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Improvement of a coastal vulnerability index and its application along the Calabria Coastline, Italy
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:...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9763354/ https://www.ncbi.nlm.nih.gov/pubmed/36535998 http://dx.doi.org/10.1038/s41598-022-26374-w |
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author | Pantusa, Daniela D’Alessandro, Felice Frega, Ferdinando Francone, Antonio Tomasicchio, Giuseppe Roberto |
author_facet | Pantusa, Daniela D’Alessandro, Felice Frega, Ferdinando Francone, Antonio Tomasicchio, Giuseppe Roberto |
author_sort | Pantusa, Daniela |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9763354 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-97633542022-12-21 Improvement of a coastal vulnerability index and its application along the Calabria Coastline, Italy Pantusa, Daniela D’Alessandro, Felice Frega, Ferdinando Francone, Antonio Tomasicchio, Giuseppe Roberto Sci Rep Article 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. Nature Publishing Group UK 2022-12-19 /pmc/articles/PMC9763354/ /pubmed/36535998 http://dx.doi.org/10.1038/s41598-022-26374-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Pantusa, Daniela D’Alessandro, Felice Frega, Ferdinando Francone, Antonio Tomasicchio, Giuseppe Roberto Improvement of a coastal vulnerability index and its application along the Calabria Coastline, Italy |
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 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9763354/ https://www.ncbi.nlm.nih.gov/pubmed/36535998 http://dx.doi.org/10.1038/s41598-022-26374-w |
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