An index-based method for coastal-flood risk assessment in low-lying areas (Costa de Caparica, Portugal)

Silva, Susana Ferreira; Martinho, Marta; Capitão, R.; Reis, Teresa; Fortes, Conceição Juana; Ferreira, José Carlos

doi:10.1016/j.ocecoaman.2017.04.010

Cited by 50 publications

(28 citation statements)

References 17 publications

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“…In order to assess the coastal vulnerability, i.e., to classify the coastal stretch in terms of its physical features related to the proneness to coastal flooding, the Coastal Vulnerability Index (CVI) proposed by Gornitz et al [12] and used by several studies (e.g., [10,[49][50][51]) has been considered. The CVI has been modified and used for the case study described in Section 3 in order to adapt it to the intrinsic parameters of the considered area.…”

Section: Coastal Vulnerability Index and Coastal Hazard Indexmentioning

confidence: 99%

“…Usually, the ranking of each factor is based on qualitative reasoning and on the distribution of the data (i.e., the quartile range if four ranks are used) of the area of interest (e.g., [49]). As the present work is aimed at assessing the vulnerability of a rather small study area, the ranking of each factor has been defined on the basis of the literature review (e.g., [10,[49][50][51]) and of typical values of Italian coasts.…”

Section: Coastal Vulnerability Index and Coastal Hazard Indexmentioning

confidence: 99%

“…Thus, coastal risk is related to a future situation that has a more-or-less high probability of occurrence, then it is clearly different from dangerous events' management. However, it has been observed that different interpretations of the same concepts (i.e., the vulnerability, the hazard and the related risk) may lead to different studies and conclusions (e.g., [9,10]). FLOODsite (e.g., [11]) defines the flood risk as two alternatives.…”

Section: Introductionmentioning

confidence: 99%

“…The second definition (risk = probability × consequences) takes into account the probability of the flood. Herein, the coastal "vulnerability" is used to classify the coastal stretch features (i.e., geomorphology, coastal slope, mean significant wave height) according to a degree scale (from low to very high vulnerability, [10]). On the other hand, the coastal "hazard" is defined as the probability of occurrence of a natural phenomenon that induces coastal flooding (i.e., [10]).…”

Section: Introductionmentioning

confidence: 99%

“…Herein, the coastal "vulnerability" is used to classify the coastal stretch features (i.e., geomorphology, coastal slope, mean significant wave height) according to a degree scale (from low to very high vulnerability, [10]). On the other hand, the coastal "hazard" is defined as the probability of occurrence of a natural phenomenon that induces coastal flooding (i.e., [10]). Accordingly, a Coastal Vulnerability Index (e.g., [12]) and a Coastal Hazard Index were both evaluated in the study illustrated herein.…”

Section: Introductionmentioning

confidence: 99%

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Comparative Analysis of Coastal Flooding Vulnerability and Hazard Assessment at National Scale

Risio

Bruschi

Lisi

et al. 2017

JMSE

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Abstract:The evaluation of the coastal hazard and vulnerability caused by storm conditions is an important issue related to coastal flooding and erosion. Although these topics have been widely tackled by past research, they cannot be avoided, but need to be carefully managed by local authorities in order to limit damage to coastal infrastructure, to protect human life, habitats and sensitive species. Usually, this issue is tackled through common approaches at the regional scale. This paper illustrates the first steps of a research project aimed at assessing coastal hazard and vulnerability to wave-induced flooding at the national scale. In order to apply the method to the national scale, it is necessary to select a suitable dataset. This has to be consistent with the whole application area, concerning its spatial distribution, reliability and availability. Thus, one of the aims of this project is to perform a comparative analysis using data available at the national and local scale. The analysis was performed for the area of Montalto di Castro (Tyrrhenian Sea) by using datasets with different spatial resolutions. The results revealed that the use of low resolution data does not significantly affect the estimated nearshore wave features, while the wave runup in underestimated by about 25%. This underestimation influences also the vulnerability and hazard assessments. In particular, the vulnerability is conservatively assessed if low resolution data are used. On the other hand, the hazard is conservatively assessed when low resolution data are used only if the wave runup is amplified by considering the 25% underestimation. The results presented herein can be extended to other sites with the same general features (i.e., microtidal and dissipative coastal stretches).

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Section: Coastal Vulnerability Index and Coastal Hazard Indexmentioning

confidence: 99%