ORIGINAL RESEARCH
Optimization of CW-MFC System for Fish
Wastewater Treatment by Response
Surface Methodology
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1
College of environmental science and engineering, Guilin university of technology, Guilin, 541004, China
2
Guangxi Key Laboratory of Theory and Technology for Environmental Pollution Control, Guilin University of Technology,
Guilin, 541006, China
3
School of Chemical Engineering and Environment, Weifang University of Science and Technology, Weifang 262700, China
4
Collaborative Innovation Center for Water Pollution Control and Water Safety in Karst Area, Guilin University of Technology,
Guilin 541004, Guangxi, China
5
Guangxi Key Laboratory of Green Preparation and Application of Inorganic Materials, Laibin 546199, Guangxi, China
Submission date: 2024-02-22
Final revision date: 2024-06-08
Acceptance date: 2024-06-30
Online publication date: 2024-10-07
Corresponding author
Shaohong You
College of environmental science and engineering, Guilin university of technology, Guilin, 541004, China
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ABSTRACT
Freshwater fish farming in China is conducted on a large scale with a high degree of intensification,
resulting in substantial wastewater production that leads to eutrophication and ecological pollution of
surrounding water bodies. This article focuses on a constructed wetland coupled with a microbial fuel
cell (CW-MFC) system, utilizing a Box-Behnken design and response surface methodology to optimize
operating conditions (hydraulic retention time, external resistance, and aeration rate) and removal
efficacy in treating fish farming wastewater. The results indicate that the optimal operating conditions
were an HRT of 3.19 days, an external resistance of 704.06 Ω, and an aeration rate of 5.30 L/min. Under
these conditions, the actual removal rates for COD, NH4
+-N, and TN were 95.03%, 95.22%, and 93.48%,
respectively. The optimized operating conditions increased the abundance and stability of the microbial
community, enhanced the relative abundance of electricity-producing and denitrifying bacteria,
and improved pollutant removal efficacy.