响应曲面法优化生物活性炭效能的界面调控方法

Optimization on Interface Regulation Method of Enhanced Removal Performance of Biological Activated Carbon Advanced Using Response Surface Methodology

该文以氨氮和TOC为目标污染物,以蔗糖浓度、纳米二氧化锰(nMnO_(2))浓度和负载比例为影响因素,应用Box-Behnken响应曲面法进行三因素三水平试验,对碳源耦合nMnO_(2)预负载强化生物活性炭(BAC)污染物控制效能的界面调控方式进行优化。结果表明:蔗糖浓度和负载比例之间的交互作用对界面调控的BAC去除氨氮效能有显著影响(p=0.006<0.05);nMnO_(2)浓度和负载比例之间的交互作用对界面调控的BAC去除TOC效能有显著的影响(p=0.038<0.05)。以氨氮和TOC去除率同时作为响应值时,最优的BAC界面调控条件为:预负载1 mg/g DW GAC的蔗糖和0.25 mg/g DW GAC的n MnO_(2)、负载比例65%;在此条件下,界面调控的BAC对氨氮和TOC的去除率分别达到(38.1±1.3)%和(68.9±2.7)%。

In this study,interface control methods of carbon source coupling nMnO_(2) enhanced BAC were optimized by response surface methodology.The sucrose concentration,nMnO_(2) concentration,and load proportion were chosen as impact factors.The experiments were performed using ammonium and TOC as target pollutants.The results showed that the interaction between sucrose concentration and load proportion on the removal of ammonium by interface control enhanced BAC had a significant effect(p=0.006<0.05).The interaction between nMnO_(2) concentration and load proportion on the removal of TOC by interface control enhanced BAC had a significant effect(p=0.038<0.05).When ammonium and TOC removal rates were used as response values,the optimum conditions of interface control enhanced BAC:pre-loading sucrose of 1 mg/g DW GAC,pre-loading nMnO_(2) of 0.25 mg/g DW GAC,loading proportion of 65%.Under the optimum conditions,the removal of ammonium reached(38.1±1.3)%,the removal of TOC reached(68.9±2.7)%.