Marino (2025) REST-COAST Sicily - SWAN+XBeach flood model results

Identification

• Journal: Mendeley Data
• Year: 2025
• Date: 2025-12-08
• Authors: Marino, Massimiliano
• DOI: 10.17632/7zx82byrcc.1

Research Groups

• Università degli Studi di Catania

Short Summary

This study presents SWAN+XBeach model results simulating coastal flood areas in Granelli, Sicily, under present and future climate change scenarios (2070, 2100) for 50-year and 100-year return period storms, evaluating the efficacy of Nature-based Solutions (NbS).

Objective

• To simulate coastal flood areas in Granelli, Sicily, under present and future climate change scenarios and assess the efficacy of Nature-based Solutions (NbS) for coastal protection against extreme storm events.

Study Configuration

• Spatial Scale: Local coastal area of Granelli, Cuba-Longarini case study, South-East of Sicily.
• Temporal Scale: Present conditions and future climate change projections for two time horizons (2070 and 2100), considering storm-peak sea states associated with 50-year and 100-year return periods.

Methodology and Data

• Models used: SWAN+XBeach hydro-morphodynamic modelling chain.
• Data sources: Model inputs include significant wave height and sea level rise, used to simulate flood areas under various scenarios (present, SSP2-4.5, SSP5-8.5) and NbS configurations.

Main Results

• The study provides simulated coastal flood areas for the beach village of Granelli, Sicily, under 50-year and 100-year return period storm events.
• Floods are simulated for present conditions and two climate change projected scenarios (SSP2-4.5 and SSP5-8.5) with two time horizons (2070 and 2100).
• The model results evaluate the performance of a range of Nature-based Solutions in reducing flooded city areas compared to a no-NbS scenario.

Contributions

• This study provides a comprehensive dataset of simulated coastal flood areas for Granelli, Sicily, under various climate change projections and extreme storm events.
• It offers a model-based assessment of the efficacy of Nature-based Solutions in mitigating coastal flood risk, providing valuable insights for coastal protection strategies under future climate scenarios.

Funding

• European Union’s Horizon 2020 Innovation Action under grant agreement No 101037097 (REST-COAST project).

Citation

@article{Marino2025RESTCOAST,
  author = {Marino, Massimiliano},
  title = {REST-COAST Sicily - SWAN+XBeach flood model results},
  journal = {Mendeley Data},
  year = {2025},
  doi = {10.17632/7zx82byrcc.1},
  url = {https://doi.org/10.17632/7zx82byrcc.1}
}