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Hybrid Empirical Ground-Motion Models for the Island of Hawaii Based on an Updated Strong Ground Motion Database

Description: 

Due to different anelastic attenuation characteristics, the volcanic origin of some events, and the distribution of event depths, ground motion modeling on the island of Hawaii is challenging. The island of Hawaii has experienced several significant earthquakes, contributing to a growing database of strong ground motion observations. The development of Ground Motion Models (GMMs) for the island of Hawaii has been limited to only a few. In this study, we have proposed two separate GMMs using the Hybrid Empirical Method (HEM), one for shallow earthquakes (hypocentral depth ≤ 20 km) and one for deep earthquakes (hypocentral depth > 20 km) on the Island of Hawaii. Considering Western North America (WNA) and the island of Hawaii as the host and target regions, we utilized the stochastic point source model ratio in the host and target regions as adjustment factors. The adjustment factors have been applied to transform the GMMs from the host region to the target region. The models have been developed by the Ground Motion Intensity Measures (GMIMs) resulting from the HEM and nonlinear least-squares regression. We further calibrate the models using the observed database to adjust any bias between the GMIM estimates from the HEM and the Hawaii observations. The GMMs have been developed to predict PGA and 5%-damped PSA at periods T = 0.01–10 s for moment magnitudes (M) in the range of 3 to 7.5 and for Joyner-Boore distances in the R_jb ≤ 200 km range.

Session: The 2023 USGS National Seismic Hazard Model and Beyond [Poster Session]

Type: Poster

Date: 5/1/2024

Presentation Time: 08:00 AM (local time)

Presenting Author: Mehran

Student Presenter: No

Invited Presentation: 

Authors