Description

Book Synopsis

The Science of AI in Water Management offers a comprehensive exploration of how artificial intelligence is transforming the management of one of Earthâs most vital resources. Written in an engaging and accessible style, the book examines AI's applications across various water management domains, including real-time water quality monitoring, leak detection, flood risk assessment, and wastewater treatment. Readers will gain insights into predictive maintenance, AI-powered irrigation, groundwater management, and the intricate relationship between AI and sustainable water practices. Addressing technical, economic, and social aspects, this book serves as a valuable resource for water managers, engineers, policymakers, students, and industry professionals.

  • It offers insights into AI-driven strategies that promote sustainable water use, enhance water conservation efforts, and address the impacts of climate change on water resources.
  • It includes practical case studies, real-world applications, and actionable solutions to modern water management challenges.
  • It combines expertise from environmental science, engineering, AI technology, and policy to provide a well-rounded understanding of water management challenges and solutions.

The Science of AI in Water Management

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    £168.64

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    Order before 4pm tomorrow for delivery by Wed 29 Jul 2026.

    A Hardback by Frank R. Spellman

    1 in stock

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      Publisher: Taylor & Francis Ltd
      Publication Date: Publication Date: 15/03/2026
      ISBN13: 9781041105909, 978-1041105909
      ISBN10:

      Description

      Book Synopsis

      The Science of AI in Water Management offers a comprehensive exploration of how artificial intelligence is transforming the management of one of Earthâs most vital resources. Written in an engaging and accessible style, the book examines AI's applications across various water management domains, including real-time water quality monitoring, leak detection, flood risk assessment, and wastewater treatment. Readers will gain insights into predictive maintenance, AI-powered irrigation, groundwater management, and the intricate relationship between AI and sustainable water practices. Addressing technical, economic, and social aspects, this book serves as a valuable resource for water managers, engineers, policymakers, students, and industry professionals.

      • It offers insights into AI-driven strategies that promote sustainable water use, enhance water conservation efforts, and address the impacts of climate change on water resources.
      • It includes practical case studies, real-world applications, and actionable solutions to modern water management challenges.
      • It combines expertise from environmental science, engineering, AI technology, and policy to provide a well-rounded understanding of water management challenges and solutions.

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