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<p>The dispersion analysis of surface waves serves as an established methodology for deriving subsurface shear-wave velocity profiles. Surface waves, generated through the interaction of elastic body waves with free-surface boundaries, are conventionally excited by controlled impulsive sources yet also persistently exist within ambient vibration wavefields. This study presents a comparative analysis of Rayleigh-wave dispersion characteristics derived from ambient vibration sources using both cross-correlation techniques and conventional surface-wave methodologies. The pivotal phase in both approaches involves the precision of dispersion-image computation, which fundamentally governs the reliability of extracted dispersion curves and consequently influences the accuracy of subsequent inversion outcomes. Our findings demonstrate that the cross-correlation method yields enhanced resolution in characterizing Rayleigh-wave dispersion patterns, attributable to its inherent reduced dependence on source-function characteristics.</p>

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The Small Scale Ambient Noise Imaging Based on Cross-correlation Method

  • 期刊论文

  • 发表日期：

    2025年12月3日

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  • Gang Hu,
  • Lei Shao,
  • Xing-xing Hu

摘要

The dispersion analysis of surface waves serves as an established methodology for deriving subsurface shear-wave velocity profiles. Surface waves, generated through the interaction of elastic body waves with free-surface boundaries, are conventionally excited by controlled impulsive sources yet also persistently exist within ambient vibration wavefields. This study presents a comparative analysis of Rayleigh-wave dispersion characteristics derived from ambient vibration sources using both cross-correlation techniques and conventional surface-wave methodologies. The pivotal phase in both approaches involves the precision of dispersion-image computation, which fundamentally governs the reliability of extracted dispersion curves and consequently influences the accuracy of subsequent inversion outcomes. Our findings demonstrate that the cross-correlation method yields enhanced resolution in characterizing Rayleigh-wave dispersion patterns, attributable to its inherent reduced dependence on source-function characteristics.