Integrating ambient noise with GIS for a new perspective on volcano imaging and monitoring: The case study of Mt. Etna

Autores
Guardo, Roberto Antonino; De Siena, Luca
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión aceptada
Descripción
Fil: Guardo, Roberto Antonino. Universidad Nacional de Río Negro. Instituto de Investigación en Paleobiología y Geología. Río Negro; Argentina.
Fil: De Siena, Luca. University of Aberdeen. Aberdeen; Scotland
The timely estimation of short- and long-term volcanic hazard relies on the availability of detailed 3D geophysical images of volcanic structures. High-resolution seismic models of the absorbing uppermost conduit systems and highly-heterogeneous shallowest volcanic layers, while particularly challenging to obtain, provide important data to locate feasible eruptive centres and forecast flank collapses and lava ascending paths. Here, we model the volcanic structures of Mt. Etna (Sicily, Italy) and its outskirts using the Horizontal to Vertical Spectral Ratio method, generally applied to industrial and engineering settings. The integration of this technique with Web-based Geographic Information System improves precision during the acquisition phase. It also integrates geological and geophysical visualization of 3D surface and subsurface structures in a queryable environment representing their exact three-dimensional geographic position, enhancing interpretation. The results show high-resolution 3D images of the shallowest volcanic and feeding systems, which complement (1) deeper seismic tomography imaging and (2) the results of recent remote sensing imaging. The study recovers a vertical structure that divides the pre-existing volcanic complexes of Ellittico and Cuvigghiuni. This could be interpreted as a transitional phase between the two systems. A comparison with recent remote sensing and geological results, however, shows that anomalies are generally related to volcano-tectonic structures active during the last 17years. We infer that seismic noise measurements from miniaturized instruments, when combined with remote sensing techniques, represent an important resource to monitor volcanoes in unrest, reducing the risk of loss of human lives and instrumentation.
-
Materia
Ciencias Exactas y Naturales
Etna
Seismic imaging
Volcano imaging
Instrumental developments
GIS-based system
HVSR
Ciencias Exactas y Naturales
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
RID-UNRN (UNRN)
Institución
Universidad Nacional de Río Negro
OAI Identificador
oai:rid.unrn.edu.ar:20.500.12049/9347

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network_name_str RID-UNRN (UNRN)
spelling Integrating ambient noise with GIS for a new perspective on volcano imaging and monitoring: The case study of Mt. EtnaGuardo, Roberto AntoninoDe Siena, LucaCiencias Exactas y NaturalesEtnaSeismic imagingVolcano imagingInstrumental developmentsGIS-based systemHVSRCiencias Exactas y NaturalesFil: Guardo, Roberto Antonino. Universidad Nacional de Río Negro. Instituto de Investigación en Paleobiología y Geología. Río Negro; Argentina.Fil: De Siena, Luca. University of Aberdeen. Aberdeen; ScotlandThe timely estimation of short- and long-term volcanic hazard relies on the availability of detailed 3D geophysical images of volcanic structures. High-resolution seismic models of the absorbing uppermost conduit systems and highly-heterogeneous shallowest volcanic layers, while particularly challenging to obtain, provide important data to locate feasible eruptive centres and forecast flank collapses and lava ascending paths. Here, we model the volcanic structures of Mt. Etna (Sicily, Italy) and its outskirts using the Horizontal to Vertical Spectral Ratio method, generally applied to industrial and engineering settings. The integration of this technique with Web-based Geographic Information System improves precision during the acquisition phase. It also integrates geological and geophysical visualization of 3D surface and subsurface structures in a queryable environment representing their exact three-dimensional geographic position, enhancing interpretation. The results show high-resolution 3D images of the shallowest volcanic and feeding systems, which complement (1) deeper seismic tomography imaging and (2) the results of recent remote sensing imaging. The study recovers a vertical structure that divides the pre-existing volcanic complexes of Ellittico and Cuvigghiuni. This could be interpreted as a transitional phase between the two systems. A comparison with recent remote sensing and geological results, however, shows that anomalies are generally related to volcano-tectonic structures active during the last 17years. We infer that seismic noise measurements from miniaturized instruments, when combined with remote sensing techniques, represent an important resource to monitor volcanoes in unrest, reducing the risk of loss of human lives and instrumentation.-ScienceDirect2017-11-15info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfR. Guardo and L. De Siena (2017) Integrating ambient noise with GIS for a new perspective on volcano imaging and monitoring: The case study of Mt. Etna, Journal of Volcanology and Geothermal Research; 347; 397-407.0377-0273https://www.sciencedirect.com/science/article/pii/S0377027317300756?via%3Dihubhttp://rid.unrn.edu.ar/handle/20.500.12049/9347https://doi.org/10.1016/j.jvolgeores.2017.10.007enghttps://www.sciencedirect.com/journal/journal-of-volcanology-and-geothermal-research347Journal of Volcanology and Geothermal Researchinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/4.0/reponame:RID-UNRN (UNRN)instname:Universidad Nacional de Río Negro2025-09-29T14:29:13Zoai:rid.unrn.edu.ar:20.500.12049/9347instacron:UNRNInstitucionalhttps://rid.unrn.edu.ar/jspui/Universidad públicaNo correspondehttps://rid.unrn.edu.ar/oai/snrdrid@unrn.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:43692025-09-29 14:29:13.918RID-UNRN (UNRN) - Universidad Nacional de Río Negrofalse
dc.title.none.fl_str_mv Integrating ambient noise with GIS for a new perspective on volcano imaging and monitoring: The case study of Mt. Etna
title Integrating ambient noise with GIS for a new perspective on volcano imaging and monitoring: The case study of Mt. Etna
spellingShingle Integrating ambient noise with GIS for a new perspective on volcano imaging and monitoring: The case study of Mt. Etna
Guardo, Roberto Antonino
Ciencias Exactas y Naturales
Etna
Seismic imaging
Volcano imaging
Instrumental developments
GIS-based system
HVSR
Ciencias Exactas y Naturales
title_short Integrating ambient noise with GIS for a new perspective on volcano imaging and monitoring: The case study of Mt. Etna
title_full Integrating ambient noise with GIS for a new perspective on volcano imaging and monitoring: The case study of Mt. Etna
title_fullStr Integrating ambient noise with GIS for a new perspective on volcano imaging and monitoring: The case study of Mt. Etna
title_full_unstemmed Integrating ambient noise with GIS for a new perspective on volcano imaging and monitoring: The case study of Mt. Etna
title_sort Integrating ambient noise with GIS for a new perspective on volcano imaging and monitoring: The case study of Mt. Etna
dc.creator.none.fl_str_mv Guardo, Roberto Antonino
De Siena, Luca
author Guardo, Roberto Antonino
author_facet Guardo, Roberto Antonino
De Siena, Luca
author_role author
author2 De Siena, Luca
author2_role author
dc.subject.none.fl_str_mv Ciencias Exactas y Naturales
Etna
Seismic imaging
Volcano imaging
Instrumental developments
GIS-based system
HVSR
Ciencias Exactas y Naturales
topic Ciencias Exactas y Naturales
Etna
Seismic imaging
Volcano imaging
Instrumental developments
GIS-based system
HVSR
Ciencias Exactas y Naturales
dc.description.none.fl_txt_mv Fil: Guardo, Roberto Antonino. Universidad Nacional de Río Negro. Instituto de Investigación en Paleobiología y Geología. Río Negro; Argentina.
Fil: De Siena, Luca. University of Aberdeen. Aberdeen; Scotland
The timely estimation of short- and long-term volcanic hazard relies on the availability of detailed 3D geophysical images of volcanic structures. High-resolution seismic models of the absorbing uppermost conduit systems and highly-heterogeneous shallowest volcanic layers, while particularly challenging to obtain, provide important data to locate feasible eruptive centres and forecast flank collapses and lava ascending paths. Here, we model the volcanic structures of Mt. Etna (Sicily, Italy) and its outskirts using the Horizontal to Vertical Spectral Ratio method, generally applied to industrial and engineering settings. The integration of this technique with Web-based Geographic Information System improves precision during the acquisition phase. It also integrates geological and geophysical visualization of 3D surface and subsurface structures in a queryable environment representing their exact three-dimensional geographic position, enhancing interpretation. The results show high-resolution 3D images of the shallowest volcanic and feeding systems, which complement (1) deeper seismic tomography imaging and (2) the results of recent remote sensing imaging. The study recovers a vertical structure that divides the pre-existing volcanic complexes of Ellittico and Cuvigghiuni. This could be interpreted as a transitional phase between the two systems. A comparison with recent remote sensing and geological results, however, shows that anomalies are generally related to volcano-tectonic structures active during the last 17years. We infer that seismic noise measurements from miniaturized instruments, when combined with remote sensing techniques, represent an important resource to monitor volcanoes in unrest, reducing the risk of loss of human lives and instrumentation.
-
description Fil: Guardo, Roberto Antonino. Universidad Nacional de Río Negro. Instituto de Investigación en Paleobiología y Geología. Río Negro; Argentina.
publishDate 2017
dc.date.none.fl_str_mv 2017-11-15
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv R. Guardo and L. De Siena (2017) Integrating ambient noise with GIS for a new perspective on volcano imaging and monitoring: The case study of Mt. Etna, Journal of Volcanology and Geothermal Research; 347; 397-407.
0377-0273
https://www.sciencedirect.com/science/article/pii/S0377027317300756?via%3Dihub
http://rid.unrn.edu.ar/handle/20.500.12049/9347
https://doi.org/10.1016/j.jvolgeores.2017.10.007
identifier_str_mv R. Guardo and L. De Siena (2017) Integrating ambient noise with GIS for a new perspective on volcano imaging and monitoring: The case study of Mt. Etna, Journal of Volcanology and Geothermal Research; 347; 397-407.
0377-0273
url https://www.sciencedirect.com/science/article/pii/S0377027317300756?via%3Dihub
http://rid.unrn.edu.ar/handle/20.500.12049/9347
https://doi.org/10.1016/j.jvolgeores.2017.10.007
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://www.sciencedirect.com/journal/journal-of-volcanology-and-geothermal-research
347
Journal of Volcanology and Geothermal Research
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/4.0/
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv ScienceDirect
publisher.none.fl_str_mv ScienceDirect
dc.source.none.fl_str_mv reponame:RID-UNRN (UNRN)
instname:Universidad Nacional de Río Negro
reponame_str RID-UNRN (UNRN)
collection RID-UNRN (UNRN)
instname_str Universidad Nacional de Río Negro
repository.name.fl_str_mv RID-UNRN (UNRN) - Universidad Nacional de Río Negro
repository.mail.fl_str_mv rid@unrn.edu.ar
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