Joint inversion of active sources and ambient noise for near-surface structures

a case study in the Balikun Basin, China

Yinhe Luo, Jing Lin, Yingjie Yang, Limin Wang, Xiaozhou Yang, Jingyun Xie

Research output: Contribution to journalArticle

3 Citations (Scopus)


The multichannel analysis method of surface waves (MASW) is widely used to image S-wave velocities (VS) of the near surface. The MASW method can typically image VS structures at depths down to several tens of meters. However, this investigation depth is insufficient to meet the requirements of some engineering projects. Ambient noise tomography (ANT) is an appealing alternative method to map greater depths due to its ability to obtain low-frequency surface waves from ambient noise. Combining active and ambient noise surface-wave measurements helps to extend the investigation depth of near-surface VS structures. In this study, we develop a joint inversion method of combining active sources and ambient noise in a near-surface S-wave velocity investigation. We demonstrate the effectiveness of our methods using data from a surface-wave survey project in the Balikun basin, China, as a case study. We extract dispersion curves of fundamental-mode Rayleigh waves from the active source and ambient noise survey, respectively. We combine these two sets of dispersion curves to determine local Rayleigh-wave dispersion curves. Finally, we build a 2D VS model beneath the Balikun basin by inverting the resulting local dispersion curves. Our results demonstrate that combining these two sets of dispersion curves from active and ambient noise data is an effective approach to increasing investigation depth of near-surface structures.

Original languageEnglish
Pages (from-to)2256-2265
Number of pages10
JournalSeismological Research Letters
Issue number6
Publication statusPublished - 1 Nov 2018

Fingerprint Dive into the research topics of 'Joint inversion of active sources and ambient noise for near-surface structures: a case study in the Balikun Basin, China'. Together they form a unique fingerprint.

  • Cite this