globalchange  > 气候变化与战略
DOI: 10.1007/s11069-021-04573-4
论文题名:
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
作者: Araujo J.C.; Dias F.F.
刊名: Natural Hazards
ISSN: 0921030X
出版年: 2021
卷: 107, 期:1
起始页码: 53
结束页码: 72
语种: 英语
中文关键词: Climate change ; Coastal inundation ; Environmental impact assessment ; GIS ; Sea level rise
英文关键词: analytical hierarchy process ; environmental impact assessment ; GIS ; numerical model ; satellite data ; satellite imagery ; sea level change ; vulnerability ; Brazil ; Ilha Grande Bay ; Rio de Janeiro [Brazil]
英文摘要: 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. © 2021, The Author(s), under exclusive licence to Springer Nature B.V. part of Springer Nature.
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被引频次[WOS]:7   [查看WOS记录]     [查看WOS中相关记录]
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/168884
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作者单位: Postrgraduate Program in Marine Biology and Coastal Environments at Universidade Federal Fluminense, Instituto de Biologia Outeiro de São João Batista, Center, Niterói, Rio de Janeiro, 24020-971, Brazil

Recommended Citation:
Araujo J.C.,Dias F.F.. 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[J]. Natural Hazards,2021-01-01,107(1)
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