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  • The Science of AI in Water Management

    The Science of AI in Water Management by Spellman, Frank R.;

      • GET 10% OFF

      • Publisher's listprice GBP 187.99
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        84 877 Ft (80 835 Ft + 5% VAT)
      • Discount 10% (cc. 8 488 Ft off)
      • Discounted price 76 389 Ft (72 752 Ft + 5% VAT)

    76 389 Ft

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    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Edition number 1
    • Publisher CRC Press
    • Date of Publication 23 February 2026

    • ISBN 9781041105909
    • Binding Hardback
    • No. of pages396 pages
    • Size 234x156 mm
    • Weight 960 g
    • Language English
    • Illustrations 72 Illustrations, black & white
    • 766

    Categories

    Short description:

    Addressing technical, economic, and social aspects, this book serves as a valuable resource for water managers, engineers, policymakers, students, and industry professionals.

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    Long description:

    The Science of AI in Water Management offers a comprehensive exploration of how artificial intelligence is transforming the management of one of Earth?s 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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    Table of Contents:

    "

    Preface

    About the Author

    Acronyms/Abbreviations/Units/Conversions

    Energy Storage Practitioner?s Toolbox

    Energy Storage by Other Terms

    Prologue

    PART 1

    THE BASICS

    CHAPTER 1 THE GRAND CHALLENGE & THE 10-HOUR RULE

    CHAPTER 2 AI & THE CONNECTED MINDSET

    CHAPTER 3 FUNDAMENTALS OF ELECTRICITY

    Chapter 4 BATTERY TERMINOLOGY

    PART 2

    ENERGY STORAGE TECHNOLOGIES

    Chapter 5 LEAD-ACID STORAGE BATTERIES

    Chapter 6 LITHIUM-ION BATTERIES

    Chapter 7 FLOW BATTERIES

    Chapter 8 ZINC BATTERIES

    Chapter 9 SODIUM BATTERIES

    Chapter 10 FLYWHEEL ENERGY

    Chapter 11 COMPRESSED AIR ENERGY

    Chapter 12 THERMAL ENERGY

    Chapter 13 SUPERCAPACITORS

    Chapter 14 Hydrogen Storage and Fuel Cells

    Chapter 15 The Water Battery

    Chapter 16 GEO-ENERGY

    Chapter 17 GRAVITY BATTERIES

    PART 3 PHYSICAL SECURITY & CYBERSECURITY OF ENERGY

    Chapter 18 Energy Storage Security

    Chapter 19 SCADA AND ENERGY

    Chapter 20 SECURITY TECHNOLOGY AND HARDWARE

    Glossary

    "

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