Region Specific Ground-Motion Predictive Models for Shallow Active Regions

Using a global dataset, we propose a series of ground-motion predictive models for acceleration response spectra. The proposed models include regional adjustments to source, path, and site terms with nonlinear soil behavior. The regression coefficients are computed using linear and nonlinear mixed-effect regression algorithms. Furthermore, we develop heteroscedastic variability models for between-event, site-to-site, and single-site standard deviations. The between-event sigma model depends solely on magnitude, but the single-site standard deviation model depends on both magnitude and distance. Finally, the site-to-site standard deviation model is given in terms of V_S30 and spectral acceleration at rock site condition.本研究依托全球数据集，构建了一系列面向加速度反应谱（acceleration response spectra）的地震动预测模型。所提出的模型纳入了针对震源、传播路径及场地项的区域校正，可反映非线性土体动力特性。研究采用线性与非线性混合效应回归算法计算回归系数。此外，本研究还建立了事件间、场地间及单场地标准差对应的异方差变异性模型：其中事件间标准差模型仅与震级相关，单场地标准差模型同时依赖震级与距离参数；场地间标准差模型则基于30m深度平均剪切波速（V_S30）与基岩场地条件下的谱加速度给出。