Artificial Intelligence and Modeling for Water Sustainability: Global Challenges

Автор: literator от 31-03-2023, 15:56, Коментариев: 0

Категория: КНИГИ » ТЕХНИЧЕСКИЕ НАУКИ

Artificial Intelligence and Modeling for Water Sustainability: Global ChallengesНазвание: Artificial Intelligence and Modeling for Water Sustainability: Global Challenges
Автор: Alaa El Din Mahmoud, Manal Fawzy, Nadeem Ahmad Khan
Издательство: CRC Press
Год: 2023
Страниц: 311
Язык: английский
Формат: pdf (true)
Размер: 11.3 MB

Artificial Intelligence (AI) 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.

The fundamentals of environmental engineering as it applies to civil engineering include, but are not limited to, the global water crises, the various challenges, integrated water resources, the application of artificial intelligence to sustainability and management in water treatment, its advances, its application towards remediation, the use of sensors and models in water quality monitoring, and its implementation in the context of Industry 4.0 and the circular economy. This book presents the basics of Artificial Intelligence (AI) that even a novice reader should have no trouble understanding.

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 water sustainability.

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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