响应面法优化焦化废水生化尾水混凝药剂投加量研究

Optimization of coagulant dosage for bio-treated coking wastewater by response surface method

采用聚合氯化铝(PAC)+聚丙烯酰胺(PAM)混凝处理焦化废水生化尾水,通过单因素实验考察了混凝剂PAC、PAM投加量对混凝处理效果的影响。基于单因素实验开展响应面混凝实验,构建PAC、PAM投加量为自变量,出水残留浊度和出水过余电导率组成的加药控制系数为响应量的数学模型并对其参数进行了响应面优化。结果表明,混凝处理最佳药剂投加量PAC为2546.96 mg/L,PAM为10.90 mg/L,此条件下出水平均浊度残留率为4.24%、电导率过余率为2.77%、加药控制系数为7.01,与模型预测值相对误差<5%,进一步证明该响应面模型合理有效,对同时实现处理过程混凝充分反应和盐分有效控制具有指导作用,并可为相关自动化加药模型开发提供思路。

Combined polyaluminum chloride(PAC)with polyacrylamide(PAM)coagulation was used to treat bio-treated coking wastewater.The influence of the dosage of PAC and PAM on the coagulation treatment effect was in⁃vestigated through a single factor experiment.Based on the single factor experiment,the response surface coagula⁃tion experiment was carried out to construct the mathematical model with the dosage of PAC and PAM as indepen⁃dent variables and the control coefficient of residual turbidity and excess conductance of effluent as response quan⁃tity.Moreover,its parameters were optimized by response surface method.The results showed that the optimal dos⁃age of coagulant was 2546.96 mg/L for PAC and 10.90 mg/L for PAM.Under this condition,the average turbidity re⁃sidual rate of experimental effluent was 4.24%,the conductivity excess rate was 2.77%,and the dosing control coef⁃ficient was 7.01,with a relative error<5%from the predicted value of the model.