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Construction of a Ground‐Motion Logic Tree through Host‐to‐Target Region Adjustments Applied to an Adaptable Ground‐Motion Prediction Model: An Addendum
Bulletin of the Seismological Society of America ( IF 3 ) Pub Date : 2024-04-01 , DOI: 10.1785/0120230143
David M. Boore 1
Affiliation  

Boore et al. (2022; hereafter, Bea22) described adjustments to a host‐region ground‐motion prediction model (GMPM) for use in hazard calculations in a target region, using Chiou and Youngs (2014; hereafter, CY14) as the host‐region model. This article contains two modifications to the Bea22 procedures for the host‐to‐target adjustments, one for the source and one for the anelastic attenuation function. The first modification is to compute logic‐tree branches for the source adjustment variable ΔcM given in Bea22 assuming that the host‐ and target‐region stress parameters are uncorrelated, instead of the implicit assumption in Bea22 that they are perfectly correlated. The assumption of uncorrelated stress parameters makes little difference for the example in Bea22 because the standard deviation of the host‐region stress parameter is much less than that of the target‐region stress parameter. However, this might not be the case in some future applications. The second modification is to the host‐to‐target anelastic attenuation path adjustment. The adjustment in Bea22 involves a distance‐independent change in the γ variable that controls the rate of anelastic attenuation in the CY14 GMPM. This article proposes a method to account for a distance dependence in the adjustment. Such a dependence is needed for short‐period ground‐motion intensity measures (GMIMs) at distances greater than 100 km, with the importance increasing with distance. For the example in Bea22, the ratio of GMIMs computed with the revised and the previous adjustment to γ is less than about a factor of 1.05 at distances within about 100 km, but it can exceed a factor of 2 at 300 km for short‐period GMIMs.

中文翻译:

通过应用于适应性地面运动预测模型的主机到目标区域调整构建地面运动逻辑树:附录

布尔等人。 (2022;Bea22)描述了对宿主区域地面运动预测模型(GMPM)的调整,用于目标区域的危险计算,使用 Chiou 和 Youngs(2014;此后,CY14)作为宿主区域模型。本文包含对 Bea22 程序进行主机到目标调整的两项修改,一项针对源,另一项针对迟弹性衰减函数。第一个修改是计算 Bea22 中给出的源调整变量 ΔcM 的逻辑树分支,假设宿主区域和目标区域应力参数不相关,而不是 Bea22 中隐含的假设它们完全相关。对于 Bea22 中的示例,不相关应力参数的假设几乎没有什么区别,因为宿主区域应力参数的标准差远小于目标区域应力参数的标准差。然而,在未来的某些应用中可能并非如此。第二个修改是主机到目标的滞弹性衰减路径调整。 Bea22 中的调整涉及 γ 变量的与距离无关的变化,该变量控制 CY14 GMPM 中的迟弹性衰减率。本文提出了一种解决调整中距离依赖性的方法。距离大于 100 公里的短周期地面震动强度测量 (GMIM) 需要这种依赖性,并且重要性随着距离的增加而增加。对于 Bea22 中的示例,在约 100 公里内的距离处,使用修订后的 GMIM 和之前对 γ 的调整计算出的 GMIM 之比小于约 1.05 倍,但在 300 公里处短期内可能超过 2 倍GMIM。
更新日期:2024-03-28
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