Experimental study on surface optimization of dosage in magnetic coagulation process for enhancing primary treatment of urban sewage
Year: 2024
Type: article
Abstract: This work aims to investigate the minimum dosage required to achieve optimal removal of carbon, nitrogen, and phosphorus in the Chemical Enhanced Primary Treatment (CEPT) process using magnetic coagulation technology. A response surface methodology was adopted to generate multiple regression models to optimize the dosages of three types of coagulation, i.e., polyaluminum chloride (PAC), polyacrylamide (PAM), and magnetic medium Fe 3 O 4 particles (MP), based on the removal rates of chemical oxygen demand (COD), ammonia nitrogen (NH 3 -N), and total phosphorus (TP). The results showed that the regression models could predict results well with actual engineering results. Compared to the traditional coagulation process, the synergistic enhancement of PAC+PAM+MP in the CEPT process significantly improved the treatment effects. Based on the COD removal rates, PAC performed better than MP, followed by PAM; likewise, for the NH 3 -N and TP removal rates, PAC outperformed PAM, followed by MP. The optimized PAC, PAM, and MP dosages were 135.87, 1.51, and 108.36 mg/L, respectively, reaching 92.27 % COD, 71.98 % NH 3 -N, and 91.33 % TP removal rates with less than 5 % errors compared to the experimental verification results. These optimization models offer a practical and cost-saving reference for enhancing the primary treatment effect on carbon, nitrogen, and phosphorus removal using PAC+PAM+MP. • In this work, magnetic coagulation technology was integrated into the CEPT process. • A response surface method was adopted to optimize the magnetic coagulation process. • The interactions of PAC+PAM+MP in the CEPT process improved the treatment effects. • These models facilitate precise control of dosing systems in sewage treatment plant.
Source: Desalination and Water Treatment
Authors: Kaiqing Fan, Chunyan Zhu, Guihua Chen, Xiaoyan Zhu, Jing Wang, Feng Liu
Language: English
Subfield: Water Science and Technology
Field: Environmental Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,000
OpenAlex ID: W4402654319
