Sustainable Smart Water Systems: A Comprehensive Approach is an essential guide for students and researchers dedicated to sustainable water management. This book thoroughly examines potential threats to water quality from industrial activities, agricultural practices, and climate change, and also addresses the vital regulations and policies governing smart water systems. With a deep dive into innovative technologies, particularly advanced sensors, readers will uncover cutting-edge advancements in water treatment, including membrane filtration, advanced oxidation processes, and green chemistry methods. The insightful chapters illustrate the transformative impact of artificial intelligence and big data analytics on water quality monitoring, prediction, and decision-making, and are enriched by compelling case studies. Moreover, the book explores the revolutionary use of Internet of Things (IoT) devices for real-time water quality monitoring and control, shedding light on the challenges and future research directions in this dynamic field.AI- and IoT-enabled smart water monitoring for real-time quality assessment and predictive management.Advanced nano and membrane technologies for sustainable and energy-efficient water treatment.Smart solutions for urban and agricultural water systems using data-driven optimization.Integrated focus on risk, policy, and future sustainability challenges in water ecosystems.

Sustainable Smart Water Systems: A Comprehensive Approach is an essential guide for students and researchers dedicated to sustainable water management. This book thoroughly examines potential threats to water quality from industrial activities, agricultural practices, and climate change, and also addresses the vital regulations and policies governing smart water systems. With a deep dive into innovative technologies, particularly advanced sensors, readers will uncover cutting-edge advancements in water treatment, including membrane filtration, advanced oxidation processes, and green chemistry methods. The insightful chapters illustrate the transformative impact of artificial intelligence and big data analytics on water quality monitoring, prediction, and decision-making, and are enriched by compelling case studies. Moreover, the book explores the revolutionary use of Internet of Things (IoT) devices for real-time water quality monitoring and control, shedding light on the challenges and future research directions in this dynamic field.AI- and IoT-enabled smart water monitoring for real-time quality assessment and predictive management.Advanced nano and membrane technologies for sustainable and energy-efficient water treatment.Smart solutions for urban and agricultural water systems using data-driven optimization.Integrated focus on risk, policy, and future sustainability challenges in water ecosystems.