接收函数及其粒子群反演的分层地壳各向异性

IF 1.6 4区 地球科学 Q3 GEOCHEMISTRY & GEOPHYSICS 地球物理学报 Pub Date : 2017-01-01 DOI:10.1002/CJG2.30027
Qi Shao-hua, L. Qi-yuan, Chen Jiu-hui, Guo Biao
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引用次数: 2

摘要

多深度地壳各向异性是研究地壳形变纵向变化的必要条件。由于地壳的复杂性,利用远震接收函数(RF)绘制不同深度的地壳各向异性是一个有待进一步研究的课题。本文在前人工作的基础上,利用广义反射和透射系数法进一步讨论了分层地壳各向异性的射频波场图,为我们理解分层地壳各向异性模型的射频数据提供了新的理论依据。此外,我们还开发了一种基于粒子群算法的分层各向异性模型提取的全局反演方法。数值和实际数据的测试结果表明,只要确定各向同性速度模型,该方法可以正确地从射频数据中恢复出与深度相关的各向异性参数,并区分出地壳的不同各向异性层。曲线变换数据处理中的噪声抑制有助于分析地壳各向异性。
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STRATIFIED CRUSTAL ANISOTROPY FROM RECEIVER FUNCTION AND ITS PARTICLE SWARM INVERSION
Crustal anisotropy at multiple depths is essential for studying the vertical variation of crustal deformation. Due to the complexity of the crust, mapping the crustal anisotropy at different depth from teleseismic receiver function (RF) is an ongoing subject that requires further studies. Based on the previous works, this paper goes further to discuss the RF wavefield pattern of stratified crustal anisotropy by means of the generalized reflection and transmission coefficients method, which provides us a new theoretical basis for understanding the RF data with stratified anisotropic crustal models. In addition, we develop a global inversion method for extracting stratified anisotropic models based on the particle swarm algorithm. The test results from both numerical and real data show that, our method can correctly recover the depth-dependent anisotropic parameters from the RF data and distinguish different anisotropic layers of the crust, as long as isotropic velocity model is well determined. Noise suppression in data processing via curvelet transform is useful for the analysis of crustal anisotropy.
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来源期刊
地球物理学报
地球物理学报 地学-地球化学与地球物理
CiteScore
3.40
自引率
28.60%
发文量
9449
审稿时长
7.5 months
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