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Regional and Site-Specific Ground Motion Model for Probabilistic Seismic Hazard Analysis in Taiwan: A Case Study of I-Lan.

Authors :
Phung, Van-Bang
Chang, Yu-Wen
Loh, Chin-Hsiung
Huang, Bor-Shouh
Ha, Vinh-Long
Nguyen, Cong-Nghia
Pham, Dinh-Hai
Source :
Journal of Earthquake & Tsunami. Aug2024, Vol. 18 Issue 4, p1-27. 27p.
Publication Year :
2024

Abstract

In this study, a probabilistic seismic hazard analysis (PSHA) using a traditional approach with a simple logic tree that handles a single-site sigma is developed to present a site-specific ground motion hazard. The analysis relies on the accelerometer data collected from the I-Lan Plain, a deep sedimentary basin in Northeastern Taiwan where hundreds of earthquake sequences (with M w = 4.0–7.6) were recorded by the Taiwan Strong Motion Instrument Program (TSMIP) network between 1992 and 2016. The performance of PSHA on soil and hard sites is evaluated from two representative instrumented sites (ILA048 and ILA025), using residual measures available from a ground motion model (GMM) developed by Phung et al. [2023] (referred to as Ph23), from which the uncertainties in site terms ( δ S 2 S s) and single-site sigma ( σ S S , S) are estimated. We address key conceptual issues in the current PSHA approach and introduce a new region- and site-specific PSHA approach in which (1) site-to-site variability ( ϕ S 2 S) is estimated as a random variance in a mixed effects GMM regression and (2) the GMM site-specific single-site sigma ( σ S S , S) is replaced with a generic site-corrected aleatory variability ( σ 0 ). Comparison of the region- and site-specific hazard curves from our method against the traditional method estimates at two well-recorded sites in the I-Lan region shows an approximate 50% difference in prediction ground motion values considering for 2% and 10% probability of exceedance in 50 years. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17934311
Volume :
18
Issue :
4
Database :
Academic Search Index
Journal :
Journal of Earthquake & Tsunami
Publication Type :
Academic Journal
Accession number :
179177332
Full Text :
https://doi.org/10.1142/S179343112450009X