Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/20.500.11762/19880
Título : Update on the probabilistic modelling of natural risks at global level: Global risk model
Otros títulos: Global earthquake and Tropical Cyclone Hazard Assessment. Disaster Risk Assessment at Country level for earthquakes, tropical cyclones (wind and storm surge), floods, tsunami and volcanic eruptions.
Autor: International Centre for Numerical Methods in Engineering
INGENIAR Ltda
Publicado por: -
Fecha de publicación : 2015
Editorial : International Strategy for Disaster Risk Reduction - UNISDR
Resumen: This background paper presents the probabilistic seismic hazard assessment methodology and results for the Global Risk Assessment of the UNISDR s Global Assessment Report on Disaster Risk Reduction 2015 (GAR15). An update on some of the inputs used for the assessment of GAR13 (CIMNE et al., 2012, Ordaz et al. 2014a) was performed in order to incorporate them in the subsequent probabilistic seismic risk analysis for this new version. This section of this background paper presents the changes, improvements and updates considered in this analysis. As will be explained in more detail in the following sections, the changes consist mainly on the update of the earthquake catalogue and the ground motion prediction equations (GMPE).
Volumen: Único
Cooperación: -
Idioma: en
Tipo de documento: Informe técnico
Departamento: Ginebra
URI : http://hdl.handle.net/20.500.11762/19880
Palabras clave : Global risk model
earthquake
volcanic eruptions
hazard
probabilistic risk assessment
floods
tropical cyclones
tsunami
Citación : International Centre for Numerical Methods in Engineering, INGENIAR Ltda. (2015). Update on the probabilistic modelling of natural risks at global level: Global risk model Global earthquake and Tropical Cyclone Hazard Assessment. Disaster Risk Assessment at Country level for earthquakes, tropical cyclones (wind and storm surge), floods, tsunami and volcanic eruptions. . Ginebra. International Strategy for Disaster Risk Reduction - UNISDR
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UpdateProbabilisticModellingGlobalRisk(CIMNE_2014).pdf96,86 MBAdobe PDFVisualizar/Abrir
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