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dc.contributor.authorSong, S. G.
dc.contributor.authorDalguer, L. A.
dc.contributor.authorMai, Paul Martin
dc.date.accessioned2015-05-21T07:04:00Z
dc.date.available2015-05-21T07:04:00Z
dc.date.issued2013-12-24
dc.identifier.citationPseudo-dynamic source modelling with 1-point and 2-point statistics of earthquake source parameters 2013, 196 (3):1770 Geophysical Journal International
dc.identifier.issn0956-540X
dc.identifier.issn1365-246X
dc.identifier.doi10.1093/gji/ggt479
dc.identifier.urihttp://hdl.handle.net/10754/554384
dc.description.abstractGround motion prediction is an essential element in seismic hazard and risk analysis. Empirical ground motion prediction approaches have been widely used in the community, but efficient simulation-based ground motion prediction methods are needed to complement empirical approaches, especially in the regions with limited data constraints. Recently, dynamic rupture modelling has been successfully adopted in physics-based source and ground motion modelling, but it is still computationally demanding and many input parameters are not well constrained by observational data. Pseudo-dynamic source modelling keeps the form of kinematic modelling with its computational efficiency, but also tries to emulate the physics of source process. In this paper, we develop a statistical framework that governs the finite-fault rupture process with 1-point and 2-point statistics of source parameters in order to quantify the variability of finite source models for future scenario events. We test this method by extracting 1-point and 2-point statistics from dynamically derived source models and simulating a number of rupture scenarios, given target 1-point and 2-point statistics. We propose a new rupture model generator for stochastic source modelling with the covariance matrix constructed from target 2-point statistics, that is, auto- and cross-correlations. Our sensitivity analysis of near-source ground motions to 1-point and 2-point statistics of source parameters provides insights into relations between statistical rupture properties and ground motions. We observe that larger standard deviation and stronger correlation produce stronger peak ground motions in general. The proposed new source modelling approach will contribute to understanding the effect of earthquake source on near-source ground motion characteristics in a more quantitative and systematic way.
dc.publisherOxford University Press (OUP)
dc.relation.urlhttp://gji.oxfordjournals.org/cgi/doi/10.1093/gji/ggt479
dc.rightsArchived with thanks to Geophysical Journal International © The Authors 2013. Published by Oxford University Press on behalf of The Royal Astronomical Society.
dc.subjectEarthquake dynamics
dc.subjectEarthquake ground motions
dc.subjectComputational seismology
dc.subjectStatistical seismology
dc.titlePseudo-dynamic source modelling with 1-point and 2-point statistics of earthquake source parameters
dc.typeArticle
dc.contributor.departmentEarth Science and Engineering Program
dc.identifier.journalGeophysical Journal International
dc.eprint.versionPublisher's Version/PDF
dc.contributor.institutionSwiss Seismological Service (SED), ETH Zurich, Zurich, Switzerland
kaust.personMai, Paul Martin
refterms.dateFOA2018-06-13T10:15:34Z


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