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A 3D geological model of a structurally complex Alpine region as a basis for interdisciplinary research

Certain applications, such as understanding the influence of bedrock geology on hydrology in complex mountainous settings, demand 3D geological models that are detailed, high-resolution, accurate, and spatially-extensive. However, developing models with these characteristics remains challenging. Her...

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Autores principales: Thornton, James M., Mariethoz, Gregoire, Brunner, Philip
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6207069/
https://www.ncbi.nlm.nih.gov/pubmed/30375991
http://dx.doi.org/10.1038/sdata.2018.238
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author Thornton, James M.
Mariethoz, Gregoire
Brunner, Philip
author_facet Thornton, James M.
Mariethoz, Gregoire
Brunner, Philip
author_sort Thornton, James M.
collection PubMed
description Certain applications, such as understanding the influence of bedrock geology on hydrology in complex mountainous settings, demand 3D geological models that are detailed, high-resolution, accurate, and spatially-extensive. However, developing models with these characteristics remains challenging. Here, we present a dataset corresponding to a renowned tectonic entity in the Swiss Alps - the Nappe de Morcles - that does achieve these criteria. Locations of lithological interfaces and formation orientations were first extracted from existing sources. Then, using state-of-the-art algorithms, the interfaces were interpolated. Finally, an iterative process of evaluation and re-interpolation was undertaken. The geology was satisfactorily reproduced; modelled interfaces correspond well with the input data, and the estimated volumes seem plausible. Overall, 18 formations, including their associated secondary folds and selected faults, are represented at 10 m resolution. Numerous environmental investigations in the study area could benefit from the dataset; indeed, it is already informing integrated hydrological (snow/surface-water/groundwater) simulations. Our work demonstrates the potential that now exists to develop complex, high-quality geological models in support of contemporary Alpine research, augmenting traditional geological information in the process.
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spelling pubmed-62070692018-11-06 A 3D geological model of a structurally complex Alpine region as a basis for interdisciplinary research Thornton, James M. Mariethoz, Gregoire Brunner, Philip Sci Data Data Descriptor Certain applications, such as understanding the influence of bedrock geology on hydrology in complex mountainous settings, demand 3D geological models that are detailed, high-resolution, accurate, and spatially-extensive. However, developing models with these characteristics remains challenging. Here, we present a dataset corresponding to a renowned tectonic entity in the Swiss Alps - the Nappe de Morcles - that does achieve these criteria. Locations of lithological interfaces and formation orientations were first extracted from existing sources. Then, using state-of-the-art algorithms, the interfaces were interpolated. Finally, an iterative process of evaluation and re-interpolation was undertaken. The geology was satisfactorily reproduced; modelled interfaces correspond well with the input data, and the estimated volumes seem plausible. Overall, 18 formations, including their associated secondary folds and selected faults, are represented at 10 m resolution. Numerous environmental investigations in the study area could benefit from the dataset; indeed, it is already informing integrated hydrological (snow/surface-water/groundwater) simulations. Our work demonstrates the potential that now exists to develop complex, high-quality geological models in support of contemporary Alpine research, augmenting traditional geological information in the process. Nature Publishing Group 2018-10-30 /pmc/articles/PMC6207069/ /pubmed/30375991 http://dx.doi.org/10.1038/sdata.2018.238 Text en Copyright © 2018, The Author(s) http://creativecommons.org/licenses/by/4.0/ Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article.
spellingShingle Data Descriptor
Thornton, James M.
Mariethoz, Gregoire
Brunner, Philip
A 3D geological model of a structurally complex Alpine region as a basis for interdisciplinary research
title A 3D geological model of a structurally complex Alpine region as a basis for interdisciplinary research
title_full A 3D geological model of a structurally complex Alpine region as a basis for interdisciplinary research
title_fullStr A 3D geological model of a structurally complex Alpine region as a basis for interdisciplinary research
title_full_unstemmed A 3D geological model of a structurally complex Alpine region as a basis for interdisciplinary research
title_short A 3D geological model of a structurally complex Alpine region as a basis for interdisciplinary research
title_sort 3d geological model of a structurally complex alpine region as a basis for interdisciplinary research
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6207069/
https://www.ncbi.nlm.nih.gov/pubmed/30375991
http://dx.doi.org/10.1038/sdata.2018.238
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