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    The modelling of [Fe(CN)6]4- adsorption onto sepiolite with artificial neural network [Sepiyolitin [Fe(CN)6]4- kompleksi adsorpsiyonunun yapay sinir a?lari{dotless} i?le modellenmesi]
    (Chamber of Mining Engineers of Turkey, 2013) Önen V.; Yel E.; Tezel G.
    Artificial neural network (ANN) is the modeling method which has been succesfully used for adsorption processes in recent years. In this study, effectiveness of sepiolite in the adsorption of a strong metal-cyanide complex, [Fe(CN)6]4-, from aqueous solution was investigated. The experimental results was used as the database in forecasting model developed in ANN. Fe and CN adsorption capacities of sepiolite were forecasted by two hidden layer ANN model. Concentration, particle size, time and activation conditions were input independent variables while the capacity was forecasted as output depended variable. Total 324 data was randomly separated to two subsets as 232 training and 92 test data. Tansig-tansig-logsig functions and 8 and 7 neurons in the first and second hidden layers, respectively, resulted in the best model configuration. The highest correlation and the lowest errors achieved with this configuration were 0.99401-0.015 at training and 0.98983- 0.020 at test. Cross validation was applied to the best configuration. A nine fold cross validation resulted in 0.99442-0.015 correlation-error values for training and 0.98088-0.026 for testing. The achieved close correlation and error values after cross valudation indicated the success and confidency of the established model.
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    Öğe
    Successive use of Miscanthus sinensis x giganteus in Wetland and adsorption treatment as sustainable environmental implementation
    (2013) Yel E.
    The approaches to integral utilisation of biomass for sustainable development are becoming more comprehensive. Sequential beneficial implementations for crops such as Miscanthus sinensis x giganteus contribute the sustainability of the natural resources. All parts of the plant such as leaves, bark, fruits, and seeds can be turned into useful products. In this study, successive utilisation of Miscanthus sinensis x giganteus for two consecutive treatment applications was investigated. First, the effectiveness of constructed wetland, planted with Miscanthus sinensis x giganteus, in domestic wastewater treatment was investigated in a two-stage verticalflow wetland (VFCW). Then the crops were harvested from two successive VFCW, stems and leaves were separated, ground down and adsorbents were obtained (Stem-1/Stem-2, and Leaf-1/Leaf-2). Fe(II), Cu(II) and Zn(II) adsorption by these four adsorbents were investigated. In the first step, average COD, Turbidity, NH3-N and Phosphorus removal efficiencies were 91, 98, 98 and 83% respectively. NH3-N degradation by nitrification caused NO3-N to increase, but mass balance indicated that denitrification also occurred simultaneously. In the second step, the crops could adsorb Fe(II), Cu(II) and Zn(II) with different capacities changed between 6-56 mg metal/g of the adsorbent. Equilibrium data followed both Langmuir and Freundlich isotherms, with a better fit to Langmuir. Adsorption followed second-order rate kinetics. The data from this study, and the high energy yield and variety of utilisation areas of the crop indicated that it can be used in three sequential beneficial implementations, thereby sustainable utilisation of the plant resource was achieved. © Common Ground, Esra Yel, All Rights Reserved.