Coastal inundation threatens both economic assets and human lives, yet accurate flood mapping remains limited by gaps in data availability and model capabilities. In this study, we enhanced the LISFLOOD-FP model to simulate coastal floods by incorporating wave setup, swash dynamics, and interactions with protective infrastructure such as temporary dunes. We applied this approach to Cesenatico, Italy, where seasonal dunes serve as winter coastal defenses, analyzing two contrasting storm events with observational data for validation: the 2015 Saint Agatha Storm, which breached the dunes causing extensive inland flooding, and the 2022 Denise Storm, where intact dunes successfully prevented inundation. Our results demonstrate that dunes effectively mitigate flooding when intact, but failure of even small sections can trigger widespread inundation, highlighting the critical need for optimized design. This work advances the development of coastal digital twins by introducing a computationally efficient representation of essential physical processes – swash-related erosion of dune stability and swash contribution to flood volumes through an overwash efficiency parameter – enabling practical risk assessment and infrastructure planning in vulnerable coastal regions.

Lopes, I.D.R., Federico, I., Vousdoukas, M., Perini, L., Causio, S., Coppini, G., et al. (2026). Numerical modelling framework for assessing dune effectiveness against coastal inundation. NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 26(2), 811-825 [10.5194/nhess-26-811-2026].

Numerical modelling framework for assessing dune effectiveness against coastal inundation

Lopes, Italo dos Reis;Causio, Salvatore;Coppini, Giovanni;Pinardi, Nadia;Mentaschi, Lorenzo
2026

Abstract

Coastal inundation threatens both economic assets and human lives, yet accurate flood mapping remains limited by gaps in data availability and model capabilities. In this study, we enhanced the LISFLOOD-FP model to simulate coastal floods by incorporating wave setup, swash dynamics, and interactions with protective infrastructure such as temporary dunes. We applied this approach to Cesenatico, Italy, where seasonal dunes serve as winter coastal defenses, analyzing two contrasting storm events with observational data for validation: the 2015 Saint Agatha Storm, which breached the dunes causing extensive inland flooding, and the 2022 Denise Storm, where intact dunes successfully prevented inundation. Our results demonstrate that dunes effectively mitigate flooding when intact, but failure of even small sections can trigger widespread inundation, highlighting the critical need for optimized design. This work advances the development of coastal digital twins by introducing a computationally efficient representation of essential physical processes – swash-related erosion of dune stability and swash contribution to flood volumes through an overwash efficiency parameter – enabling practical risk assessment and infrastructure planning in vulnerable coastal regions.
2026
Lopes, I.D.R., Federico, I., Vousdoukas, M., Perini, L., Causio, S., Coppini, G., et al. (2026). Numerical modelling framework for assessing dune effectiveness against coastal inundation. NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 26(2), 811-825 [10.5194/nhess-26-811-2026].
Lopes, Italo Dos Reis; Federico, Ivan; Vousdoukas, Michalis; Perini, Luisa; Causio, Salvatore; Coppini, Giovanni; Milella, Maurilio; Pinardi, Nadia; M...espandi
File in questo prodotto:
File Dimensione Formato  
nhess-26-811-2026.pdf

accesso aperto

Tipo: Versione (PDF) editoriale / Version Of Record
Licenza: Licenza per Accesso Aperto. Creative Commons Attribuzione (CCBY)
Dimensione 23.06 MB
Formato Adobe PDF
23.06 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/1049041
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
  • OpenAlex ND
social impact