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作 者:荣俊锋[1,2] 朱佳丽 赵彬彬 潘帆 张成援 陈明功 RONG Junfeng;ZHU Jiali;ZHAO Binbin;PAN Fan;ZHANG Chengyuan;CHEN Minggong(School of Chemical and Blasting Engineering,Anhui University of Science and Technology,Huainan 232001,China;Anhui Provincial International Joint Research Center of Modern Environmental Engineering,Huainan 232001,China)
机构地区:[1]安徽理工大学化工与爆破学院,淮南232001 [2]安徽省现代环境工程国际联合研究中心,淮南232001
出 处:《辐射研究与辐射工艺学报》2025年第2期86-97,共12页Journal of Radiation Research and Radiation Processing
基 金:安徽省现代环境工程国际联合研究中心(安徽理工大学)开放基金重点项目(XDHJGC2022002);安徽理工大学专利转化培育项目(ZL201902);国家级、省级大学生创新创业项目(202410361047、S202410361106)。
摘 要:采用介质阻挡放电产生低温等离子体协同催化处理腈纶废水。以水热合成法合成了K_(2)Fe_(4)O_(7)固体催化剂,并对其进行了X射线衍射仪和扫描电子显微镜表征。以中国石化安庆分公司废水水样为实验水样,以化学需氧量(COD)、浊度为指标。首先验证了催化剂的活性,然后在单因素实验基础上,以放电电压、催化剂添加量、pH这3个因素采用响应面法优化实验。实验获得最佳反应参数:放电电压40 kV,催化剂添加量0.05 g,pH为2,预测最优腈纶废水COD降解率为77.43%,浊度去除率为91.14%。为验证模型准确性,在预估最优实验条件下进行3组实验测定腈纶废水COD降解率为77.34%,浊度去除率为91.11%,该模型应用于本研究准确度较高。该研究为石化废水净化提供了新的思路。The co-catalytic treatment of acrylic fiber wastewater using low-temperature plasma generated by a dielectric barrier discharge was studied.The solid catalyst K_(2)Fe_(4)O_(7)was synthesized by hydrothermal synthesis and characterized by X-ray diffraction and scanning electron microscopy.Wastewater samples from Sinopec Anqing Branch were used as experimental water samples,and chemical oxygen demand(COD)and turbidity were used as indices.The activity of the catalyst was first verified.Thereafter,based on a single factor experiment,a response surface method was used to optimize the test based on discharge voltage,amount of catalyst addition,and pH.The optimal response parameters were obtained as a discharge voltage of 40 kV,catalyst addition amount of 0.05 g,and pH of 2.The predicted COD degradation and turbidity removal rates of the optimal acrylic fiber wastewater were 77.43%and 91.14%,respectively.To verify the accuracy of the model,three sets of experiments were conducted under the predicted optimal experimental conditions to determine the COD degradation rate of acrylic fiber wastewater as 77.34%and turbidity removal rate as 91.11%.The accuracy of the model used in this study is relatively high.This study provides a novel approach for the purification of petrochemical wastewater.
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