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Natural Hazards

, Volume 97, Issue 2, pp 775–791 | Cite as

Comparative study of three probabilistic methods for seismic hazard analysis: case studies of Sochi and Kamchatka

  • V. A. PavlenkoEmail author
  • A. Kijko
Original Paper
  • 60 Downloads

Abstract

This study examines the effect of the procedures used in three different probabilistic seismic hazard analysis (PSHA) methods for estimating the rates of exceedance of ground motion. To evaluate the effect of these procedures, the Cornell–McGuire and Parametric-Historic methods, and the method based on Monte Carlo simulations are employed, and the seismic source model, based on spatially smoothed seismicity, is used in the calculations. Two regions in Russia were selected for comparison, and seismic hazard maps were prepared for return periods of 475 and 2475 years. The results indicate that the choice of a particular method for conducting PSHA has relatively little effect on the hazard estimates. The Cornell–McGuire method yielded the highest estimates, with the two other methods producing slightly lower estimates. The variation among the results based on the three methods appeared to be virtually independent of the return period. The variation in the results for the Sochi region was within 6%, and that for the Kamchatka region was within 10%. Accordingly, the considered PSHA methods would provide closely related results for areas of moderate seismic activity; however, the difference among the results would apparently increase with an increase in seismic activity.

Keywords

Probabilistic seismic hazard analysis The Cornell–McGuire method The Parametric-Historic method Monte Carlo simulations 

Notes

Acknowledgements

We are grateful to Dr. Nina Medvedeva from the Schmidt Institute of Physics of the Earth of the Russian Academy of Sciences for provided earthquake catalogue, and to the USGS for their data (available at http://earthquake.usgs.gov). We are grateful to two anonymous reviewers for their valuable comments and suggestions.

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© Springer Nature B.V. 2019

Authors and Affiliations

  1. 1.University of Pretoria Natural Hazard CentrePretoriaSouth Africa
  2. 2.The Schmidt Institute of Physics of the Earth of the Russian Academy of SciencesMoscowRussia

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