Advances in Geostatistical and Stochastic Modeling for Groundwater Resources Assessment and Management
A special issue of Geosciences (ISSN 2076-3263).
Deadline for manuscript submissions: 30 November 2025 | Viewed by 104
Special Issue Editors
Interests: agricultural engineering; groundwater; geostatistics; machine learning; hydrology
Interests: inverse modeling; groundwater; geostatistics; machine learning; climate change
Interests: groundwater modelling; stochastic simulation; water resources management; machine learning; geostatistics
Interests: space-time geostatistics; gaussian processes; non-Eucledian spatial metrics; risk analysis; groundwater; sustainable development in mining
Special Issues, Collections and Topics in MDPI journals
Interests: inverse problems in surface hydrology; hydraulics and groundwater modeling; impacts of climate change on meteorological variables and water resources
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We invite you to contribute to this upcoming Special Issue entitled “Advances in Geostatistical and Stochastic Modeling for Groundwater Resources Assessment and Management”. Groundwater resources play a critical role in water supply and ecosystem sustainability across various regions, and their importance is further amplified in the face of climate change, which brings heightened variability in precipitation patterns and intensifies anthropogenic pressures. These challenges demand robust and innovative approaches to groundwater assessment and modeling.
This Special Issue will showcase recent advances in geostatistical and stochastic methodologies, approaches, and formulations that enhance the accuracy and reliability of groundwater resource evaluation. We welcome contributions exploring novel frameworks that integrate multiple data sources, including geological, hydrogeological, petrographic, and stratigraphic information, to address the inherent uncertainty in subsurface characterization better. Topics of interest include, but are not limited to, the following:
- Probabilistic and Monte Carlo-based approaches for groundwater flow and transport modeling;
- Geostatistical methods for characterizing aquifer heterogeneity and connectivity;
- Stochastic uncertainty quantification in groundwater modeling;
- Geostatistical and stochastic approaches for groundwater contamination risk assessment;
- Surrogate modeling and reduced-order representations for computational efficiency;
- Stochastic approaches for assessing climate change impacts on groundwater systems.
We look forward to receiving contributions that further our understanding of these innovative techniques and their role in the sustainable management of groundwater resources.
Dr. Massimiliano Schiavo
Dr. Valeria Todaro
Dr. Vanessa A. Godoy
Dr. Emmanouil Varouchakis
Dr. Marco D’Oria
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 100 words) can be sent to the Editorial Office for announcement on this website.
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
- underground resources
- geostatistics
- spatial statistics
- stochastic modeling
- assessment
- probabilistic methods
- inverse modeling
- resources management
- resources exploitation
- uncertainty
- sensitivity analysis
- space–time geostatistics
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