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Surface wave tomography on a large-scale seismic array combining ambient noise and teleseismic earthquake data

机译:结合环境噪声和远震数据的大规模地震阵列上的表面波层析成像

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摘要

We discuss two array-based tomography methods, ambient noise tomography (ANT) and two-planewave earthquake tomography (TPWT), which are capable of taking advantage of emerging large-scale broadband seismic arrays to generate high resolution phase velocity maps, but in complementary period band: ANT at 8–40 s and TPWT at 25–100 s period. Combining these two methods generates surface wave dispersion maps from 8 to 100 s periods, which can be used to construct a 3D v S model from the surface to ∼200 km depth. As an illustration, we apply the two methods to the USArray/Transportable Array. We process seismic noise data from over 1 500 stations obtained from 2005 through 2009 to produce Rayleigh wave phase velocity maps from 8 to 40 s period, and also perform TPWT using ∼450 teleseismic earthquakes to obtain phase velocity maps between 25 and 100 s period. Combining dispersion maps from ANT and TPWT, we construct a 3D v S model from the surface to a depth of 160 km in the western and central USA. These surface wave tomography methods can also be applied to other rapidly growing seismic networks such as those in China.
机译:我们讨论了两种基于阵列的层析成像方法,即环境噪声层析成像(ANT)和两平面波地震层析成像(TPWT),它们能够利用新兴的大规模宽带地震阵列生成高分辨率相速度图,但这些方法是相辅相成的周期带:ANT在8–40 s,TPWT在25–100 s。结合这两种方法,可以生成8到100 s周期的表面波频散图,可用于构建从表面到约200 km深度的3D v S 模型。作为说明,我们将这两种方法应用于USArray / Transportable Array。我们处理了从2005年到2009年获得的1500多个站点的地震噪声数据,以生成8到40 s周期的瑞利波相速度图,并使用约450次地震来进行TPWT,以获得25到100 s周期的相速度图。结合ANT和TPWT的色散图,我们在美国西部和中部从地表到深度160 km构造了一个3D v S 模型。这些表面波层析成像方法也可以应用于其他快速发展的地震网络,例如中国的网络。

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