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Descripción

Water Quality Monitoring and Management: Basis, Technology and Case Studies presents recent innovations in operations management for water quality monitoring. It highlights the cost of using and choosing smart sensors with advanced engineering approaches that have been applied in water quality monitoring management, including area coverage planning and sequential scheduling. In parallel, the book covers newly introduced technologies like bulk data handling techniques, IoT of agriculture, and compliance with environmental considerations. Presented from a system engineering perspective, the book includes aspects on advanced optimization, system and platform, Wireless Sensor Network, selection of river water quality, groundwater quality detection, and more.

It will be an ideal resource for students, researchers and those working daily in agriculture who must maintain acceptable water quality.

  • Discusses field operations research and application in water science
  • Includes detection methods and case analysis for water quality management
  • Encompasses rivers, lakes, seas and groundwater
  • Covers water for agriculture, aquaculture, drinking and industrial uses

1. Cover image - p. iv 2. Title page - p. iv 3. Table of Contents - p. iv 4. Copyright - p. iv 5. About the Author - p. xiii 6. Preface - p. xv 7. Chapter 1: Sensors in Water Quality Monitoring - p. xviii 8. Chapter 2: Wireless Sensor Networks in Water Quality Monitoring - p. 54 9. Chapter 3: System and Platform for Water Quality Monitoring - p. 100 10. Chapter 4: Water Quality Evaluation - p. 112 11. Chapter 5: Prediction of Water Quality - p. 159 12. Chapter 6: Water Quality Early Warnings - p. 197 13. Chapter 7: Detection of River Water Quality - p. 210 14. Chapter 8: Water Quality Detection for Lakes - p. 220 15. Chapter 9: Seawater Quality Detection - p. 231 16. Chapter 10: Drinking Water Detection - p. 249 17. Chapter 11: Groundwater Quality Detection - p. 267 18. Chapter 12: Water Quality Monitoring in Aquaculture - p. 302 19. Chapter 13: Detection of Industrial Water Quality - p. 328 20. Index - p. 351

Descripcion
Descripción

Water Quality Monitoring and Management: Basis, Technology and Case Studies presents recent innovations in operations management for water quality monitoring. It highlights the cost of using and choosing smart sensors with advanced engineering approaches that have been applied in water quality monitoring management, including area coverage planning and sequential scheduling. In parallel, the book covers newly introduced technologies like bulk data handling techniques, IoT of agriculture, and compliance with environmental considerations. Presented from a system engineering perspective, the book includes aspects on advanced optimization, system and platform, Wireless Sensor Network, selection of river water quality, groundwater quality detection, and more.

It will be an ideal resource for students, researchers and those working daily in agriculture who must maintain acceptable water quality.

  • Discusses field operations research and application in water science
  • Includes detection methods and case analysis for water quality management
  • Encompasses rivers, lakes, seas and groundwater
  • Covers water for agriculture, aquaculture, drinking and industrial uses

1. Cover image - p. iv 2. Title page - p. iv 3. Table of Contents - p. iv 4. Copyright - p. iv 5. About the Author - p. xiii 6. Preface - p. xv 7. Chapter 1: Sensors in Water Quality Monitoring - p. xviii 8. Chapter 2: Wireless Sensor Networks in Water Quality Monitoring - p. 54 9. Chapter 3: System and Platform for Water Quality Monitoring - p. 100 10. Chapter 4: Water Quality Evaluation - p. 112 11. Chapter 5: Prediction of Water Quality - p. 159 12. Chapter 6: Water Quality Early Warnings - p. 197 13. Chapter 7: Detection of River Water Quality - p. 210 14. Chapter 8: Water Quality Detection for Lakes - p. 220 15. Chapter 9: Seawater Quality Detection - p. 231 16. Chapter 10: Drinking Water Detection - p. 249 17. Chapter 11: Groundwater Quality Detection - p. 267 18. Chapter 12: Water Quality Monitoring in Aquaculture - p. 302 19. Chapter 13: Detection of Industrial Water Quality - p. 328 20. Index - p. 351

Indice
Autores
Muestra
Ficha Técnica