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dc.contributor.authorAkinci, Aybige-
dc.contributor.authorD'Amico, Sebastiano-
dc.contributor.authorMalagnini, Luca-
dc.date.accessioned2022-05-30T09:52:20Z-
dc.date.available2022-05-30T09:52:20Z-
dc.date.issued2010-12-
dc.identifier.citationAkinci, A., D'Amico, S., & Malagnini, L. (2010). Ground motion assessment based on weak motion data in Taiwan. AGU Fall Meeting 2010, San Francisco (pp. S51B-1946).en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar/handle/123456789/96685-
dc.description.abstractIn this study, we characterize the scaling of the ground motions for frequencies ranging between 0.25 and 5 Hz, obtaining results for seismic attenuation, geometrical spreading, and source parameters in Taiwan. We regressed this large number of weak-motion data in order to characterize the regional propagation and the absolute source scaling. Stochastic simulations are generated for finite-fault ruptures using the obtained parameters to predict the absolute peaks of the ground acceleration and velocity for several magnitude and distance range, as well as beyond the magnitude range of the weak-motion data set on which they are calculated. The predictions are then compared with recorded strong motion data and empirical ground motion prediction equation obtained for the study region. We showed that our regional parameters, obtained from independent weak-motion database, may be applied for evaluation of ground motion parameters for earthquakes of magnitude up to 7.6.en_GB
dc.language.isoenen_GB
dc.publisherAmerican Geophysical Unionen_GB
dc.rightsinfo:eu-repo/semantics/openAccessen_GB
dc.subjectStochastic systemsen_GB
dc.subjectEarthquake magnitude -- Measurementen_GB
dc.subjectSeismology -- Taiwanen_GB
dc.titleGround motion assessment based on weak motion data in Taiwanen_GB
dc.typeconferenceObjecten_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.en_GB
dc.bibliographicCitation.conferencenameAGU Fall Meeting 2010en_GB
dc.bibliographicCitation.conferenceplaceSan Francisco, California, 13-17/12/2010en_GB
dc.description.reviewedpeer-revieweden_GB
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