%0 Journal Article
%@ 1363-2469
%A Douglas, John
%A Bungum, Hilmar
%A Scherbaum, Frank
%A Dept. Civil & Environmental Engineering Imperial College London, SW7 2AZ, UK,
%A NORSAR/ICG, POB 53 N-2027 Kjeller, Norway,
%A Inst. Geowissenschaften, Universit¨at Potsdam P.O. Box 601553, D-14415, Potsdam, Germany,
%D 2006
%F epos:1391
%I Taylor & Francis: STM, Behavioural Science and Public Health Titles
%J Journal of Earthquake Engineering
%K Ground-motion estimation; stochastic method; attenuation relations; seismic  hazard assessment; Spain; Norway
%N 1
%P 33-72
%T Ground-motion prediction equations for southern Spain and southern Norway obtained using the composite model perspective
%U https://episodesplatform.eu/eprints/1391/
%V 10
%X In this paper, two sets of earthquake ground-motion relations to estimate peak ground and response spectral acceleration are developed for sites in southern Spain and in southern Norway using a recently published composite approach. For this purpose seven empirical ground-motion relations developed from recorded strong-motion data from different parts of the world were employed. The different relations were first adjusted based on a number of transformations to convert the differing choices of independent parameters to a single one. After these transformations, which include the scatter introduced, were performed, the equations were modified to account for differences between the host and the target regions using the stochastic method to compute the host-to-target conversion factors. Finally functions were fitted to the derived ground-motion estimates to obtain sets of seven individual equations for use in probabilistic seismic hazard assessment for southern Spain and southern Norway. The relations are compared with local ones published for the two regions. The composite methodology calls for the setting up of independent logic trees for the median values and for the sigma values, in order to properly separate epistemic and aleatory uncertainties after the corrections and the conversions.