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An enhanced view on the Mediterranean Sea crust from potential fields data

The Earth’s crust is exceptionally important to understand the geological evolution of our planet and to access natural resources as minerals, critical raw materials, geothermal energy, water, hydrocarbons, etc.. However, in many regions of the world it is still poorly modelled and understood. Here...

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Autores principales: Sampietro, Daniele, Capponi, Martina, Thébault, Erwan, Gailler, Lydie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10206088/
https://www.ncbi.nlm.nih.gov/pubmed/37221234
http://dx.doi.org/10.1038/s41598-023-35282-6
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author Sampietro, Daniele
Capponi, Martina
Thébault, Erwan
Gailler, Lydie
author_facet Sampietro, Daniele
Capponi, Martina
Thébault, Erwan
Gailler, Lydie
author_sort Sampietro, Daniele
collection PubMed
description The Earth’s crust is exceptionally important to understand the geological evolution of our planet and to access natural resources as minerals, critical raw materials, geothermal energy, water, hydrocarbons, etc.. However, in many regions of the world it is still poorly modelled and understood. Here we present the latest advance on three-dimensional modelling of the Mediterranean Sea crust based on freely available global gravity and magnetic field models. The proposed model, based on the inversion of gravity and magnetic field anomalies constrained by available a-priori information (such as interpreted seismic profiles, previous studies, etc.), provides, with an unprecedented spatial resolution of 15 km, the depths of the main modelled geological horizons (Plio-Quaternary, Messinian and Pre-Messinian sediments, crystalline crust and upper mantle), coherent with the known available constraints, together with the three-dimensional distribution of density and magnetic susceptibility. The inversion is carried out by means of a Bayesian algorithm, which allows to modify at the same time the geometries and the three dimensional distributions of density and magnetic susceptibility, always respecting the constraints introduced by the initial information. In addition to unveil the structure of the crust beneath the Mediterranean Sea, the present study also shows the informative content of freely available global gravity and magnetic models, thus putting the base for the development of future high resolution models of the Earth crust at global level.
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spelling pubmed-102060882023-05-25 An enhanced view on the Mediterranean Sea crust from potential fields data Sampietro, Daniele Capponi, Martina Thébault, Erwan Gailler, Lydie Sci Rep Article The Earth’s crust is exceptionally important to understand the geological evolution of our planet and to access natural resources as minerals, critical raw materials, geothermal energy, water, hydrocarbons, etc.. However, in many regions of the world it is still poorly modelled and understood. Here we present the latest advance on three-dimensional modelling of the Mediterranean Sea crust based on freely available global gravity and magnetic field models. The proposed model, based on the inversion of gravity and magnetic field anomalies constrained by available a-priori information (such as interpreted seismic profiles, previous studies, etc.), provides, with an unprecedented spatial resolution of 15 km, the depths of the main modelled geological horizons (Plio-Quaternary, Messinian and Pre-Messinian sediments, crystalline crust and upper mantle), coherent with the known available constraints, together with the three-dimensional distribution of density and magnetic susceptibility. The inversion is carried out by means of a Bayesian algorithm, which allows to modify at the same time the geometries and the three dimensional distributions of density and magnetic susceptibility, always respecting the constraints introduced by the initial information. In addition to unveil the structure of the crust beneath the Mediterranean Sea, the present study also shows the informative content of freely available global gravity and magnetic models, thus putting the base for the development of future high resolution models of the Earth crust at global level. Nature Publishing Group UK 2023-05-23 /pmc/articles/PMC10206088/ /pubmed/37221234 http://dx.doi.org/10.1038/s41598-023-35282-6 Text en © The Author(s) 2023, corrected publication 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Sampietro, Daniele
Capponi, Martina
Thébault, Erwan
Gailler, Lydie
An enhanced view on the Mediterranean Sea crust from potential fields data
title An enhanced view on the Mediterranean Sea crust from potential fields data
title_full An enhanced view on the Mediterranean Sea crust from potential fields data
title_fullStr An enhanced view on the Mediterranean Sea crust from potential fields data
title_full_unstemmed An enhanced view on the Mediterranean Sea crust from potential fields data
title_short An enhanced view on the Mediterranean Sea crust from potential fields data
title_sort enhanced view on the mediterranean sea crust from potential fields data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10206088/
https://www.ncbi.nlm.nih.gov/pubmed/37221234
http://dx.doi.org/10.1038/s41598-023-35282-6
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