Results 11 to 20 of about 32,021 (259)

Seismological reference earth model in South China (SREM-SC): Upper mantle

open access: yesFrontiers in Earth Science, 2023
This work is the mantle component of constructing the Seismological Reference Earth Model in South China (SREM-SC). Although there has been a wide range of research for imaging the upper mantle structures beneath South China, most of them focus on the ...
Qingya Tang   +5 more
doaj   +1 more source

Monitoring of repaired water leaks using surface wave tomography

open access: yesDevelopments in the Built Environment, 2023
Cracks with water leakage have been found in an underground concrete structure, and they have been repaired by injecting waterstop agents and applying patch repair materials after V-shaped removal of existing materials.
Norihiko Ogura   +3 more
doaj   +1 more source

Resolving Continental Magma Reservoirs With 3D Surface Wave Tomography

open access: yesGeochemistry, Geophysics, Geosystems, 2022
Surface wave tomography is widely used to improve our understanding of continental magma reservoirs that may be capable of fueling explosive volcanic eruptions.
Ross Maguire   +5 more
doaj   +1 more source

Numerical and Experimental Location Detection of Through Defect in Homogenized Plates using Tomography of Surface Wave Method [PDF]

open access: yesفصلنامه علوم و فناوری فضایی, 2019
Using surface guided wave is one of the most reliable methods of structural health monitoring. Mostly the bulk wave is preferred for identification of internal defects, which is inefficient in localizing the surface cracks. In this paper the procedure of
Saeed Zohoori, saeed shakhesi
doaj   +1 more source

Surface wave tomography of the Gulf of California [PDF]

open access: yesGeophysical Research Letters, 2007
We measured interstation fundamental mode Rayleigh wave phase velocities using data from the NARS‐Baja seismic network located around the Gulf of California. A region‐average, shear velocity model and a set of azimuthally anisotropic phase velocity maps are obtained from these data.
Zhang, X.   +3 more
openaire   +2 more sources

Comparison of straight-ray and curved-ray surface wave tomography approaches in near-surface studies [PDF]

open access: yesSolid Earth, 2022
Surface waves are widely used to model shear-wave velocity of the subsurface. Surface wave tomography (SWT) has recently gained popularity for near-surface studies.
M. Karimpour, E. Slob, L. V. Socco
doaj   +1 more source

A reappraisal of regional surface wave tomography [PDF]

open access: yesGeophysical Journal International, 2002
SUMMARY A three-stage inversion scheme for surface wave tomography working with multimode phase dispersion as a function of frequency provides a means of combining a wide range of data in a common framework. The phase average approximation is applied directly to phase slowness and there is no need to invoke perturbation arguments for the interpretation
Kennett, B. L. N., Yoshizawa, K.
openaire   +2 more sources

Ongoing Lithospheric Alteration of the North China Craton Revealed by Surface‐Wave Tomography and Geodetic Observations

open access: yesGeophysical Research Letters, 2022
The North China Craton (NCC) is renowned for cratonic reactivation and dramatic destruction. Detailed lithospheric structure is crucial for understanding the geological evolution and seismogenesis of the NCC.
J. K. Feng, H. J. Yao, L. Chen, C. L. Li
doaj   +1 more source

Two-Dimensional Full-Waveform Joint Inversion of Surface Waves Using Phases and Z/H Ratios

open access: yesApplied Sciences, 2021
Surface-wave dispersion and the Z/H ratio are important parameters used to resolve the Earth’s structure, especially for S-wave velocity. Several previous studies have explored using joint inversion of these two datasets.
Chao Zhang, Ting Lei, Yi Wang
doaj   +1 more source

Eikonal Tomography With Physics‐Informed Neural Networks: Rayleigh Wave Phase Velocity in the Northeastern Margin of the Tibetan Plateau

open access: yesGeophysical Research Letters, 2022
We present a novel eikonal tomography approach using physics‐informed neural networks (PINNs) for Rayleigh wave phase velocities based on the eikonal equation. The PINN eikonal tomography (pinnET) neural network utilizes deep neural networks as universal
Yunpeng Chen   +5 more
doaj   +1 more source

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