Shallow crustal model of the DehDasht in Zagros, Iran, using Rayleigh wave tomography

Kazemnia, Mohsen; Shirzad, Taghi; Shakeri, Nastaran; Norouzi, Siavash; Abdollahi, Somayeh; Heydarzadeh, Kobra; Motlagh, Shobeir Ashkpour

doi:10.1016/j.pepi.2022.106972

Cited by 4 publications

(1 citation statement)

References 64 publications

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“…The location and depth of the estimated velocity anomaly as resolved in this study on the eastern side of the array (black arrow in Fig. 6) is in agreement with the results from a surface wave tomography (Kazemnia et al 2023). The estimated P-velocity anomaly on the western side (white arrow in Fig.…”

Section: Discussionsupporting

confidence: 87%

3-D body-wave tomography from the seismic ambient noise recorded by a dense array in the Dehdasht area, Iran

Riahi

Shomali

Obermann

et al. 2023

Geophysical Journal International

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Summary The strong attenuation of the thick sedimentary layers in the Dehdasht region, Iran, renders active seismic exploration surveys difficult. The imaging of the existent limestone reservoirs is limited to the shallow subsurface due to the strong attenuation of seismic waves. Here, we discuss a different approach to imaging the subsurface using body waves extracted from the cross-correlation of the seismic ambient wave-field. We discuss the technical challenges to extracting clear P- wave arrivals from the seismic ambient wave-field of a dense 3-component seismic array deployed in the Dehdasht basin. We invert the data for the 3D P- wave velocity structure and compare the velocity model with results from the 2D active seismic surveys in the area. The results show the potential of using body waves extracted from the seismic ambient wave-field for imaging purposes in highly attenuating areas.

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Section: Discussionsupporting

confidence: 87%

3-D body-wave tomography from the seismic ambient noise recorded by a dense array in the Dehdasht area, Iran

Riahi

Shomali

Obermann

et al. 2023

Geophysical Journal International

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Crustal structure of Khorasan, NE Iran, using Rayleigh wave tomography

Moghadam,

Shirzad,

Kazemnia

et al. 2024

J Seismol

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Three-component high-resolution seismic time–frequency polarization filter

Kazemnia Kakhki,

Mokhtari,

Mansur

et al. 2023

Geophysical Journal International

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Summary The analysis of earthquake recordings from three-component instruments can be challenging due to overlapping events. Time-frequency (TF) polarization methods are efficient tools for this purpose, which can discriminate these events. Previous polarization methods did not consider all three components simultaneously while transferring data to TF domain, which can cause inaccuracies in the reconstruction of wave amplitudes. Therefore, the three-component sparse adaptive S transform (3C-SAST) algorithm is preferred to other TF decompositions since it is mainly developed for polarization analysis purposes, and outperforms other TF methods. In this paper, we developed the 3C-SAST by adding a parameter to adjust the sparseness of the solution and make the resolution flexible. The developed TF decomposition is then used to extend the Morozov & Smithson (1996) method to TF domain, and devise a new TF polarization filter whose invertibility and resolution flexibility make it a promising tool for wavefield separation. This filter can eliminate the out-of-plane arrival energies and extract the Rayleigh waves for multicomponent data, which has application in Rayleigh wave tomography and seismological studies. We demonstrated the efficiency of the proposed method for seismic surface waves separation using synthetic signals and three-component teleseismic earthquake recording.

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Shallow crustal model of the DehDasht in Zagros, Iran, using Rayleigh wave tomography

Cited by 4 publications

References 64 publications

3-D body-wave tomography from the seismic ambient noise recorded by a dense array in the Dehdasht area, Iran

3-D body-wave tomography from the seismic ambient noise recorded by a dense array in the Dehdasht area, Iran

Crustal structure of Khorasan, NE Iran, using Rayleigh wave tomography

Three-component high-resolution seismic time–frequency polarization filter

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