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DOI | 10.1029/2020GL089419 |
Mechanical Imaging of a Volcano Plumbing System From GNSS Unsupervised Modeling | |
Beauducel F.; Peltier A.; Villié A.; Suryanto W. | |
发表日期 | 2020 |
ISSN | 0094-8276 |
卷号 | 47期号:17 |
英文摘要 | Identification of internal structures in an active volcano is mandatory to quantify the physical processes preceding eruptions. We propose a fully unsupervised Bayesian inversion method that uses the point compound dislocation model as a complex source of deformation, to dynamically identify the substructures activated during magma migration. We applied this method at Piton de la Fournaise. Using 7-day moving trends of Global Navigation Satellite System (GNSS) data preceding the June 2014 eruption, we compute a total of 15 inversion models of 2.5 million forward problems each, without a priori information. Obtained source shapes (dikes, prolate ellipsoids, or pipes) show magma migration from 7–8 km depth to the surface, drawing a mechanical “tomography” of the magma pathway. Our results also suggest source geometries compatible with observed eruptive fissures and seismicity distribution. In case of finite magma volume involved in final dike injection, source volume estimates from this method allow forecasting volumes of erupted lava. ©2020. The Authors. |
英文关键词 | Hydraulic structures; Levees; Volcanoes; Bayesian inversion; Dislocation modeling; Global Navigation Satellite Systems; Internal structure; Inversion models; Mechanical imaging; Piton de La Fournaise; Priori information; Global positioning system; Bayesian analysis; estimation method; fissure; GNSS; satellite data; seismicity; tomography; volcanic eruption; Mascarene Islands; Piton de la Fournaise; Reunion |
语种 | 英语 |
来源期刊 | Geophysical Research Letters
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/169805 |
作者单位 | Institut de physique du globe de Paris, Université de Paris, CNRS, Paris, France; Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, IRD, IFSTTAR, ISTerre, Grenoble, France; Observatoire Volcanologique du Piton de la Fournaise, IPGP, La Réunion, France; Laboratoire de biométrie et biologie évolutive, CNRS UMR, Villeurbanne, France; Geophysics Research Group, Universitas Gadjah Mada, Yogyakarta, Indonesia |
推荐引用方式 GB/T 7714 | Beauducel F.,Peltier A.,Villié A.,et al. Mechanical Imaging of a Volcano Plumbing System From GNSS Unsupervised Modeling[J],2020,47(17). |
APA | Beauducel F.,Peltier A.,Villié A.,&Suryanto W..(2020).Mechanical Imaging of a Volcano Plumbing System From GNSS Unsupervised Modeling.Geophysical Research Letters,47(17). |
MLA | Beauducel F.,et al."Mechanical Imaging of a Volcano Plumbing System From GNSS Unsupervised Modeling".Geophysical Research Letters 47.17(2020). |
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