Single-Point Transfer Function Method for Subsurface Structure Detection With a Six-Component Seismometer

doi:10.1109/TGRS.2025.3619601

Single-Point Transfer Function Method for Subsurface Structure Detection With a Six-Component Seismometer

2025-01-01

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DOI：10.1109/TGRS.2025.3619601

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We propose a single-station transfer function method using six-component (6-C) seismometer data. Conventional single-station methods assume monochromatic waves and rely on narrow-bandpass filtering, which introduces spectral distortion and underestimates phase velocities. Through numerical simulations, we demonstrate that these issues arise from nonideal filter responses and correlation contamination. To address these limitations, we reformulate the estimation as a system identification problem by modeling different seismic components as input–output pairs of a local system, and propose the single-point transfer function method. To enhance the accuracy of detection, we design a correlation-based slicing strategy that selects high-quality slices for analysis, and use a weighted average of slice-wise estimates as the final result. This framework is compatible with several existing single-station methods, offering deeper insight into wave-medium interactions. Experiments using ambient seismic noise demonstrate that the estimated shear-wave velocity profiles from both Love and Rayleigh waves show strong consistency with borehole drilling results, confirming the effectiveness of the proposed method.

Keywords:

Phase velocity estimation

rotational seismology

single-point transfer function method

single-station subsurface inversion

six-component (6-C) seismometer

Single-Point Transfer Function Method for Subsurface Structure Detection With a Six-Component Seismometer

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