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Optimization of As(Ⅲ) removal in hard water by electrocoagulation using central composite design with response surface methodology

机译:用中央复合材料设计用响应面法通过电凝来优化如(Ⅲ)用电凝胶层去除

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Central composite design with response surface methodology was applied to optimize the main experimental parameters such as current, time, As(III) concentration, and hardness for arsenic (III) removal in hard water by the electrocoagulation process. The main aim was to find the optimum process parameters to maximize arsenic removal from the mathematical model equations developed in this study using R software. By variance and regression analysis, the linear regression equation was established as a predicted model. The R-2 of 0.93 indicated that the equation was well fitted. The optimum condition of 99% of As(III) removal for current (A), time (min), As(III) concentration (ppb), and hardness (mg/L as CaCO3) is 0.07, 37, 274, and 324, respectively. ANOVA analysis shows no significant difference between the observed and predicted values (p-value0.05) which shows good fit to the model.
机译:应用具有响应面方法的中央复合设计,以通过电凝过程优化砷(III)在硬水中除去砷(III)的电流,时间,(III)浓度和硬度的主要实验参数。主要目的是找到最佳的过程参数,以最大化从本研究中开发的数学模型方程中的砷去除使用R软件。通过方差和回归分析,建立线性回归方程作为预测模型。 0.93的R-2表明,等式井井有条。作为电流(a),时间(min),浓度(ppb)和硬度(mg / l作为caco3)的时间(a),时间(min),时间(min)的最佳条件为0.07,37,274和324 , 分别。 ANOVA分析显示观察和预测值(P值> 0.05)之间没有显着差异,其显示出良好的拟合模型。

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