Mostafa Shoorangiz , Marjan Salari , Mohammad Reza Nikoo , Ali Haddadi
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引用次数: 0
Abstract
This study aims to evaluate the effectiveness of an electro-Fenton (EF) process using a sacrificial anode for the automatic supply of Fenton catalyst (Fe2+) and agent (H₂O₂) in the removal of Ciprofloxacin (CIP) antibiotic. The novelty of this research lies in the integration of Artificial Neural Networks (ANNs), specifically Multi-Layer Perceptron (ANN-MLP) and Radial Basis Function (ANN-RBF) models, to optimize and predict the responses of CIP removal rate, Chemical Oxygen Demand (COD) removal rate, and Electrical Energy Consumption (EEC). Performance metrics indicated that ANN-MLP provided superior accuracy compared to ANN-RBF and Response Surface Methodology with Central Composite Design (RSM-CCD). Sensitivity analysis highlighted the significant influence of initial pH and current intensity on CIP removal efficiency, while COD removal and EEC were notably affected by initial pH, operation time, and current intensity. Using Genetic Algorithm (GA) and Non-dominated Sorting Genetic Algorithm-II (NSGA-II) for optimization, then achieved simultaneous maximization of CIP and COD removal efficiencies alongside minimization of EEC. The optimal parameters, including a current intensity of 38.01/14.15 mA, operation time of 25/24.94 min, and initial pH of 4.81/5.20 for GA/NSGA-II, lead to average CIP and COD removal efficiencies of 91.33/76.97 % and 51.53/42.51 %, respectively, with an estimated EEC of 134.20/41.04 J under these operating conditions.
期刊介绍：
The Journal of Water Process Engineering aims to publish refereed, high-quality research papers with significant novelty and impact in all areas of the engineering of water and wastewater processing . Papers on advanced and novel treatment processes and technologies are particularly welcome. The Journal considers papers in areas such as nanotechnology and biotechnology applications in water, novel oxidation and separation processes, membrane processes (except those for desalination) , catalytic processes for the removal of water contaminants, sustainable processes, water reuse and recycling, water use and wastewater minimization, integrated/hybrid technology, process modeling of water treatment and novel treatment processes. Submissions on the subject of adsorbents, including standard measurements of adsorption kinetics and equilibrium will only be considered if there is a genuine case for novelty and contribution, for example highly novel, sustainable adsorbents and their use: papers on activated carbon-type materials derived from natural matter, or surfactant-modified clays and related minerals, would not fulfil this criterion. The Journal particularly welcomes contributions involving environmentally, economically and socially sustainable technology for water treatment, including those which are energy-efficient, with minimal or no chemical consumption, and capable of water recycling and reuse that minimizes the direct disposal of wastewater to the aquatic environment. Papers that describe novel ideas for solving issues related to water quality and availability are also welcome, as are those that show the transfer of techniques from other disciplines. The Journal will consider papers dealing with processes for various water matrices including drinking water (except desalination), domestic, urban and industrial wastewaters, in addition to their residues. It is expected that the journal will be of particular relevance to chemical and process engineers working in the field. The Journal welcomes Full Text papers, Short Communications, State-of-the-Art Reviews and Letters to Editors and Case Studies
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