breakthrough time declined with increased initial AuO concentration and flow rate. Optimum conditions were determined for the batch system as 4 g of BS dose, 100 rpm agitation speed, and 90 min reaction time; optimum conditions for the column system were 3 cm bed depth, 0.14 mL/min flow rate, reaction time of 181 h; and optimum conditions for both systems were 100 mg/L AuO concentration, 20 degrees C reaction temperature and pH 6.18 (natural). Under these conditions, the amounts of AuO adsorbed in batch and column systems were calculated as 2.06 mg/g (89.75%) and 2.63 mg/g (47.13%), respectively. The studies showed that efficient remediation of AuO from aquatic environments is possible with BS. (C) 2021 Elsevier B.V. All rights reserved.