River Dynamics: Flow and Sediment Transport
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Hydraulics and Hydrodynamics".
Deadline for manuscript submissions: 20 November 2026 | Viewed by 155
Editor
Interests: hydraulics and sediment transport in turbulence flow field; computational simulation of flow and sediment transport in rivers; two-dimensional computational simulation of reservoir sedimentation; mitigation of watershed erosion; scour around bridges and structures; urban flooding simulation; contaminant transport in canal sediment
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid application of artificial intelligence (AI) to accelerate scientific discovery has ushered in a new era of river dynamics research. Advances in data-enabled and physically based modeling approaches now allow researchers to address complex questions in flow and sediment transport that were previously intractable. Fundamental research questions—such as how flow and sediment transport interact to shape river dynamics—can now be explored using massive land surface and in situ observations combined with advanced machine learning (ML) and deep learning (DL) techniques.
This Special Issue, “River Dynamics: Flow and Sediment Transport”, seeks cutting-edge research contributions that advance our understanding of river dynamics through data-enabled and physically based approaches. Topics of interest include, but are not limited to, traditional and AI-powered numerical simulations of river evolution, experimental and numerical investigations of sediment transport mechanisms, and analyses of river morphological processes. Both innovative methodological studies and high-quality case studies employing emerging technologies are encouraged.
Prof. Dr. Jennifer G. Duan
Guest Editor
Manuscript Submission Information
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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
- river dynamics
- sediment transport
- computational model
- machine learning model
- deep learning model
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