Artificial Intelligence and Modeling for Water Sustainability: Global Challenges

Artificial intelligence and computational methods are used to monitor and predict water pollutants and 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. This book discusses cutting-edge AI applications in the water sector, highlights environmental models used by experts, and discusses various types of models for achieving sustainable development in water and groundwater. It also includes case studies and recent research directions for environmental issues in the water sector.

Format: Hardback
Length: 332 pages
Publication date: 03 April 2023
Publisher: Taylor & Francis Ltd

Artificial intelligence (AI) and computational techniques are revolutionizing the monitoring and prediction of water pollutants and quality issues, offering efficient tools for timely detection and analysis. Smart sensors and machine learning models play a pivotal role in identifying and tracking the dispersion and leakage of pollutants before they reach groundwater sources. By leveraging the expertise of academics and industry professionals, this comprehensive book provides valuable insights into the effective management of water pollution problems. It assists governments, industries, and homeowners in addressing these challenges promptly and efficiently, while also fostering a deeper understanding of the implementation of remedial measures.

The book offers a comprehensive treatment of AI methods and their applications in water science, covering a range of topics. It highlights the environmental models employed by experts across different countries, emphasizing their role in achieving sustainable development in water and groundwater resources. Various types of AI models, including neural networks, decision trees, and genetic algorithms, are explored, showcasing their applications in detecting and mitigating environmental issues. Case studies and recent research directions are included to provide practical examples and highlight the latest advancements in the field.

The book addresses future aspects and innovations in AI related to water sustainability, providing a roadmap for future research and development. It appeals to a wide audience, including scientists, researchers, undergraduate and graduate students majoring in environmental or computer science, industry professionals in water science and engineering, environmental management, and governmental sectors. The book showcases the powerful applications of AI in detecting environmental issues, with a particular emphasis on the mitigation and conservation of water and underground resources.

In conclusion, this book serves as a valuable resource for professionals, researchers, and stakeholders in the water sector. It provides a comprehensive understanding of AI methods and their applications, enabling timely detection, analysis, and effective management of water pollutants and quality issues. By leveraging the power of AI, we can contribute to the preservation of our water resources and ensure a sustainable future for generations to come.

Dimension: 234 x 156 (mm)
ISBN-13: 9781032186993