Abstract：Mathematical simulation technology (MST) has been widely applied in wastewater treatment, therefore, in order to systematically summarize these related technologies, this study reviewed the development of MST in sewage treatment system, and the application of activated sludge model (ASM) and machine learning (ML) in water quality prediction and parameter optimization; In addition, this paper mainly discussed the models of greenhouse gas emission in sewage treatment system, and the trade-off of multi-objective optimization model in sewage treatment system with the objectives of greenhouse gas emission (GHG), effluent quality (EQI) and operating cost (OCI). Furthermore, this paper also summarized the development of MST to achieve the energy self-sufficiency and resource recovery of sewage plant. The results from this study showed that MST can accurately predict the effluent quality, quickly optimize the process parameters, weigh the relationship among greenhouse gas emission, effluent quality and the operation cost, and improve the resource recovery efficiency. Overall, MST can effectively guide the operation optimization and management of sewage treatment process, and ultimately provide technical supports for the synergy of pollution reduction and carbon reduction in sewage treatment industry.
陈治池, 何强, 蔡然, 罗华瑞, 罗南, 宋忱馨, 程鸿. 碳中和趋势下数学模拟在污水处理系统中的发展与综合应用[J]. 中国环境科学, 2022, 42(6): 2587-2602.
CHEN Zhi-chi, HE Qiang, CAI Ran, LUO Hua-rui, LUO Nan, SONG Chen-xin, CHENG Hong. Development and comprehensive application of mathematical simulation in sewage treatment system under the trend of carbon neutralization. CHINA ENVIRONMENTAL SCIENCECE, 2022, 42(6): 2587-2602.
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