Skip to main content

Abstract

A sparse data set consisting of 33 local strong-motion recordings from earthquakes with magnitudes between 4.0 and 7.1 and distances between 8 and 190 km is used to develop an initial non-ergodic ground-motion model for the Georgia Republic for spectral acceleration at T = 0.2 s. The non-ergodic adjustments capture the local differences in the linear site effects and linear path effects. The non-ergodic GMMs have reduced aleatory variability along with shifts (increases or decreases) to the median ground motion for a given site/source pair. For sites in central Georgia, there is some local data to constrain the shift in the median ground motion from the base ergodic GMM. For sites far from the available local ground-motion data, such as the Enguri dam site, there is larger epistemic uncertainty in the shifts to median. In this case, the reduced aleatory variability will be offset by the larger epistemic uncertainty. Although there is large uncertainty, the advantage of using the non-ergodic approach in regions with sparse local ground-motion data is that the large epistemic uncertainty range is properly quantified and it shows the potential change to the hazard that can be expected as local ground-motion data are collected.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Anderson JG, Brune JN (1999) Probabilistic seismic hazard analysis without the ergodic assumption. Seismol Res Lett 70(1):19–28

    Article  Google Scholar 

  • Bommer JJ, Abrahamson NA (2006) Why do modern probabilistic seismic-hazard analyses often lead to increased hazard estimates? Bull Seismol Soc Am 96(6):1967–1977

    Article  Google Scholar 

  • Rodriguez-Marek A (2013) A model for single-station standard deviation using data from various tectonic regions. Bull Seismol Soc Am 103:3149–3163

    Article  Google Scholar 

  • Abrahamson NA, Silva WJ, Kamai R (2014) Summary of the ASK14 ground motion relation for active crustal regions. Earthquake Spectra 30(3):1025–1055

    Article  Google Scholar 

  • Boore DM, Stewart JP, Seyhan E, Atkinson GM (2014) NGA-West2 equations for predicting PGA, PGV, and 5% damped PSA for shallow crustal earthquakes. Earthquake Spectra 30(3):1057–1085

    Article  Google Scholar 

  • Campbell KW, Bozorgnia Y (2014) NGA-West2 ground motion model for the average horizontal components of PGA, PGV, and 5% damped linear acceleration response spectra. Earthquake Spectra 30(3):1087–1115

    Article  Google Scholar 

  • Chiou BSJ, Youngs RR (2014) Update of the chiou and youngs NGA model for the average horizontal component of peak ground motion and response spectra. Earthquake Spectra 30(3):1117–1153

    Article  Google Scholar 

  • Kotha SR, Bindi S, Cotton F (2016) Partially non-ergodic region specific GMPE for Europe and Middle-East. Bull Earthq Eng 14(4):1245–1263

    Article  Google Scholar 

  • Anderson JG, Uchiyama Y (2011) A methodology to improve ground-motion prediction equations by including path corrections. Bull Seismol Soc Am 101(4):1822–1846

    Article  Google Scholar 

  • Dawood H, Rodriguez-Marek A (2013) A method for including path effects in ground-motion prediction equations: an example using the Mw 9.0 Tohoku earthquake aftershocks. Bull Seismol Soc Am 103(2B):1360–1372

    Article  Google Scholar 

  • Kuehn NM, Abrahamson NA, Walling MA (2019) Incorporating nonergodic path effects into the NGA-West2 ground-motion prediction equations. Bull Seismol Soc Am 109(2):575–585

    Article  Google Scholar 

  • Landwehr N, Kuehn NM, Scheffer T, Abrahamson NA (2016) A nonergodic ground-motion model for California with spatially varying coefficients. Bull Seismol Soc Am 106(6):2574–2583

    Article  Google Scholar 

  • Kuehn NM, Abrahamson NA (2020) Spatial correlations of ground motion for non-ergodic seismic hazard analysis. Earthq Eng Struct Dyn 49(1):4–23

    Article  Google Scholar 

  • Abrahamson NA, Kuehn NM, Walling MA, Landwehr N (2019) Probabilistic seismic hazard analysis in california using nonergodic ground motion models. Bull Seismol Soc Am 109(4):1235–1249

    Article  Google Scholar 

  • Rasmussen CE, Williams CKI (2006) Gaussian processes for machine learning. MIT Press, Cambridge

    Google Scholar 

  • Abrahamson NA, Youngs RR (1992) A stable algorithm for regression analysis using the random effects model. Bull Seismol Soc Am 82(1):505–510

    Google Scholar 

  • Al-Atik L, Youngs RR (2014) Epistemic uncertainty for NGA-West2 models. Earthquake Spectra 30(3):1301–1318

    Article  Google Scholar 

Download references

Acknowledgements

The ground motion data from the Georgia Republic were provided by Nino Tsereteli. The non-ergodic attenuation plots for California were generated by Katie Wooddell. This work benefited from discussions with the members of the PEER/UCLA/SCEC Non-Ergodic Working Group.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Norman Abrahamson .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature B.V.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Abrahamson, N., Kuehn, N. (2021). Non-ergodic Ground-Motion Models for Crustal Earthquakes in Georgia. In: Bonali, F.L., Pasquaré Mariotto, F., Tsereteli, N. (eds) Building Knowledge for Geohazard Assessment and Management in the Caucasus and other Orogenic Regions. NATO Science for Peace and Security Series C: Environmental Security. Springer, Dordrecht. https://doi.org/10.1007/978-94-024-2046-3_9

Download citation

Publish with us

Policies and ethics