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. This book includes case studies and real‑world examples 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.
Table of Contents
Introduction: Understanding Artificial Intelligence
Part I: Water Quality and Resource Management
1. SDG and Water: Artificial Intelligence Nexus.
Saithala Mounika, BB Nayak, M Ramesh Naik, and Bhargavi
2. Urban Water Management Challenges and Solutions.
Yi Ka Fong, Hong Yee Kek, Huiyi Tan, Mohd Hafiz Dzarfan Othman, Sien Jie Wong, Mohamad Nur Hidayat Mat, Yoon Tung Chan, and Keng Yinn Wong
3. Machine Learning, IoT, and GIS for Water Quality Monitoring.
Huiyi Tan, Mohd Hafiz Dzarfan Othman, Fong Chi Chan, Hong Yee Kek, Kok Sin Woon, Ruzairi Abdul Rahim, Sien Jie Wong, Elmy Johana Mohamad, and Keng Yinn Wong
4. Advantages and Challenges of AI-Driven Water Quality Monitoring.
Jerome P. Romero, Liliane M. Suarez, Joan Cecilia C. Casila, and Eric B. Casila
5. Artificial Intelligence in Water Resource Management.
Durgam Venkatesh, Gaini Sairam, Gandi Rupa, C Sudha Rani, C Sudhakar, and T Rajeshwar Reddy
6. Water Management in the Context of Net Zero Emissions.
Sherwin P. De Jesus, Claudette Joyce B. Mendina, and Joan Cecilia C. Casila
7. Artificial Intelligence for Global Water Security and Management.
Saikat Biswas, Pritha Kundu, and Rupa Das
8. Smart Water Infrastructure.
Chunchu Suchith Kumar, Neroju Manasa, Guda Bhargavi, and Arunabha Pal
Part II: Applications in Agriculture
9. Smart Technologies to Achieve Net Zero Emissions in Food Production Systems.
Joan Cecilia C. Casila, Kanta Kobayashi, Joseph Conrad M. Li, and Eric Jay F. Bulalacao
10. AI-Integration for Irrigation Optimization.
Tri Retnaningsih Soeprobowati and Ovide Decroly Wisnu Ardhi
11. Precision Agriculture and Water Efficiency: Predictive Analytics, Irrigation Scheduling, and Weather Forecasting Models.
Suresh Babu, Bhargavi G, B B Nayak, and Suchith Kumar
Part III: Climate Action and Conservation
12. Aquatic Ecosystem Preservation using Artificial Intelligence.
Doaa A. El-Emam and Menna A. Shata
13. Artificial Intelligence and Water Conservation.
Thulisekari Prasanna, G.Bhargavi, and Burra Shyamsunder
14. Floodplain Width Prediction in Flood Disaster Management.
Mohammad Uzair Anwar Qureshi, Isa Ebtehaj, and Hossein Bonakdari
15. K-Means Clustering: Geometric Design of Double-Arch Dams.
Enrico Zacchei and José Luis Molina
16. Water Security in a Changing World: Harnessing AI to Mitigate Climate Change Impacts.
Joan Cecilia C. Casila, Luisito C. Abueg, Liliane M. Suarez, Sherwin P. De Jesus, Claudette Joyce B. Mendina, and Jerome P. Romero
17. Building Climate-Resilient Water Systems: Challenges, Solutions, and AI-Driven Strategies.
Doaa A. El-Emam
18. Future Trends and Emerging Technologies in the Integration of AI and Water Management.
Soufiane Haddout and Tonni Agustiono Kurniawan
Conclusion
