Over het archief
Het OWA, het open archief van het Waterbouwkundig Laboratorium heeft tot doel alle vrij toegankelijke onderzoeksresultaten van dit instituut in digitale vorm aan te bieden. Op die manier wil het de zichtbaarheid, verspreiding en gebruik van deze onderzoeksresultaten, alsook de wetenschappelijke communicatie maximaal bevorderen.
Dit archief wordt uitgebouwd en beheerd volgens de principes van de Open Access Movement, en het daaruit ontstane Open Archives Initiative.
Basisinformatie over ‘Open Access to scholarly information'.
Prediction of cross-shore beach profile evolution using a diffusion type model
Karunarathna, H.; Horrillo-Caraballo, J.M.; Reeve, D.E. (2012). Prediction of cross-shore beach profile evolution using a diffusion type model. Cont. Shelf Res. 48: 157-166. http://dx.doi.org/10.1016/j.csr.2012.08.004
In: Continental Shelf Research. Pergamon Press: Oxford; New York. ISSN 0278-4343; e-ISSN 1873-6955, meer
| |
Trefwoord |
|
Author keywords |
Coastal morphology; Beach profile evolution; Behaviour-oriented model; Diffusion equation; Canonical correlation analysis; Christchurch Bay |
Project | Top | Auteurs |
- Innovative coastal technologies for safer European coasts in a changing climate, meer
|
Auteurs | | Top |
- Karunarathna, H.
- Horrillo-Caraballo, J.M.
- Reeve, D.E.
|
|
|
Abstract |
A medium term morphodynamic prediction model for beach profiles, based on a 1-D diffusion formulation, is demonstrated here. The model combines an inverse methodology with a data-driven approach to derive unknown key parameters in the model governing equation. The field site used to demonstrate the model is Milford-on-Sea beach located within the Christchurch Bay beach system on the south coast of the UK, where historic measurements of cross-shore beach profile surveys and incident waves have been recorded over two decades. Despite the simplicity of the modelling approach, the model gives encouraging predictions of cross-shore beach profile changes at Milford-on-Sea. The predictive ability of the model is tested by forecasting measured beach changes on the basis of parameter calibrations performed on an independent set of measurements. Comparisons are also made against the results of a purely data-driven technique. In both cases the new method shows measureable improvements. |
IMIS is ontwikkeld en wordt gehost door het VLIZ.