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Journal ArticleDOI

A GIS-based vulnerability assessment of coastal natural hazards, state of Pará, Brazil

Claudio Fabian Szlafsztein, +1 more
- 15 Aug 2007 - 
- Vol. 11, Iss: 1, pp 53-66
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TLDR
In this article, a Geographical Information Systems (GIS)-based composite coastal vulnerability index (CVI) is proposed to identify, assess and classify natural and socio-economic vulnerabilities of this coastal zone by means of a GIS-based composite Coastal vulnerability index.
Abstract
Studies carried out in the NE coastal zone of the State of Para (Brazil) have recorded, in the last 25 years, numerous evidence of natural impacts of the flood and erosion processes. As a consequence, diverse strategies and measures of population adaptation have been implemented but with limited success. Therefore, in order to subsidize the Coastal Zone Management Program of Para, this paper aims to identify, assess and classify natural and socio-economic vulnerabilities of this coastal zone by means of a Geographical Information Systems (GIS)-based composite coastal vulnerability index (CVI). In spite of the data problems and shortcomings, using ESRI’s Arcview 3.2 program, the CVI score, to classify, weight and combine a number of 16 separate natural and socio-economic variables to create a single indicator provides a reliable measure of differences (5 classes) among regions and communities that are exposed to similar ranges of hazards. The results are presented in three maps referred to as Natural, Socioeconomic and Total Vulnerability. The confidence associated with the results obtained, the need to utilize another variables, and to frequently update the ones used already were analyzed and discussed.

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Citations
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A Comparative Analysis of Disaster Risk, Vulnerability and Resilience Composite Indicators.

TL;DR: Substantial variety in construction practices of composite indicators of risk, vulnerability and resilience were found and a number of potential limitations of the present state of practice and how these might impact on decision makers are discussed.
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Coastal vulnerability assessment of Puducherry coast, India, using the analytical hierarchical process

TL;DR: In this article, an analytical hierarchical process (AHP)-based approach to coastal vulnerability studies as an improvement to the existing methodologies for vulnerability assessment is presented. And the authors also encourage the inclusion of socioeconomic parameters along with the physical parameters to calculate the coastal vulnerability index using AHP-derived weights.
Journal ArticleDOI

Coastal multi-hazard vulnerability assessment along the Ganges deltaic coast of Bangladesh–A geospatial approach

TL;DR: In this paper, the authors attempted to develop a coastal vulnerability index (CVI) by using seven physical parameters namely: (a) geomorphology; (b) coastal slope; (c) shoreline change rate; (d) rate of sea level change; (e) mean tide range; (f) bathymetry; and (g) storm surge height.
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National assessment of coastal vulnerability to sea-level rise for the Chinese coast

TL;DR: Wang et al. as discussed by the authors presented a national assessment of the vulnerability of the Chinese coast using 8 physical variables: sea-level rise, coastal geomorphology, elevation, slope, shoreline erosion, land use, mean tide range, and mean wave height.
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Integrated flood vulnerability assessment approach based on TOPSIS and Shannon entropy methods

TL;DR: This integrated assessment method can provide decision makers with highly targeted decision making references to effectively reduce the flood vulnerability of the study area by considering the inhomogeneity of the internal attributes.
References
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