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Auteur Julia Caon Araujo |
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Multicriterial method of AHP analysis for the identification of coastal vulnerability regarding the rise of sea level: case study in Ilha Grande Bay, Rio de Janeiro, Brazil / Julia Caon Araujo in Natural Hazards, vol 107 n° 1 (May 2021)
[article]
Titre : Multicriterial method of AHP analysis for the identification of coastal vulnerability regarding the rise of sea level: case study in Ilha Grande Bay, Rio de Janeiro, Brazil Type de document : Article/Communication Auteurs : Julia Caon Araujo, Auteur ; Fabio Ferreira Dias, Auteur Année de publication : 2021 Article en page(s) : pp 53 - 72 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse multicritère
[Termes IGN] changement climatique
[Termes IGN] érosion côtière
[Termes IGN] modèle numérique de terrain
[Termes IGN] montée du niveau de la mer
[Termes IGN] processus de hiérarchisation analytique
[Termes IGN] Rio de Janeiro
[Termes IGN] surveillance du littoral
[Termes IGN] système d'information géographiqueRésumé : (auteur) Current climate changes have several consequences, such as rising sea levels. Today, the identification of coastal vulnerabilities worldwide is necessary to prevent impacts and drive action. The aim of the work was to estimate the vulnerable areas from a total rate of increase in sea level of 2.8 m and to identify the impacts of greater magnitude through the use of hierarchical analysis. The analytic hierarchy process method was used to list the most serious impacts. In addition, the simulation of the most vulnerable sites was carried out in a GIS environment using geoprocessing and a digital terrain model for the area of study. The Ilha Grande Bay region (southeastern Brazil) was chosen as a test area due to its economic, tourist and environmental importance. The main impacts are floods, coastal erosion and loss of coastal ecosystems. The most vulnerable areas are characterized as flat with low slopes, usually coastal plains occupied by environmental protection areas, urban centers and historical centers. The methodology proved to be effective in assessing and forecasting vulnerable areas and can be applied to several types of coastal areas. Numéro de notice : A2021-537 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/IMAGERIE Nature : Article DOI : 10.1007/s11069-021-04573-4 Date de publication en ligne : 05/02/2021 En ligne : https://doi.org/10.1007/s11069-021-04573-4 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98007
in Natural Hazards > vol 107 n° 1 (May 2021) . - pp 53 - 72[article]