地质学
地震动
地震学
强地震动
俯冲
大地测量学
反应谱
运动(物理)
强度(物理)
地震灾害
峰值地面加速度
构造学
计算机科学
物理
量子力学
人工智能
作者
Shu‐Hsien Chao,Brian Chiou,Chiao-Chu Hsu,Lin Pan
标识
DOI:10.1177/8755293019891711
摘要
In this study, a new horizontal ground-motion model is developed for crustal and subduction earthquakes in Taiwan. A novel two-step maximum-likelihood method is used as a regression tool to develop this model. This method simultaneously considers both the correlation between records and the biased sampling because of random truncation. Moreover, additional ground-motion data can be considered to derive more reliable analysis results. The functional form of the proposed ground-motion model is constructed using the response spectrum of the reference ground-motion scenario and different scalings of the source, path, and site to illustrate the ground-motion characteristics. The variabilities in the ground-motion intensity that result from different events, stations, and records are developed individually to derive a single-station sigma. The proposed ground-motion model may be useful for predicting ground-motion intensity and performing site-specific probabilistic seismic hazard analysis in Taiwan.
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