Advances in AI, Numerical, and Experimental Approaches for Water Resources Applications
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Hydraulics and Hydrodynamics".
Deadline for manuscript submissions: 26 January 2026 | Viewed by 42
Special Issue Editors
Interests: sustainable water management; drinking water risk; water supply systems; water pollution; groundwater hydrology and protection of groundwater; coastal dynamics; rehabilitation and remediation of coastal environments; coastal engineering
Special Issues, Collections and Topics in MDPI journals
Interests: hydrology and subsurface flow; contaminant transport in heterogeneous porous media; soil–water interactions; environmental sustainability and natural hazards; experimental and numerical modeling of flow and solute dynamics; nature-based solutions for environmental management; machine learning for water resources
Special Issue Information
Dear Colleagues,
Recent breakthroughs in remote sensing, artificial intelligence (AI), numerical modelling, and advanced experimental techniques are reshaping the investigation and management of surface– and subsurface–water systems. This Special Issue aims to collect high-quality contributions that couple hydraulics and hydrodynamics with digital and experimental innovations to tackle current and future water resource challenges.
We welcome original research papers, comprehensive reviews, and well-documented case studies that integrate one or more of the following themes:
- The use of AI and machine-learning algorithms for prediction, monitoring and decision support in water resource applications;
- The use of coupled numerical–experimental approaches for groundwater, the vadose zone, rivers, estuaries, coasts and urban water networks;
- The performance of laboratory, field or remote sensing experiments supporting fundamental or applied water science;
- The development of nature-based or hybrid solutions that enhance sustainability and resilience under climatic and anthropogenic pressures;
- Reproducible data infrastructures, open-data repositories, and workflows for water resource research and practice;
- Numerical modelling of flow, transport and reactive processes across scales.
We look forward to your submissions that advance the current understanding of water resource science and engineering.
Prof. Dr. Mario Maiolo
Guest Editor
Dr. Guglielmo Federico Antonio Brunetti
Guest Editor Assistant
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. Water is an international peer-reviewed open access semimonthly 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 2600 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
- machine learning
- numerical modelling
- remote sensing
- experimental hydraulics
- nature-based solutions
- coastal risk mitigation
- water distribution systems
- climate change adaptation
- hydrology
- water resource applications
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