Frequency-Bessel multi-mode surface wave tomography utilizing microseisms excited by energetic typhoons

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外文摘要：The recently developed Frequency-Bessel(F-J)transform array technique has significantly advanced multi-mode surface wave tomography,providing precise constraints on shear wave velocity(Vs)models of the crust and uppermost mantle.This technique has primarily focused on extracting inter-station surface waves from ambient noise cross-correlation.Energetic typhoons generate abundant surface wave signals,prompting growing interest in utilizing these signals to investigate subsurface structures.This study explores the feasibility and application of using microseisms excited by strong typhoons for F-J transform surface wave tomography.By analyzing microseisms recorded by a broadband seismic array in Mongolia during energetic typhoons,we observed multi-mode surface waves with high signal-to-noise ratios.Our analysis revealed that the sources of these waves closely correspond to typhoon tracks,confirming that they were primarily excited by typhoons.We successfully extracted multi-mode dispersion curves for imaging the Vs structure beneath the array using the F-J transform.Additionally,we derived multi-mode dispersion curves from a two-year noise dataset recorded by the same array,which were also used to invert for the Vs structure.Comparison of Vs models derived from typhoon-induced microseisms and the two-year noise dataset showed neg-ligible differences within the depth range of 0-140 km.Our findings demonstrate the potential value of microseisms generated by energetic typhoons in precisely probing the Vs structure of the crust and uppermost mantle.

外文关键词：

Multi-mode surface wave tomographyTyphoon-excited microseismsFrequency-Bessel transformAmbient noise cross-correlationCrustal and uppermost mantle structure

作者：

Xuping FENG、Yingjie XIA、Xiaofei CHEN

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作者单位：

Department of Earth and Space Sciences,Southern University of Science and Technology,Shenzhen 518055,China

College of Geophysics,Chengdu University of Technology,Chengdu 610059,China

Shenzhen Key Laboratory of Deep Offshore Oil and Gas Exploration Technology,Southern University of Science and Technology,Shenzhen 518055,China

Guangdong Province Key Laboratory of Geophysical High-resolution Imaging Technology,Southern University of Science and Technology,Shenzhen 518055,China

Institute of Risk Analysis,Prediction and Management,Southern University of Science and Technology,Shenzhen 5

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出版年：

2024

DOI：

10.1007/s11430-024-1408-8

中国科学:地球科学(英文版)

中国科学院

中国科学:地球科学(英文版)

影响因子：1.002

ISSN：1674-7313

年,卷(期)：2024.67(11)