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September 8, 2026ChemBioEng Reviews

The Role of AI in Municipal Wastewater Treatment and Management: A Comprehensive Review

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Authors

AOAbdulrazak Jinadu OtaruIBIsaac Alhamdu BabaOAOmoniyi Babajide Awe

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Overview

Review reveals how artificial intelligence optimizes municipal wastewater operations, indicating major potential for real-time plant supervision and resource recovery.

Key Points

  • To comprehensively evaluate the application, integration, and challenges of artificial intelligence methods across various treatment stages in municipal wastewater treatment plants.
  • Synthesized research on artificial intelligence architectures—including machine learning, deep learning, reinforcement learning, evolutionary optimization, and hybrid mechanistic models—applied to wastewater treatment.
  • Assessed performance across activated sludge processes, membrane bioreactors, anaerobic digestion, sludge management, and plant-wide supervisory control systems.
  • AI applications in municipal plants are actively transitioning from predictive soft-sensing toward automated supervisory control, including aeration optimization, coagulant dosing, and sludge dewatering.
  • No single AI architecture consistently outperforms others across all operational processes, with performance heavily constrained by facility design, data quality, and sensor reliability.
  • Widespread deployment of fully autonomous plant-level control remains limited by barriers in SCADA integration, cross-plant generalizability, cybersecurity, and model interpretability.

Cite This Study

Otaru et al. (2026) studied this question.

synapsesocial.com/papers/6a9fd80458e84d0ff5b4730bhttps://doi.org/10.1002/cben.70068
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  1. 1An Overview of the Latest Developments and Potential Paths for Artificial Intelligence in Wastewater Treatment Systems2025
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