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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.

1. Chapter 1. Introduction to sustainable smart water systems - p. 1 2. Chapter 2. Sustainability risk assessment and management in water quality - p. 13 3. Chapter 3. Sources of water pollution and its impact on ecosystems - p. 29 4. Chapter 4. Smart sensors for water testing and quality assessment - p. 53 5. Chapter 5. Nanoseparation techniques for sustainable water treatment - p. 77 6. Chapter 6. Sustainable membrane technology for water treatment - p. 111 7. Chapter 7. Design and implementation of an Internet of Things based water quality framework - p. 153 8. Chapter 8. Artificial intelligence and big data application for drinking water quality monitoring - p. 171 9. Chapter 9. Artificial intelligence driven approaches for sustainable urban water management - p. 199 10. Chapter 10. Sustainable agriculture through AI and IoT-enabled smart water management - p. 219 11. Chapter 11. Water quality regulations and policies for sustainable management - p. 231 12. Chapter 12. Challenges and future directions in sustainable water ecosystems - p. 247 13. Index - p. 275

Descripcion
Descripción

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.

1. Chapter 1. Introduction to sustainable smart water systems - p. 1 2. Chapter 2. Sustainability risk assessment and management in water quality - p. 13 3. Chapter 3. Sources of water pollution and its impact on ecosystems - p. 29 4. Chapter 4. Smart sensors for water testing and quality assessment - p. 53 5. Chapter 5. Nanoseparation techniques for sustainable water treatment - p. 77 6. Chapter 6. Sustainable membrane technology for water treatment - p. 111 7. Chapter 7. Design and implementation of an Internet of Things based water quality framework - p. 153 8. Chapter 8. Artificial intelligence and big data application for drinking water quality monitoring - p. 171 9. Chapter 9. Artificial intelligence driven approaches for sustainable urban water management - p. 199 10. Chapter 10. Sustainable agriculture through AI and IoT-enabled smart water management - p. 219 11. Chapter 11. Water quality regulations and policies for sustainable management - p. 231 12. Chapter 12. Challenges and future directions in sustainable water ecosystems - p. 247 13. Index - p. 275

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Muestra
Ficha Técnica