Applicability of video-derived bathymetry estimates to nearshore current model predictions

Conference paper (2014)
Department
Hydraulic Engineering (CEG) (TU Delft)
Copyright: © 2014 Coastal Education & Research Foundation
DOI: https://doi.org/doi:10.2112/SI70-049.1
Numerical modeling Argus Sand Motor Bathymetry
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Published Date

18-04-2014

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Source:

Proceedings of the 13th International Coastal Symposium, Durban, South Africa, 13-17 April 2014. Journal of Coastal Research, Special Issue 70, 2014

ISSN:

0749-0208

Faculty

Civil Engineering and Geosciences

Department

Hydraulic Engineering

Abstract

In the framework of swimmer safety, coastal managers desire accurate nearshore current predictions obtained from numerical models. To this end, detailed and up-to-date bathymetry is a necessity. Remote sensing techniques for bathymetry estimation are a promising solution. The focus of this paper is to assess the performance of wavenumberbased bathymetric inversion using Argus imagery (also known as the cBathy algorithm) as a feasible input bathymetry for numerical models to make reasonable nearshore current predictions. Numerical flow simulations on a cBathy bed are compared to simulations on an in-situ surveyed bathymetry. Results demonstrate that simulated nearshore currents on a cBathy bathymetry have a root-mean-square error in the order of 10 cm/s (magnitude) and 40 degrees (direction) when compared to simulated currents on a surveyed bathymetry. In the intertidal zone cBathy should be combined with a different method for bathymetry estimation in order to decrease these errors.