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8245 Simulating offshore sand waves
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Németh, A.A. and Hulscher, S.J.M.H. and van Damme, R.M.J. (2006) Simulating offshore sand waves. Coastal Engineering, 53 (2-3). pp. 265-275. ISSN 0378-3839 *** ISI Impact 1,757 ***

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Official URL: http://dx.doi.org/doi:10.1016/j.coastaleng.2005.10.014

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Abstract

Sand waves form a prominent regular pattern in the offshore seabeds of sandy shallow seas and pose a threat to a range of offshore activities. A two-dimensional vertical (2DV) flow and morphological simulation model describing the behaviour of these sand waves has been developed. The simulation model contains the 2DV shallow water equations, with a free water surface and a general bed load formula. The water movement is coupled to the sediment transport equation with a seabed evolution equation. The domain is non-periodic in both directions. The spatial discretisation is performed by a spectral method based on Chebyshev polynomials. A fully implicit method is chosen for the discretisation in time. Firstly, we validate the simulation model mathematically by reproducing the results obtained using a linear stability analysis for infinitely small sand waves. Hereby, we investigate a steady current situation induced by a wind stress applied at the sea surface. The bed forms we find have wavelengths in the order of hundreds of metres when the resistance at the seabed is relatively large. The results show that it is possible to model the initial evolution of sand waves with a numerical simulation model. This paper forms the necessary first step to investigate the intermediate term behaviour of sand waves.

Item Type:Article
Research Group:EWI-MACS: Mathematics of Computational Science, CTW-WEM: Water Engineering and Management
Research Program:IMPACT-Mechanics of Fluids and Solids
Research Project:Modelling of spatial and temporal variations in offshore sandwaves -- process-oriented vs stochastic approach
ID Code:8245
Status:Published
Deposited On:18 January 2007
Refereed:Yes
International:Yes
ISI Impact Factor:1,757
More Information:statisticsmetis

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