摘要
利用统计学方法对光助Fenton氧化垃圾渗滤液中高浓度腐殖质的影响因素进行探讨和分析。通过Plack- ett-Burman实验设计筛选出FeSO_4·7H_2O的投加量、H_2O_2/FeSO_4·7H_2O比值和初始pH值为主要影响因素,并经过响应面分析优化了这3个因素。通过Design-Expert软件得到1个2次响应曲面模型,并找到了最佳的FeSO_4·7H_2O、H_2O_2/FeSO_4·7H_2O比值和pH值分别为0.013mol/L、4.60、4.45,从而TOC的去除率也达到最大(89.85%)。
The effects of operating conditions on photo-Fenton process of landfill leathate were investigated by using statistical methods in the paper. For screening of factors significantly influencing TOC removal efficiency, the two-level Plackett-Burman design was used. Among ten variables tested, FeSO4·7H2O concentration, HE O2/FeSO4·7H2O and pH were identified as the most significant factors. The optimal values of important variables were determined by response surface methodology （RSM））. Using the software of Design-Expert, a response surface quadratic model in terms of actual factors was obtained based on the experimental data. In addition, the optimum FeSO4·7H2O concentration, H2O2/FeSO2·7H2O and pH values were found to be 0.013mol/L, 4.60, 4.45 respectively, and the highest TOC removal efficiency （89. 85 % ） could be achieved.
出处
《太阳能学报》
EI
CAS
CSCD
北大核心
2008年第6期761-766,共6页
Acta Energiae Solaris Sinica
