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Pre-treatment of ammonia-nitrogen (NH_3–N) removal from scheduled waste leachate by air stripping

机译:通过气提从排污废水中去除氨氮(NH_3-N)的预处理

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The effect of lime dosage, pH and air flow rate on the removal process of NH3-N from a scheduled waste landfill leachate was investigated by using a lab-scale air stripping column. The main objectives were to reduce NH3-N concentration prior further biological treatment and to investigate factors affecting air stripping processes. A central composite design (CCD) of response surface methodology (RSM) was employed to optimize the parameters affecting NH3-N removal from the leachate. It was observed that the optimal conditions obtained from desirable response (NH3-N removal) were predicted at lime dosage of 9.8 g L-1, pH = 11 and air flow rate of 2.25 L min(-1). Quadratic RSM predicted the maximum NH3-N removal to be 96.5% at these optimal conditions and concurred with the experiments which successfully removed 96.3% of NH3-N within 24 h. This study shows that the RSM could successfully predict the degree of NH3-N removal. The findings suggest that RSM approach was feasible for optimizing the air stripping process for NH3-N removal from scheduled waste landfill leachate in laboratory scale. Based on the obtained results, air stripping process can be used as an efficient pre-treatment for removal of NH3-N in scheduled waste leachate.
机译:使用实验室规模的气提塔,研究了石灰用量,pH和空气流速对从计划的垃圾填埋场渗滤液中去除NH3-N的影响。主要目标是在进一步生物处理之前降低NH3-N的浓度,并研究影响空气汽提过程的因素。采用响应表面方法(RSM)的中央复合设计(CCD)来优化影响从渗滤液中去除NH3-N的参数。观察到,在9.8 g L-1的石灰剂量,pH = 11和2.25 L min(-1)的空气流量的条件下,可以预测到从理想响应(除去N3-N)获得的最佳条件。二次方RSM预测在这些最佳条件下最大NH3-N去除率为96.5%,并同意在24小时内成功去除96.3%NH3-N的实验。这项研究表明,RSM可以成功预测NH3-N的去除程度。研究结果表明,RSM方法对于优化实验室规模排污垃圾渗滤液中的NH3-N去除空气去除工艺是可行的。根据获得的结果,气提工艺可作为一种有效的预处理方法,用于去除计划废渗滤液中的NH3-N。

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