Hydrological Insights

Synergizing Groundwater Models, Remote Sensing, and AI for Water Sustainability

Hossein Hashemi, Amit Kumar, Krishna Kumar

• Publisher: Elsevier
• Year: 2026
• Topic: Biological Sciences
• eBook ISBN:
  9780443363955
• Subtopic: Environmental Science
• Index: Biological Sciences

Hydrological Insights: Synergizing Groundwater Models, Remote Sensing, and AI for Water Sustainability offers an in-depth exploration of hydrological modeling and its cutting-edge advancements, presented across six comprehensive sections. Part I establishes the foundational principles and methodologies of hydrological modeling, while Part II delves into sophisticated techniques and tools that enhance the accuracy and efficiency of hydrological studies. Part III highlights the powerful integration of remote sensing and artificial intelligence, showcasing how these technologies revolutionize modern hydrological practices.Part IV focuses on environmental impact assessment and management strategies, outlining effective methods for sustainable water resource management. Part V covers the latest advancements in remote sensing and machine learning, emphasizing their pivotal role in contemporary hydrology. Finally, Part VI presents real-world case studies and future directions, offering practical insights and forward-looking perspectives. With meticulously crafted chapters that combine theoretical foundations with practical applications, this book is an essential resource for students, researchers, and professionals seeking to advance their understanding of hydrology through the integration of remote sensing and AI. - Covers the latest developments and future trends in AI and machine-learning in the fields of hydrology and water resource engineering - Includes advanced groundwater methods and techniques demonstrated through real-world case studies with step-by-step analysis - Offers an easy-to-follow structure with data-driven approaches - Authored by world acclaimed experts in the fields of hydrology and AI

Table of contents

• Front Cover
• Hydrological Insights: Synergizing Groundwater Models, Remote Sensing, and AI for Water Sustainability
• Copyright Page
• Dedication
• Contents
• List of contributors
• Preface
• 1 Data-driven approaches to groundwater modelling: methods, applications, and challenges
• 2 Analysis of changes in the hydrological response of the gangotri glacier, Garhwal Himalaya
• 3 An advanced approach for assessment of spatiotemporal variation in rainfall and its impact on stream flow discharge in Chaliyar River Basin of Kerala
• 4 Groundwater depletion in a changing climate: global insights and strategic mitigation approaches
• 5 Application of machine learning/artificial intelligence and IoT in water resources modeling, management, and mitigation
• 6 Kernel-based predictive framework for groundwater level forecast in semiarid areas: a CEEMDAN-based GWO-KELM hybrid mode
• 7 Interferometric synthetic aperture radar-artificial intelligence-based approach for groundwater level prediction in arid regions
• 8 Technology for hydro-ecology and big data for smart water management
• 9 Bridging the gap: geospatial technology, artificial intelligence, and hydrological models for integrated water resource management
• 10 The cost-benefit analysis of automation in water quality management
• 11 Human negligence on H₂O—unseen impact on life and infrastructure with preventive measures, including intellectual property ights
• 12 Innovative approaches to groundwater contamination: remote sensing and artificial intelligence in the Midlands Industrial Belt
• 13 Shared waters, shared futures: toward sustainable groundwater management in Cyprus
• 14 Transboundary aquifer cooperation: supranational coordination in managing the North-Western Sahara Aquifer System
• 15 Glacier mass balance in the Indian Himalayan Region: impacts on water resources, hazards, and mitigation
• 16 Enhanced remote sensing of water surface elevation through fusion of Sentinel-3 altimeter data and climate variables using machine learning
• Index
• Back Cover