响应曲面法优化絮凝处理木薯淀粉废水
Application of response surface methodology (RSM) to optimize coagulation treatment of cassava starch wastewater
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摘要: 采用中心复合实验设计和响应面分析法研究复合絮凝剂聚合氯化铝锌(PAZC)和聚合氯化铝(PAC)混凝处理木薯淀粉废水,进行设计和分析,以溶液pH值和絮凝剂用量为考察因素,分别以COD、浊度去除率为考察指标,选用最佳优化数学模型描述考察指标和考察因素之间的数学关系,并以设定PAZC和PAC对COD去除率(65%),浊度去除率(90%)和SS去除率(90%)的目标值,通过等高线叠加图预测最优实验条件,得到PAZC投量为6.5 mg/L,pH为7.7时,COD去除率和浊度去除率分别达到最大为76.6%和99.9%;PAC投量为19.2 mg/L,pH为7.8时,COD去除率和浊度去除率最大值分别为64.4%和97.1%。经对最优条件进行验证,预测值与验证实验平均值接近。Abstract: The removal efficiencies for chemical oxygen demand (COD), turbidity using a new polymer flocculent polymeric aluminum zinc chloride (PAZC) were compared with those obtained using polyaluminum chloride (PAC) as a conventional coagulant. Central composite design (CCD) and response surface method (RSM) were applied to optimize the operating variables viz. pH and coagulant dosage. Quadratic models developed for the two responses (COD and turbidity) studied and the contour plot overlaying critical response contours (65% COD removal, 90% turbidity removal and 90% SS removal) indicated the optimum conditions to be PAZC dosage of 6.5 mg/L at pH 7.7 and PAC dosage of 19.2 mg/L at pH 7.8. The experimental data and model predictions agreed well.
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