Please use this identifier to cite or link to this item: http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/5430
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dc.contributor.authorSivaram, K.en_US
dc.contributor.authorGade, Maheshreddyen_US
dc.contributor.authorRaghukanth, S. T. G.en_US
dc.contributor.authorSAIKIA, UTPALen_US
dc.contributor.authorKanna, Nagarajuen_US
dc.date.accessioned2020-12-16T11:00:54Z
dc.date.available2020-12-16T11:00:54Z
dc.date.issued2017-06en_US
dc.identifier.citationCurrent Science, 112(11), 2273-2283.en_US
dc.identifier.issn0011-3891en_US
dc.identifier.urihttp://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/5430
dc.identifier.urihttps://doi.org/10.18520/cs/v112/i11/2273-2283en_US
dc.description.abstractIn the present study, strong motions are estimated at 17 stations in Southern Peninsular India (SPI) for the 7 February 1900 Coimbatore earthquake (M-w 6) using the empirical Green's function (EGF) method. The broadband recordings of three small earthquakes of M-L 3.5, 2.9 and 3.0 respectively, are taken as EGFs to simulate ground motion. The slip distribution of the main event is considered as a von Karman random field. The stress drops of the three small events estimated from finite fault stochastic seismological model lie between 130 and 140 bars. The peak ground acceleration (PGA) values, an ensemble of acceleration time histories and response spectra, are estimated at all the 17 stations using corresponding EGFs, and the mean response spectra are reported. Another estimate of PGA is also obtained using the stochastic seismological model. The estimated PGA values from the two methods are compared to check the consistency of the results. It is observed that the mean PGA values are within the bounds of the maximum and minimum PGA values obtained from the EGF method, while the differences at some stations can be attributed to the local site conditions.en_US
dc.language.isoenen_US
dc.publisherIndian Academy of Sciencesen_US
dc.subjectEmpirical Green's Functionen_US
dc.subjectGround Motionen_US
dc.subjectPeak Ground Accelerationen_US
dc.subjectResponse Spectraen_US
dc.subjectStochastic Finite Fault Modelen_US
dc.subject2017en_US
dc.titleEstimation of strong ground motion in Southern Peninsular India by empirical Green's function methoden_US
dc.typeArticleen_US
dc.contributor.departmentDept. of Earth and Climate Scienceen_US
dc.identifier.sourcetitleCurrent Scienceen_US
dc.publication.originofpublisherIndianen_US
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