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NGA-West2 Equations for Predicting PGA, PGV, and 5% Damped PSA for Shallow Crustal Earthquakes

机译:NGA-West2方程用于预测浅地壳地震的PGA,PGV和5%阻尼PSA

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摘要

We provide ground motion prediction equations for computing medians and standard deviations of average horizontal component intensity measures (IMs) for shallow crustal earthquakes in active tectonic regions. The equations were derived from a global database with M 3.0-7.9 events. We derived equations for the primary M- and distance-dependence of the IMs after fixing the V_(S30)-based nonlinear site term from a parallel NGA-West2 study. We then evaluated additional effects using mixed effects residuals analysis, which revealed no trends with source depth over the M range of interest, indistinct Class 1 and 2 event IMs, and basin depth effects that increase and decrease long-period IMs for depths larger and smaller, respectively, than means from regional V_(S30)-depth relations. Our aleatory variability model captures decreasing between-event variability with M, as well as within-event variability that increases or decreases with M depending on period, increases with distance, and decreases for soft sites.
机译:我们提供地面运动预测方程式,用于计算活动构造区域中浅层地壳地震的平均水平分量强度测度(IM)的中值和标准偏差。这些方程式是从具有M 3.0-7.9事件的全局数据库中得出的。我们从平行NGA-West2研究中固定了基于V_(S30)的非线性站点项后,得出了IM的主要M-和距离相关性的方程式。然后,我们使用混合效应残差分析评估了其他效应,该分析没有发现感兴趣的M范围内源深度的趋势,1级和2级事件IM的模糊性以及盆地深度效应会随着深度的增大和减小而增加或减小长期IMs。分别来自区域V_(S30)-深度关系的均值。我们的偶然变异性模型捕获事件间变异性随M的降低,以及事件内变异性随周期M随M的增加或减少,随距离的增加而对软站点的减少。

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  • 来源
    《Earthquake spectra》 |2014年第3期|1057-1085|共29页
  • 作者单位

    U.S. Geological Survey, MS 977, 345 Middlefield Rd., Menlo Park, CA 94025;

    University of California, Los Angeles, CA, USA;

    Risk Management Solutions, Newark, CA (formerly UCLA Civil & Environmental Engineering Department);

    Western University, London, Ontario, Canada;

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