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  • 标题:Synthetic Ground-Motion Simulation Using a Spatial Stochastic Model with Slip Self-Similarity: Toward Near-Source Ground-Motion Validation
  • 本地全文:下载
  • 作者:Ya-Ting Lee ; Kuo-Fong Ma ; Ming-Che Hsieh
  • 期刊名称:Terrestrial Atmospheric and Oceanic Sciences
  • 印刷版ISSN:1017-0839
  • 出版年度:2016
  • 卷号:27
  • 期号:3
  • 页码:397-404
  • DOI:10.3319/TAO.2015.11.27.01(TEM)
  • 出版社:Chinese Geoscience Union
  • 摘要: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.
  • 关键词:Scenario source model; Slip scaling; Asperity; Ground motion prediction; Near fault motion;
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