Advanced Studies in Hydrogeology: Making the Invisible Visible
A special issue of Geosciences (ISSN 2076-3263).
Deadline for manuscript submissions: 30 November 2025 | Viewed by 121
Special Issue Editors
Interests: climate change; hydrogeology; geophysics; GIS and remote sensing; geological engineering; environment; geostatistical analysis; ecological monitoring and assessment
Interests: socio-ecological systems; rural–environment interactions; spatial modelling; GIS; remote sensing
Special Issues, Collections and Topics in MDPI journals
Interests: climate change; natural risks; hydrogeology; environment; geosciences; GIS and remote sensing
2. Planetek Italia Srl Company, Bari, Italy
Interests: land use/land cover modelling; vegetation; forest fires; climate change; prediction; geostatistical analysis; ecological monitoring and assessment; geoinformatics (GIS); multi- and hyperspectral remote sensing; machine learning; deep learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Faced with the growing impacts of climate change, hydrogeology plays a key role in the management of groundwater resources, which is why this Special Issue explores the scientific advances that make the invisible visible by integrating innovative tools and approaches such as geomatics, geographic information systems (GISs), remote sensing-based Earth observation data, and artificial intelligence.
Selected articles deal with the influence of climate on the hydrological cycle and, in particular, the impact of drought and flooding on aquifers. Thanks to prediction methods based on hydrological modeling and machine learning, this Special Issue highlights strategies for adapting to water-related natural hazards.
It will also feature applied research on groundwater assessment, aquifer recharge, and water resource vulnerability by harnessing the power of geospatial data and predictive models, offering solutions for more effective and resilient groundwater management in the face of climate challenges.
The Special Issue highlights innovative approaches combining remote sensing and GIS tools to map water resources and optimize their sustainable use. Thanks to advances in numerical hydrogeology and predictive modelling, this Special Issue provides concrete solutions to the challenges linked to the availability and vulnerability of groundwater resources, and also for more efficient and resilient management in the face of climate challenges.
This Special Issue is aimed at researchers, engineers and decision-makers wishing to integrate modern hydrological technologies to anticipate and mitigate the effects of climate change on water resources.
Prof. Dr. Ali Essahlaoui
Prof. Dr. Anton Van Rompaey
Dr. Amina Kassou
Dr. Meriame Mohajane
Guest Editors
Manuscript Submission Information
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Keywords
- groundwater
- water quality
- aquifer vulnerability
- climate change
- water stress
- natural hazards
- geomatics
- machine learning
- artificial intelligence
- hydrogeological modelling
- water resources monitoring
- remote sensing
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