Capturing geographically-varying uncertainty in earthquake ground motion models or what we think we know may change

Research output: Chapter in Book/Report/Conference proceedingChapter

  • 1 Citations

Abstract

Our knowledge of earthquake ground motions of engineering significance varies geographically. The prediction of earthquake shaking in parts of the globe with high seismicity and a long history of observations from dense strong-motion networks, such as coastal California, much of Japan and central Italy, should be associated with lower uncertainty than ground-motion models for use in much of the rest of the world, where moderate and large earthquakes occur infrequently and monitoring networks are sparse or only recently installed. This variation in uncertainty, however, is not often captured in the models currently used for seismic hazard assessments, particularly for national or continental-scale studies.

In this theme lecture, firstly I review recent proposals for developing ground-motion logic trees and then I develop and test a new approach for application in Europe. The proposed procedure is based on the backbone approach with scale factors that are derived to account for potential differences between regions. Weights are proposed for each of the logic-tree branches to model large epistemic uncertainty in the absence of local data. When local data are available these weights are updated so that the epistemic uncertainty captured by the logic tree reduces. I argue that this approach is more defensible than a logic tree populated by previously published ground-motion models. It should lead to more stable and robust seismic hazard assessments that capture our doubt over future earthquake shaking.
LanguageEnglish
Title of host publicationRecent Advances in Earthquake Engineering in Europe
Subtitle of host publication16th European Conference on Earthquake Engineering-Thessaloniki 2018
EditorsKyriazis Pitilakis
Place of PublicationCham
Chapter6
Pages153-181
Number of pages29
Volume46
DOIs
StatePublished - 25 Apr 2018
Event16th European Conference on Earthquake Engineering - Thessaloniki, Greece
Duration: 18 Jun 201821 Jun 2018
http://www.16ecee.org/

Publication series

NameGeotechnical, Geological and Earthquake Engineering
PublisherSpringer, Cham
Volume46
ISSN (Print)1573-6059

Conference

Conference16th European Conference on Earthquake Engineering
CountryGreece
CityThessaloniki
Period18/06/1821/06/18
Internet address

Fingerprint

Earthquakes
Hazards
Uncertainty
Monitoring

Keywords

  • 16ECEE
  • theme lecture
  • seismic hazard
  • earthquake
  • engineering seismology
  • GMPE
  • ground motion prediction equations
  • ground-motion model
  • uncertainty
  • epistemic

Cite this

Douglas, J. (2018). Capturing geographically-varying uncertainty in earthquake ground motion models or what we think we know may change. In K. Pitilakis (Ed.), Recent Advances in Earthquake Engineering in Europe: 16th European Conference on Earthquake Engineering-Thessaloniki 2018 (Vol. 46, pp. 153-181). (Geotechnical, Geological and Earthquake Engineering; Vol. 46). Cham. DOI: 10.1007/978-3-319-75741-4_6
Douglas, John. / Capturing geographically-varying uncertainty in earthquake ground motion models or what we think we know may change. Recent Advances in Earthquake Engineering in Europe: 16th European Conference on Earthquake Engineering-Thessaloniki 2018. editor / Kyriazis Pitilakis. Vol. 46 Cham, 2018. pp. 153-181 (Geotechnical, Geological and Earthquake Engineering).
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abstract = "Our knowledge of earthquake ground motions of engineering significance varies geographically. The prediction of earthquake shaking in parts of the globe with high seismicity and a long history of observations from dense strong-motion networks, such as coastal California, much of Japan and central Italy, should be associated with lower uncertainty than ground-motion models for use in much of the rest of the world, where moderate and large earthquakes occur infrequently and monitoring networks are sparse or only recently installed. This variation in uncertainty, however, is not often captured in the models currently used for seismic hazard assessments, particularly for national or continental-scale studies.In this theme lecture, firstly I review recent proposals for developing ground-motion logic trees and then I develop and test a new approach for application in Europe. The proposed procedure is based on the backbone approach with scale factors that are derived to account for potential differences between regions. Weights are proposed for each of the logic-tree branches to model large epistemic uncertainty in the absence of local data. When local data are available these weights are updated so that the epistemic uncertainty captured by the logic tree reduces. I argue that this approach is more defensible than a logic tree populated by previously published ground-motion models. It should lead to more stable and robust seismic hazard assessments that capture our doubt over future earthquake shaking.",
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Douglas, J 2018, Capturing geographically-varying uncertainty in earthquake ground motion models or what we think we know may change. in K Pitilakis (ed.), Recent Advances in Earthquake Engineering in Europe: 16th European Conference on Earthquake Engineering-Thessaloniki 2018. vol. 46, Geotechnical, Geological and Earthquake Engineering, vol. 46, Cham, pp. 153-181, 16th European Conference on Earthquake Engineering, Thessaloniki, Greece, 18/06/18. DOI: 10.1007/978-3-319-75741-4_6

Capturing geographically-varying uncertainty in earthquake ground motion models or what we think we know may change. / Douglas, John.

Recent Advances in Earthquake Engineering in Europe: 16th European Conference on Earthquake Engineering-Thessaloniki 2018. ed. / Kyriazis Pitilakis. Vol. 46 Cham, 2018. p. 153-181 (Geotechnical, Geological and Earthquake Engineering; Vol. 46).

Research output: Chapter in Book/Report/Conference proceedingChapter

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AB - Our knowledge of earthquake ground motions of engineering significance varies geographically. The prediction of earthquake shaking in parts of the globe with high seismicity and a long history of observations from dense strong-motion networks, such as coastal California, much of Japan and central Italy, should be associated with lower uncertainty than ground-motion models for use in much of the rest of the world, where moderate and large earthquakes occur infrequently and monitoring networks are sparse or only recently installed. This variation in uncertainty, however, is not often captured in the models currently used for seismic hazard assessments, particularly for national or continental-scale studies.In this theme lecture, firstly I review recent proposals for developing ground-motion logic trees and then I develop and test a new approach for application in Europe. The proposed procedure is based on the backbone approach with scale factors that are derived to account for potential differences between regions. Weights are proposed for each of the logic-tree branches to model large epistemic uncertainty in the absence of local data. When local data are available these weights are updated so that the epistemic uncertainty captured by the logic tree reduces. I argue that this approach is more defensible than a logic tree populated by previously published ground-motion models. It should lead to more stable and robust seismic hazard assessments that capture our doubt over future earthquake shaking.

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VL - 46

T3 - Geotechnical, Geological and Earthquake Engineering

SP - 153

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BT - Recent Advances in Earthquake Engineering in Europe

CY - Cham

ER -

Douglas J. Capturing geographically-varying uncertainty in earthquake ground motion models or what we think we know may change. In Pitilakis K, editor, Recent Advances in Earthquake Engineering in Europe: 16th European Conference on Earthquake Engineering-Thessaloniki 2018. Vol. 46. Cham. 2018. p. 153-181. (Geotechnical, Geological and Earthquake Engineering). Available from, DOI: 10.1007/978-3-319-75741-4_6