Yazar "Dursun, Suekrue" seçeneğine göre listele

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    Amelioration of carbon removal prediction for an activated sludge process using an artificial neural network (ANN)
    (WILEY, 2008) Gueclue, Duenyamin; Dursun, Suekrue
    A dynamic simulation model of the Ankara central wastewater treatment plant (ACWTP) was evaluated for the prediction of effluent COD concentrations. Firstly, a mechanistic model of the municipal wastewater treatment process was developed based on Activated Sludge Model No. 1 (ASM1) by using a GPS-X computer program. Then, the mechanistic model was combined with a feed-forward back-propagation neural network in parallel configuration. The appropriate architecture of the neural network models was determined through several iterative steps of training and testing of the models. Both models were run with the data obtained from the plant operation and laboratory analysis to predict the dynamic behavior of the process. Using these two models, effluent COD concentrations were predicted and the results were compared for the purpose of evaluation of treatment performance. It was observed that the ASM1 ANN model approach gave better results and better described the operational conditions of the plant than ASM1.
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    TREATMENT OF MINERAL-OIL RECOVERY INDUSTRY WASTEWATER BY SEQUENTIAL AERATION AND FENTON'S OXIDATION PROCESS
    (GH ASACHI TECHNICAL UNIV IASI, 2010) Argun, Mehmet Emin; Karatas, Mustafa; Dursun, Suekrue
    This study describes the treatment of preliminary aerated mineral-oil recovery industry wastewater (MORIW) using Fenton's reagent. Application parameters such as Fe(2+) and H(2)O(2) concentration, pH value, reaction period, temperature, and sludge characteristics were examined. Maximum oxidation efficiency (about 90% COD removal and 80% UV(254) removal) was achieved at the conditions of 0.003 Fe(2+):H(2)O(2) ratio, 180 min reaction period, pH 3 and 293 K temperature. The oxidation process of MORIW followed pseudo-second-order reaction kinetic. The studied sludge character has a high density with settling velocity. In addition, the high settlement rate (SR) and liquid/solid ratio (L/S) values demonstrated that the formed sludge was suitable for dewatering and drying processes.