Advances in Hydrogeological Investigations: Field Monitoring, GIS, AI, Remote Sensing, Geophysical Techniques, and Hydrochemical Analysis

Dear Colleagues,

The growing demand for sustainable groundwater management has driven significant advancements in hydrogeological investigations, integrating cutting-edge technologies such as Geographic Information Systems (GIS), remote sensing (RS), artificial intelligence (AI), geophysical techniques, and hydrochemical analysis. These interdisciplinary approaches have revolutionized how researchers assess, monitor, and model groundwater systems, enabling a more comprehensive understanding of aquifers, recharge zones, contamination sources, and groundwater–surface water interactions.

Remote sensing technologies, including satellite imagery, airborne sensors, and radar systems, offer large-scale and real-time data for identifying groundwater potential zones, monitoring environmental changes, and assessing recharge and discharge areas. Similarly, geophysical techniques provide essential subsurface insights by characterizing geological formations, aquifer structures, and hydrogeological parameters such as porosity and permeability. The integration of GIS enhances spatial data analysis, mapping, and visualization, providing a holistic view of groundwater resources.

Recent breakthroughs in AI and machine learning have further strengthened hydrogeological investigations by enabling predictive modeling, data-driven decision-making, and the automated interpretation of complex datasets. AI techniques, such as deep learning and neural networks, can optimize data fusion, enhance accuracy in groundwater potential mapping, and improve risk assessment models for contamination and resource depletion. Hydrochemical analysis remains a cornerstone of groundwater studies, offering critical insights into water quality, contamination trends, and the impact of anthropogenic activities on aquifers.

This Special Issue aims to bring together innovative research and state-of-the-art methodologies that leverage these advanced techniques to improve groundwater exploration, monitoring, and management. We encourage submissions that demonstrate novel applications, case studies, and cutting-edge developments in hydrogeological investigations.

Topics of interest include, but are not limited to:

• Integration of RS, GIS, AI, and geophysical techniques in groundwater exploration;
• Advanced hydrogeological field monitoring and data acquisition methods;
• Groundwater modeling and predictive analytics using AI and machine learning;
• Three-dimensional aquifer characterization and mapping;
• Groundwater recharge assessment and aquifer sustainability analysis;
• Delineation of contamination sources and mapping of groundwater pollution;
• Groundwater–surface water interaction monitoring and ecosystem connectivity;
• Transboundary groundwater management, assessment, and challenges;
• Application of hydrochemical analysis in groundwater quality assessment;
• Climate change impacts on groundwater resources and mitigation strategies;
• Remote sensing-based approaches for groundwater resource management;
• GIS-based spatial analysis for groundwater vulnerability mapping;
• Early warning systems for groundwater depletion and pollution;
• Hydrogeological impact of extreme weather events (floods, droughts) on groundwater systems;
• Big data applications in hydrogeology and water resources assessment;
• Groundwater isotopic techniques for tracing recharge sources and contamination pathways.

We invite researchers, hydrogeologists, geoscientists, and environmental professionals to contribute original research articles and comprehensive review papers that push the boundaries of hydrogeological investigations. Your contributions will help shape the future of groundwater science, fostering sustainable management strategies and innovative solutions to global water challenges.

Dr. Ismael Ibraheem
Prof. Dr. Abdelazim Negm
Guest Editors

Manuscript Submission Information

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