Department of Food Technology, Kongu Engineering College, Perundurai Erode-638052, TN India.
Department of Food Technology, Kongu Engineering College, Perundurai Erode-638052, TN, India.
J Environ Health Sci Eng. 2014 Jan 10;12(1):29. doi: 10.1186/2052-336X-12-29.
Discharge of grey wastewater into the ecological system causes the negative impact effect on receiving water bodies.
In this present study, electrocoagulation process (EC) was investigated to treat grey wastewater under different operating conditions such as initial pH (4-8), current density (10-30 mA/cm2), electrode distance (4-6 cm) and electrolysis time (5-25 min) by using stainless steel (SS) anode in batch mode. Four factors with five levels Box-Behnken response surface design (BBD) was employed to optimize and investigate the effect of process variables on the responses such as total solids (TS), chemical oxygen demand (COD) and fecal coliform (FC) removal.
The process variables showed significant effect on the electrocoagulation treatment process. The results were analyzed by Pareto analysis of variance (ANOVA) and second order polynomial models were developed in order to study the electrocoagulation process statistically. The optimal operating conditions were found to be: initial pH of 7, current density of 20 mA/cm2, electrode distance of 5 cm and electrolysis time of 20 min.
These results indicated that EC process can be scale up in large scale level to treat grey wastewater with high removal efficiency of TS, COD and FC.
将灰色废水排放到生态系统中会对受纳水体造成负面影响。
本研究采用不锈钢（SS）阳极在批处理模式下，在不同操作条件下（初始 pH 值（4-8）、电流密度（10-30 mA/cm2）、电极距离（4-6 cm）和电解时间（5-25 min）），用电凝聚法（EC）处理灰色废水。采用四因素五水平 Box-Behnken 响应面设计（BBD）优化并考察了过程变量对总固体（TS）、化学需氧量（COD）和粪大肠菌群（FC）去除率等响应值的影响。
过程变量对电凝聚处理过程有显著影响。通过方差分析（ANOVA）对结果进行了帕累托分析，并建立了二阶多项式模型，以便从统计学上研究电凝聚过程。发现最佳操作条件为：初始 pH 值为 7、电流密度为 20 mA/cm2、电极距离为 5 cm 和电解时间为 20 min。
这些结果表明，EC 工艺可以在大规模水平上进行放大，以高效率去除 TS、COD 和 FC 等污染物，处理灰色废水。
