Artificial Intelligence and Modeling for Water Sustainability: Global Challenges
- Length: 332 pages
- Edition: 1
- Language: English
- Publisher: CRC Press
- Publication Date: 2023-04-03
- ISBN-10: 1032186992
- ISBN-13: 9781032186993
- Sales Rank: #0 (See Top 100 Books)
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.
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
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