Postacchini, M.; Melito, L.; Ludeno, G. Nearshore Observations and Modeling: Synergy for Coastal Flooding Prediction. J. Mar. Sci. Eng.2023, 11, 1504.
Postacchini, M.; Melito, L.; Ludeno, G. Nearshore Observations and Modeling: Synergy for Coastal Flooding Prediction. J. Mar. Sci. Eng. 2023, 11, 1504.
Postacchini, M.; Melito, L.; Ludeno, G. Nearshore Observations and Modeling: Synergy for Coastal Flooding Prediction. J. Mar. Sci. Eng.2023, 11, 1504.
Postacchini, M.; Melito, L.; Ludeno, G. Nearshore Observations and Modeling: Synergy for Coastal Flooding Prediction. J. Mar. Sci. Eng. 2023, 11, 1504.
Abstract
Coastal inundation is recently requiring a significant attention worldwide. The increasing frequency and intensity of extreme events (sea storms, tsunami waves) are highly stressing the coastal envi-ronments, e.g. endangering a large number of residential areas, ecosystems, tourist facilities, and also leading to potential environmental risks. Predicting such events and the generated coastal flooding is thus of paramount importance and can be reached by exploiting the potential of different tools, like remote sensors and numerical modeling. To this aim, a combination is possible between marine radars and wave-resolving propagation models. While instruments like X-band radars are able at precisely reconstructing both wave field and bathymetry within a coastal area that is some kilometers offshore, wave-resolving Boussinesq-type models can reproduce the wave propagation in the nearshore and the consequent coastal flooding. The present work illustrates the reconstruc-tion of coastal data (wave field and seabed depth) conducted using radar signals and a specifically suited data processing, named “Local Method”, and the use of such coastal data to run numerical simulations of wave propagation (using the FUNWAVE-TVD solver) aimed at reproducing coastal inundation over different scenarios. Such scenarios are built using two different European beaches, i.e. Senigallia (Italy) and Oostende (Belgium), and three different directional spreading values, to evaluate the performances in case of either long- or short-crested waves. The overall validation of the methodology, in terms of maximum inundation, shows good performances, especially in case of short-crested wind waves. Furthermore, the application on the Oostende beach demonstrates that the present methodology might work only using open-access tools, i.e. an easy investigation of the coastal inundation and a potential low-cost integration into early warning systems.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
