| 铁碳微电解处理染料污水的影响因素筛选与优化 |
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| 引用本文： | 韩严和,武梦雨,李菡,陈家庆,刘美丽,桑义敏.铁碳微电解处理染料污水的影响因素筛选与优化[J].环境科学研究,2016,29(8):1180-1186. |
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| 作者姓名： | 韩严和 武梦雨 李菡 陈家庆 刘美丽 桑义敏 |
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| 作者单位： | 北京石油化工学院环境工程系, 北京 102617 |
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| 基金项目： | 北京市教育委员会科技计划面上项目(KM201410017001,KM201510017008)；北京市大学生URT资助项目 |
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| 摘 要： | 为提高铁碳微电解处理染料废水中CODCr去除率,将Plackett-Burman和Box-Behnken试验设计方法相结合应用于废水处理条件的筛选与优化. Plackett-Burman设计试验结果表明:铁碳比(体积比)、反应时间和曝气量是影响铁碳微电解处理染料废水CODCr去除率的3个关键性因素. Box-Behnken试验设计方法和三维响应面分析表明,铁碳微电解处理染料废水对CODCr去除率的最优化操作条件是铁碳比为3∶2、反应时间为120 min、曝气量为40 L/min. 在该优化条件下,当ρ(CODCr)在1 000~10 000 mg/L之间变化时,CODCr去除率的试验结果均落在模型预测结果的95%置信区间(75.5%~83.3%)内,说明模型能对铁碳微电解处理结果进行良好的预测,因此具有一定的可信度.
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| 关 键 词： | 铁碳微电解 Plackett-Burman设计 响应面优化法 Box-Behnken设计 |
| 收稿时间： | 2016/2/1 0:00:00 |
| 修稿时间： | 2016/5/12 0:00:00 |
Factor Screening and Response Surface Optimization of the Treatment of Dye Wastewater Using Iron-Carbon Micro-Electrolysis |
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| HAN Yanhe,WU Mengyu,LI Han,CHEN Jiaqing,LIU Meili and SANG Yimin.Factor Screening and Response Surface Optimization of the Treatment of Dye Wastewater Using Iron-Carbon Micro-Electrolysis[J].Research of Environmental Sciences,2016,29(8):1180-1186. |
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| Authors: | HAN Yanhe WU Mengyu LI Han CHEN Jiaqing LIU Meili and SANG Yimin |
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| Affiliation: | Department of Environmental Engineering, Beijing Institute of Petrochemical Technology, Beijing 102617, China |
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| Abstract: | In order to enhance the removal rate of chemical oxygen demand (ρ(CODCr)) from dye wastewater treated by iron-carbon micro-electrolysis, Plackett-Burman and Box-Behnken experimental design methods were applied to select the influencing factors and to optimize the operational conditions, respectively. The results obtained from the Plackett-Burman designed experiments indicate that the iron/carbon ratio, reaction time and aeration rate are the three key factors significantly influencing the removal rate of ρ(CODCr). The results of the Box-Behnken designed test showed that the optimal conditions of iron-carbon micro-electrolysis treated dye wastewater were as follows:an iron/carbon ratio of 3∶2, reaction time of 120 min and aeration rate of 40 L/min. Under the conditions, the ρ(CODCr) removal efficiency fell within the 95% confidence interval (IC:75.5%-83.3%) of the model results, when ρ(CODCr) concentration ranged from 1,0 to 10,0 mg/L. This indicates that the model obtained with the 3D response surface could effectively predict the removal efficiency of iron-carbon micro-electrolysis. These results provide a way for the determination and optimization of other processes, and a theoretical basis for process design. |
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| Keywords: | iron-carbon micro-electrolysis Plackett-Burman design response surface methodology Box-Behnken design |
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