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Orientador(es)
Resumo(s)
This article describes the applications of a hydro-geomorphologic disaster database allowing
a more appropriate local risk management.
Two databases of loss and damage with different criteria, using Central Portugal occur-
rences, were constructed upon national and regional newspapers: one included all the
disaster occurrences regardless of the level of loss and damage reported and the other only
the major disasters for which casualties and other human losses were reported.
Risk matrices, exploring likelihood and consequence, were analysed along with data regard-
ing urban and demographic dynamics over time and risk profiles by municipality were obtained.
The results show that the database which only included major disasters produced a risk
matrix with lower levels of risk in comparison to the one produced from the more inclusive
database.
The most densely urbanised municipalities represent a greater number of disaster
occurrences, but when considering only major losses, other peripheral municipalities
emerge as high risk. Changes in territorial forcers are shaping the impact patterns in the
region. Along with an increase in the housing density, an increase in disasters is observed,
although the decrease of inhabitants.
Impacts and territorial forcers cluster analysis and risk matrices’ results conduced to
municipal risk profiles supporting management. Those profiles conduce to different frames
of action from specific emergency planning, warning and alert, multi-hazard planning, or
prevention measures involving land use planning or insurance and mutualisation solutions.
Disaster databases that allow differentiating local patterns of impacts–and their respective
contexts - contribute to define locally adequate risk management policies.
Descrição
Palavras-chave
Databases Hydro-geomorphologic disasters Risk matrix Territorial forcers Risk management
Contexto Educativo
Citação
Santos, Pedro Pinto, Tavares, Alexandre Oliveira & Zêzere, José. (2014). Risk analysis for local management from hydro-geomorphologic disaster databases. Environmental Science & Policy, 40, 85-100. https://doi.org/10.1016/j.envsci.2013.12.007. ISSN: 1462-9011
Editora
Elsevier
