Abstract

This study introduces iron sludge recovered from acid mine drainage (AMD) waste, as advanced oxidation processes, that is, AMD/H₂O₂ (Fenton’s reagent) to treat vehicle-washing wastewater. Vehicle-washing wastewater was collected from car washing facility in West Virginia, USA, and subjected for laboratory-scale batch experiments. Response surface methodological analysis was chosen to optimize the parametric conditions of the Fenton’s system. A 15-level of quadratic Box-Behnken design model was applied via response surface methodology to evaluate the effects and interactions of the system variables. The optimized system variables were attained at pH 4.0 using 92 and 354 mg/L of AMD and H₂O₂ concentrations, respectively, to achieve the maximum predicted organics removals of 91.4%. Analysis of variance, which was applied for statistical data analysis, showed the significant of the quadratic models for treatment. The linear correlation between the total organic carbon (TOC) and chemical oxygen demand (COD), with sufficient accuracy, is providing the possibility of estimating COD from TOC values. Finally, the results showed that the reaction is endothermic, non-spontaneous in nature and follows the second-order reaction kinetics rate. The results of this work signify the importance of using iron from waste effluents for treating wastewater.

摘要

本研究介绍了从酸性矿山排水 (AMD) 废物中回收的铁污泥，作为高级氧化工艺，即 AMD/H ₂ O ₂（芬顿试剂）来处理洗车废水。从美国西弗吉尼亚州的洗车厂收集洗车废水，并进行实验室规模的批量实验。选择响应面方法分析来优化芬顿系统的参数条件。通过响应面方法应用 15 级二次 Box-Behnken 设计模型来评估系统变量的影响和相互作用。使用 92 和 354 mg/L 的 AMD 和 H ₂ O ₂在 pH 4.0 下获得优化的系统变量分别达到 91.4% 的最大预测有机物去除率。用于统计数据分析的方差分析显示了治疗的二次模型的显着性。总有机碳 (TOC) 和化学需氧量 (COD) 之间的线性相关性具有足够的准确性，这为根据 TOC 值估算 COD 提供了可能性。最后，结果表明该反应是吸热的，本质上是非自发的，并且遵循二级反应动力学速率。这项工作的结果表明了使用来自废水的铁来处理废水的重要性。