Improving Formaldehyde Removal from Water and Wastewater by Fenton, Photo-Fenton and Ozonation/Fenton Processes through Optimization and Modeling

Water

John L. Zhou¹  Teng Bao¹  Ali Altaee¹  Ahmad Hosseinzadeh¹  Navid Ramezanian²  Ali Asghar Navaei³  Ali Asghar Najafpoor³  Aliakbar Dehghan³  Mohsen Yazdani⁴ 

[1] Centre for Green Technology, School of Civil and Environmental Engineering, University of Technology, Sydney, NSW 2007, Australia;Department of Chemistry, Faculty of Science, Ferdowsi University of Mashhad, Mashhad 9177948974, Iran;Social Determinants of Health Research Center, Department of Environmental Health Engineering, Mashhad University of Medical Sciences, Mashhad 9138813944, Iran;Student Research Committee, Department of Environmental Health Engineering, School of Public Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz 6135733184, Iran;

关键词: formaldehyde removal;    wastewater;    photo-Fenton;    ozonation;    artificial neural network;   

DOI  :  10.3390/w13192754

来源: DOAJ

【 摘 要 】

This study aimed to assess, optimize and model the efficiencies of Fenton, photo-Fenton and ozonation/Fenton processes in formaldehyde elimination from water and wastewater using the response surface methodology (RSM) and artificial neural network (ANN). A sensitivity analysis was used to determine the importance of the independent variables. The influences of different variables, including H₂O₂ concentration, initial formaldehyde concentration, Fe dosage, pH, contact time, UV and ozonation, on formaldehyde removal efficiency were studied. The optimized Fenton process demonstrated 75% formaldehyde removal from water. The best performance with 80% formaldehyde removal from wastewater was achieved using the combined ozonation/Fenton process. The developed ANN model demonstrated better adequacy and goodness of fit with a R² of 0.9454 than the RSM model with a R² of 0. 9186. The sensitivity analysis showed pH as the most important factor (31%) affecting the Fenton process, followed by the H₂O₂ concentration (23%), Fe dosage (21%), contact time (14%) and formaldehyde concentration (12%). The findings demonstrated that these treatment processes and models are important tools for formaldehyde elimination from wastewater.

【 授权许可】

Unknown