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首页> 外文期刊>The Science of the Total Environment >Optimization of integrated ultrasonic-Fenton system for metal removal and dewatering of anaerobically digested sludge by Box-Behnken design
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Optimization of integrated ultrasonic-Fenton system for metal removal and dewatering of anaerobically digested sludge by Box-Behnken design

机译:基于Box-Behnken设计的厌氧消化污泥金属去除和脱水集成超声波-Fenton系统的优化

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摘要

This study reveals the optimization of ultrasonic-Fenton process for the treatment of sludge taken from a local municipal wastewater treatment plant after anaerobic digestion. Box-Behnken design (BBD), a common approach of response surface methodology (RSM), was applied to evaluate and optimize the individual and interactive effects of three process variables, namely Fe2+ dose, H2O2 amount and sonication time for Fenton-ultrasonication method. Five dependent parameters including total organic carbon (TOC), extracellular polymeric substances (EPS), as LB-EPS and TB-EPS, and metals such as Zn and Cu were considered as the responses to investigate. According to the results of analysis of variances (ANOVA), five modelling equations are proposed that can be used to operate the design space with high regression coefficient R-2. Modelling results suggest that Fenton parameters, such as: H2O2 and Fe2+ dosage had the significant effects on the overall removal of TOC; whereas, sonication improved the metal removal from the sludge sample. Based on response surface methodology, best performance is achievable under the following conditions: 36 mM of Fe2+, 320 mM H2O2 with 30 min of sonication respectively for all of the responses. (C) 2018 Elsevier B.V. All rights reserved.
机译:这项研究揭示了厌氧消化后,超声波-Fenton工艺用于处理从当地市政废水处理厂提取的污泥的优化。 Box-Behnken设计(BBD)是响应面方法(RSM)的一种常用方法,用于评估和优化Fenton-超声法的三个过程变量(Fe2 +剂量,H2O2量和超声处理时间)的个体和交互作用。五个相关参数包括总有机碳(TOC),细胞外聚合物(EPS)(如LB-EPS和TB-EPS)以及金属(如Zn和Cu)被视为研究的响应。根据方差分析(ANOVA)的结果,提出了五个建模方程,可用于操作具有高回归系数R-2的设计空间。建模结果表明,Fenton参数,例如:H2O2和Fe2 +的添加量对TOC的整体去除有显着影响;而超声处理可以改善污泥样品中的金属去除率。基于响应面方法,在以下条件下可获得最佳性能:对于所有响应,分别使用36 mM的Fe2 +,320 mM的H2O2和30分钟的超声处理。 (C)2018 Elsevier B.V.保留所有权利。

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