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Published on: November 18, 2015
Coupling the dynamics of boundary layers and evolutionary dunes
Pablo Ortiz1, Piotr K Smolarkiewicz
1University of Granada, Ed. Politecnico, Campus Fuentenueva, 18071 Granada, Spain. portiz@ugr.es
This study models fluid flow and sediment transport around evolving sand dunes using a coupled numerical approach. The findings accurately reproduce known scaling results and demonstrate the method
Area of Science:
- Geomorphology
- Fluid Dynamics
- Computational Science
Background:
- Understanding sand dune evolution requires coupling atmospheric boundary layer dynamics with sediment transport.
- Simulating the vastly different timescales of wind flow and dune change presents a computational challenge.
Purpose of the Study:
- To develop a theoretical framework and numerical method for simulating coupled fluid flow and sediment transport around evolving sand dunes.
- To address the timescale disparity between planetary boundary layer flows and sand dune evolution.
- To validate the numerical approach with existing literature and demonstrate its versatility.
Main Methods:
- Utilized time-dependent curvilinear coordinates to couple atmospheric flow with landform evolution.
- Employed large eddy simulation for the boundary layer and formulated the interface profile as an advection-diffusion equation.
- Adopted a 'severe-wind scenario' to bridge timescale gaps and improve computational efficiency.
Main Results:
- The numerical framework successfully reproduces established scaling laws for sand dune evolution.
- The 'severe-wind scenario' significantly enhances computational efficiency with minimal impact on results.
- The model demonstrates versatility by simulating novel scenarios like sandhole evolution.
Conclusions:
- The developed theoretical and numerical approach provides a robust method for studying aeolian geomorphology.
- The computational strategy effectively handles the multi-scale nature of sand dune dynamics.
- This framework opens new avenues for investigating complex landscape evolution processes.
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