Joint Inversion of Active Sources and Ambient Noise for Near‐Surface Structures: A Case Study in the Balikun Basin, China

Abstract

Research Article| October 17, 2018 Joint Inversion of Active Sources and Ambient Noise for Near‐Surface Structures: A Case Study in the Balikun Basin, China Yinhe Luo; Yinhe Luo aHubei Subsurface Multi‐scale Imaging Lab (SMIL), Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan 430074, Hubei Province, ChinacAlso at State Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences, Wuhan 430074, Hubei Province, China. Search for other works by this author on: GSW Google Scholar Jing Lin; Jing Lin aHubei Subsurface Multi‐scale Imaging Lab (SMIL), Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan 430074, Hubei Province, China Search for other works by this author on: GSW Google Scholar Yingjie Yang; Yingjie Yang bAustralian Research Council Centre of Excellence for Core to Crust Fluid Systems (CCFS) and GEMOC, Department of Earth and Planetary Sciences, Macquarie University, Sydney 2109, Australia, [e-mail] Search for other works by this author on: GSW Google Scholar Limin Wang; Limin Wang aHubei Subsurface Multi‐scale Imaging Lab (SMIL), Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan 430074, Hubei Province, China Search for other works by this author on: GSW Google Scholar Xiaozhou Yang; Xiaozhou Yang aHubei Subsurface Multi‐scale Imaging Lab (SMIL), Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan 430074, Hubei Province, China Search for other works by this author on: GSW Google Scholar Jingyun Xie Jingyun Xie aHubei Subsurface Multi‐scale Imaging Lab (SMIL), Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan 430074, Hubei Province, China Search for other works by this author on: GSW Google Scholar Seismological Research Letters (2018) 89 (6): 2256–2265. https://doi.org/10.1785/0220180140 Article history first online: 17 Oct 2018 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn Email Tools Icon Tools Get Permissions Search Site Citation Yinhe Luo, Jing Lin, Yingjie Yang, Limin Wang, Xiaozhou Yang, Jingyun Xie; Joint Inversion of Active Sources and Ambient Noise for Near‐Surface Structures: A Case Study in the Balikun Basin, China. Seismological Research Letters 2018;; 89 (6): 2256–2265. doi: https://doi.org/10.1785/0220180140 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search nav search search input Search input auto suggest search filter All ContentBy SocietySeismological Research Letters Search Advanced Search ABSTRACT 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. You do not currently have access to this article.