Hydrological Insights

Name: Hydrological Insights
Price: 175 USD
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ISBN: 9780443363948

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

by Hossein Hashemi, Amit Kumar, Krishna Kumar

1st Edition

Publisher: Elsevier

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Book Details

Print ISBN	9780443363948
eText ISBN	9780443363955
Publisher	Elsevier
Publishing Year	2026
Edition	1st Edition
Language	English
Pages	296

Hydrological Insights, 1st Edition, presents a detailed examination of modern groundwater modeling, remote sensing observations, and computational intelligence designed for sustainable water resources management. Authors Hossein Hashemi, Amit Kumar, and Krishna Kumar establish analytical foundations to assist readers in evaluating aquatic systems, predictive modeling frameworks, and environmental impact assessment strategies.

The book structures its theoretical and practical coverage across six comprehensive sections. Across these distinct divisions, the volume details recent developments alongside projected future trends in artificial intelligence and machine learning applications tailored specifically for hydrology and water resource engineering. The text organizes these methods to illustrate how emerging data tools integrate with traditional hydrologic frameworks.

As a defining structural feature, the publication unifies complex algorithmic tools with environmental subject matter into clear thematic divisions. This text provides targeted instructional support for graduate students, postgraduate scholars, active researchers, and engineering professionals working across hydrology, groundwater science, and applied artificial intelligence.

Chapter 1: Introduction to Data-Driven Groundwater Modeling: Methods, Applications & Challenges
Chapter 2: InSAR-Based Estimation of Head and Storage Changes: Numerical Models and Data Driven Techniques
Chapter 3: Surfacewater Flow as a Mitigation Measure for Land Subsidence Mitigation in Rural and Urban Areas
Chapter 4: Hydro-Meteorological Droughts: Patterns, Trends, and the Role of Accumulation Periods on Groundwater Condition
Chapter 5: Automated Hydrological Variable Estimation: Novel Approaches and Optimization Algorithms
Chapter 6: Spatiotemporal Variability of Hydrometeorological Parametrs: Insights from River Basin Analysis
Chapter 7: Monitoring Carbon Exchange in Wetlands and Peatlands Using InSAR-Based Methods
Chapter 8: Impact of Drinking and Sanitary Water Separation on Drinking Water Quality: Groundwater Quality Mapping
Chapter 9: InSAR-AI-Based Approach for Groundwater Level Prediction in Arid Regions
Chapter 10: Spatiotemporal Variation of Environmental Hazards: Remote Sensing and AI Applications
Chapter 11: Detecting Changes in Global Satellite-Based Hydrological Observations using AI Techniques
Chapter 12: Satellite Monitoring of Infrastructure using Interferometric Synthetic Aperture Radar (InSAR)
Chapter 13: Quantitative and Qualitative Assessment of Streamflow Variation: Climate vs. Human Impact
Chapter 14: Assessing Contaminated Groundwater Sites in Industrial Areas with Limited Data Availability
Chapter 15: Flood Spreading Project Suitability Mapping: Water Resources Management using Machine Learning Algorithms
Chapter 16: Advanced Machine Learning Algorithms for Assessing Groundwater Potential using Remote Sensing-Derived Data
Chapter 17: Extreme Gradient Boosting and Random Forest Algorithms for Assessing Groundwater Spring Potential using DEM-Derived Factors
Chapter 18: Remote Sensing Techniques and Machine Learning Algorithms in Groundwater Vulnerability Mapping
Chapter 19: Evaluation of Weather Radar Systems for Operational Use in Hydrological Studies
Chapter 20: Towards Intelligent Assessment of Groundwater Resources: Trends, Challenges, and Future Directions