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Modeling and Optimization of New Flocculant Dosage and pH for Flocculation: Removal of Pollutants from Wastewater

机译:用于絮凝的新型絮凝剂剂量和pH值的建模和优化:去除废水中的污染物

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In this paper, a new ferric chloride-(polyvinylpyrrolidone-grafted-polyacrylamide) hybrid copolymer was successfully synthesized by free radical polymerization in solution using ceric ammonium nitrate as redox initiator. The hybrid copolymer was characterized by Fourier transform infrared spectroscopy (FTIR) and scanning electron microscopy (SEM). Response surface methodology (RSM), involving central composite design (CCD) matrix with two of the most important operating variables in the flocculation process; hybrid copolymer dosage and pH were utilized for the study and for the optimization of the wastewater treatment process. Response surface analyses showed that the experimental data could be adequately fitted to quadratic polynomial models. Under the optimum conditions, the turbidity and chemical oxygen demand (COD) removal efficiencies were 96.4% and 83.5% according to RSM optimization, whereas the optimum removals based on the genetic algorithm (GA) were 96.56% and 83.54% for the turbidity and COD removal models. Based on these results, wastewater treatment using this novel hybrid copolymer has proved to be an effective alternative in the overseeing of turbidity and COD problems of municipal wastewater.
机译:以硝酸铈铵为氧化还原引发剂,通过自由基聚合反应成功地合成了氯化铁-(聚乙烯吡咯烷酮接枝聚丙烯酰胺)杂化共聚物。通过傅里叶变换红外光谱(FTIR)和扫描电子显微镜(SEM)对杂化共聚物进行了表征。响应面方法(RSM),涉及中央复合设计(CCD)矩阵,其中包括絮凝过程中两个最重要的操作变量;杂化共聚物的用量和pH值用于研究和优化废水处理工艺。响应面分析表明,实验数据可以适当地拟合二次多项式模型。在最佳条件下,通过RSM优化,浊度和化学需氧量(COD)去除效率分别为96.4%和83.5%,而基于遗传算法(GA)的最佳浊度和COD去除率分别为96.56%和83.54%移除模型。基于这些结果,已证明使用这种新型杂化共聚物处理废水是监督市政废水的浊度和COD问题的有效替代方法。

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