Computational Methods in River Hydraulics and Density-Stratified Flow
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Hydraulics and Hydrodynamics".
Deadline for manuscript submissions: closed (15 October 2023) | Viewed by 2815
Special Issue Editors
Interests: computational fluid dynamics; turbulence; hydraulic engineering; river hydraulics; fluid mechanics
Special Issue Information
Dear Colleagues,
This Special Issue focuses on state-of-the-art computational methods for river dynamics and estuary processes. In an estuary, freshwater from river discharge interacts with oceanic shelf-water, giving rise to density-stratified flow. This Special Issue aims to advance numerical techniques and update effective strategies for their validations, and also covers Eulerian, Lagrangian, and artificial intelligence techniques. Interesting applications include river turbulence, river sediment transport, morphological evolution, estuary hydrodynamics, river plume, salinity transport and intrusion, tidal flushing, as well as the fate and transport of wastes and pollutants in a density-stratified estuary. This Special Issue is situated within the existing literature of river and estuary dynamics and current trends. The recent decade has witnessed an increasingly expanding research focus on extreme computing, multi-phase flow, Big Data, the GIS-based assessment of river modelling, large-scale river turbulence measurements, the estimation of river discharge and estuary depth from remote sensing, the computer prediction of river plume impacts on coastal water, the Lagrangian modeling of turbulence in a tidally influenced river, the prediction of river sediment transport using neural network models, the computer forecast effects of sea level rise on estuary hydrodynamics and transport processes, and the coupled prediction of hydrodynamics and water quality in natural and urbanised estuaries.
Prof. Dr. S. Samuel Li
Dr. Tibing Xu
Guest Editors
Manuscript Submission Information
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Keywords
- computational methods
- river dynamics
- estuary processes
- turbulence
- sediment transport
- salinity transport
- neural network models
