Ambient Noise Rayleigh Wave Shallow Tomography in the Tehran Region, Central Alborz, Iran

Mottaghi, Ali Asghar; Rezapour, Mehdi; Tibuleac, I. M.

doi:10.1785/gssrl.83.3.498

Cited by 3 publications

(3 citation statements)

References 22 publications

(17 reference statements)

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Section: Resultsmentioning

confidence: 99%

“…In the Tehran region, Mottaghi, Rezapour and Tibuleac () reported lateral variation of the Rayleigh wave group velocity retrieved by the cross‐correlation of the ambient noise between 2 seconds and 4 seconds. Our results are in strong agreement with the work of Mottaghi et al () for the Rayleigh wave group velocity maps in the middle and east of the Tehran region. Shirzad and Shomali (2013) also obtained the lateral changes of the Rayleigh wave group velocity with the cross‐correlation of the data from the TDMMO, the Iranian Seismological Center, and the International Institute of Earthquake Engineering and Seismology.…”

Section: Resultsmentioning

confidence: 99%

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The imaging of the near‐surface features using earthquakes and ambient noise in the Tehran region

Asadi

Rahimi

Fard

2017

Near Surface Geophysics

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Seismic surface wave tomography of short-period dispersion curves is a useful method for studying the shallow structures of the Earth. In this research, the continuous records of ten seismographs of the Tehran Disaster Mitigation and Management Organization for a period of 8 months have been used to calculate the Green's function for Love and Rayleigh waves. Dispersion curves are calculated using the cross-correlation of the ambient noise signal recorded at station pairs. In order to improve the ray coverage in the Tehran region, dispersion curves of Love and Rayleigh waves are derived from the seismic events recorded by a temporary network run by Parsian Company. The epicentral distance and magnitude of earthquakes are less than 100 km and larger than 1.5, respectively. The dispersion curves are calculated in the period range between 2 seconds and 5 seconds, which correspond to the top sedimentary cover. Surface wave tomography has also been performed to estimate the two-dimensional group velocity maps of Love and Rayleigh waves in the region. Based on the ray coverage inside the 0.1° × 0.1° cells in the region, the estimated minimum dimension of distinct heterogeneities was about 6 km. Based on the derived velocity model, the western and the central parts of the Tehran plain show low anomalies that could be due to the large thickness of alluvial sedimentary cover over the basement. The high-velocity anomaly in the southeastern part of the region can be attributed to the tapering of the alluvial cover towards the rock units where the southeastern mountains of Tehran are present.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

The imaging of the near‐surface features using earthquakes and ambient noise in the Tehran region

Asadi

Rahimi

Fard

2017

Near Surface Geophysics

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“…Shapiro et al [7] performed the first ambient-noise Rayleigh-wave tomography in South California. A large number of subsequent applications of ANT have been focused on continental-or regional-scale crustal structure [8][9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Shallow Shear-Wave Velocity Structure beneath the West Lake Area in Hangzhou, China, from Ambient-Noise Tomography

2021

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Urban geophysical exploration plays an important role in the sustainable development of and the mitigation of geological hazards in metropolitan areas. However, it is not suitable to implement active seismic methods in densely populated urban areas. The rapidly developing ambient-noise tomography (ANT) method is a promising technique for imaging the near-surface seismic velocity structure. We selected the West Lake area of the city of Hangzhou as a case study to probe the shallow subsurface shear-wave velocity (Vs) structure using ANT. We conducted seismic interferometry on the ambient-noise data recorded by 28 seismograph stations during a time period of 17 days. Fundamental-mode Rayleigh-wave group- and phase-velocity dispersion data were measured from cross-correlation functions and then inverted for a 3D Vs model of the uppermost 1 km that covers an area of about 7 km × 8 km. The tomographic results reveal two prominent anomalies, with high velocities in the southwest and low velocities in the northeast. The fast anomaly corresponds to the presence of limestone and sandstone, whereas the slow anomaly is due to the relatively low-velocity rhyolite and volcanic tuff in the area. The boundary between the two anomalies lies to the NE of an NW–SE trending fault, indicating that the fault dips toward the NE. In addition, the pronounced low-velocity anomalies appear under the Baoshi mountain, likely due to the thick rhyolite and volcanic tuff beneath the extinct volcano. Our results correlate well with regional geological features and suggest that ANT could be a promising technique for facilitating the exploration of urban underground space.

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Near-surface azimuthal anisotropy using the Rayleigh wave inversion in the Tehran region, Iran

2023

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Ambient Noise Rayleigh Wave Shallow Tomography in the Tehran Region, Central Alborz, Iran

Cited by 3 publications

References 22 publications

The imaging of the near‐surface features using earthquakes and ambient noise in the Tehran region

The imaging of the near‐surface features using earthquakes and ambient noise in the Tehran region

Shallow Shear-Wave Velocity Structure beneath the West Lake Area in Hangzhou, China, from Ambient-Noise Tomography

Near-surface azimuthal anisotropy using the Rayleigh wave inversion in the Tehran region, Iran

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