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Seismic Tomography
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Seismic Tomography

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Acoustics and Vibrations".

Deadline for manuscript submissions: closed (31 May 2020) | Viewed by 5435

Special Issue Editor

Dr. Mircea Radulian

E-Mail Website
Guest Editor
National Institute for Earth Physics, Calugareni str. 12, P.O. Box MG-2, 077125 Magurele-Bucharest, Ilfov, Romania
Interests: earth science; seismology; seismic source; seismic hazard
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Seismic tomography is one of the most powerful techniques able to illuminate the structure of the Earth’s deep interior. An increasing number of works have focussed on seismic tomography studies using different approaches and types of waveforms, namely: body waves, surface waves, or seismic noise. The structural 3D images are complemented with 3D images on the attenuation and anisotropy properties. Despite the progression of observational data and modelling and computational capabilities, we still face a lot of controversial aspects related to the geodynamical processes in the Earth (thermal and mechanical evolution, dynamic interplay between surface tectonics and mantle convection, interaction between intracontinental/continental margin tectonics, mantle flow, fluid motion, etc.). The scope of this Special Issue is to provide new findings and perspectives on lithosphere/mantle dynamics in different tectonic environments by bringing together high-resolution tomography inversions and related investigations. 

Dr. Mircea Radulian
Guest Editor

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • seismic tomography
  • velocity model
  • attenuation
  • surface waves
  • seismic noise
  • inversion techniques

Published Papers (2 papers)

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Research

20 pages, 10145 KiB  
Article
Teleseismic Tomography for Imaging the Upper Mantle Beneath Northeast China
by Zhuo Jia and Gongbo Zhang
Appl. Sci. 2020, 10(13), 4557; https://doi.org/10.3390/app10134557 - 30 Jun 2020
Cited by 3 | Viewed by 2146
Abstract
Tomographic imaging technology is a geophysical inversion method. According to the ray scanning, this method carries on the inversion calculation to the obtained information, and reconstructs the image of the parameter distribution rule of elastic wave and electromagnetic wave in the measured range, [...] Read more.
Tomographic imaging technology is a geophysical inversion method. According to the ray scanning, this method carries on the inversion calculation to the obtained information, and reconstructs the image of the parameter distribution rule of elastic wave and electromagnetic wave in the measured range, so as to delineate the structure of the geological body. In this paper, teleseismic tomography is applied by using seismic travel time data to constrain layered crustal structure where Fast Marching Methods (FMM) and the subspace method are considered as forward and inverse methods, respectively. Based on the travel time data picked up from seismic waveform data in the study region, the P-wave velocity structure beneath Northeast China down to 750 km is obtained. It can be seen that there are low-velocity anomalies penetrating the mantle transition zone under the Changbai volcano group, Jingpohu Volcano, and Arshan Volcano, and these low-velocity anomalies extend to the shallow part. In this paper, it is suggested that the Cenozoic volcanoes in Northeast China were heated by the heat source provided by the dehydration of the subducted Pacific plate and the upwelling of geothermal matter in the lower mantle. The low-velocity anomaly in the north Songliao basin does not penetrate the mantle transition zone, which may be related to mantle convection and basin delamination. According to the low-velocity anomalies widely distributed in the upper mantle and the low-velocity bodies passing through the mantle transition zone beneath the volcanoes, this study suggests that the Cenozoic volcanoes in Northeast China are kindred and have a common formation mechanism. Full article
(This article belongs to the Special Issue Seismic Tomography)
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19 pages, 7090 KiB  
Article
Optimized Refraction Travel Time Tomography
by Sixin Liu, Zhuo Jia, Yinuo Zhu, Xueran Zhao and Siyuan Cheng
Appl. Sci. 2019, 9(24), 5439; https://doi.org/10.3390/app9245439 - 11 Dec 2019
Cited by 4 | Viewed by 2994
Abstract
In seismic refraction exploration, travel time tomography is the most widely used method in engineering and environmental geophysical exploration. In this paper, we mainly optimize the travel time tomography of refraction. First, with respect to the forward algorithm, we introduce a new travel [...] Read more.
In seismic refraction exploration, travel time tomography is the most widely used method in engineering and environmental geophysical exploration. In this paper, we mainly optimize the travel time tomography of refraction. First, with respect to the forward algorithm, we introduce a new travel time calculation method to improve the accuracy and efficiency of forward calculation. Based on the fast marching method (FMM), we introduce an improved forward calculation method called the multi-stencil fast marching method (MSFM). In the process of inversion, we propose a dynamic prior model composite constraint (DPMCC) method based on the T0 difference method from the idea of multi-scale inversion. Meanwhile, we use the prior information to improve the accuracy of inversion. Furthermore, we use the dynamic regularization factor selection method to make the inversion solution more stable and reliable. Finally, we test and analyze the synthetic data and the measured data to verify the effectiveness of the optimized travel time tomography algorithm. Full article
(This article belongs to the Special Issue Seismic Tomography)
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