Shallow structure of the Tangshan fault zone unveiled by dense seismic array and horizontal-to-vertical spectral ratio method

Bao, Feng; Li, Zhiwei; Yuen, David A.; Zhao, Jianzhong; Ren, Jia; Tian, Baofeng; Meng, Qinghong

doi:10.1016/j.pepi.2018.05.004

Cited by 28 publications

(5 citation statements)

References 61 publications

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“…Seismic methods for imaging subsurface structures include reflection imaging (e.g., Bruno & Rapolla 1999), refraction imaging (e.g., Azwin et al 2013), the horizontal-tovertical spectral ratio method (HVSR, e.g., Bao et al 2018), and surface wave imaging (e.g., Xia et al 1999Xia et al , 2003Xia et al , 2007Foti et al 2011;Li et al 2016a;Liang et al 2019;Zhang et al 2019;Mi et al 2020;Zhou et al 2021;Chen et al 2021). Surface wave methods, including active source and passive source imaging, have been widely used because of their high signal-to-noise ratio (SNR) in the field recording.…”

Section: Introductionmentioning

confidence: 99%

Sensing Shallow Structure and Traffic Noise with Fiber-optic Internet Cables in an Urban Area

et al. 2021

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Distributed acoustic sensing (DAS) is a novel seismic observation system developed in recent years that can realize ultrahigh density observations and has attracted extensive attention in the field of seismology. DAS uses fiber-optic cables as sensing units, which are easy to incorporate with urban telecommunication fiber-optic cables for seismological observations. Compared with seismometers, DAS has the advantages of being rapidly deployed and recyclable, being able to acquire dense observations at low cost, and convenient data collection. In this study, a 5.2 km long telecom fiber-optic internet cable was utilized as a DAS array in an urban area to record ambient noise, and the noise cross-correlation function (NCF) was calculated. There are two different distribution types of ambient noise sources along the cable, regular along-road trucks (Taihe Road) and complex ambient noise, including human activities and traffic sources along and across the Jinniu road. In the first case, we constructed a 2D S-wave velocity model down to 100 m depth and a low-velocity zone was revealed. The S-wave model well explained the traffic signal along the Taihe road and the low-velocity zone is also consistent with the results obtained from co-located geophone arrays. In the second case, due to the complexity of the traffic noise distribution, empirical Green's functions were barely achieved. Therefore, we performed a synthetic test obtaining different NCFs with different source distributions, and two specific cases that dominate the NCF results were matched. Finally, we obtained the traffic noise distribution along the road, which is consistent with the power spectra density of the ambient noise. In conclusion, by combining DAS and urban fiber-optic internet cables with urban traffic noise, we can effectively reveal the traffic activities and image shallow structures with high resolution, which could offer a reference for urban construction and disaster prevention. Keywords Distributed acoustic sensing • Urban area • Ambient noise tomography • Ambient noise source distribution Article Highlights• DAS turns the urban fiber-optic internet cables into ultra-dense permanent seismic observation arrays • We revealed a high-resolution shallow structure using urban fiber-optic internet cables • We obtained the distribution of traffic activities along the road

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Section: Introductionmentioning

confidence: 99%

Sensing Shallow Structure and Traffic Noise with Fiber-optic Internet Cables in an Urban Area

et al. 2021

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“…The PRF method has been used to investigate ice thicknesses, ice anisotropic structures and subglacial conditions in polar ice sheets (Anandakrishnan and Winberry, 2004; Hansen and others, 2010; Wittlinger and Farra, 2012, 2015; Chaput and others, 2014; Walter and others, 2014; Yan and others, 2017). By computing the ratio between the horizontal and vertical Fourier spectra of three-component ambient seismic noise or an earthquake record, the HVSR method can quickly retrieve the seismic structures of a medium (Nakamura, 1989; Lunedei and Malischewsky, 2015; Bao and others, 2018). This method has been increasingly applied in ice environments to study seismic structures of uppermost permafrost, firn, glaciers and ice sheets (Lévêque and others, 2010; Picotti and others, 2017; Yan and others, 2018; Köhler and Weidle, 2019).…”

Section: Introductionmentioning

confidence: 99%

Antarctic ice-sheet structures retrieved from P-wave coda autocorrelation method and comparisons with two other single-station passive seismic methods

Peng

et al. 2019

J. Glaciol.

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Passive seismology is becoming increasingly popular for glacier/ice-sheet structure investigations in Polar regions. Single-station passive seismic methods including P-wave receiver functions (PRFs), horizontal-to-vertical spectral ratio (HVSR) and a recently proposed autocorrelation method have been used to retrieve glacier/ice-sheet structures. Despite their successful applications, analysis regarding their detection abilities in different glaciological environments has not been reported. In this study, we compare ice thicknesses and vp/vs ratios obtained from the three methods using data collected at GAMSEIS and POLENET/ANET seismic arrays in Antarctica. Ice thickness estimates derived from the three methods are found to be consistent. Comparisons conducted under various model setups, including those involving tiled layers and sedimentary layers, show that the effectiveness of the autocorrelation method is not superior to the PRF method for retrieving ice-sheet structures. The autocorrelation method however can complement other methods as it only requires a single component seismic record.

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“…The H/V method has been successfully applied in studies of sedimentary structures, such as studies of thickness and shear-wave velocities (Ibs-von Seht and Wohlenberg, 1999;Langston and Horton, 2014;Civico et al, 2017;Bao et al, 2017). However, applications in ice environments are rare.…”

Section: Sesame Team 2005mentioning

confidence: 99%

“…In order to improve the reliability, accuracy, and efficiency of ice thickness investigation, we selected the horizontal-to-vertical spectral ratio (H/V) method to determine ice thickness. As a noninvasive and passive seismic method, the H/V technique has been extensively used in seismic exploration as a tool to detect sediment thickness, which suggests its powerful effectiveness in subsurface structure investigations (Konno and Ohmachi, 1998;Ibs-von Seht and Wohlenberg, 1999;Bonnefoy-Claudet et al, 2006;Bao et al, 2017). Considering that the sediments and ice sheet layer are both low shear-wave velocity (Vs) layers atop the high velocity bedrock, the H/V method should be suitable for determining ice sheet thickness.…”

Section: Introductionmentioning

confidence: 99%

Antarctic ice sheet thickness estimation using the H/V spectral ratio method with single-station seismic ambient noise

Peng

et al. 2017

Preprint

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Abstract. The horizontal-to-vertical spectral ratio (H/V) method implemented at single stations using seismic 11 ambient noise waveforms is a fast, noninvasive, efficient method to investigate the subsurface velocity 12 structures of the shallow crust. In this study, we report on a successful application of the H/V method to estimate 26of seismic ambient noise records can be shortened to 1-2 hours for reliable ice sheet thickness estimation using 27 the H/V method. This study extends the application fields of the H/V method and provides a complementary and 28 independent way to measure ice sheet thickness in Antarctica.

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Shallow structure of the Tangshan fault zone unveiled by dense seismic array and horizontal-to-vertical spectral ratio method

Cited by 28 publications

References 61 publications

Sensing Shallow Structure and Traffic Noise with Fiber-optic Internet Cables in an Urban Area

Sensing Shallow Structure and Traffic Noise with Fiber-optic Internet Cables in an Urban Area

Antarctic ice-sheet structures retrieved from P-wave coda autocorrelation method and comparisons with two other single-station passive seismic methods

Antarctic ice sheet thickness estimation using the H/V spectral ratio method with single-station seismic ambient noise

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