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

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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(V_(S)) 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 V_(S) 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 V_(S) structure. Comparison of V_(S) models derived from typhoon-induced microseisms and the two-year noise dataset showed negligible 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 V_(S)structure of the crust and uppermost mantle.
出处 《Science China Earth Sciences》 SCIE EI CAS CSCD 2024年第11期3436-3447,共12页 中国科学(地球科学英文版)
基金 supported by the National Natural Science Foundation of China (Grant No. 92155307) the Guangdong Provincial Key Laboratory of Geophysical High-resolution Imaging Technology (Grant No. 2022B1212010002) the ShenzhenScienceandTechnologyProgram(GrantNo. KQTD20170810111725321) the Shenzhen Key Laboratory of Deep Offshore Oil and Gas Exploration Technology (Grant No. ZDSYS20190902093007855) the National Natural Science Foundation of China (Grant No. 42374072)。
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