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Optimization of Coagulation-Flocculation Process for Automotive Wastewater Treatment using Response Surface Methodology

机译:响应面法优化混凝-絮凝工艺处理汽车废水

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This study was conducted to assess the optimization of the coagulation-flocculation process and to investigate the interactive effects of experimental factors in automotive wastewater treatment. Based on the coagulation-flocculation process, an automotive wastewater was treated using polyaluminium chloride as the coagulant and anionic polyacrylamide as the flocculant. Response surface methodology was applied to optimize the operating variables: coagulant dosage, flocculant dosage and pH. We found that the optimum conditions for chemical oxygen demand removal (73.7%) were, a coagulant dosage of 73.3 mg/L, a flocculant dosage of 3.46 mg/L and pH 7.45. The optimum conditions for the removal of heavy metals (Fe, Cr, Cu) were, a coagulant dosage range of 65.26-170.9 mg/L, a flocculant dosage of 5.36 mg/L, and pH 6.13 (with 78.7-99.7% of heavy metals removal). The experimental data and predicted model proved that RSM is a suitable approach for optimizing the coagulation-flocculation process in automotive wastewater treatment.
机译:进行这项研究以评估混凝-絮凝工艺的优化,并研究实验因素在汽车废水处理中的相互作用。基于混凝-絮凝工艺,以聚氯化铝为絮凝剂,阴离子聚丙烯酰胺为絮凝剂,处理汽车废水。应用响应面方法优化了操作变量:凝结剂用量,絮凝剂用量和pH值。我们发现去除化学需氧量的最佳条件(73.7%)是:凝结剂用量为73.3 mg / L,絮凝剂用量为3.46 mg / L,pH为7.45。去除重金属(Fe,Cr,Cu)的最佳条件是:凝结剂剂量范围为65.26-170.9 mg / L,絮凝剂剂量为5.36 mg / L,pH值为6.13(重金属含量为78.7-99.7%)金属去除)。实验数据和预测模型证明,RSM是优化汽车废水处理中的混凝-絮凝工艺的合适方法。

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