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The role of susceptibility, exposure and vulnerability as drivers of flood disaster risk at the parish level
Publication . Santos, Pedro Pinto; Pereira, Susana; Rocha, Jorge; Reis, Eusébio; Santos, Mónica; Oliveira, Sérgio; Garcia, Ricardo; Melo, Raquel; Zêzere, José
Fluvial fooding continues to be a process that has a major impact on society, the environment and the economy. Although
its natural triggering factors, the spatial confguration of exposure and vulnerability is expected to play a relevant role in
explaining the damage records. The starting point of this research is the use of existing food susceptibility, exposure and
social vulnerability mapping, produced at the parish level, as input data in a Classifcation and Regression Trees’ (CART)
model. Two models were ran, autonomously, that use two databases of food damage as dependent variables: one including the
human damages (fatalities, missing, injured, displaced and evacuated people) from food events—the DISASTER database;
another one that sums the DISASTER cases and the lower impact damages (damages to roads, railroads and buildings). The
results show a quite distinct classifcation of parishes, whether one database is used or the other. The DISASTER database
reveals susceptibility as the most relevant food risk driver in explaining the damage patterns, while the database with all the
food cases identifes exposure as the more relevant driver. In the end, the degree of damages as documented in databases
is conditioned by the geographical distribution and overlay confguration of the three food risk drivers. Finally, the CART
classifcation groups are analyzed at the light of the European Union’s Floods Directive areas of signifcant potential food
risk. This analysis showed that the Directive’s parishes are interpreted diferently—in terms of their positioning in face of the
risk drivers—which is explained by the use of distinct impacting-criteria in the construction of the food damage databases.
On the Multi-hazard Risk Assessment of Urban Areas: Identification and Analysis of Exposure and Physical Vulnerability Indicators
Publication . Xofi, Maria; Domingues, José Carlos; Santos, Pedro Pinto; Pereira, Susana; Oliveira, Sérgio; Reis, Eusébio; Zêzere, José; Garcia, Ricardo; Lourenço, Paulo B.; Ferreira, Tiago Miguel
The development of integrated decision-support tools, able to assess multiple hazards at the regional and local scales, is a fundamental step to enhance the preparedness of urban areas to mitigate present and future risks arising from climate change. Understanding multi-hazard risk can help prioritize resilience-increasing actions and disaster prevention measures and form the basis for exploring institutional adjustments that improve stakeholders’ capacities to manage risk. Within this framework, the present research work aims to identify and analyze a set of exposure and buildings’ vulnerability indicators to be used as input to a multi-hazard risk assessment methodology. Exposure is to be measured using a dimensionless score resulting from the quantitative identification of the elements at risk. Regarding the physical vulnerability of buildings, it is to be evaluated on a hazard-by-hazard basis using a large-scale parametric-based vulnerability assessment approach. Finally, the obtained exposure and physical vulnerability indicators are to be put together in order to create different data layers, which are then used to identify hotspot risk areas. The Metropolitan Area of Lisbon, Portugal, is used as a pilot study area to discuss the applicability and potential of the proposed indicators.
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Fundação para a Ciência e a Tecnologia
Programa de financiamento
CEEC IND 2017
Número da atribuição
CEECIND/00268/2017/CP1405/CT0001