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许多地震工程应用工作中,场地响应由直到30m深度的时间平均剪切波速(V_(S30))的经验关系式估计。因此这些工作要么依赖于特定场地的V_(S30)测量数据,要么依赖于全球、区域或局部尺度的V_(S30)图。由于V_(S30)测量数据稀少,所以我们通常需要代用值来估计未采样区域的V_(S30)值。我们给出了一幅计及像地质、地形与特定场地V_(S30)测量数据多源不同空间尺度观测约束的新加利福尼亚州V_(S30)图。我们使用回归克里格(RK)地学统计方法结合这些约束预测V_(S30)。对V_(S30)趋势,我们以基于地质的V_(S30)值开始,识别了两种清晰的介于地形梯度和地质V_(S30)模型残差的趋势。一种趋势适用于深、细砂第四纪冲积层,而第二种趋势略强,适用于更新世沉积单元。回归克里格框架确保形成的加利福尼亚州图在局部上精细地反映了整个加利福尼亚州快速扩展的V_(S30)数据库。我们比较了这种新制图方法与以前绘制的加利福尼亚州V_(S30)图的精度。通过比较使用我们的新图和现有图V_(S30)值的真实场景地震动区划图,我们也说明了地震动对新V_(S30)图的敏感性。
In many seismic engineering applications, the site response is estimated from the empirical relationship of time-averaged shear wave velocity (V_ (S30)) up to a depth of 30 m. Therefore, these tasks depend on V_ (S30) measurements of a particular site or on global, regional or local scale V_ (S30) maps. Since V_ (S30) measurement data is scarce, we usually need to substitute the value to estimate the V_ (S30) value of the unsampled region. We present a new California V_ (S30) plot that takes into account different spatial scales of observed constraints such as geology, topography and site-specific V_ (S30) measurements. We use regression kriging (RK) geostatistical methods to predict V_ with these constraints (S30). For the trend of V_ (S30), we begin with the geo-based V_ (S30) values and identify two clear trends of the terrain gradient and the residuals of the geological V_ (S30) model. A trend applies to deep and fine sand Quaternary alluvium, while the second trend is slightly stronger, suitable for Pleistocene sedimentary units. The Regression Krieger Framework Ensures that the California Statechart that is formed locally provides a fine-grained reflection of the rapidly expanding V_ (S30) database across California. We compared the accuracy of this new mapping method with that of the California V_ (S30) plot previously drawn. We also show the sensitivity of the ground motion to the new V_ (S30) map by comparing the zonal maps of real-world ground motion using our new and existing V_ (S30) values.