Improvement of a coastal vulnerability index and its application along the Calabria Coastline, Italy
Abstract The present paper further develops a coastal vulnerability index formulation (CVI) previously proposed by the authors by integrating a new variable and redefining three variables to improve the suitability of the index for low-lying coasts. Eleven variables are divided into three typologica...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2022-12-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-022-26374-w |
| _version_ | 1797977506133835776 |
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| author | Daniela Pantusa Felice D’Alessandro Ferdinando Frega Antonio Francone Giuseppe Roberto Tomasicchio |
| author_facet | Daniela Pantusa Felice D’Alessandro Ferdinando Frega Antonio Francone Giuseppe Roberto Tomasicchio |
| author_sort | Daniela Pantusa |
| collection | DOAJ |
| description | Abstract The present paper further develops a coastal vulnerability index formulation (CVI) previously proposed by the authors by integrating a new variable and redefining three variables to improve the suitability of the index for low-lying coasts. Eleven variables are divided into three typological groups: geological, hydro-physical process and vegetation. The geological variables are: geomorphology, shoreline erosion/accretion rates, coastal slope, emerged beach width, and dune. The hydro-physical process group includes: river discharge, sea-level change, mean significant wave height and mean tide range. The vegetation variables are: vegetation behind the back-beach and coverage of Posidonia oceanica. The index was applied to a stretch of the Ionian coast in the province of Crotone in the Calabria region (Southern Italy), and a vulnerability map was produced. A geography information system (GIS) platform was used to better process the data. For the case study area, the most influential variables are shoreline erosion/accretion rates, coastal slope, emerged beach width, dune, vegetation behind the back-beach, and coverage of Posidonia oceanica. The most vulnerable transects are those near urban areas characterized by the absence of dunes and vegetation. Statistical and sensitivity analyses were performed, and the proposed CVI was compared with the previous formulation proposed by the authors and with two other CVI methods present in the literature. |
| first_indexed | 2024-04-11T05:08:00Z |
| format | Article |
| id | doaj.art-e01afb453f374bc6b47f870f510a8408 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-04-11T05:08:00Z |
| publishDate | 2022-12-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-e01afb453f374bc6b47f870f510a84082022-12-25T12:12:48ZengNature PortfolioScientific Reports2045-23222022-12-0112111910.1038/s41598-022-26374-wImprovement of a coastal vulnerability index and its application along the Calabria Coastline, ItalyDaniela Pantusa0Felice D’Alessandro1Ferdinando Frega2Antonio Francone3Giuseppe Roberto Tomasicchio4Faculty of Engineering, eCampus UniversityDepartment of Environmental Science and Policy, University of MilanDepartment of Civil Engineering, University of CalabriaDepartment of Engineering for Innovation, University of SalentoDepartment of Engineering for Innovation, University of SalentoAbstract The present paper further develops a coastal vulnerability index formulation (CVI) previously proposed by the authors by integrating a new variable and redefining three variables to improve the suitability of the index for low-lying coasts. Eleven variables are divided into three typological groups: geological, hydro-physical process and vegetation. The geological variables are: geomorphology, shoreline erosion/accretion rates, coastal slope, emerged beach width, and dune. The hydro-physical process group includes: river discharge, sea-level change, mean significant wave height and mean tide range. The vegetation variables are: vegetation behind the back-beach and coverage of Posidonia oceanica. The index was applied to a stretch of the Ionian coast in the province of Crotone in the Calabria region (Southern Italy), and a vulnerability map was produced. A geography information system (GIS) platform was used to better process the data. For the case study area, the most influential variables are shoreline erosion/accretion rates, coastal slope, emerged beach width, dune, vegetation behind the back-beach, and coverage of Posidonia oceanica. The most vulnerable transects are those near urban areas characterized by the absence of dunes and vegetation. Statistical and sensitivity analyses were performed, and the proposed CVI was compared with the previous formulation proposed by the authors and with two other CVI methods present in the literature.https://doi.org/10.1038/s41598-022-26374-w |
| spellingShingle | Daniela Pantusa Felice D’Alessandro Ferdinando Frega Antonio Francone Giuseppe Roberto Tomasicchio Improvement of a coastal vulnerability index and its application along the Calabria Coastline, Italy Scientific Reports |
| title | Improvement of a coastal vulnerability index and its application along the Calabria Coastline, Italy |
| title_full | Improvement of a coastal vulnerability index and its application along the Calabria Coastline, Italy |
| title_fullStr | Improvement of a coastal vulnerability index and its application along the Calabria Coastline, Italy |
| title_full_unstemmed | Improvement of a coastal vulnerability index and its application along the Calabria Coastline, Italy |
| title_short | Improvement of a coastal vulnerability index and its application along the Calabria Coastline, Italy |
| title_sort | improvement of a coastal vulnerability index and its application along the calabria coastline italy |
| url | https://doi.org/10.1038/s41598-022-26374-w |
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