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为提高铝基电絮凝净化微污染水的效果,实验采用响应曲面法(RSM)优化反应条件。采用单因素法筛选影响电絮凝去除UV_(254)的主效因子,并借助响应曲面法建立了以UV_(254)的去除率为响应值的二次回归模型,确定了电絮凝优化反应条件,即电流密度为1.59 m A/cm~2、原水p H为7.5、运行时间为45 min,此时UV_(254)的去除率达到最大值89.94%。通过验证实验得到的实际值和模型计算值相吻合,说明该回归模型准确可靠。
In order to improve the effect of Al-based electroflocculation to purify micro-polluted water, response surface methodology (RSM) was used to optimize the reaction conditions. Single factor method was used to screen the main effect factors that affect the electro-flocculation removal of UV_ (254). The response surface method was used to establish the quadratic regression model with the UV_ (254) removal rate as the response value. The optimal reaction conditions were determined, That is, the current density is 1.59 m A / cm ~ 2, the raw water p H is 7.5 and the running time is 45 min, the UV_ (254) removal rate reaches 89.94% at the maximum. The actual value obtained through the verification experiment is consistent with the calculated value of the model, indicating that the regression model is accurate and reliable.