Hydrology in the Age of Artificial Intelligence: Integrating Classical Science with Machine Learning

  • الفئة :

      كتب علمية

  • الإسم الكامل للمؤلف (ين):

      Dr. Boughandjioua Samira

  • الرقم الدولي المعياري للكتاب (ISBN) :

      978-9969-05-734-8

  • عدد الصفحات :

      234

  • الميدان :

      علوم وتكنولوجيا


: ملخص

This book introduces the fundamentals of hydrology and highlights how AI and Machine Learning are transforming water resource modeling. It explains hydrological data types, traditional modeling limits, and modern data-driven approaches. Supervised, unsupervised, deep, and reinforcement learning methods are presented through real applications such as streamflow forecasting, groundwater prediction, and flood mapping. By combining physical and AI-based models, the book provides innovative solutions for sustainable and resilient water management. It serves as a practical resource for researchers, students, and professionals seeking AI-driven tools for climate-adaptive water planning


الفهرس :

Part I: Foundations of Hydrology and Artificial Intelligence
Chapter 1: Fundamentals of Hydrology and the Role of AI
Part II: Hydrological Data and Traditional Modeling Systems
Chapter 2: Hydrological Data – Types, Characteristics, and Global Sources
Part III: Machine Learning – Concepts, Algorithms, and Data Resources
Chapter 3: Fundamentals of Machine Learning in Hydrology
Part IV: Applications of Machine Learning in Hydrology and Future Perspectives
Chapter 4: Applied Machine Learning in Hydrology

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