The Seismicity Rate Model for the 2022 Aotearoa New Zealand National Seismic Hazard Model

Author:

Gerstenberger Matthew C.1ORCID,Van Dissen Russ1ORCID,Rollins Chris1ORCID,DiCaprio Chris1ORCID,Thingbaijim Kiran K. S.1ORCID,Bora Sanjay1ORCID,Chamberlain Chris1ORCID,Christophersen Annemarie1ORCID,Coffey Genevieve L.1ORCID,Ellis Susan M.1ORCID,Iturrieta Pablo2ORCID,Johnson Kaj M.3ORCID,Litchfield Nicola J.1ORCID,Nicol Andy4ORCID,Milner Kevin R.5ORCID,Rastin Sepi J.1ORCID,Rhoades David1ORCID,Seebeck Hannu1ORCID,Shaw Bruce E.6ORCID,Stirling Mark W.7ORCID,Wallace Laura18,Allen Trevor I.9ORCID,Bradley Brendon A.10ORCID,Charlton Danielle1ORCID,Clark Kate J.1ORCID,Fraser Jeff11,Griffin Jonathan9ORCID,Hamling Ian J.1ORCID,Howell Andy110,Hudson-Doyle Emma12ORCID,Hulsey Anne13ORCID,Jurgens V. Oakley1ORCID,Kaiser Anna E.1ORCID,Kirkman Rachel1,Langridge Rob M.1,Maurer Jeremy14ORCID,Rattenbury Mark S.1ORCID,Ristau John1ORCID,Schorlemmer Danijel2ORCID,Townend John15ORCID,Villamor Pilar1ORCID,Williams Charles1ORCID

Affiliation:

1. 1GNS Science Te Pu Ao, Lower Hutt, New Zealand

2. 2GFZ German Research Center for Geoscience, Potsdam, Germany

3. 3Indiana University, Bloomington, Indiana

4. 4University of Canterbury, Chrischurch, New Zealand

5. 5University of Southern California, Los Angeles, California, U.S.A.

6. 6Lamont-Doherty Earth Observatory, Columbia University, Palisades, New York, U.S.A.

7. 7University of Otago, Dunedin, New Zealand

8. 8University of Texas, Austin, Texas, U.S.A

9. 9Geoscience Australia, Canberra, Australia

10. 10University of Canterbury, Canterbury, New Zealand

11. 11WSP, Christchurch, New Zealand

12. 12Massey University, Wellington, New Zealand

13. 13University of Auckland, Auckland, New Zealand

14. 14Missouri University of Science and Technology, Rolla, Missouri, U.S.A.

15. 15Victoria University of Wellington, Wellington, New Zealand

Abstract

ABSTRACT A seismicity rate model (SRM) has been developed as part of the 2022 Aotearoa New Zealand National Seismic Hazard Model revision. The SRM consists of many component models, each of which falls into one of two classes: (1) inversion fault model (IFM); or (2) distributed seismicity model (DSM). Here we provide an overview of the SRM and a brief description of each of the component models. The upper plate IFM forecasts the occurrence rate for hundreds of thousands of potential ruptures derived from the New Zealand Community Fault Model version 1.0 and utilizing either geologic- or geodetic-based fault-slip rates. These ruptures are typically less than a couple of hundred kilometers long, but can exceed 1500 km and extend along most of the length of the country (albeit with very low probabilities of exceedance [PoE]). We have also applied the IFM method to the two subduction zones of New Zealand and forecast earthquake magnitudes of up to ∼Mw 9.4, again with very low PoE. The DSM combines a hybrid model developed using multiple datasets with a non-Poisson uniform rate zone model for lower seismicity regions of New Zealand. Forecasts for 100 yr are derived that account for overdispersion of the rate variability when compared with Poisson. Finally, the epistemic uncertainty has been modeled via the range of models and parameters implemented in an SRM logic tree. Results are presented, which indicate the sensitivity of hazard results to the logic tree branches and that were used to reduce the overall complexity of the logic tree.

Publisher

Seismological Society of America (SSA)

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