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Integration and validation of deterministic earthquake simulations in probabilistic seismic hazard analysis.

机译:确定性地震模拟在概率地震灾害分析中的集成和验证。

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摘要

Seismic hazard models based on empirical ground motion prediction equations (GMPEs) employ a model-based factorization to account for source, propagation, and path effects. An alternative is to physically simulate these effects using earthquake source models combined with three-dimensional (3D) models of Earth structure. We generalized the implementation of those hazard models in probabilistic seismic hazard analysis from the seismological perspectives, and developed an averaging-based factorization (ABF) scheme to facilitate the geographically explicit comparison of these two types of seismic hazard models. Through a sequence of averaging and normalization operations over various model components, such as slip distribution, magnitudes, hypocenter locations, we uniquely factorize model residuals into several factors. These residual factors characterize differences in basin effects, distance attenuation, and effects of source directivity and slip variability. We illustrate the ABF scheme by comparing CyberShake model for the Los Angeles region with the Next Generation Attenuation (NGA) GMPEs. Relative to CyberShake, all NGA models underestimate the basin effects. Using the GMEPs with directivity corrections, we quantify the extent to which the empirical directivity model capture the source directivity effects demonstrated by physics-based ground motion prediction model. In particular, empirical directivity corrections for NGA models underestimate source directivity effects in CyberShake, and do not account for the coupling between source directivity and basin excitation that substantially enhance the low-frequency seismic hazards in the sedimentary basins of the Los Angeles region. We then investigate seismologically to what extent the complex rupture processes and conditional hypocenter distributions affect the ground motion predictions and seismic hazard assessment. At last, considering two 3D velocity models for Southern California used in simulations, we use different CyberShake studies to physically understand the basin excitations and directivity-basin coupling effects. To our knowledge, this is the first systematical and quantitative integration and validation of deterministic earthquake simulations in probabilistic seismic hazard analysis.
机译:基于经验地面运动预测方程(GMPE)的地震灾害模型采用基于模型的因式分解来说明源,传播和路径的影响。一种替代方法是使用地震源模型与地球结构的三维(3D)模型相结合来物理模拟这些影响。我们从地震学的角度对概率地震危险性分析中这些危险性模型的实现进行了概括,并开发了基于平均的因式分解(ABF)方案,以促进这两种类型的地震危险性模型在地理上的明确比较。通过对各种模型组件(如滑动分布,量值,震源位置)进行一系列平均和归一化操作,我们将模型残差唯一分解为几个因子。这些残余因素表征了盆地效应,距离衰减以及震源指向性和滑动变化性的影响的差异。我们通过将洛杉矶地区的Cyber​​Shake模型与下一代衰减(NGA)GMPE进行比较来说明ABF方案。相对于Cyber​​Shake,所有NGA模型都低估了盆地效应。使用具有方向性校正的GMEP,我们可以量化经验方向性模型捕获基于物理的地面运动预测模型所展示的源方向性影响的程度。尤其是,NGA模型的经验方向性校正会低估Cyber​​Shake中的源性方向性影响,而不能说明源性方向性和盆地激发之间的耦合,而耦合会大大增强洛杉矶地区沉积盆地中的低频地震危险。然后,我们在地震学上调查复杂的破裂过程和有条件的震源分布在多大程度上影响地面运动预测和地震危险性评估。最后,考虑模拟中使用的两个南加州3D速度模型,我们使用不同的Cyber​​Shake研究来物理地了解盆地激发和定向性-盆地耦合​​效应。据我们所知,这是概率性地震灾害分析中确定性地震模拟的首次系统和定量整合和验证。

著录项

  • 作者

    Wang, Feng.;

  • 作者单位

    University of Southern California.;

  • 授予单位 University of Southern California.;
  • 学科 Geophysics.;Engineering Civil.
  • 学位 Ph.D.
  • 年度 2013
  • 页码 207 p.
  • 总页数 207
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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