Artificial Intelligence for Sustainable Water Engineering

A Socioeconomic Perspective
1. Auflage 2026
ISBN: 978-1-041-22377-1
Verlag: Taylor & Francis Ltd

Buch, Englisch, 240 Seiten, Format (B × H): 178 mm x 254 mm

Reihe: Smart Technologies for Water Engineering & Sustainability

This book aims to explore multidisciplinary perspectives on how AI can support innovation in water engineering and climate adaptation strategies. It brings together contributions from experts in environmental science, hydrology, data science, and sustainability studies to showcase state-of-the-art applications, identify limitations, and envision future directions where AI becomes a cornerstone of water resilience and climate-smart planning.

Water is one of the most critical resources for life, economic development, and environmental balance. However, increasing pressures from climate change, population growth, and urbanization are making water management more complex, uncertain, and fragile. In this context, Artificial Intelligence (AI) has emerged as a powerful technological ally, capable of transforming how we model, manage, and preserve water resources. The book aims to bridge the gap between data science, engineering, and policymaking by showcasing innovative AI-driven solutions that address water-related challenges in the context of global sustainability goals.

This book can serve as a valuable resource for students interested in artificial intelligence, environmental engineering, climate science, and sustainable development. Additionally, it can be a key reference for researchers and academics as it compiles the latest advancements and interdisciplinary approaches in these fields.

Zielgruppe

Academic, Postgraduate, and Professional Reference

Autoren/Hrsg.

Redouane, Kaiss

Zakaria, Benjouid

Yamani, Rachida El

Kumar, Mukesh

Kaushik, Keshav

Yadav, Ajar Nath

Fachgebiete

• Geowissenschaften Umweltwissenschaften Umwelttechnik
• Technische Wissenschaften Technik Allgemein Industrial Engineering
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Drahtlostechnologie
• Technische Wissenschaften Umwelttechnik | Umwelttechnologie Umwelttechnik
• Technische Wissenschaften Umwelttechnik | Umwelttechnologie Wasserversorgung, Wasseraufbereitung
• Technische Wissenschaften Energietechnik | Elektrotechnik Alternative und erneuerbare Energien
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Technische Mechanik | Werkstoffkunde Hydraulik, Pneumatik
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Halb- und Supraleitertechnologie
• Technische Wissenschaften Bauingenieurwesen Bauingenieurwesen
• Technische Wissenschaften Bauingenieurwesen Hochwasserschutz (Bauingenieurwesen)

Inhaltsverzeichnis

Chapter 1. AI and Sustainable Water Economics—An Introduction. Chapter 2. AI in Agriculture Water Use: Economic Impacts and Efficiency Gains. Chapter 3. Water, Climate Change, and Economic Resilience: A Data-Driven Perspective. Chapter 4. AI for Green Economic Planning and Risk Reduction. Chapter 5. Evaluating the Socio-Economic Impact of Water Scarcity using Artificial Intelligence. Chapter 6. AI in Public Policy for Water and Climate Governance. Chapter 7. Digital Transformation and Economic Innovation in the Water Sector in the MENA Region. Chapter 8. Challenges and opportunities for AI in Emerging Economics. Chapter 9. AI in Agricultural Water Use: Economic Impacts and Efficiency Gains. Chapter 10. Evaluating the Socio-Economic Impacts of Water Scarcity Using AI. Chapter 11. AI in Public Policy for Water and Climate Governance. Chapter 12. Digital Transformation and Economic Innovation in the Water Sector. Chapter 13. Challenges And Opportunities for AI in Emerging Economies. Chapter 14. Artificial Intelligence for Prediction Models in Water Engineering. Chapter 15. AI Applications in Water Treatment for Optimization and Automation. Chapter 16. AI to serve hydrological and water resources management. Chapter 17. Climate-Resilient infrastructure and Smart Cities

Über Autor(innen)

Kaiss Redouane is a doctoral student in Economic Sciences, specializing in econometrics and statistics. His research focuses on the application of quantitative methods to economic analysis, with expertise in time series modeling, data analysis, and statistical inference.

Benjouid Zakaria is an econometrician, statistician, and data scientist. He serves as aprofessor and researcher at the Faculty of Economics and Management of Hassan FirstUniversity in Settat, Morocco. His areas of expertise cover a wide range of issues, including territorial governance, public policy evaluation, social and territorial innovation, and the application of quantitative methods to development challenges.

Rachida El Yamani is a researcher and academic specializing in sustainabledevelopment, public policy analysis, and socio-economic transformations in the context ofenvironmental challenges. She serves as a professor at the Faculty of Economics and SocialSciences, where she is actively involved in interdisciplinary research and teaching related todevelopment economics, environmental governance, and climate resilience.

Mukesh Kumar is an accomplished academic and researcher currently serving as anAssociate Professor at the Advanced Centre of Research & Innovation (ACRI), Department ofComputer Application, Chandigarh School of Business, Chandigarh Group of Colleges,Jhanjeri, Mohali, Punjab, India.

Keshav Kaushik is a distinguished cybersecurity and digital forensics expert, currentlyserving as an Associate Professor at the Center for Cyber Security and Cryptology, ShardaSchool of Computer Science & Engineering, Sharda University, Greater Noida, India.

Ajar Nath Yadav is a Deputy Director, RDC; Deputy Director, IQAC; Assistant Controller ofExaminations; Associate Professor & Head, Department Genetics, Plant Breeding andBiotechnology, at Eternal University, Baru Sahib, Himachal Pradesh, India. He has 10 yearsof teaching and 15 years of research experience in the field of microbial biotechnology,microbial diversity and plant-microbe-interactions.