中文摘要：

为提高铁碳微电解处理染料废水中CODcr，去除率，将Plackett—Burman和Box-Behnken试验设计方法相结合应用于废水处理条件的筛选与优化．Plackett—Burman设计试验结果表明：铁碳比（体积比）、反应时间和曝气量是影响铁碳微电解处理染料废水CODcr，去除率的3个关键性因素．Box—Behnken试验设计方法和三维响应面分析表明，铁碳微电解处理染料废水对CODcr，去除率的最优化操作条件是铁碳比为3：2、反应时间为120min、曝气量为40L／min．在该优化条件下，当P（CODer）在1000～10000mg／L之间变化时，CODcr，去除率的试验结果均落在模型预测结果的95％置信区间（75．5％-83．3％）内，说明模型能对铁碳微电解处理结果进行良好的预测，因此具有一定的可信度．

英文摘要：

In order to enhance the removal rate of chemical oxygen demand （p （CODcr）） from dye wastewater treated by iron-carbon micro-electrolysis, Plackett-Burman and Box-Behnken experimental design methods were applied to select the influencing factors and to optimize the operational conditions, respectively. The results obtained from the Plackett-Burman designed experiments indicate that the iron/carbon ratio, reaction time and aeration rate are the three key factors significantly influencing the removal rate of p （CODcr）. The results of the Box-Behnken designed test showed that the optimal conditions of iron-carbon micro-electrolysis treated dye wastewater were as follows ： an iron/carbon ratio of 3 ： 2, reaction time of 120 rain and aeration rate of 40 L/rain. Under the conditions, the p （CODcr） removal efficiency fell within the 95% confidence interval （ IC： 75.5% -83.3% ） of the model results, when p （CODcr） concentration ranged from 1,000 to 10,000 mg/L. This indicates that the model obtained with the 3D response surface could effectively predict the removal efficiency of iron-carbon micro-electrolysis. These results provide a way for the determination and optimization of other processes, and a theoretical basis for process design.