Skip navigation
Por favor, use este identificador para citar o enlazar este ítem: http://rid.unrn.edu.ar/handle/20.500.12049/9953

Título: Mt. Etna feeding system: a new 3D image constrained by earthquakes distribution and 3D modeling analysis in a customizable GIS.
Autor(es): Guardo, Roberto Antonino
Colubri, Andres
De Siena, Luca
Dreidemie, Carola
Fecha de publicación: abr-2018
Revista: EGU European Geosciences Union General Assembly 2018
Resumen: Imaging the interior of a volcano is crucial step to model its dynamics and develop an efficient eruption forecasting strategy. High-resolution seismic image models of the interior of the volcanoes, usually based on tomographic methods, make possible to image the shape and locate possible lava ascending paths, shallow magma chambers and areas of flank collapse. Here, we model the lava ascending path and feeding systems of Mt. Etna (Sicily, Italy) using the Marching Cubes algorithm (MC), usually applied to medical visualization and 3D modelling, combined with 16 years of earthquake localization data. The analysis in the framework of a novel volcano-oriented GIS environment (VolGIS) offers the possibility to develop numerical tridimensional model improving the interpretation thanks to both the high visualization resolution and the known exact geolocalization. The results show a high-resolution 3D model of the feeding system of Mt. Etna, interpreted as a ductile realm surrounded by a fragile one. In particular, the model: (1) highlights the plumbing system in a depth span between 1 km and 6 km b.s.l., increasing the detail of structures previous imaged by deep seismic tomography; (2) suggest new evidence behind the eastern flank instability; and (3) it is compatible with published models of the conduit structure. We infer that the Marching Cubes algorithm, applied to those volcanoes with high seismicity, may improve considerably the ability of the user to obtain a preliminary imaging of the main feeding system reducing time cost and elping interpretation on common seismic tomography.
URI: http://rid.unrn.edu.ar/handle/20.500.12049/9953
Aparece en las colecciones: Objetos de conferencia

Archivos en este ítem:
Archivo Descripción Tamaño Formato  
EGU2018-188-1 copy.pdfGeophysical Research Abstracts. Vol. 20, EGU2018-188-1, 2018 EGU General Assembly 2018 © Author(s) 2017. CC Attribution 4.0 license.37,86 kBAdobe PDFVisualizar/Abrir

Este documento es resultado del financiamiento otorgado por el Estado Nacional, por lo tanto queda sujeto al cumplimiento de la Ley N° 26.899


Este ítem está sujeto a una licencia Creative Commons Licencia Creative Commons Creative Commons