Water Sustainability and Predictive Modelling addresses one of the most urgent challenges of our time—managing water resources in an era marked by climate change, urban growth, and increasing demand. This comprehensive volume traces the evolution of water management from traditional practices to innovative, data-driven solutions. By harnessing the power of cutting-edge technologies such as artificial intelligence, machine learning, and advanced hydrological modeling, it showcases how predictive approaches can accurately forecast water availability, identify risks, and support sustainable decision-making. Designed for students, researchers, policymakers, and industry leaders, this book offers practical insights into optimizing water use. Featuring real-world case studies and expert perspectives, it provides actionable strategies to enhance water security, promote resource efficiency, and foster resilient water governance. Whether addressing water scarcity, flood risks, or climate impacts, this volume empowers readers to drive innovation and build a sustainable water future.

• Includes comprehensive data visualizations and heatmaps that effectively illustrate climate models, hydrological simulations, and AI-driven forecasts to highlight trends and spatial variations
• Provides the latest information on predictive modeling and hydrological innovations
• Features real-world photographs, case studies, and infographics that utilize color to emphasize key project outcomes, ecological insights, and comparative analyses for better understanding and engagement