1. A model chain approach for coastal inundation: Application to the bay of Alghero
- Author
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Iolanda Lisi, Debora Bellafiore, Francesco Memmola, Antonello Bruschi, Maurizio Brocchini, Matteo Postacchini, F. Lalli, and Gianluca Zitti
- Subjects
0106 biological sciences ,Shore ,geography ,geography.geographical_feature_category ,010504 meteorology & atmospheric sciences ,010604 marine biology & hydrobiology ,Breaking wave ,Storm ,Aquatic Science ,Solver ,Oceanography ,01 natural sciences ,Coastal erosion ,Lead (geology) ,Climatology ,Coastal flooding ,Coastal regulation ,Numerical model chain ,NSWE ,SWAN-ROMS ,Kassandra ,Environmental science ,Coastal flood ,Bay ,0105 earth and related environmental sciences - Abstract
Coastal inundation is an important threat for many nearshore regions worldwide, and has significantly increased in the last years also due to sea-level rise and augmented impact of extreme events, like sea storms. Many countries and regions have recently invested to overcome such problems, which commonly lead to structure damages, beach erosion and many other consequences. Numerical modeling is an important tool for coastal inundation prediction, being a valuable support for management issues to mitigate the inundation risk or suggest resilient solutions. The present work illustrates a novel approach, based on a numerical model chain that exploits a tide-surge-wave operational modeling system (Kassandra), a phase-averaged model (ROMS-SWAN) for the wave propagation towards the shore, and a phase-resolving solver (NSWE) for the prediction of runup and coastal inundation. Such a chain is applied to the bay of Alghero (Sardinia, Italy), where the results of the mentioned chain are compared to those obtained using, in place of the phase-averaged model, an analytical model for the wave propagation. Results confirm that both chain approaches provide comparable inundations, though the use of the analytical, more approximate (e.g., less accurate and reliable description of wave breaking dissipation), model suggests more severe conditions and larger flooded areas. Our contribution provides a methodological approach for an accurate and reliable estimate of coastal flooding.
- Published
- 2019
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