Advances in Watershed Hydrology: Integrating Process Understanding and Predictive Modeling
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Hydrology".
Deadline for manuscript submissions: 25 February 2026 | Viewed by 41
Special Issue Editors
Interests: hydroclimate extremes; process-based hydrologic modeling; extreme event statistics; hydro-geomorphological characterization; flood risk management; high-performance computing in hydrology; hydroclimate impact assessment; flood frequency analysis
Special Issue Information
Dear Colleagues,
For this Special Issue, we welcome contributions that address key challenges related to water quantity and quality at the watershed scale, aiming to advance our understanding of watershed hydrology. Despite progress in the field, critical knowledge gaps remain in areas such as hydrological flux partitioning, process representation, sediment transport, flood forecasting, and uncertainty quantification. We invite the submission of studies that focus on watershed modeling, the development of new tools and frameworks for watershed-scale simulation, novel methods for analyzing hydrological signals, and integrated approaches for evaluating surface and subsurface hydrological processes. Submissions using physically based models, data-driven techniques, or hybrid approaches are particularly encouraged.
Dr. Gabriel Perez
Guest Editor
Dr. Nicolás Velásquez
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.
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Keywords
- watershed hydrology
- hydrological modeling
- uncertainty analysis
- surface and subsurface processes
- sediment transport
- flood forecasting
- machine learning in hydrology
- hydrological signal analysis
- model development and calibration
- watershed-scale simulation
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