Abstract
<jats:p>Blue Algorithms: AI in Aquatic Systems is a broad and perspective-looking study on water bodies as dynamic and adaptive natural systems that are complex interactions of physical, chemical, biological, and anthropogenic processes. Going beyond the traditional hydrological views, the book places rivers, lakes, oceans, wetlands, and groundwater systems in the role of constantly evolving entities with self-regulating characteristics and feedback-based responses, and resiliency to environmental factors. The book applies artificial intelligence and hydrology, aquatic ecology, geospatial science, and environmental engineering to reveal how data-driven and hybrid AI models are changing the ways in which the spatial and temporal aspects of aquatic systems are observed, interpreted, and managed. The book focuses on mechanistic knowledge and predictive intelligence and how machine learning, digital twins, and sophisticated sensing technologies can be used to provide better insights about processes, early warning signs, and adaptive decision-making. Governance, ethics and data stewardship are also accorded equal attention, which considers the impacts of digital water infrastructures on the societies. In general, the book presents a scientifically sound system of resilience, clarity and future readiness of water management in the era of climate change, urbanization, and global environmental transformation.</jats:p>