The impact of consequence models on deterministic physical seismic risk assessment for the Central canton of San José, Costa Rica is presented. As part of this study, information was collected from eight international seismic risk estimation initiatives focused on estimating economic losses, five on estimating victims and two on debris.
The OpenQuake program of the Global Earthquake Model (GEM) Foundation is used to perform the seismic risk calculations. In the case of estimating victims, vulnerability curves are generated from fragility and consequence functions for a total of 17 construction typologies. The calculations focus on the Central canton of San José, giving continuity to a series of investigations focused on that region that have allowed the determination of an exposure model which is a basic input for seismic risk estimates. Regarding the threat, a deterministic scenario is considered with an event generated by the Cipreses fault with a magnitude of 6.0 Mw and a depth of 15 km.
It is found that for the case study considered, the consequence models focused on economic losses have a high impact on these estimates, with differences of up to 150millionofUSDforadifferenceof1SeutilizaelprogramaOpenQuakedelaFundacioˊnGlobalEarthquakeModel(GEM)pararealizarloscaˊlculosderiesgosıˊsmico.Enelcasodelaestimacioˊndevıˊctimas,segenerancurvasdevulnerabilidadapartirdefuncionesdefragilidadymodelosdeconsecuenciasparauntotalde17tipologıˊasconstructivas.LoscaˊlculosseenfocanenelcantoˊnCentraldeSanJoseˊ,dandocontinuidadaunaseriedeinvestigacionesenfocadasendicharegioˊnquehanpermitidodeterminarunmodelodeexposicioˊnelcualesuninsumobaˊsicoparalasestimacionesderiesgosıˊsmico.Conrespectoalaamenaza,seconsideraunescenariodeterministaconuneventogeneradoporlafalladeCipresesconunamagnitudde6.0Mwyunaprofundidadde15Km.Seencuentraqueparaelcasodeestudioconsideradolosmodelosdeconsecuenciasenfocadosenpeˊrdidaseconoˊmicastienenunaltoimpactoendichasestimaciones,condiferenciasdehasta144 millones de dólares americanos para una diferencia de 1% en los factores de pérdidas. En caso de las víctimas, se encuentran resultados con alta variabilidad también, sin embargo, en dicho caso se tienen estimaciones mediante modelos de consecuencias empíricos y semi-empíricos, por lo que se atribuye a ello dicha variabilidad
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