Predicting Site Amplification in New Zealand Using Measured and Inferred Proxies
Description:
The performance of the built environment during earthquakes is strongly influenced by local and regional variations in ground conditions that influence the amplitude and frequency content of ground motions. Developing models to predict these local site amplification effects is a key ingredient for the modelling of seismic hazard and risk. This study investigates the capability of various measured site parameters (e.g., fundamental period - T0, HVSR) and/or inferred site proxies (e.g., slope, rock classification, curvature) to predict local site amplification in New Zealand (NZ). To achieve this, we compiled an extensive database of relevant site parameters at 582 seismic stations, derived from seismic data (ambient noise and earthquake recordings), geological and topographical maps, as well as site parameters included in the NZ-strong-motion database (Wotherspoon et al., 2024). Additionally, the NZ backbone model proposed by Atkinson (2024) was used to compute PSA site-to-site variability within the period range of 0.05 to 10 seconds, utilizing a comprehensive dataset of ground motion parameters from Manea et al. (2024). We then evaluated the robustness of correlations between site parameters and earthquake site-to-site variability to assess their performance both individually and in combination.
The results indicate that of any single metric, the strongest correlation with site-to-site variability is achieved by geological era, closely followed by site classes based on the 2004 NZ seismic design standard (SNZ 2004). Among measured parameters, VS30 shows the best performance at short periods, while T0 is more effective at longer periods. Inferred parameters such as slope, curvature, and relief perform similarly, although they may capture different aspects of site-to-site variability. In conclusion, while different geological and topographical proxies are effective for estimating site amplification at a regional scale, measured site parameters such as the the funamental period, VS30 and HVSR are also needed to capture the variability of site response at the local level.
Session: New Directions in Environmental, Seismic Hazard and Mineral Resource Exploration Studies [Poster]
Type: Poster
Date: 4/17/2025
Presentation Time: 08:00 AM (local time)
Presenting Author: Elena
Student Presenter: No
Invited Presentation:
Poster Number: 110
Authors
Elena Manea Presenting Author Corresponding Author e.manea@gns.cri.nz GNS Science |
Anna Kaiser a.kaiser@gns.cri.nz GNS Science |
Liam Wotherspoon l.wotherspoon@auckland.ac.nz University of Auckland |
Andrew Stolte andrew.stolte@auckland.ac.nz University of Auckland |
Matthew Hill m.hill@gns.cri.nz GNS Science |
Matthew Gerstenberger m.gerstenberger@gns.cri.nz GNS Science |
|
|
|
Predicting Site Amplification in New Zealand Using Measured and Inferred Proxies
Category
New Directions in Environmental, Seismic Hazard and Mineral Resource Exploration Studies