Journal cover Journal topic
Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
https://doi.org/10.5194/nhess-2017-252
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Research article
22 Sep 2017
Review status
This discussion paper is a preprint. A revision of the manuscript is under review for the journal Natural Hazards and Earth System Sciences (NHESS).
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 1University of Naples "Parthenope", Science and Technologies Department, Centro Direzionale Is. C4, 80143 Napoli, Italy
2University of Naples "Parthenope", Engineering Department, Centro Direzionale Is. C4, 80143 Napoli, Italy
3University of Genova, Department of Earth, Environment and Life Sciences, Corso Europa 26, 16132 Genova, Italy
4Inter-University Consortium for the Prediction and Prevention of Major Risks Hazards (CUGRI), 84080 Penta di Fisciano (SA), Italy
Abstract. Extreme weather events have significant impacts on coastal human activities and related economy. In this scenario the forecast of sea storms and wave run-up events is a challenging goal to mitigate the wave effects on shores, piers and coastal structures. To do this, we used a computational model chain based on both community and ad hoc developed numerical models in an operational context to evaluate the beach inundation levels. At this aim, we compared the results of simulated and observed wave run-up levels on a micro-tidal beach located on the northern Tyrrhenian Sea. The offshore wave simulations have been performed by WaveWatch III model, implemented by Campania Center for Marine and Atmospheric Monitoring and Modelling (CCMMMA) – University of Naples Parthenope, which were used as initial conditions for run-up calculations using different formulas. The validation of the simulated waves was done with different observation systems. The offshore wave simulations were matched with remote sensing data, while the run-up levels calculated with different formulas were compared with observations taken from a video camera system. The usual statistical errors were taken as a measurement of the modelling system capability to properly simulate the beach run-up during a storm.

Citation: Di Luccio, D., Benassai, G., Budillon, G., Mucerino, L., Montella, R., and Pugliese Carratelli, E.: Wave run-up prediction and observation in a micro-tidal beach, Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2017-252, in review, 2017.
Diana Di Luccio et al.
Diana Di Luccio et al.
Diana Di Luccio et al.

Viewed

Total article views: 257 (including HTML, PDF, and XML)

HTML PDF XML Total BibTeX EndNote
206 49 2 257 0 0

Views and downloads (calculated since 22 Sep 2017)

Cumulative views and downloads (calculated since 22 Sep 2017)

Viewed (geographical distribution)

Total article views: 257 (including HTML, PDF, and XML)

Thereof 252 with geography defined and 5 with unknown origin.

Country # Views %
  • 1

Saved

Discussed

Latest update: 13 Dec 2017
Publications Copernicus
Download
Share