Mt. Etna feeding system: a new 3D image constrained by earthquakes distribution and 3D modeling analysis in a customizable GIS.

dc.creatorGuardo, Roberto Antonino
dc.creatorColubri, Andres
dc.creatorDe Siena, Luca
dc.creatorDreidemie, Carola
dc.date2018-04
dc.date.accessioned2023-08-30T16:34:54Z
dc.date.available2023-08-30T16:34:54Z
dc.identifierhttp://rid.unrn.edu.ar/handle/20.500.12049/9953
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8532585
dc.descriptionFil: Guardo, Roberto. Universidad Nacional de Rio Negro, Instituto de Investigación en Paleobiología y Geología. Rio Negro, Argentina
dc.descriptionFil: Colubri, Andres. Broad Institute of Harvard and MIT, Cambridge, MA. USA
dc.descriptionFil: De Siena, Luca. University of Aberdeeb, School of Geosciences, Dept. Geology and Petroleum Geology, Meston Building, King's College, Aberdeen AB24 3UE Scotland, UK
dc.descriptionFil: Dreidemie, Carola. Universidad Nacional de Rio Negro. Laboratorio de Investigación y Desarrollo en Tecnologías de Visualización, Computación Gráfica y Código Creativo. Rio Negro, Argentina
dc.descriptionImaging 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.
dc.formatapplication/pdf
dc.languageen
dc.relationhttps://www.egu2018.eu/
dc.relationEGU European Geosciences Union General Assembly 2018
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/4.0/
dc.subjectCiencias Exactas y Naturales
dc.subjectHumanidades
dc.subjectIngeniería, Ciencia y Tecnología
dc.subjectMODELLING
dc.subjectGIS
dc.subjectETNA
dc.subjectCiencias Exactas y Naturales
dc.subjectHumanidades
dc.subjectIngeniería, Ciencia y Tecnología
dc.titleMt. Etna feeding system: a new 3D image constrained by earthquakes distribution and 3D modeling analysis in a customizable GIS.


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