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

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Title:	Synthetic ground-motion simulation using a spatial stochastic model with slip self-similarity: Toward near-source ground-motion validation
Authors:	馬國鳳;Lee, Ya-Ting;Ma, Kuo-Fong;Hsieh, Ming-Che;Yen, Yin-Tung;Sun, Yu-Sheng
Contributors:	地球科學學院地球科學學系
Keywords:	Asperity;Computer simulation;Earthquake prediction;Earthquakes;Fault lines;Geological hazards;Ground motion;Ground-motion prediction;Mathematical models;Motion simulation;Near-fault motion;Scaling;Scenario source model;Seismic activity;Seismic hazard;Self-similarity;Simulation;Slip;Slip scaling;Stochastic models;Three dimensional motion;Typhoons;Waveforms
Date:	2016-06-01
Issue Date:	2026-04-23 11:47:28 (UTC+8)
Publisher:	Chinese Geoscience Union;Taiwan: Springer Nature B.V
Abstract:	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. 出版者： Taiwan: Springer Nature B.V 出版日期： 2016-06-01 出處： TAO : Terrestrial, atmospheric, and oceanic sciences, 2016-06, Vol.27 (3), p.397-405 資源來源： Agricultural & Environmental Science Collection 版權： 2016. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 識別號： ISSN: 1017-0839 識別號： ISSN: 2223-8964 識別號： ISSN: 2311-7680 識別號： EISSN: 2311-7680 識別號： EISSN: 1017-0839 識別號： DOI: 10.3319/TAO.2015.11.27.01(TEM)
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