Advanced Hydroinformatics: Machine Learning and Optimization for Water Resources

Advanced Hydroinformatics: Machine Learning and Optimization for Water Resources provides an overview of how machine learning can advance data analytics, modeling, and forecasting for better water management, with case studies from North America, South America, the Caribbean, Europe, and Asia.

Format: Hardback
Length: 480 pages
Publication date: 02 January 2024
Publisher: John Wiley & Sons Inc

The rapid advancement of machine learning has opened up exciting possibilities for hydroinformatics research and practice, thanks to its remarkable ability to handle large datasets, identify patterns, and make more accurate predictions. In the field of advanced hydroinformatics, the integration of machine learning and optimization techniques has the potential to revolutionize data analytics, improve the accuracy of modeling and forecasting, and facilitate the discovery of valuable insights for effective water management.

This comprehensive volume, titled "Advanced Hydroinformatics: Machine Learning and Optimization for Water Resources," showcases a wealth of original research and practical examples that illustrate the transformative power of machine learning in hydroinformatics. By presenting cutting-edge techniques and applications, the book aims to provide a comprehensive understanding of how machine learning can be leveraged to address complex water management challenges.

One of the key highlights of this volume is its comprehensive overview of the application of artificial intelligence and machine learning techniques in hydroinformatics. The authors delve into the latest advancements in modeling hydrological systems, exploring various data analysis methods and models for forecasting water resources. They also discuss emerging areas of knowledge discovery and optimization based on machine learning techniques, offering valuable insights into how these technologies can be applied to real-world water management scenarios.

To further enhance the reader's understanding, the book includes case studies from diverse regions across the globe, including North America, South America, the Caribbean, Europe, and Asia. These case studies provide practical insights into how machine learning has been implemented in different water management contexts, showcasing the benefits and challenges associated with its adoption.

In addition to its academic value, "Advanced Hydroinformatics: Machine Learning and Optimization for Water Resources" serves as a valuable resource for researchers, students, and professionals in the field of hydroinformatics. The book provides a comprehensive reference for those seeking to stay up-to-date with the latest developments and applications of machine learning in water management.

The American Geophysical Union, a leading organization in Earth and space science, plays a crucial role in promoting scientific discovery and disseminating knowledge to the broader community. Through its publications, including this book, the Union strives to provide resources and support for researchers, students, and professionals, fostering a deeper understanding of the world and its natural resources.

In conclusion, the rapid development of machine learning has brought about a transformative era in hydroinformatics, offering new possibilities for data analytics, modeling, forecasting, and knowledge discovery. "Advanced Hydroinformatics: Machine Learning and Optimization for Water Resources" serves as a valuable resource for advancing our understanding of water management and promoting sustainable water resource development. By leveraging the power of machine learning, we can better address the challenges posed by water scarcity, climate change, and other water-related issues, ensuring a more resilient and sustainable future for generations to come.

Weight: 844g
ISBN-13: 9781119639312