Comparison of MASW and seismic interferometry with use of ambient noise for estimation of S-wave velocity field in landslide subsurface

Abstract

This study presents a comparison of data acquisition, processing and interpretation between passive seismic interferometry (SI) and active multichannel analysis of surface waves (MASW) methods, both using surface waves for estimation S-wave velocity field. Measurements have been taken in the same geological engineering conditions on Just-Tegoborze landslide on the south of Poland. This comparison study has an important meaning from landslide hazard evaluation point of view. The landslide is located in Magura Nappe in Outer (Flysch) Carpathians. SI was based on registration of local seismic noise generated by high traffic on the state road which intersects the landslide. The main processing step was cross-correlation of seismic noise between every pair of receivers. It led to obtain series of empirical Green's functions for Rayleigh surface wave. However, in MASW method, seismic energy was released by an impact of 5 kg sledgehammer in a metal plate. Both methods included analysis of dispersion curves of Rayleigh surface wave. The inversion of picked fundamental modes was applied using genetic algorithm and resulted in 1D S-wave velocity models. The last step of interpretation included model visualization as the 2D S-wave velocity sections for studied profiles. Both MASW and SI methods allowed to estimate S-wave velocity field in Just-Tegoborze landslide subsurface. Dispersion images obtained from both methods provided similar phase velocity and frequency ranges. On S-wave velocity sections, the greater depth range was observed for SI method; however, lateral resolution was better for MASW. Slip surfaces in colluvial layer were not observed on either SI or MASW S-wave velocity sections. Only results obtained from SI allowed to distinguish probable slip surface located deeper, i.e. on the contact with less weathered flysch bedrock.

Landslide monitoring using seismic ambient noise correlation: challenges and applications

“…The curve is then inverted to estimate the shear-wave velocity profile at depth (Wathelet et al, 2008), using for example the active MASW or passive ReMI method (Park et al, 1999;Louie, 2001). Shear-wave velocity tomography based on CCFs has been reported for a few landslides (Renalier et al, 2010b;Pilz et al, 2014;Harba and Pilecki, 2017;Harba et al, 2019), and results are similar or complementary to active methods.…”

A Review on Past Cases of Geophysical Explorations for Assessment of Slope Stability

“…을 통해 토양층과 기반암을 구분하였다 (Harba et al, 2019). 토양층과 기반암의 P파 속도 대비는 매우 크게 나타나며, 간섭기법을 이용하여 속도 프로파일 역시 유사한 결과를 보인다(Fig.…”

Seismic refraction and ambient noise methods to explore the extension of soft materials in a landslide

“…In addition, sudden landslides occur under a stress regime in which the land mass is affected by extraordinary precipitation or the induced stress caused by an earthquake (Jongmans and Garambois, 2007). Seismic methods for subsurface characterization include seismic refraction and spectral analysis of surface waves (whether from an active or passive source) to obtain, more accurately, the bedrock irregularity (Harba et al, 2019). However, to cover large areas or acquire data in topographically complicated terrain, the results are only a sample of the magnitude of the problem in the case of landslides.…”

“…A summary of historical background and various applications in science and engineering at different scales are described by (Larose et al, 2015) and (Schuster, 2016). For example, in the case of landslides, SI has been used to identify the extent of the elastic properties contrast between the soft materials and the bedrock (Renalier et al, 2010;Pilz et al, 2014;Harba et al, 2019;Chávez-García et al, 2021). Additionally, the coda of the EGFs has allowed monitoring to detect velocity changes before the potential mass motions (Mainsant et al, 2012;Del Gaudio et al, 2013;Le Breton et al, 2021).…”