Environmental Engineering / Çevre Mühendisliği
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Book Part Citation - Scopus: 32Language of Response Surface Methodology as an Experimental Strategy for Electrochemical Wastewater Treatment Process Optimization(Elsevier, 2022) Gören, Ayşegül Yağmur; Recepoğlu, Yaşar Kemal; Khataee, AlirezaThe availability and accessibility to safe and secure water resources are the key technological and scientific concerns of global significance. As a result of water scarcity worldwide, wastewater treatment and reuse are considered viable options to replace freshwater resources in agricultural irrigation and domestic and industrial purposes. A significant need for clean water has promoted the invention and/or enhancement of several electrochemical wastewater treatment (EWT) processes. Optimization of the process variables plays a crucial role in wastewater treatment to enhance technology performance, considering removal efficiency, operating cost, and environmental impacts. These processes are fundamentally complex multivariable, and the optimization through conventional methods is unreliable, inflexible, and time- and material-consuming. In this perspective, response surface methodology (RSM) appears to be a beneficial statistical experimental strategy for the performance optimization of the EWT process. This model could be utilized for the optimization and analysis of the individual and/or combined effects of operational variables on the treatment process to improve the system performance. Furthermore, this model provides a number of information from a slight number of experimental trials. In this chapter, a summary and a discussion are presented on the RSM model used in the electrochemical wastewater treatment processes to overcome process crucial challenges toward the optimization and modeling of process parameters. It provides a potential model to enhance the various types of wastewater treatment process performance with effective optimization. Overall, it is described that the RSM model can be used in EWT processes to find the optimum conditions.Article Citation - WoS: 23Citation - Scopus: 30Biosorption of Methylene Blue From Water by Live Lemna Minor(Elsevier, 2021) Can Terzi, Begüm; Gören, Ayşegül Yağmur; Ökten, Hatice Eser; Sofuoğlu, Sait CemilA number of green treatment technologies have been used for textile wastewater treatment, among which phytoremediation is a low cost, effective, and promising alternative - to conventional treatment techniques. The aim of this study was to investigate performance of Lemna minor (L. minor) for phytoremediation of Methylene Blue (MB). A Box-Behnken experimental design (BBD) was applied to study individual and combined effect of operating parameters on MB dye removal efficiency: MB dye concentration (x(1): 5 - 25 mgL(-1)), amount of L. minor (x(2): 1 - 5 g), and pH of the solution (x(3): 4.5 - 9.0). Response surface analysis and response model were utilized to reveal the relationship between operating parameters and MB removal efficiency. Fourier Transform Infrared Spectroscopy (FTIR) and Scanning Electron Microscopy (SEM) analyses of L. minor samples were used to infer on the removal mechanism. The predicted optimum values were x(1) = 15 mgL(-1), x(2) = 4.9 g, and x(3) = 6.8, for the highest removal efficiency (98%) within 24 h. FTIR and SEM analyses indicated that the dye removal mechanism was mainly biosorption. Desorption experiments revealed that L. minor released only a small fraction of the sorbed dye. Consequently, in addition to being environmental friendly and cost effective, results of this study show that L. minor can be effectively used for MB dye removal from wastewaters while adding to the pertinent but limited literature by presenting its applicability in wider operating parameter ranges, maximization of removal efficiency through experimental design, and evidence that biosorption is a plausible mechanism. (C) 2021 Elsevier B.V. All rights reserved.Article Citation - WoS: 10Citation - Scopus: 12Removal of Arsenate by Electrocoagulation Reactor Using Aluminum Ball Anode Electrodes(IWA Publishing, 2018) Gören, Ayşegül Yağmur; Öncel, Mehmet Salim; Demirbaş, Erhan; Şık, Emrah; Kobya, MehmetThe aim of this research was to remove arsenate (As(V)) from groundwater using an air-injected electrocoagulation (EC) reactor with aluminum (Al) ball anodes. The effects of seven operating variables - initial pH, applied current (i), operating time (t(EC)), initial As(V) concentration (C-o), Al ball anode diameter (d(p)), reactor column height (h), and airflow rate (Q(air)) were investigated with a Box-Behnken statistical experimental design. ANOVA results from the quadratic model equations indicated that the model fitted very well with the experimental data for the responses, which were removal efficiency, operating cost (OC), As(V) adsorption capacity, and effluent concentration (R-2 >= 0.87). The most effective parameters were applied current, operating time, and anode height for As(V) removal efficiency in the EC reactor, while initial pH, Al anode diameter, and air flow rate had limited effect on removal. The model predicted a residual As(V) concentration below 10 mu g/L under the optimum operating conditions (pH 7.03, 0.29 A, 10.5 min, d(p) 7.5 mm, 613.4 mu g/L, h 5.1 cm, and Q(air) 6.4 L/min). The maximum As(V) removal efficiency and minimum OC in the EC process were almost 99% and 0.442 $/m(3), respectively.