Shear wave velocity structure in the middle segment of the Xiaojiang fault zone using ambient noise tomography

Yao, Liang; Xie, Tongtong; Lu, Zhanwu; Li, Qiusheng; Zhang, Xinyan; Wang, Guangwen; Wang, Guan; Chen, Si; Chang, Chang

doi:10.3389/feart.2023.1161989

Cited by 4 publications

(2 citation statements)

References 54 publications

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“…The authors observed a strong seismic velocity gradient across the fault along the distributed acoustic sensing (DAS) line. Such velocity variations are also observed in the Xiaojiang fault zone (Liang et al, 2023).…”

Section: Introductionsupporting

confidence: 56%

Estimation of shallow structure along the Hinagu Fault by applying seismic interferometry to DAS observations conducted along National Route 3

Hamanaka,

Emoto

2024

Preprint

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Distributed acoustic sensing (DAS) is a newly developed geophysical observation method and has attracted wide attention in seismology for realizing ultra-high-density observations. DAS uses fiber-optic cables and measures the strain at every point along the cable. This advantage renders DAS an effective tool for investigating near-surface geotechnical properties. Near fault zones, it is important to obtain detailed geotechnical information in advance because of the potential for significant damage in an earthquake. In this study, we recorded continuous ground motion for approximately one month using a 40 km-long fiber-optic communication cable running under National Route 3 in Kumamoto Prefecture. The cross-correlation function (CCF) was calculated using ambient noise, and three-station interferometry was applied to improve the signal-to-noise ratio of the CCF. Using the reconstructed CCF between channels, we calculated the dispersion curves by conducting multichannel surface wave analysis and estimated the one-dimensional velocity structure of each section from the fundamental modes of the dispersion curves. We obtained the detailed shallow S-wave velocity structure to a depth of 180 m along the Hinagu Fault for approximately 2.5 km. The obtained velocity structure showed that the low-velocity region increased abruptly with depth from the center to the latter half of the analyzed section. This velocity change occurs when the national highway running parallel to the fault gradually leaves the fault, suggesting a structural change from solid volcanic layers to thick shallow sedimentary layers derived from the Yatsushiro Plain.

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Section: Introductionsupporting

confidence: 56%

Estimation of shallow structure along the Hinagu Fault by applying seismic interferometry to DAS observations conducted along National Route 3

Hamanaka,

Emoto

2024

Preprint

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“…Ambient noise tomography has been widely used to build regional or global shear wave velocity models. Recently, this method has been applied to study the structure beneath cities (Li et al, 2016;Liang et al, 2018Liang et al, , 2019a. The advantages of this method are: (1) it does not rely on earthquake data, so is applicable to regions lacking seismic activity, such as Jinan; (2) compared with active source methods, it is cheaper and easier to implement (Liu et al, 2015); (3) the shear wave velocity revealed by ambient noise tomography is especially sensitive to water, so it is highly suitable for use in studying the water migration in Jinan.…”

Section: Methods and Datamentioning

confidence: 99%

Ambient Noise Tomography of Jinan: The Migration of Groundwater and the Formation of Geothermal Water

Lei

Feng

Chen

et al. 2022

Acta Geologica Sinica (Eng)

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Jinan is located in midwestern Shandong province, eastern China. As one of the most important cities of the Bohai Rim region and the lower reaches of the Yellow River, it is the provincial capital of Shandong, with a permanent population of more than 7 million. Jinan sits on the southeast edge of the North China Plain, on the northern edge of the central Shandong mountains, south of the Yellow River and north of the Taishan Mountain. The terrain is high in the south and low in the north: the altitude of the southern mountainous area is about 100-500 m, the altitude of the central tilted plain is about 20-100 m and the altitude on the northern alluvial plain in the middle and lower reaches of the Yellow River is below 20 m.Jinan is famous as the Spring City, with many famous springs being located in the urban region. On the one hand, these springs are important scenic spots and attract many tourists, but on the other, these springs are also disruptive factors in city construction (Zhang et al., 2017). Springs are associated with abundant groundwater and in Jinan, the groundwater has caused some troubles in the construction of underground transportation (Yang et al., 2012;Wang et al., 2018a). In recent years, the spring flow has declined a lot. Geological modelling has provided some suggestions for spring protection (Wu and Xu, 2005;Qian et al., 2006;Kang et al., 2011).In addition to spring water, the groundwater also exists in another form, that of geothermal water. There are plenty

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Estimation of shallow structure along the hinagu fault by applying seismic interferometry to DAS observations conducted along national route 3 in Kumamoto prefecture, Japan

Hamanaka,

Emoto

2024

Earth Planets Space

View full text Add to dashboard Cite

Distributed acoustic sensing (DAS) is a newly developed geophysical observation method and has attracted wide attention in seismology for realizing ultra-high-density observations. DAS uses fiber-optic cables and measures the strain at every point along the cable. This advantage renders DAS an effective tool for investigating near-surface geotechnical properties. Near fault zones, it is important to obtain detailed geotechnical information in advance because of the potential for significant damage in an earthquake. In this study, we recorded continuous ground motion for approximately 1 month using a 40 km-long fiber-optic communication cable running under National Route 3 in Kumamoto Prefecture, Japan. The cross-correlation function (CCF) was calculated using ambient noise, and three-station interferometry was applied to improve the signal-to-noise ratio of the CCF. Using the reconstructed CCF between channels, we calculated the dispersion curves by conducting multichannel surface wave analysis and estimated the one-dimensional velocity structure of each section from the fundamental modes of the dispersion curves. We obtained the detailed shallow S-wave velocity structure to a depth of 180 m along the Hinagu Fault for approximately 2.5 km. The obtained velocity structure showed that the low-velocity region increased abruptly with depth from the center to the latter half of the analyzed section. This velocity change occurs when the national highway running parallel to the fault gradually leaves the fault, suggesting a structural change from solid volcanic layers to thick shallow sedimentary layers derived from the Yatsushiro Plain. Graphical abstract

show abstract

Shear wave velocity structure in the middle segment of the Xiaojiang fault zone using ambient noise tomography

Cited by 4 publications

References 54 publications

Estimation of shallow structure along the Hinagu Fault by applying seismic interferometry to DAS observations conducted along National Route 3

Estimation of shallow structure along the Hinagu Fault by applying seismic interferometry to DAS observations conducted along National Route 3

Ambient Noise Tomography of Jinan: The Migration of Groundwater and the Formation of Geothermal Water

Estimation of shallow structure along the hinagu fault by applying seismic interferometry to DAS observations conducted along national route 3 in Kumamoto prefecture, Japan

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