High resolution measured and modelled three-dimensional airflow over a coastal bowl blowout

Smyth, Thomas; Jackson, Derek W.T.; Cooper, J. Andrew G.

doi:10.1016/j.geomorph.2012.07.014

Cited by 65 publications

(68 citation statements)

References 23 publications

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“…The airflow within the blowout behaves significantly different from that of the approaching wind (Smyth et al, 2013): it is topographically manipulated, which causes significant steering, acceleration and even turbulent flow in some circumstances (Hesp and Pringle, 2001;Hugenholtz and Wolfe, 2009;Hesp and Walker, 2012;Smyth et al, 2012;Jackson et al, 2013;Smyth et al, 2013). These findings confirm the occurrence of form-flow feedback effects (Hugenholtz and Wolfe, 2009), and that they are essential component of sediment transport and development within the blowout.…”

Section: Introductionmentioning

confidence: 77%

Airflow and sediment movement within an inland blowout in Hulun Buir sandy grassland, Inner Mongolia, China

et al. 2016

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Section: Introductionmentioning

confidence: 77%

Airflow and sediment movement within an inland blowout in Hulun Buir sandy grassland, Inner Mongolia, China

et al. 2016

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“…Wind flow over the dune surface was simulated using CFD, which has been used successfully to simulate flow over a number of coastal dune landforms (Pattanapol et al, 2008;Wakes et al, 2010;Jackson et al, 2011;Smyth et al, 2012;. Simulations in this study were performed using open-source software, OpenFOAM, which is capable of solving a range of complex fluid flows but also includes tools for meshing the surface topography and visualising the results.…”

Section: Computational Fluid Dynamics (Cfd) Methodologymentioning

confidence: 99%

“…The turbulence model is based on the Reynolds-averaged Navier-Stokes (RANS) equations, which focuses on the effects of turbulence on the average flow rather than resolving turbulence at every scale, as with direct numerical simulation (DNS) or at the larger scale like a large eddy simulation (LES). The RNG model has been used to accurately simulate near surface flow over a transverse dune in a wind tunnel (Parsons et al, 2004), coastal dune complex (Wakes et al, 2010), and a complex foredune blowout (Smyth et al, 2012;. The digital elevation model used to represent the dune surface within the computational domain was generated from RTK-DGPS points collected on site prior to the experiments.…”

Section: Computational Fluid Dynamics (Cfd) Methodologymentioning

confidence: 99%

Flow deflection over a foredune

et al. 2015

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Flow deflection of surface winds is common across coastal foredunes and blowouts. Incident winds approaching obliquely to the dune toe and crestline tend to be deflected towards a more crest-normal orientation across the stoss slope of the foredune. This paper examinesfield measurements for obliquely incident winds, and compares them to computational fluid dynamics (CFD) modelling of flow deflection in 10° increments from onshore (0°) to alongshore (90°) wind approach angles. The mechanics of flow deflection are discussed, followed by a comparative analysis of measured and modelled flow deflection data that shows strong agreement. CFD modelling of the full range of onshore to alongshore incident winds reveals that deflection of the incident wind flow is minimal at 0° and gradually increases as the incident wind turns towards 30° to the dune crest. The greatest deflection occurs between 30° and 70° incident to the dune crest. The degree of flow deflection depends secondarily on height above the dune surface, with the greatest effect near the surface and toward the dune crest. Topographically forced flow acceleration ("speed-up") across the stoss slope of the foredune is greatest for winds less than 30° (i.e., roughly perpendicular) and declines significantly for winds with more oblique approach angles. There is less lateral uniformity in the wind field when the incident wind approaches from >60° because the effect of aspect ratio on topographic forcing and streamline convergence is less pronounced.

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“…Results clearly show significant alteration of the forcing wind condition on the site and these have obvious implications for the local dune dynamics. Future work on this phenomenon should involve use of more detailed 3-D airflow models such as computational fluid dynamics (Jackson et al, , 2013aBeyers et al, 2010;Smyth et al, 2011Smyth et al, , 2012Smyth et al, , 2013 and particularly on any coherent air flow structures Bauer et al, 2013;Walker and Shugar, 2013) that may be induced by adding human infrastructure into active aeolian dunefields.…”

Section: Accumulation Ridge Characteristicsmentioning

confidence: 99%