4.7 Article

Amplification and Attenuation Across USArray Using Ambient Noise Wavefront Tracking

期刊

JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
卷 122, 期 12, 页码 10086-10101

出版社

AMER GEOPHYSICAL UNION
DOI: 10.1002/2017JB014804

关键词

surface waves; ambient noise; amplification; attenuation; wavefront; propagation

资金

  1. NSF [CyberSEES-1442665]
  2. King Abdullah University of Science and Technology (KAUST) [OCRF-2014-CRG3-2300]
  3. [EAR-1453263]
  4. [EAR-1252191]

向作者/读者索取更多资源

As seismic traveltime tomography continues to be refined using data from the vast USArray data set, it is advantageous to also exploit the amplitude information carried by seismic waves. We use ambient noise cross correlation to make observations of surface wave amplification and attenuation at shorter periods (8-32s) than can be observed with only traditional teleseismic earthquake sources. We show that the wavefront tracking approach can be successfully applied to ambient noise correlations, yielding results quite similar to those from earthquake observations at periods of overlap. This consistency indicates that the wavefront tracking approach is viable for use with ambient noise correlations, despite concerns of the inhomogeneous and unknown distribution of noise sources. The resulting amplification and attenuation maps correlate well with known tectonic and crustal structure; at the shortest periods, our amplification and attenuation maps correlate well with surface geology and known sedimentary basins, while our longest period amplitudes are controlled by crustal thickness and begin to probe upper mantle materials. These amplification and attenuation observations are sensitive to crustal materials in different ways than traveltime observations and may be used to better constrain temperature or density variations. We also value them as an independent means of describing the lateral variability of observed Rayleigh wave amplitudes without the need for 3-D tomographic inversions.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据