• 关键词：响应面分析  中心复合设计  优化  重金属絮凝剂  含铜废水

• 基金项目：国家自然科学基金（No.51368030）；兰州交通大学天佑创新团队资助项目（No.TY202005）

• 严亚萍
• 兰州交通大学环境与市政工程学院, 兰州 730070

• 王刚
• 兰州交通大学环境与市政工程学院, 兰州 730070

• 姜盛基
• 兰州交通大学环境与市政工程学院, 兰州 730070

• 王露露
• 兰州交通大学环境与市政工程学院, 兰州 730070

• 摘要：采用聚丙烯酰胺、二甲胺、甲醛、氢氧化钠、二硫化碳为原料，制备出重金属絮凝剂二硫代羧基化胺甲基聚丙烯酰胺（DTAPAM），以含Cu²⁺废水为研究对象，采用三因素五水平的响应曲面分析法对DTAPAM除Cu²⁺性能进行了研究.实验结果表明：响应面法建立的二次项回归模型p值为0.0037，模型显著；X₁X₂、X₁X₃、X₂X₃项的p值分别为：0.0240、0.0061、0.1322，X₁X₂、X₁X₃交互作用显著，而X₂X₃交互作用不显著.通过响应面分析，在Cu²⁺初始浓度为25 mg·L^-1，Cu²⁺初始浓度与絮凝剂投加量的比值为1：6.3，水样初始pH值为6.0时，DTAPAM对Cu²⁺的去除性能最佳.在此条件下，实测Cu²⁺的去除率为91.60%，模型预测值为93.35%，相对偏差为-1.87%，利用响应面法优化DTAPAM对Cu²⁺的去除条件可行.

• Abstract：A heavy metal flocculant, named dithiocarboxylated amine methyl polyacrylamide (DTAPAM), was prepared by using polyacrylamide, dimethylamine, formaldehyde, sodium hydroxide and carbon disulfide as raw materials. The Cu²⁺ removal was studied with DTAPAM by employing the response surface method (RSM) of three-factor and five-level. The experimental results showed that the p value of the quadratic regression model established by RSM was 0.0037, which was significant. The p values of X₁X₂、X₁X₃ and X₂X₃ were 0.0240、0.0061 and 0.1322, respectively. The interaction of X₁X₂ and X₁X₃ was significant, except the interaction of X₂X₃. Through the response surface analysis, the optimum removal performance, up to 91.60%, for Cu²⁺ by DTAPAM was obtained under the initial Cu²⁺ concentration to the dosage of DTAPAM ratio of 1:6.3, at pH 6. The model prediction value was 93.35% with the relative deviation of -1.87%. The results indicate that it is feasible to optimize the removal performance of Cu²⁺ with DTAPAM by using RSM.

• Key words：response surface analysis  central composite design  optimization  heavy metal flocculant  wastewater containing copper

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