Smyth, T.A.G. (2016) A review of Computational Fluid Dynamics (CFD) airflow modelling over aeolian landforms. Aeolian Research, 22. pp. 153-164. ISSN 1875-9637
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Abstract
Aeolian landforms occur on all earths’ continents as well as on Mars, Titan and Venus and are typically formed where sediment is eroded and/or deposited by near surface wind flow. As wind flow approaches an aeolian landform, secondary flow patterns are created that cause wind to deviate in both speed and direction, producing complex patterns of sediment erosion, deposition and transportation.Computational Fluid Dynamics (CFD) modelling of wind flow has become a common tool to predict and understand secondary wind flow and resulting sediment transport. Its use has progressed from simulating
wind flow over simple two dimensional dune shapes, to calculating a multitude of flow parameters over a range of increasingly complex landforms. Analysis of 25 peer reviewed journal articles, found that CFD has been crucial to providing additional insight to flow dynamics on the stoss slope of dunes, the structure and nature of wind flow separation in the lee of landforms and information on localised wind flow variations in large-scale dune fields. The findings of this assay demonstrate that further research is required regarding the parameterisation and modelling of surface roughness, the incorporation
of accurate sediment transport to wind flow models, and the prediction of topographic surface changes. CFD is anticipated to be increasingly utilised in aeolian geomorphology and this work aims to be a starting point for aeolian geomorphologists wishing to better understand and review the utilisation
of the technique to date.
Item Type: | Article |
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Additional Information and Comments: | “NOTICE: this is the author’s version of a work that was accepted for publication in Aeolian Research. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Aeolian Research, [VOL 22, (September 2016)] DOI#10.1016/j.aeolia.2016.07.003¨ |
Faculty / Department: | Faculty of Human and Digital Sciences > School of Computer Science and the Environment |
Depositing User: | Thomas Smyth |
Date Deposited: | 08 Mar 2017 11:55 |
Last Modified: | 13 Jan 2025 14:12 |
URI: | https://hira.hope.ac.uk/id/eprint/1643 |
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