Water is an essential resource for life, health, agriculture, and industry. As urbanization, industrialization, and climate change intensify, ensuring clean and safe water becomes increasingly complex. Traditional water treatment processes, while reliable, face challenges such as aging infrastructure, operational inefficiencies, increasing demand, and variable water quality. In response to these pressures, technological innovation has become a crucial enabler for sustainable water management.

 

Artificial Intelligence (AI) has emerged as a transformative force across various industries, including healthcare, finance, manufacturing, and energy. In recent years, AI’s application in environmental engineering and water treatment has gained momentum. The integration of AI in water treatment plants (WTPs) offers powerful tools for optimizing processes, reducing operational costs, ensuring compliance with regulations, and improving decision-making in real time. ARTIFICIAL INTELLIGENCE BENEFITS IN WATER TREATMENT PLANT

 

This paper explores the multifaceted applications of artificial intelligence in water treatment plants. It delves into how AI technologies, such as machine learning, deep learning, and predictive analytics, are revolutionizing conventional treatment methodologies. It further examines real-world use cases, challenges in adoption, future opportunities, and the ethical considerations surrounding the deployment of intelligent systems in critical infrastructure.