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Evolution of Coastal Environments under Inundation Scenarios Using an Oceanographic Model and Remote Sensing Data

Authors :
Sergio Cappucci
Adriana Carillo
Roberto Iacono
Lorenzo Moretti
Massimiliano Palma
Gaia Righini
Fabrizio Antonioli
Gianmaria Sannino
Source :
Remote Sensing, Vol 16, Iss 14, p 2599 (2024)
Publication Year :
2024
Publisher :
MDPI AG, 2024.

Abstract

A new methodology to map Italian coastal areas at risk of flooding is presented. This approach relies on detailed projections of the future sea level from a high-resolution, three-dimensional model of the Mediterranean Sea circulation, on the best available digital terrain model of the Italian coasts, and on the most advanced satellite-derived data of ground motion, provided by the European Ground Motion Service of Copernicus. To obtain a reliable understanding of coastal evolution, future sea level projections and estimates of the future vertical ground motion based on the currently available data were combined and spread over the digital terrain model, using a GIS-based approach specifically developed for this work. The coastal plains of Piombino-Follonica and Marina di Campo (Tuscany Region), Alghero-Fertilia (Sardinia), and Rome and Latina-Sabaudia (Lazio Region) were selected as test cases for the new approach. These coastal stretches are important for the ecosystems and the economic activities they host and are relatively stable areas from a geological point of view. Flood maps were constructed for these areas, for the reference periods 2010–2040, 2040–2070, and 2040–2099. Where possible, the new maps were compared with previous results, highlighting differences that are mainly due to the more refined and resolved sea-level projection and to the detailed Copernicus ground motion data. Coastal flooding was simulated by using the “bathtub” approach without considering the morphodynamic processes induced by waves and currents during the inundation process. The inundation zone was represented by the water level raised on a coastal DTM, selecting all vulnerable areas that were below the predicted new water level. Consequent risk was related to the exposed asset.

Details

Language :
English
ISSN :
20724292
Volume :
16
Issue :
14
Database :
Directory of Open Access Journals
Journal :
Remote Sensing
Publication Type :
Academic Journal
Accession number :
edsdoj.f9c790bff7b647ef8a104c7b63a07842
Document Type :
article
Full Text :
https://doi.org/10.3390/rs16142599