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A Mediterranean coastal database for assessing the impacts of sea-level rise and associated hazards
We have developed a new coastal database for the Mediterranean basin that is intended for coastal impact and adaptation assessment to sea-level rise and associated hazards on a regional scale. The data structure of the database relies on a linear representation of the coast with associated spatial a...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870338/ https://www.ncbi.nlm.nih.gov/pubmed/29583140 http://dx.doi.org/10.1038/sdata.2018.44 |
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author | Wolff, Claudia Vafeidis, Athanasios T. Muis, Sanne Lincke, Daniel Satta, Alessio Lionello, Piero Jimenez, Jose A. Conte, Dario Hinkel, Jochen |
author_facet | Wolff, Claudia Vafeidis, Athanasios T. Muis, Sanne Lincke, Daniel Satta, Alessio Lionello, Piero Jimenez, Jose A. Conte, Dario Hinkel, Jochen |
author_sort | Wolff, Claudia |
collection | PubMed |
description | We have developed a new coastal database for the Mediterranean basin that is intended for coastal impact and adaptation assessment to sea-level rise and associated hazards on a regional scale. The data structure of the database relies on a linear representation of the coast with associated spatial assessment units. Using information on coastal morphology, human settlements and administrative boundaries, we have divided the Mediterranean coast into 13 900 coastal assessment units. To these units we have spatially attributed 160 parameters on the characteristics of the natural and socio-economic subsystems, such as extreme sea levels, vertical land movement and number of people exposed to sea-level rise and extreme sea levels. The database contains information on current conditions and on plausible future changes that are essential drivers for future impacts, such as sea-level rise rates and socio-economic development. Besides its intended use in risk and impact assessment, we anticipate that the Mediterranean Coastal Database (MCD) constitutes a useful source of information for a wide range of coastal applications. |
format | Online Article Text |
id | pubmed-5870338 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-58703382018-04-06 A Mediterranean coastal database for assessing the impacts of sea-level rise and associated hazards Wolff, Claudia Vafeidis, Athanasios T. Muis, Sanne Lincke, Daniel Satta, Alessio Lionello, Piero Jimenez, Jose A. Conte, Dario Hinkel, Jochen Sci Data Data Descriptor We have developed a new coastal database for the Mediterranean basin that is intended for coastal impact and adaptation assessment to sea-level rise and associated hazards on a regional scale. The data structure of the database relies on a linear representation of the coast with associated spatial assessment units. Using information on coastal morphology, human settlements and administrative boundaries, we have divided the Mediterranean coast into 13 900 coastal assessment units. To these units we have spatially attributed 160 parameters on the characteristics of the natural and socio-economic subsystems, such as extreme sea levels, vertical land movement and number of people exposed to sea-level rise and extreme sea levels. The database contains information on current conditions and on plausible future changes that are essential drivers for future impacts, such as sea-level rise rates and socio-economic development. Besides its intended use in risk and impact assessment, we anticipate that the Mediterranean Coastal Database (MCD) constitutes a useful source of information for a wide range of coastal applications. Nature Publishing Group 2018-03-27 /pmc/articles/PMC5870338/ /pubmed/29583140 http://dx.doi.org/10.1038/sdata.2018.44 Text en Copyright © 2018, The Author(s) http://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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article. |
spellingShingle | Data Descriptor Wolff, Claudia Vafeidis, Athanasios T. Muis, Sanne Lincke, Daniel Satta, Alessio Lionello, Piero Jimenez, Jose A. Conte, Dario Hinkel, Jochen A Mediterranean coastal database for assessing the impacts of sea-level rise and associated hazards |
title | A Mediterranean coastal database for assessing the impacts of sea-level rise and associated hazards |
title_full | A Mediterranean coastal database for assessing the impacts of sea-level rise and associated hazards |
title_fullStr | A Mediterranean coastal database for assessing the impacts of sea-level rise and associated hazards |
title_full_unstemmed | A Mediterranean coastal database for assessing the impacts of sea-level rise and associated hazards |
title_short | A Mediterranean coastal database for assessing the impacts of sea-level rise and associated hazards |
title_sort | mediterranean coastal database for assessing the impacts of sea-level rise and associated hazards |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870338/ https://www.ncbi.nlm.nih.gov/pubmed/29583140 http://dx.doi.org/10.1038/sdata.2018.44 |
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