Probabilistic earthquake risk assessment using CAPRA: application to the city of Barcelona, Spain

The risk evaluation model CAPRA (Comprehensive Approach to Probabilistic Risk Assessment) is a techno-scientific methodology and information platform, composed of tools for evaluating and communicating risk at various territorial levels. The model allows evaluating losses on exposed elements using p...

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Bibliographic Details
Published in:Natural hazards (Dordrecht) 2013-10, Vol.69 (1), p.59-84
Main Authors: Marulanda, Mabel C., Carreño, Martha L., Cardona, Omar D., Ordaz, Mario G., Barbat, Alex H.
Format: Article
Language:English
Subjects:
Cities
Civil Engineering
Earth and Environmental Science
Earth Sciences
Earth, ocean, space
Earthquakes
Engineering and environment geology. Geothermics
Environmental Management
Environmental policy
Exact sciences and technology
Geophysics/Geodesy
Geotechnical Engineering & Applied Earth Sciences
Hydrogeology
Natural Hazards
Natural hazards: prediction, damages, etc
Original Paper
Probability
Risk
Risk assessment
Risk management
Socioeconomic status
Spain
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Summary:The risk evaluation model CAPRA (Comprehensive Approach to Probabilistic Risk Assessment) is a techno-scientific methodology and information platform, composed of tools for evaluating and communicating risk at various territorial levels. The model allows evaluating losses on exposed elements using probabilistic metrics, such as the loss exceedance curve, the expected annual loss and the probable maximum loss, useful for multi-hazard risk analyses. In this article, the process of probabilistic seismic risk analysis is described, explaining the main features of the CAPRA modules of hazard, vulnerability and risk estimation applied to the city of Barcelona, Spain. In addition, according to the physical risk results and the information on the socioeconomic indicators of the city, this article presents the holistic evaluation of seismic risk, which is a valuable result to facilitate the integrated risk management by the different stakeholders involved in risk reduction decision making.
ISSN:0921-030X
1573-0840
DOI:10.1007/s11069-013-0685-z