The Handbook of Artificial Intelligence in Water Management explores the intersection of artificial intelligence (AI) technologies and water management strategies aimed at achieving net zero emissions. It delves into the cutting-edge applications of AI in various facets of water resource management, ranging from optimizing water distribution systems to enhancing wastewater treatment processes.

Explaining how AI-enabled water quality monitoring systems enable faster response times to water quality issues, this book presents a wide range of AI-driven innovations from smart sensors and real-time monitoring systems to intelligent decision support tools. By leveraging advanced AI algorithms, machine learning techniques, and predictive analytics, water managers can optimize water usage, minimize energy consumption, and reduce greenhouse gas emissions across the entire water cycle for an efficient, resilient, and environmentally sustainable future. Case studies and real-world examples are included to provide a framework for implementing innovative approaches.

This book is a valuable resource for advanced undergraduate students, researchers, and industry professionals interested in utilizing AI to mitigate environmental impacts, enhance resilience, and achieve net zero emissions in water management.