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Depth distribution of Moho model and tectonic patterns in South China Sea and adjacent areas

This study aims to investigate the depth distribution of Mohorovicic discontinuity (Moho) and its relationship with the tectonic pattern of the South China Sea and adjacent areas. To achieve this, the spatial characteristics of the full tensor gravity gradient data are analyzed to identify 17 large...

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Detalles Bibliográficos
Autores principales: Guo, Dongmei, Xue, Zhixin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10209414/
https://www.ncbi.nlm.nih.gov/pubmed/37251832
http://dx.doi.org/10.1016/j.heliyon.2023.e16281
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author Guo, Dongmei
Xue, Zhixin
author_facet Guo, Dongmei
Xue, Zhixin
author_sort Guo, Dongmei
collection PubMed
description This study aims to investigate the depth distribution of Mohorovicic discontinuity (Moho) and its relationship with the tectonic pattern of the South China Sea and adjacent areas. To achieve this, the spatial characteristics of the full tensor gravity gradient data are analyzed to identify 17 large and deep faults and to divide the study area into 9 tectonic units with distinct geological structures. Using a three-dimensional (3D) interface inversion method, the Moho depth is determined, constrained by the Moho depth information obtained from sonar-buoy detection and submarine seismograph detection profiles. By analyzing the relationship between the distribution characteristics of Moho and tectonic units, the study summarizes the trend, relief, gradient of Moho, and crustal properties in the study area. Additionally, the seismically constrained Moho undulation combined with the gravity data, gravity gradient anomalies and unconstrained 3D correlation imaging are employed to study the crustal structure of the South China Sea, investigate the vertical and horizontal changes of the crustal structure, and reveal the large-scale crustal and regional structure of the South China Sea. Through the coupling analysis of shallow and deep structures, the study reveals that the gravity gradient anomalies and 3D correlation imaging are consistent with the variations of the Moho depth, indicating the presence of a trench-island arc-back arc basin system and the distribution of continental crust, oceanic crust, and transitional crust in the South China Sea.
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spelling pubmed-102094142023-05-26 Depth distribution of Moho model and tectonic patterns in South China Sea and adjacent areas Guo, Dongmei Xue, Zhixin Heliyon Research Article This study aims to investigate the depth distribution of Mohorovicic discontinuity (Moho) and its relationship with the tectonic pattern of the South China Sea and adjacent areas. To achieve this, the spatial characteristics of the full tensor gravity gradient data are analyzed to identify 17 large and deep faults and to divide the study area into 9 tectonic units with distinct geological structures. Using a three-dimensional (3D) interface inversion method, the Moho depth is determined, constrained by the Moho depth information obtained from sonar-buoy detection and submarine seismograph detection profiles. By analyzing the relationship between the distribution characteristics of Moho and tectonic units, the study summarizes the trend, relief, gradient of Moho, and crustal properties in the study area. Additionally, the seismically constrained Moho undulation combined with the gravity data, gravity gradient anomalies and unconstrained 3D correlation imaging are employed to study the crustal structure of the South China Sea, investigate the vertical and horizontal changes of the crustal structure, and reveal the large-scale crustal and regional structure of the South China Sea. Through the coupling analysis of shallow and deep structures, the study reveals that the gravity gradient anomalies and 3D correlation imaging are consistent with the variations of the Moho depth, indicating the presence of a trench-island arc-back arc basin system and the distribution of continental crust, oceanic crust, and transitional crust in the South China Sea. Elsevier 2023-05-16 /pmc/articles/PMC10209414/ /pubmed/37251832 http://dx.doi.org/10.1016/j.heliyon.2023.e16281 Text en © 2023 The Authors. Published by Elsevier Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Guo, Dongmei
Xue, Zhixin
Depth distribution of Moho model and tectonic patterns in South China Sea and adjacent areas
title Depth distribution of Moho model and tectonic patterns in South China Sea and adjacent areas
title_full Depth distribution of Moho model and tectonic patterns in South China Sea and adjacent areas
title_fullStr Depth distribution of Moho model and tectonic patterns in South China Sea and adjacent areas
title_full_unstemmed Depth distribution of Moho model and tectonic patterns in South China Sea and adjacent areas
title_short Depth distribution of Moho model and tectonic patterns in South China Sea and adjacent areas
title_sort depth distribution of moho model and tectonic patterns in south china sea and adjacent areas
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10209414/
https://www.ncbi.nlm.nih.gov/pubmed/37251832
http://dx.doi.org/10.1016/j.heliyon.2023.e16281
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AT xuezhixin depthdistributionofmohomodelandtectonicpatternsinsouthchinaseaandadjacentareas