Comparison and selection of ground motion prediction equations for the Sichuan–Yunnan area, southwest China

Jingwei Liu, John Douglas

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Abstract

The Sichuan–Yunnan area is one of the most seismically active regions in China. As ground-motion models form a key component of seismic hazard analysis, it is important to select (or develop) appropriate models for this area. The increasing number of digital ground-motion records of earthquakes in this area has allowed the development of local ground motion prediction equations (GMPEs). This study compares and, later, recommends appropriate GMPEs for the Sichuan–Yunnan area. We first evaluate the inherent quality of local GMPEs, with respect to their underlying datasets, the variables used and their functional forms, to determine a set of candidate GMPEs. Then we investigate how well the predictions from the GMPEs match observations computed from strong-motion records of recent earthquakes in this area. The fit between predictions and observations varies significantly amongst the GMPEs. The results suggest that some recent local GMPEs would lead to biased ground-motion estimates due to limitations of their underlying datasets and functional forms. Based on both evaluations of inherent quality and compatibility with observations, only one local GMPE is recommended. A comparison of the predictions from three widely-used non-local GMPEs indicates that ground motions in the Sichuan–Yunnan area appear more variable than those in other regions but that predictions from these non-local GMPEs are generally unbiased. We recommend use of a mixture of robust local and non-local GMPEs within seismic hazard analyses to capture the epistemic uncertainty in ground-motion prediction for this area.
Original languageEnglish
Pages (from-to)2303-2328
Number of pages26
JournalBulletin of Earthquake Engineering
Volume22
Issue number5
Early online date1 Feb 2024
DOIs
Publication statusPublished - 31 Mar 2024

Funding

This work was undertaken during Jingwei Liu’s visit at the Department of Civil and Environmental Engineering, University of Strathclyde, which was funded by the China Scholarship Council (No. 202004190043).

Keywords

  • ground-motion models (GMMs)
  • predictions and observations
  • ground-motion records
  • residual analysis
  • epistemic uncertainty
  • seismic hazard assessment

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