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Ground Motion Simulation Using the Hybrid Empirical Method: Issues and Insights

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Book cover Earthquake Data in Engineering Seismology

Part of the book series: Geotechnical, Geological, and Earthquake Engineering ((GGEE,volume 14))

Abstract

The widespread application of the hybrid empirical method (HEM) has made it a viable approach for developing ground motion prediction equations (GMPEs) in regions where there are few strong motion recordings but ample weak motion data from small-to-moderate magnitude earthquakes. The HEM uses empirical estimates of ground motion in a host region to provide estimates of ground motion in a target region by taking into account differences in source, path, and site effect s between the two regions. Empirical ground motion estimates in the host region are transferred to the target region using adjustment factors that are calculated from regionally constrained seismological models using stochastic simulation. In this paper, I discuss the issues and demonstrate the epistemic uncertainty involved in applying the HEM using an example application to eastern North America (ENA) based on the Campbell-Bozorgnia NGA GMPE for western North America (WNA) and updated seismological models for ENA.

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Acknowledgments

Research supported by the U.S. Geological Survey (USGS), Department of the Interior, under award number 05HQGR0032. The views and conclusions contained in this document are those of the author and should not be interpreted as necessarily representing the official polices, either expressed or implied, of the US Government. I thank Dave Boore and Gail Atkinson for their insightful discussions and their interest and assistance in attempting to understand and resolve the issues discussed in this paper. John Douglas provided helpful comments.

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Campbell, K. (2011). Ground Motion Simulation Using the Hybrid Empirical Method: Issues and Insights. In: Akkar, S., Gülkan, P., van Eck, T. (eds) Earthquake Data in Engineering Seismology. Geotechnical, Geological, and Earthquake Engineering, vol 14. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-0152-6_7

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