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Polarisation des ondes de surface : caractérisation, inversion et application à l'étude de l'aléa sismique

机译:表面极化:表面反射,反演和应用,表达反射和反射

摘要

The seismic hazard of a given site can be largely influenced by site effects. In order to estimate these effects, the local soil structure and the wave field properties have to be investigated. This can be done using surface waves (Love and Rayleigh waves) since their properties (dispersion curves, Rayleigh wave ellipticity) are closely linked to the soil structure. The key parameter for the correct wave type identification is the polarization. In a first part of this thesis, three new methods to estimate the polarization parameters of surface waves have been developed. Two methods, DELFI and RayDec, estimate the Rayleigh wave ellipticity using the recordings of a single seismic station. The third method, MUSIQUE, is a further developed version of the MUSIC algorithm, and uses seismic array recordings to discriminate between Love and Rayleigh waves and estimate their respective properties. In the second part of the thesis, a theoretical investigation of the inversion of ellipticity curves shows which parts of an ellipticity curve carry the important information on the soil structure and by which means the inversion can be disambiguated. The developed inversion scheme is then tested on real data measurements obtained at 14 different European sites. Finally, the seismological wave field in the Californian Santa Clara valley is investigated applying MUSIQUE to seismic array recordings for 22 earthquakes. The azimuthal energy repartition between the different wave types is investigated and the respective dispersion curves as well as the Rayleigh wave ellipticity curve are estimated. This study outlines the importance of diffracted surface waves in the recorded wave field. STAR
机译:给定地点的地震危险可能会受到地点影响的很大影响。为了估计这些影响,必须研究当地的土壤结构和波场特性。可以使用表面波(Love和Rayleigh波)来完成此操作,因为它们的属性(色散曲线,Rayleigh波椭圆率)与土壤结构密切相关。正确识别波型的关键参数是极化。在本文的第一部分,开发了三种估计表面波偏振参数的新方法。 DELFI和RayDec这两种方法使用单个地震台站的记录估计瑞利波椭圆率。第三种方法MUSIQUE是MUSIC算法的进一步开发版本,它使用地震阵列记录来区分Love波和Rayleigh波,并估计它们各自的特性。在论文的第二部分中,对椭圆率曲线反演的理论研究表明,椭圆率曲线的哪些部分承载了有关土壤结构的重要信息,并且通过这种方式可以消除歧义。然后,对开发的反演方案在14个不同的欧洲站点进行的真实数据测量中进行测试。最后,将MUSIQUE应用到22地震的地震阵列记录中,研究了加利福尼亚州圣克拉拉河谷的地震波场。研究了不同波类型之间的方位角能量分配,并估计了各自的色散曲线以及瑞利波椭圆率曲线。这项研究概述了在记录的波场中衍射面波的重要性。星

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  • 作者

    Hobiger Manuel;

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  • 年度 2011
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  • 原文格式 PDF
  • 正文语种 en
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