Publication | Open Access
Applicability of video-derived bathymetry estimates to nearshore current model predictions
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Citations
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References
2014
Year
Coastal EngineeringEngineeringCbathy AlgorithmCoastal ModelingOceanographyCoastal ProcessCoastal HydrodynamicsEarth ScienceUnderwater ImagingGeophysicsNearshore ProcessBathymetryGeographyCoastal Field MeasurementCbathy BedCoastal ProcessesHydrologySediment TransportPhysical OceanographyOcean EngineeringCivil EngineeringRemote SensingCbathy BathymetryCurrent Model Predictions
Radermacher, M., Wengrove, M.E., Van Thiel de Vries, J.S.M., Holman, R.A., 2014. Applicability of video-derived bathymetry estimates to nearshore current model predictions. In: Green, A.N. and Cooper, J.A.G. (eds.), Proceedings 13th International Coastal Symposium (Durban, South Africa), Journal of Coastal Research, Special Issue No. 70, pp. 290–295, ISSN 0749-0208.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 wavenumber-based 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.
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