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Artificial Intelligence for Water Sustainability and Climate Resilience in Small Island States examines how emerging artificial intelligence technologies can support sustainable water management and strengthen climate adaptation in environmentally vulnerable island communities. Small Island States face distinctive challenges, including freshwater scarcity, saltwater intrusion, changing rainfall patterns, extreme weather events, limited infrastructure, and increasing pressure on coastal and groundwater resources.
This book explores the application of artificial intelligence, machine learning, predictive analytics, remote sensing, smart sensors, and data-driven decision-support systems to address these interconnected challenges. It discusses how intelligent technologies can improve water-demand forecasting, drought monitoring, flood prediction, leakage detection, water-quality assessment, desalination management, rainwater harvesting, and climate-risk evaluation.
The book also highlights the importance of integrating technological innovation with local knowledge, institutional capacity, environmental governance, and community participation. Particular attention is given to responsible data use, ethical artificial intelligence, infrastructure limitations, implementation barriers, and the need for solutions that are affordable, scalable, and appropriate for island contexts.
Designed for researchers, policymakers, environmental professionals, engineers, students, and development practitioners, this volume provides an interdisciplinary understanding of how artificial intelligence can contribute to secure water systems, resilient communities, and sustainable development across Small Island States.