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首页> 外文期刊>Bulletin of earthquake engineering >A regionally-adaptable ground-motion model for shallow crustal earthquakes in Europe
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A regionally-adaptable ground-motion model for shallow crustal earthquakes in Europe

机译：欧洲浅地壳地震的区域可适应地面运动模型

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摘要

To complement the new European Strong-Motion dataset and the ongoing efforts to update the seismic hazard and risk assessment of Europe and Mediterranean regions, we propose a new regionally adaptable ground-motion model (GMM). We present here the GMM capable of predicting the 5% damped RotD50 of PGA, PGV, and SA(T=0.01-8s {T = 0.01 - 8,{ext{s}}} ight) $$end{document} from shallow crustal earthquakes of 3 <= MW <= 7.4 occurring 0{ - 1} $$end{document} or 0.001 <= slope <= 1mm-1 0.001 le slope le 1,{ext{m}},{ext{m}}<^>{ - 1} $$end{document}. The extended applicability derived from thousands of new recordings, however, comes with an apparent increase in the aleatory variability (sigma). Firstly, anticipating contaminations and peculiarities in the dataset, we employed robust mixed-effect regressions to down weigh only, and not eliminate entirely, the influence of outliers on the GMM median and sigma. Secondly, we regionalised the attenuating path and localised the earthquake sources using the most recent models, to quantify region-specific anelastic attenuation and locality-specific earthquake characteristics as random-effects, respectively. Thirdly, using the mixed-effect variance-covariance structure, the GMM can be adapted to new regions, localities, and sites with specific datasets. Consequently, the sigma is curtailed to a 7% increase at T < 0.3 s, and a substantial 15% decrease at T >= 0.3 s, compared to the RESORCE based partially non-ergodic GMM. We provide the 46 attenuating region-, 56 earthquake localities-, and 1829 site-specific adjustments, demonstrate their usage, and present their robustness through a 10-fold cross-validation exercise.
机译：为了补充新的欧洲强势议案数据集和更新欧洲和地中海地区地震危害和风险评估的持续努力，我们提出了一个新的区域适应性地面运动模型（GMM）。我们在此提供的GMM能够预测PGA，PGV和SA的5％阻尼ROTD50（T = 0.01-8S {T = 0.01-8 ，{ text {s}} 右）$$ END {文档}从3 <= mw <= 7.4的浅地地震发生0 {-1} $$ end {document}或0.001 <=斜率<= 1mm-1 0.001 Le Slope Le 1 ，{ text {m }} ，{ text {m}} <^> { - 1} $$ end {document}。然而，延长了来自数千名新录音的适用性随着杀菌性变异性（Sigma）的表观增加。首先，预测数据集中的污染和特殊性，我们仅使用强大的混合效应回归失效，而不是完全消除，异常值对GMM中位数和西格玛的影响。其次，我们区域化了衰减路径并利用最近的模型局限地局面，分别将区域特异性的振动衰减和地区特异性地震特性量化为随机效应。第三，使用混合效果方差 - 协方差结构，GMM可以适应新的区域，地方和具有特定数据集的网站。因此，与基于部分非ergodic GMM的共聚物相比，Sigma在T <0.3S的增加至7％增加到7％，在T> = 0.3s下降15％。我们提供46个衰减区域，56个地震，和1829个特定的现场调整，展示其使用，并通过10倍的交叉验证练习呈现鲁棒性。

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