Water Quality Monitoring and Management

Basis, Technology and Case Studies

Nonfiction, Science & Nature, Science, Other Sciences, Reference, Biological Sciences, Environmental Science, Technology
Cover of the book Water Quality Monitoring and Management by Daoliang Li, Shuangyin Liu, Elsevier Science
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Author: Daoliang Li, Shuangyin Liu ISBN: 9780128113318
Publisher: Elsevier Science Publication: October 11, 2018
Imprint: Academic Press Language: English
Author: Daoliang Li, Shuangyin Liu
ISBN: 9780128113318
Publisher: Elsevier Science
Publication: October 11, 2018
Imprint: Academic Press
Language: English

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
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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