人工智能助力Fenton法降解间甲酚废水的过程优化研究  

Optimization of artificial intelligence assisted Fenton process for degradation of m-cresol wastewater

作　　者：张婧 张橙 卫皇瞾 靳海波[1] 何广湘[1] 刘一楠 马磊 ZHANG Jing;ZHANG Cheng;WEI Huang-zhao;JIN Hai-bo;HE Guang-xiang;LIU Yi-nan;MA Lei(Beijing Key Laboratory of Fuels Cleaning and Advanced Catalytic Emission Reduction Technology,College of New Materials and Chemical Engineering,Beijing Institute of Petrochemical Technology,Beijing 102617,China;Dalian Institute of Chemical Physics,Chinese Academy of Sciences,Dalian 116023,China)

机构地区：[1]北京石油化工学院新材料与化工学院,燃料清洁化及高效催化减排技术北京市重点实验室,北京102617 [2]中国科学院大连化学物理研究所,辽宁大连116023

出　　处：《现代化工》2024年第7期103-108,共6页Modern Chemical Industry

基　　金：国家自然科学基金(52100072,52100116);北京工商大学环境科学与工程双一流学科培育项目开放研究基金计划(ESE2022YB06);石家庄高层次科技创新创业人才项目(08202303)。

摘　　要：采用Fenton氧化法进行人工智能芬顿氧化处理间甲酚废水实验,考察了Fe^(2+)质量浓度、H2O2体积分数、初始pH、反应时间和间甲酚初始质量分数对降解间甲酚反应的影响,利用响应面法(RSM)和人工神经网络(ANN)分别确定降解间甲酚的最佳方案,同时对TOC去除率的关系进行拟合优化对比。结果表明,利用ANN模型并采用枚举法获取的最佳优化条件:Fe^(2+)质量浓度为0.66 g/L、H_(2)O_(2)体积分数为6.00 mL/L、初始pH为3、反应时间为23.37 min、间甲酚初始质量分数为50μg/g,此时,TOC去除率为48.14%,优于响应面法的32.16%。m-Cresol-containing wastewater is treated by using artificial intelligence assisted Fenton oxidation method.The impacts of Fe2+mass concentration,H2O2 volume fraction,initial pH,reaction time,and initial m-cresol mass fraction on m-cresol degradation are explored.The best scheme for degradation of M-cresol is determined by using response surface methodology(RSM)and artificial neural networks(ANN),respectively while the relationship with TOC removal rate is fitted to optimize and compare.The optimal conditions obtained by the ANN model combined with an enumerative method are as follows:Fe2+mass concentration is 0.66 g·L^(-1),H_(2)O_(2) volume fraction is 6.00 mL·L^(-1),initial pH is 3,reaction time is 23.37 min,and the initial mass fraction of m-cresol is 50μg·g^(-1).Under these conditions,the removal rate of TOC is 48.14%,that is 32.16%under the conditions obtained via the response surface method.

关 键 词：人工智能 人工神经网络(ANN) 芬顿 间甲酚 响应面 

分 类 号：X52[环境科学与工程—环境工程]