摘要
基于响应面分析法优化热活化Na_2S_2O_8氧化处理木材活性染料染色废水处理工艺。根据响应面分析法中的Box-Behnken中心组合设计原则选取实验因素与水平,从中选取对废水处理结果有影响的Na_2S_2O_8加入量、初始pH值、反应温度、反应时间4个因素进行优化,并利用Design Expert 8.0.6分析软件对实验数据进行分析,拟合得到二次多项式回归方程的预测模型。结果表明:50 g/L Na_2S_2O_8加入量、87℃反应温度、3.3 h反应时间、p H值保持初始不变为木材活性染料染色废水最优处理工艺。在此参数下,废水COD去除率为96.16%,与预测值95.49%接近,说明根据预测模型和响应面分析法得到的优化工艺准确可靠。
The optimization of the treatment process was focused according to the response surface analysis of Box-Behnken central composite Design principle to select test factors and levels, which performed to the wastewater from wood dyeing of reactive dyes treated the sodium persulfate oxidationof thermal activation. Four influential factors of wastewater treatment were selected to optimize, such as addition amount of sodium persulfate, reaction temperature, reaction time, initial pH value. The response surface methodology was applied by using the Design Expert 8.0.6 analysis software. Then fitting the forecast model of quadratic polynomial regression equation was obtained. The regression analysis and the response surface analysis of wood dyeing wastewater treatment determined to optimize the process parameters, e.g. 50 g/L for amount of Na2S2O8, reaction temperature of 87℃, reaction time of 3.3 h, non-adjustable initial pH value. After performing the optimal process, the removal rate of COD was 97.16%, and the predicted values close to 95.49%. Thus, Box-Behnken model and the optimization of the response surface analysis was accurate and reliable to study the wastewater treatment process of the sodium persulfate oxidation.
出处
《中南林业科技大学学报》
CAS
CSCD
北大核心
2017年第11期161-166,共6页
Journal of Central South University of Forestry & Technology
基金
国家林业公益性行业科研专项(201304509)
湖南省教育厅优秀青年项目(16B281)
中南林业科技大学引进高层次人才科研启动基金项目(2015YJ023)
关键词
染色废水
活性染料
响应面分析
过硫酸钠氧化
dyeing wastewater
reactive dyes
response surface methodology
sodium pcrsulfate oxidation
