Decolorization of Azo Dye Solution by Ozone Based Advanced Oxidation Processes: Optimization Using Response Surface Methodology and Neural Network
Author:
Affiliation:
1. Chemical Engineering Department, Ujjain Engineering College, Ujjain, 456006, India
Publisher
Informa UK Limited
Subject
Environmental Chemistry,Environmental Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/01919512.2020.1714426
Reference26 articles.
1. Response surface methodology (RSM) as a tool for optimization in analytical chemistry
2. Cost analysis for the degradation of highly concentrated textile dye wastewater with chemical oxidation H2O2/UV and biological treatment
3. Modelling dye removal by adsorption onto water treatment residuals using combined response surface methodology-artificial neural network approach
4. Modelling of lead adsorption from industrial sludge leachate on red mud by using RSM and ANN
Cited by 40 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Comparative analysis of dye degradation methods: unveiling the most effective and environmentally sustainable approaches, a critical review;Reviews in Inorganic Chemistry;2024-09-02
2. Performance Evaluation of Benzyl Alcohol Oxidation with tert-Butyl Hydroperoxide to Benzaldehyde Using the Response Surface Methodology, Artificial Neural Network, and Adaptive Neuro-Fuzzy Inference System Model;ACS Omega;2024-07-29
3. Application of artificial intelligence for the optimization of advanced oxidation processes to improve the water quality polluted with pharmaceutical compounds;Chemosphere;2024-03
4. Photocatalytic ozonation using Fe doped TiO2 nanoparticles for decolorization of azo dye Optimization using RSM;2024-02-13
5. A comparative study of response surface methodology and artificial neural network based algorithm genetic for modeling and optimization of EP/US/GAC oxidation process in dexamethasone degradation: Application for real wastewater, electrical energy consumption;Chemosphere;2024-02
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3