Artificial intelligence and the use of computational methods to extract information from data are providing adequate tools to monitor and predict water pollutants and water quality issues faster and more accurately. Smart sensors and machine learning models help detect and monitor dispersion and leakage of pollutants before they reach groundwater. With contributions from experts in academia and industries, who give a unified treatment of AI methods and their applications in water science, this book help governments, industries, and homeowners not only address water pollution problems more quickly and efficiently, but also gain better insight into the implementation of more effective remedial measures.

FEATURES

Provides cutting-edge AI applications in water sector.
Highlights the environmental models used by experts in different countries.
Discusses various types of models using AI and its tools for achieving sustainable development in water and groundwater.
Includes case studies and recent research directions for environmental issues in water sector.
Addresses future aspects and innovation in AI field related to watersustainability.

This book will appeal to scientists, researchers, and undergraduate and graduate students majoring in environmental or computer science and industry professionals in water science and engineering, environmental management, and governmental sectors. It showcases artificial intelligence applications in detecting environmental issues, with an emphasis on the mitigation and conservation of water and underground resources.

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Yes, you can access Artificial Intelligence and Modeling for Water Sustainability by Alaa El Din Mahmoud, Manal Fawzy, Nadeem Ahmad Khan, Alaa El Din Mahmoud,Manal Fawzy,Nadeem Ahmad Khan in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Year

Print ISBN

eBook ISBN

Edition

Topic

Technology & Engineering

Subtopic

Artificial Intelligence (AI) & Semantics

Index

Technology & Engineering

Cover
Half Title
Title
Copyright
Contents
Preface
Editors
List of Contributors
Chapter 1 Global Water Challenges and Sustainability
Chapter 2 Integrated Water Resources Management: Perspective and Challenges
Chapter 3 Artificial Intelligence for Sustainable Water Management and Treatment
Chapter 4 Advances in Artificial Intelligence Applications in Sustainable Water Remediation
Chapter 5 Water Quality and Water Pollution Monitoring Using Artificial Intelligence
Chapter 6 Water Quality Monitoring Using Sensors and Models
Chapter 7 Monitoring of Contaminants in Aquatic Ecosystems Using Big Data
Chapter 8 Mitigation of Water Shortages with Artificial Intelligence
Chapter 9 Implementation of Industry 4.0 in Water Treatment
Chapter 10 Computational Modeling and Assessment of Sustainable Materials Efficiency to Remove Heavy Metals from Drinking Water
Chapter 11 Circular Economy Models in Water and Wastewater Sectors
Chapter 12 Water Circular Economy Strategic Approaches: Morocco Case Study
Index

About this book

Frequently asked questions

Information

Table of contents