Authors: Sh ShahmohammadiKalalagh H Babazadeh
Publish Date: 2013/04/24
Volume: 11, Issue: 1, Pages: 111-118
Abstract
In this research the equilibrium sorption of ZnII and CuII by kaolinite was explained using the Freundlich Langmuir and Redlich–Peterson isotherms via both linear and nonlinear regression analyses In the case of nonlinear regression method the bestfitting model was evaluated using six different error functions namely coefficient of determination r 2 hybrid fractional error function HYBRID Marquardt’s percent standard deviation MPSD average relative error ARE sum of the errors squared SSE and sum of the absolute errors EABS The examination of error estimation methods showed that the Langmuir model provides the best fit for the experimental equilibrium data for both linear and nonlinear regression analyses The SSE function was found to be a better option to minimize the error distribution between the experimental equilibrium data and predicted twoparameter isotherms In the case of threeparameter isotherm HYBRID was found to be the best error function to minimize the error distribution structure between experimental equilibrium data and theoretical isotherms Nonlinear method was found to be more appropriate method for estimating the isotherm parameters
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