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On different techniques for the calculation of Bouguer gravity anomalies for joint inversion and model fusion of geophysical data in the Rio Grande Rift.

机译:关于在里奥格兰德大裂谷进行联合反演和地球物理数据模型融合的布格重力异常计算的不同技术。

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摘要

Density variations in the Earth result from different material properties, which reflect the tectonic processes attributed to a region. Density variations can be identified through measurable material properties, such as seismic velocities, gravity field, magnetic field, etc. Gravity anomaly inversions are particularly sensitive to density variations but suffer from significant non-uniqueness. However, using inverse models with gravity Bouguer anomalies and other geophysical data, we can determine three dimensional structural and geological properties of the given area. We explore different techniques for the calculation of Bouguer gravity anomalies for their use in joint inversion of multiple geophysical data sets and a model fusion scheme to integrate complementary geophysical models. Various 2- and 3- dimensional gravity profile forward modeling programs have been developed as variations of existing algorithms in the last decades. The purpose of this study is to determine the most effective gravity forward modeling method that can be used to combine the information provided by complementary datasets, such as gravity and seismic information, to improve the accuracy and resolution of Earth models obtained for the underlying structure of the Rio Grande Rift. In an effort to determine the most appropriate method to use in a joint inversion algorithm and a model fusion approach currently in development, we test each approach by using a model of the Rio Grande Rift obtained from seismic surface wave dispersion and receiver functions. We find that there are different uncertainties associated with each methodology that affect the accuracy achieved by including gravity profile forward modeling. Moreover, there exists an important amount of assumptions about the regions under study that must be taken into account in order to obtain an accurate model of the gravitational acceleration caused by changes in the density of the material in the substructure of the Earth.
机译:地球上的密度变化是由不同的材料特性引起的,这些特性反映了归因于某个地区的构造过程。密度变化可以通过可测量的材料特性(例如地震速度,重力场,磁场等)来识别。重力异常反演对密度变化特别敏感,但存在明显的非唯一性。但是,使用具有重力布格异常和其他地球物理数据的逆模型,我们可以确定给定区域的三维结构和地质特性。我们探索了用于计算布格重力异常的不同技术,这些技术可用于多个地球物理数据集的联合反演以及用于融合互补地球物理模型的模型融合方案。在过去的几十年中,已经开发了各种二维和三维重力剖面正演建模程序,作为现有算法的变体。这项研究的目的是确定最有效的重力前向建模方法,该方法可用于合并互补数据集提供的信息,例如重力和地震信息,以提高从地下基础结构获得的地球模型的准确性和分辨率。大峡谷裂谷。为了确定最适合在联合反演算法中使用的方法和当前正在开发的模型融合方法,我们通过使用从地震面波频散和接收器函数获得的里奥格兰德大裂谷模型来测试每种方法。我们发现,每种方法都有不同的不确定性,这些不确定性会影响通过包括重力剖面正演建模而实现的精度。此外,为了获得由地球下部结构中的材料密度变化引起的重力加速度的精确模型,必须考虑要研究的区域的大量假设。

著录项

  • 作者

    Zamora, Azucena.;

  • 作者单位

    The University of Texas at El Paso.;

  • 授予单位 The University of Texas at El Paso.;
  • 学科 Applied Mathematics.;Geophysics.
  • 学位 M.S.
  • 年度 2013
  • 页码 84 p.
  • 总页数 84
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 语言学;
  • 关键词

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