Publication Details
Abstract
The integration of Artificial Intelligence (AI) technologies into wastewater management systems is revolutionizing the way we treat and monitor water resources. Smart wastewater management utilizes machine learning, data analytics, and real-time sensors to optimize treatment processes, reduce operational costs, and enhance environmental sustainability. AI-based models can predict contaminant levels, detect system malfunctions, and recommend adaptive control strategies. Current trends show increasing implementation of AI in decentralized and automated treatment facilities. This paper explores the key applications of AI in wastewater treatment, highlights recent technological advancements, and discusses the potential future impacts of AI on achieving more efficient and resilient water management systems.