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主办单位:煤炭科学研究总院有限公司、中国煤炭学会学术期刊工作委员会
O3催化氧化深度处理焦化废水生化尾水影响因素
  • Title

    Influencing factors of advanced treatment of biochemical tail water of coking wastewater by O3 catalytic oxidation

  • 作者

    陈雷周晟葆徐炎华孙文全孙永军

  • Author

    CHEN Lei,ZHOU Shengbao,XU Yanhua,SUN Wenquan,SUN Yongjun

  • 单位

    南京工业大学 环境科学与工程学院南京工业大学 城市建设学院

  • Organization
    School of Environmental Science and Engineering,Nanjing Tech University; College of Urban Construction,Nanjing Tech University
  • 摘要

    为研究O3催化氧化技术深度处理焦化废水生化尾水的影响因素,利用自主设计的O3固定床反应器试验装置,通过单因素试验探究了废水COD、反应pH、H2O2质量分数、催化剂填充比(催化剂质量与废水质量之比)以及反应温度对O3催化氧化焦化废水生化尾水的影响。此外,借助数学优化和分析模型预测、对比和分析各个因素对COD和苯酚去除率的交互影响和相关性。以单因素试验为基础,结合响应面优化的Box-Behnken Design 模型,深入分析了pH、催化剂填充比、H2O2质量分数对O3催化氧化焦化废水生化尾水的影响强度,通过二次回归模型证明该模型的高度拟合性。单因素试验结果表明,废水COD的最佳去除率为57.72%,此时的反应条件为:COD质量浓度为120 mg/L,反应pH为6.0,O3质量浓度为100 mg/L,O3质量流量为1.56 mg/min,催化剂填充比为5∶1,过氧化氢质量分数为0.08%。响应面优化模型结果表明pH和催化剂填充比的交互影响最强,对最终的去除率贡献值较大;二次多项式模拟的相关系数较高,为R2=0.964 6,表明该模型拟合度较高。采用GC-MS进一步分析了O3固定床深度处理焦化废水生化尾水过程中有机成分的变化,结果证实,经过O3催化氧化处理后,废水中的大分子有机物已转变为分子量较小的物质,部分试验中检测不到苯酚的存在,O3催化氧化对焦化废水生化尾水中的COD和苯酚有较显著的去除效果。

  • Abstract

    In order to study the influencing factors of the ozone catalytic oxidation technology for the deep treatment of the biochemical tailings of coking wastewater,the effect of COD of wastewater,the reaction pH,the amount of hydrogen peroxide dosage,the catalyst dosing ratio and reaction temperature on the biochemical tailings of ozone-catalyzed oxidized coking wastewater was explored by means of a single factor test using an independently designed ozone fixed bed reactor test device.In addition,with the help of mathematical optimization and analysis models,the interactive effects and correlations of various factors on COD and phenol removal rates are predicted,compared,and analyzed.Based on the single-factor test and the Box-Behnken Design model with response surface optimization,the influence intensity of pH,catalyst filling ratio,and hydrogen peroxide dosage on the biochemical tailings of ozone-catalyzed coking wastewater was analyzed in depth.The model proves that the model is highly fit.The single factor test results showed that the optimal removal rate of wastewater COD was 57.72%.The reaction conditions at this time were:The COD is 120 mg/L,the reaction pH is 6.0,the mass concentration of O3 is 100 mg/L,the mass flow of ozone O3 is 1.56 mg/min,the catalyst dosage ratio (catalyst quality and wastewater quality ratio) is 5∶1,and the mass fraction of hydrogen peroxide is 0.08%.The response surface optimization model results show that the interaction between pH and catalyst dosing ratio is the strongest,and it contributes a large value to the final removal rate.The correlation coefficient of the quadratic polynomial simulation is high,which is R2=0.964 6,indicating that the model has a high degree of fit.GC-MS was used to further analyze the changes of organic components during the ozone fixed bed advanced treatment of the coking wastewater biochemical tail water.The results confirmed that after ozone catalytic oxidation treatment,the macromolecular organic compounds in the wastewater had been converted to smaller molecular weight substances.The presence of phenol was not detected in part of the test,and the ozone-catalyzed oxidation of COD and phenol in the biochemical tail water of the coking wastewater had a significant removal effect.

  • 关键词

    O3催化氧化焦化废水尾水响应面优化模型固定床深度处理

  • KeyWords

    ozone catalytic oxidation;coking wastewater tail water;response surface model optimization;fixed bed advanced treatment

  • 基金项目(Foundation)
    国家重点研发计划资助项目(2017YFB0602500);江苏省第十五批“六大人才高峰”高层次人才资助项目(JNHB-038)
  • 文章目录

    1 材料与方法

       1.1 注水系统及设备选型

       1.2 O3催化氧化实验

    2 结果与讨论

       2.1 O3催化氧化处理生化尾水

       2.2 O3催化氧化处理生化尾水的数学优化模型

    3 结论

  • 引用格式
    陈雷,周晟葆,徐炎华,等.O3催化氧化深度处理焦化废水生化尾水影响因素[J].煤炭学报,2020,45(S2):1032-1040.
    CHEN Lei,ZHOU Shengbao,XU Yanhua,et al.Influencing factors of advanced treatment of biochemical tail water of coking wastewater by O3 catalytic oxidation[J].Journal of China Coal Society,2020,45(S2):1032-1040.
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