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Ground motion estimation during the Kashmir earthquake of 8th October 2005

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  • S. Raghukanth

Abstract

In this article, analytical methods have been used to estimate ground motion during the 8 October 2005, Kashmir earthquake. Peak ground acceleration (PGA) values at several stations in the epicentral region have been estimated by empirical analytical source mechanism models. As an alternate analysis, PGA estimates have also been obtained using the stochastic finite fault seismological model. The estimated PGAs are compared with that obtained from damage values. A PGA contour map in the near-source region is provided. It is found that very near to the epicenter, PGA would have reached more than 1 g. It is demonstrated that empirical analytical models can be effectively used to estimate ground motion due to rupture of active faults. Copyright Springer Science+Business Media B.V. 2008

Suggested Citation

  • S. Raghukanth, 2008. "Ground motion estimation during the Kashmir earthquake of 8th October 2005," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 46(1), pages 1-13, July.
    • Handle: RePEc:spr:nathaz:v:46:y:2008:i:1:p:1-13
    DOI: 10.1007/s11069-007-9178-2
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    Cited by:

    1. Atta-ur Rahman & Amir Khan & Andrew Collins, 2014. "Analysis of landslide causes and associated damages in the Kashmir Himalayas of Pakistan," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 71(1), pages 803-821, March.
    2. Rajaram Chenna & Pradeep Kumar Ramancharla, 2016. "Simulation of near-field ground motion characteristics of May 01, 2013, Doda earthquake using modified semi-empirical approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 82(2), pages 1411-1430, June.

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