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Probabilistic seismic hazard assessment for South-Eastern France
Authors:Christophe Martin  Gabriele Ameri  David Baumont  David Carbon  Gloria Senfaute  Jean-Michel Thiry  Ezio Faccioli  Jean Savy
Institution:1.Geoter SAS - Fugro,Auriol,France;2.EDF-CEIDRE-TEGG,Aix-en-Provance,France;3.AREVA,Lyon,France;4.Studio Geotecnico Italiano,Milan,Italy;5.Savy Risk Consulting,Oakland,USA;6.Apave Sudeurope SAS,Paris,France
Abstract:The accurate evaluation and appropriate treatment of uncertainties is of primary importance in modern probabilistic seismic hazard assessment (PSHA). One of the objectives of the SIGMA project was to establish a framework to improve knowledge and data on two target regions characterized by low-to-moderate seismic activity. In this paper, for South-Eastern France, we present the final PSHA performed within the SIGMA project. A new earthquake catalogue for France covering instrumental and historical periods was used for the calculation of the magnitude-frequency distributions. The hazard model incorporates area sources, smoothed seismicity and a 3D faults model. A set of recently developed ground motion prediction equations (GMPEs) from global and regional data, evaluated as adequately representing the ground motion characteristics in the region, was used to calculate the hazard. The magnitude-frequency distributions, maximum magnitude, faults slip rate and style-of-faulting are considered as additional source of epistemic uncertainties. The hazard results for generic rock condition (Vs30 = 800 m/s) are displayed for 20 sites in terms of uniform hazard spectra at two return periods (475 years and 10,000 years). The contributions of the epistemic uncertainties in the ground motion characterizations and in the seismic source characterization to the total hazard uncertainties are analyzed. Finally, we compare the results with existing models developed at national scale in the framework of the first generation of models supporting the Eurocode 8 enforcement, (MEDD 2002 and AFPS06) and at the European scale (within the SHARE project), highlighting significant discrepancies at short return periods.
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