ShenHao,XinKunlun.Advances and Prospects of Artificial Intelligence Applications in Biochemical Reaction Simulation for Municipal Wastewater Treatment Plants[J].China Water & Wastewater,2026,42(14):26-34.
Advances and Prospects of Artificial Intelligence Applications in Biochemical Reaction Simulation for Municipal Wastewater Treatment Plants
China Water & Wastewater[ISSN:1000-4062/CN:12-1073/TU]
volume:
第42卷
Number:
第14期
Page:
26-34
Column:
Date of publication:
2026-07-17
- Keywords:
- artificial intelligence; machine learning; deep learning; wastewater treatment plants; biological reaction simulation
- Abstract:
- The intelligent operation of municipal wastewater treatment plants (WWTPs) is a crucial development direction in the field of water pollution control. Data-driven artificial intelligence (AI) models offer a new approach for simulating biological reactions in wastewater treatment, overcoming the limitations of traditional mechanistic models, such as structural complexity and difficult parameter calibration. This paper systematically reviews the progress of AI methods in biological reaction simulation for WWTPs, with a focus on analyzing the performance characteristics and applicable scenarios of traditional machine learning and deep learning models. The results indicate that traditional machine learning performs robustly with small datasets and in continuous-flow processes, while deep learning, leveraging its powerful capabilities in temporal modelling and feature extraction, achieves higher prediction accuracy in processes with strong dynamics or complex mechanisms. Current research still faces challenges including poor model interpretability, lack of input of key control parameters, and strong dependence on data quality. Future efforts should promote the integration of mechanism and data, construct control-oriented intelligent models, and achieve the leap from prediction to optimized decision- making, thereby providing key technological support for the intelligent and low-carbon operation of wastewater treatment plants.
Last Update:
2026-07-17