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Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Volume 18, issue 11 | Copyright
Nat. Hazards Earth Syst. Sci., 18, 2841-2857, 2018
https://doi.org/10.5194/nhess-18-2841-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 02 Nov 2018

Research article | 02 Nov 2018

Wave run-up prediction and observation in a micro-tidal beach

Diana Di Luccio1, Guido Benassai2, Giorgio Budillon1, Luigi Mucerino3, Raffaele Montella1, and Eugenio Pugliese Carratelli4 Diana Di Luccio et al.
  • 1University of Naples Parthenope, Science and Technologies Department, Centro Direzionale Is. C4, 80143 Naples, Italy
  • 2University of Naples Parthenope, Engineering Department, Centro Direzionale Is. C4, 80143 Naples, Italy
  • 3University of Genoa, Department of Earth, Environment and Life Sciences, Corso Europa 26, 16132 Genoa, Italy
  • 4Inter-University Consortium for the Prediction and Prevention of Major Risks Hazards (CUGRI), 84080 Penta di Fisciano (SA), Italy

Abstract. Extreme weather events bear a significant impact on coastal human activities and on the related economy. Forecasting and hindcasting the action of sea storms on piers, coastal structures and beaches is an important tool to mitigate their effects. To this end, with particular regard to low coasts and beaches, we have developed a computational model chain based partly on open-access models and partly on an ad-hoc-developed numerical calculator to evaluate beach wave run-up levels and flooding. The offshore wave simulations are carried out with a version of the WaveWatch III model, implemented by CCMMMA (Campania Centre for Marine and Atmospheric Monitoring and Modelling – University of Naples Parthenope), validated with remote-sensing data. The waves thus computed are in turn used as initial conditions for the run-up calculations, carried out with various empirical formulations; the results were finally validated by a set of specially conceived video-camera-based experiments on a micro-tidal beach located on the Ligurian Sea. Statistical parameters are provided on the agreement between the computed and observed values. It appears that, while the system is a useful tool to properly simulate beach flooding during a storm, empirical run-up formulas, when used in a coastal vulnerability context, have to be carefully chosen, applied and managed, particularly on gravel beaches.

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Forecasting and hindcasting the action of sea storms on piers, coastal structures and beaches is important to mitigate their effects. To this end, with particular regard to low coasts and beaches, we have configured a computational model chain based partly on open-access models and partly on an ad-hoc-developed numerical calculator to evaluate beach wave run-up levels. The results were validated by a set of specially conceived video-camera-based experiments on a micro-tidal beach.
Forecasting and hindcasting the action of sea storms on piers, coastal structures and beaches is...
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