首页> 外文期刊>Journal of geophysical research. Solid earth: JGR >Joint inversion of receiver functions and surface waves with enhanced preconditioning on densely distributed CNDSN stations: Crustal and upper mantle structure beneath China
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Joint inversion of receiver functions and surface waves with enhanced preconditioning on densely distributed CNDSN stations: Crustal and upper mantle structure beneath China

机译:密集分布的CNDSN台站的接收器功能和表面波联合反演增强预处理:中国下方的地壳和上地幔结构

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We present shear wave velocity structure beneath China by joint modeling of teleseismic receiver function and Rayleigh wave group velocity dispersion data observed at +1000 permanent broadband seismic stations in the Chinese National Digital Seismic Network (CNDSN). A ray-parameter-based stacking method is employed to minimize artifacts in stacking receiver functions from different sources. The Rayleigh wave dispersion curve is extracted from group velocity tomographic models at all applicable periods. Enhanced preconditions are applied on the linearized iterative inversion to regularize and balance multiple types of data. The velocity profile inversion at each station starts from an initial model derived from sediments, crustal thickness, V-p/V-s ratio and P-n/S-n models. This multistep approach not only reduces uncertainty and nonuniqueness of the velocity inversion but also efficiently fills information gap in each data set. We then generate a 3-D S velocity model by combining and smoothing all the 1-D models. The obtained 3-D model reveals crustal and upper mantle velocity structures that are well correlated with tectonic features of China, for example, our model shows a clear east-west bimodal distribution at 35km deep, low velocity in the crust beneath central and eastern Tibetan plateau, and sedimentary structure in major cratons and basins. Our model is consistent with existing tomographic models in large scale but provides more structural details in regional and local scales.
机译:通过在中国国家数字地震台网(CNDSN)的+1000个永久宽带地震台站上观测到的远震接收函数和瑞利波群速度弥散数据的联合模型,给出了中国下方的横波速度结构。采用基于射线参数的堆叠方法以最小化堆叠来自不同源的接收器功能时的伪影。瑞利波频散曲线是在所有适用时期从群速度层析成像模型中提取的。增强的前提条件应用于线性化迭代反演,以规范化和平衡多种类型的数据。每个测站的速度剖面反演均始于从沉积物,地壳厚度,V-p / V-s比和P-n / S-n模型得出的初始模型。这种多步骤方法不仅减少了速度反演的不确定性和非唯一性,而且有效地填补了每个数据集中的信息空白。然后,我们通过组合和平滑所有1-D模型来生成3-D S速度模型。所获得的3-D模型揭示了与中国构造特征密切相关的地壳和上地幔速度结构,例如,我们的模型显示了深35 km深的东西向双峰分布清晰,藏中和东部下方地壳的低速高原和主要克拉通和盆地的沉积构造。我们的模型与现有的大型层析成像模型是一致的,但是在区域和本地尺度上提供了更多的结构细节。

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