Advanced Studies in Hydrogeology: Making the Invisible Visible
A special issue of Geosciences (ISSN 2076-3263).
Deadline for manuscript submissions: 30 November 2026 | Viewed by 600
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
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Geosciences is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
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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