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Estimation of strong ground motion in Southern Peninsular India by empirical Green's function method

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dc.contributor.author Sivaram, K. en_US
dc.contributor.author Gade, Maheshreddy en_US
dc.contributor.author Raghukanth, S. T. G. en_US
dc.contributor.author SAIKIA, UTPAL en_US
dc.contributor.author Kanna, Nagaraju en_US
dc.date.accessioned 2020-12-16T11:00:54Z
dc.date.available 2020-12-16T11:00:54Z
dc.date.issued 2017-06 en_US
dc.identifier.citation Current Science, 112(11), 2273-2283. en_US
dc.identifier.issn 0011-3891 en_US
dc.identifier.uri http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/5430
dc.identifier.uri https://doi.org/10.18520/cs/v112/i11/2273-2283 en_US
dc.description.abstract In 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.iso en en_US
dc.publisher Indian Academy of Sciences en_US
dc.subject Empirical Green's Function en_US
dc.subject Ground Motion en_US
dc.subject Peak Ground Acceleration en_US
dc.subject Response Spectra en_US
dc.subject Stochastic Finite Fault Model en_US
dc.subject 2017 en_US
dc.title Estimation of strong ground motion in Southern Peninsular India by empirical Green's function method en_US
dc.type Article en_US
dc.contributor.department Dept. of Earth and Climate Science en_US
dc.identifier.sourcetitle Current Science en_US
dc.publication.originofpublisher Indian en_US


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