دورية أكاديمية

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.

التفاصيل البيبلوغرافية
العنوان: 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.
المؤلفون: Araujo, Julia Caon, Dias, Fabio Ferreira
المصدر: Natural Hazards; May2021, Vol. 107 Issue 1, p53-72, 20p
مصطلحات موضوعية: SEA level, ANALYTIC hierarchy process, COASTAL changes, DIGITAL elevation models, COASTAL plains
مصطلحات جغرافية: RIO de Janeiro (Brazil), BRAZIL
مستخلص: 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. [ABSTRACT FROM AUTHOR]
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قاعدة البيانات: Complementary Index
الوصف
تدمد:0921030X
DOI:10.1007/s11069-021-04573-4