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Journal Article

Calculation of National Seismic Hazard Models with Large Logic Trees: Application to the NZ NSHM 2022

Authors

DiCaprio,  Christopher J.
External Organizations;

Chamberlain,  Chris B.
External Organizations;

Bora,  Sanjay S.
External Organizations;

Bradley,  Brendon A.
External Organizations;

Gerstenberger,  Matthew C.
External Organizations;

Hulsey,  Anne M.
External Organizations;

/persons/resource/pciturri

Iturrieta,  Pablo Cristián
2.6 Seismic Hazard and Risk Dynamics, 2.0 Geophysics, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Pagani,  Marco
External Organizations;

Simionato,  Michele
External Organizations;

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Citation

DiCaprio, C. J., Chamberlain, C. B., Bora, S. S., Bradley, B. A., Gerstenberger, M. C., Hulsey, A. M., Iturrieta, P. C., Pagani, M., Simionato, M. (2024): Calculation of National Seismic Hazard Models with Large Logic Trees: Application to the NZ NSHM 2022. - Seismological Research Letters, 95, 1, 125-134.
https://doi.org/10.1785/0220230226


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5025351
Abstract
National-scale seismic hazard models with large logic trees can be difficult to calculate using traditional seismic hazard software. To calculate the complete 2022 revision of the New Zealand National Seismic Hazard Model—Te Tauira Matapae Pūmate Rū i Aotearoa, including epistemic uncertainty, we have developed a method in which the calculation is broken into two separate stages. This method takes advantage of logic tree structures that comprise multiple, independent logic trees from which complete realizations are formed by combination. In the first stage, we precalculate the independent realizations of the logic trees. In the second stage, we assemble the full ensemble of logic tree realizations by combining components from the first stage. Once all realizations of the full logic tree have been calculated, we can compute aggregate statistics for the model. This method benefits both from the reduction in the amount of computation necessary and its parallelism. In addition to facilitating the computation of a large seismic hazard model, the method described can also be used for sensitivity testing of model components and to speed up experimentation with logic tree structure and weights.