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Öğe Adsorption of Reactive Blue 114 dye by using a new adsorbent: Pomelo peel(ELSEVIER SCIENCE INC, 2014) Argun, Mehmet Emin; Guclu, Dunyamin; Karatas, MustafaThis paper describes the removal of Reactive Blue 114 dye from aqueous solutions by using pomelo (Citrus grandis) peel. Pomelo peel can be described as a new, low cost, abundantly available adsorbent. The optimum adsorbent mass, dye concentration, contact time and pH were determined in this study. The parameters of Langmuir, Freundlich and Temkin adsorption isotherms were also obtained using concentrations of the dyes ranging from 1.0 to 200 mg/L. Maximum adsorption capacity was obtained as 16 mg/g at pH 2 and 303 K solution temperature. The adsorption process was observed to be reaching equilibrium after about 90 min. (C) 2013 The Korean Society of Industrial and Engineering Chemistry. Published by Elsevier B.V. All rights reserved.Öğe Advanced treatment of coking wastewater by conventional and modified fenton processes(WILEY, 2013) Guclu, Dunyamin; Sirin, Nazan; Sahinkaya, Serkan; Sevimli, Mehmet FaikCoking wastewater contains high a concentration of refractory and toxic compounds to be treated before being discharged into the environment. The water quality usually cannot meet the discharge limits after conventional biological treatment processes. This article initially investigated the treatability of coking wastewater with conventional and modified Fenton processes for advanced treatment of coking wastewater. Based on the experimental results, up to 86% of chemical oxygen demand (COD) and 99.5% of phenol removals were achieved by the conventional Fenton process at original pH 7.8 within 60 min. pH adjustment was not performed due to the sudden drop in the original pH value, after the addition of Fenton's reagents. A modified Fenton process yielded comparable COD (82%) and phenol (98.5%) removals within 120 min at pH 3.0. The optimal operating conditions were determined as [Fe2+] = 300 mg/L, [H2O2] = 4000 mg/L, and pH = 7.8 for a conventional Fenton process, and [Fe0] = 300 mg/L, [H2O2] = 4500 mg/L, and pH = 3 for a modified Fenton process. (c) 2011 American Institute of Chemical Engineers Environ Prog, 32: 176-180, 2013Öğe APPLICABILITY OF FENTON-LIKE PROCESS FOR DECOLORIZATION OF REACTIVE BLACK 5 BY USING RAW LIMONITE ORE(INT SCIENTIFIC CONFERENCE SGEM, 2008) Guclu, Dunyamin; Sahinkaya, Serkan; Aygun, Ahmet; Sevimli, Mehmet FaikThe Fenton process, one of advanced oxidation processes (AOPs), has been widely implemented to remove COD and color for dye wastewater as a pre-treatment or post-treatment process. In recent years, Fenton-like processes have received considerable attention in wastewater removal. The main purpose of the present study was to determine the optimal operational conditions of the Fenton- like process by using raw limonite ore at various concentrations of hydrogen peroxide and raw limonite ore for treatment of dye wastewater on a laboratory scale synthetic wastewater. According to the experimental results, it is indicated that this method can effectively reduce concentrations of color. Under optimal conditions, 98 % removal efficiency was achieved.Öğe Application of neural network prediction model to full-scale anaerobic sludge digestion(WILEY-BLACKWELL, 2011) Guclu, Dunyamin; Yilmaz, Nihat; Ozkan-Yucel, Umay G.BACKGROUND: Process modeling is a useful tool for description and prediction of the performance of anaerobic digestion systems under varying operation conditions. The objective of this study was to implement a model to simulate the dynamic behavior of a large-scale anaerobic sewage sludge digestion system. Artificial neural network (ANN) models using algorithms best suited to environmental problems (the Levenberg-Marquardt algorithm and the 'gradient descent with adaptive learning rate' back propagation algorithms) were used to model the anaerobic sludge digester of the Ankara Central Wastewater Treatment Plant (ACWTP) using dynamic data. RESULTS: Based on the relatively low mean square error (MSE), mean absolute error (MAE) and mean absolute percentage error (MAPE) and very high r values, ANN models predicted effluent volatile solid (VS) concentration and methane yield satisfactorily. Effluent VS and methane yields were predicted by the ANN using only conventional parameters such as pH, temperature, flow rate, volatile fatty acids, alkalinity, dry matter and organic matter. The best back propagation algorithm was the gradient descent with adaptive learning rate algorithm in both models. In the training of the neural network, four-fold cross-validation was used for validation of the model for better reliability. CONCLUSION: The proposed ANN models were shown to be capable of dynamically predicting the VS and CH(4) production rates for real system behavior. Only relatively simple monitoring parameters are needed to build the model for this complex anaerobic digestion process. (C) 2011 Society of Chemical IndustryÖğe A comparative study for treatment of white liquor by different applications of Fenton process(ELSEVIER, 2014) Sevimli, Mehmet Faik; Deliktas, Elif; Sahinkaya, Serkan; Guclu, DunyaminIn this paper, the treatability of white liquor by conventional (CFP), modified (MFP) and electro-Fenton oxidation processes (EFP) was investigated depending on the COD parameter. Based on the experimental results, up to 62.4%, 58.4% and 54.9% COD removals by the CFP, MFP and EFP were achieved, respectively. It was observed that adjustment of initial pH to acidic values is not required in the CFP. The optimal operational conditions were found to be [ Fe2+] = 500 mg/L, [ H2O2] = 1000 mg/L at pH 7.3 (original pH) in the CFP, [ Fe 0] = 1250 mg/L, [ H2O2]= 1000 mg/L at pH 3 in the MFP, and I = 1.0 A, [ H2O2] = 1500 mg/L at pH 3 in the EFP, respectively. As a result, the CFP has been determined as a more efficient alternative treatment method. (C) 2013 Production and hosting by Elsevier B.V. on behalf of King Saud University.Öğe The effect of pH on removal of Cr (VI) by using chabazite(Selçuk Üniversitesi, 2014) Aysan, Hamza; Guclu, Dunyamin; Karakaya, Muazzez CelikIn this study,The natural material chabazite was investigated for its ability to remove chromium(VI) from aqueous solution by batch adsorption experiments.. The effect of operating parameter pH on the adsorption was investigated.The influences of pH (3 to 11) have been reported at keeping constant conditions (Initial concentration=100 mg/L, agitation rate=200 rpm ,temperature = 298 K, contact time 120 min). The results show that adsorption of Cr (VI) strongly depends on the pH of the solution,.The capacity of adsorption of Cr(VI) increased at lower pH'a The maximum adsorption capacity was obtained at pH 3.0. The maximum removal of Cr (VI) was found to be 5 mg/g.Öğe Optimization of electrocoagulation of pistachio processing wastewaters using the response surface methodology(DESALINATION PUBL, 2015) Guclu, DunyaminOptimization of electrocoagulation using aluminum electrode in terms of chemical oxygen demand (COD) removal from pistachio processing wastewaters was carried out by using response surface methodology (RSM) and Box-Behnken experimental design. Initial pH, current density, and electrolysis time were selected as independent process variables. The experimental data and model predictions agreed well. Optimization result for the maximum COD removal efficiency was 57.4% at 317 A/m(2) current density, pH 6, and 29 min application time for treatment of pistachio processing wastewaters. The operating cost of the model at the optimized conditions was 2.89 euro/m(3).Öğe Post-Treatment of Coking Industry Wastewater by the Electro-Fenton Process(WILEY, 2013) Guclu, Dunyamin; Sahinkaya, Serkan; Sirin, NazanEffluents of the coking industry cannot be effectively treated in biological treatment units because of non-biodegradable organic matters and phenolic compounds present in the wastewater. In this study, post-treatment of biologically treated coking wastewater via the electro-Fenton process was investigated to minimize the effects of discharge of this kind of wastewater on the environment. The electro-Fenton experiments were performed using cast iron electrodes. Chemical oxygen demand (COD) and phenol were selected as the target parameters. The optimum operating conditions were as follows: reaction time = 10 minutes, pH = 3.0, electrical current = 1.0 A, and [H2O2] = 2000 mg/L. Under these conditions, COD and phenol removal efficiencies were 67.8% and 98.0%, respectively. In addition, it was determined that COD removal followed first-order reaction kinetics. Consequently, the electro-Fenton process was determined as an effective alternative post-treatment method for coking industry effluents.Öğe Prediction of sludge volume index bulking using image analysis and neural network at a full-scale activated sludge plant(DESALINATION PUBL, 2016) Boztoprak, Halime; Ozbay, Yuksel; Guclu, Dunyamin; Kucukhemek, MuratSludge volume index parameter should be monitored daily for the performance of wastewater treatment plants. It was aimed to estimate this parameter using image processing and artificial intelligence techniques for full-scale wastewater treatment plant. The activated sludge samples were collected from the aeration tank of the activated sludge process in Konya Domestic Wastewater Treatment Plant. Sludge characteristics and settling properties were observed microscopically via the measurements of flocs and filaments. The 49 images per slide were taken by an image-analysis system developed for automated image acquisition. A total of 120 samples were examined over a period of year. The floc and filament structures were analyzed using Cellular Neural Networks (CNN). Iteration value of the CNN was modified according to the image. Then, a number of morphological operations were applied for an accurate identification of the floc and filaments separately. Textural, shape, and statistical approaches were utilized for creating a set of data for each sample. After preparing the training and test data by shuffling the data randomly, a fivefold cross-validation method was applied. And, these training and test data were applied to an artificial neural network. The weights of the neural network were trained using the Levenberg-Marquardt, Genetic, and Artificial Bee Colony algorithms.Öğe Removal of chromate from aqueous system by activated red-mud(ASIAN JOURNAL OF CHEMISTRY, 2008) Dursun, Sukru; Guclu, Dunyamin; Berktay, Ali; Guner, TuncIn this investigation, red-mud which is the semi-waste of the Seydisehir Aluminium Factory in Turkey was used as an adsorbent material after activation processes. Firstly, the red-mud was treated with different concentration of HCl acid and was washed up with deionized water to clean the acid and other residues. Then, activate adsorbent was used in different doses and at the different pH values for each experimental test. Furthermore, optimum activated red-mud dosage was added in the water containing different chromate concentration. So, the capability of the red-mud for the chromate removal from the water was investigated. In the experiments, the chromate added tap water was used for synthetic water samples. About 70 % chromate removal efficiency was obtained by the optimum red-mud dose and pH value. This investigation indicated that waste of aluminium factories might be used for heavy metal removal processes from the water.Öğe The sonochemical decolorisation of textile azo dye CI Reactive Orange 127(WILEY-BLACKWELL, 2011) Ozdemir, Celalettin; Oden, Muhammed K.; Sahinkaya, Serkan; Guclu, DunyaminIn the present study, Fenton and sono-Fenton processes were applied to the oxidative decolorisation of synthetic textile wastewater including CI Reactive Orange 127 and polyvinyl alcohol. Process optimisation [pH, ferrous ion (Fe(2+)) and hydrogen peroxide (H(2)O(2))], kinetic studies and their comparison were carried out for both of the processes. The sono-Fenton process was performed by indirect sonication in an ultrasonic water bath, which was operated at a fixed 35-kHz frequency and 80 W power. The optimum conditions were determined as [Fe(2+)] = 20 mg l(-1), [H(2)O(2)]= 15 mg l(-1) and pH = 3 for the Fenton process and [Fe(2+)] = 25 mg l(-1), [H(2)O(2)] = 5 mg l(-1) and pH = 3 for the sono-Fenton process. The colour removals were 89.9% and 91.8% by the Fenton and sono-Fenton processes, respectively. The highest decolorisation was achieved by the sono-Fenton process because of the production of some oxidising agents as a result of sonication. Consequently, ultrasonic irradiation in the sono-Fenton process slightly increased the colour removal to 91.8%, while decreasing the hydrogen peroxide dosage to one-third of that of the Fenton process.
