Synthetic ground-motion simulation using a spatial stochastic model with slip self-similarity: Toward near-source ground-motion validation

Ya Ting Lee, Kuo Fong Ma, Ming Che Hsieh, Yin Tung Yen, Yu Sheng Sun

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Near-fault ground motion is a key to understanding the seismic hazard along a fault and is challenged by the ground motion prediction equation approach. This paper presents a developed stochastic-slip-scaling source model, a spatial stochastic model with slipped area scaling toward the ground motion simulation. We considered the near-fault ground motion of the 1999 Chi-Chi earthquake in Taiwan, the most massive near-fault disastrous earthquake, proposed by Ma et al. (2001) as a reference for validation. Three scenario source models including the developed stochastic-slip-scaling source model, mean-slip model and characteristic-asperity model were used for the near-fault ground motion examination. We simulated synthetic ground motion through 3D waveforms and validated these simulations using observed data and the ground-motion prediction equation (GMPE) for Taiwan earthquakes. The mean slip and characteristic asperity scenario source models over-predicted the near-fault ground motion. The stochastic-slip-scaling model proposed in this paper is more accurately approximated to the near-fault motion compared with the GMPE and observations. This is the first study to incorporate slipped-area scaling in a stochastic slip model. The proposed model can generate scenario earthquakes for predicting ground motion.

Original languageEnglish
Pages (from-to)397-405
Number of pages9
JournalTerrestrial, Atmospheric and Oceanic Sciences
Volume27
Issue number3
DOIs
StatePublished - Jun 2016

Keywords

  • Asperity
  • Ground-motion prediction
  • Near-fault motion
  • Scenario source model
  • Slip scaling

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