On data reduction methods for volcanic tremor characterization: the 2012 eruption of Copahue volcano, Southern Andes
Improving the ability to detect and characterize long-duration volcanic tremor is crucial to understand the long-term dynamics and unrest of volcanic systems. We have applied data reduction methods (permutation entropy and polarization degree, among others) to characterize the seismic wave field nea...
| Autores: | , , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2020 |
| País: | Argentina |
| Institución: | Consejo Nacional de Investigaciones Científicas y Técnicas |
| Repositorio: | CONICET Digital (CONICET) |
| Idioma: | inglés |
| OAI Identifier: | oai:ri.conicet.gov.ar:11336/152705 |
| Acceso en línea: | http://hdl.handle.net/11336/152705 |
| Access Level: | acceso abierto |
| Palabra clave: | COPAHUE VOLCANO DATA REDUCTION METHOD PERMUTATION ENTROPY PHREATIC ERUPTION POLARIZATION DEGREE VOLCANIC TREMOR https://purl.org/becyt/ford/1.5 https://purl.org/becyt/ford/1 |
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oai:ri.conicet.gov.ar:11336/152705 |
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On data reduction methods for volcanic tremor characterization: the 2012 eruption of Copahue volcano, Southern Andes Fernandez Melchor, Ivan Almendros, Javier Carniel, Roberto Konstantinou, Kostas Hantusch, Marcia Caselli, Alberto Tomás COPAHUE VOLCANO DATA REDUCTION METHOD PERMUTATION ENTROPY PHREATIC ERUPTION POLARIZATION DEGREE VOLCANIC TREMOR https://purl.org/becyt/ford/1.5 https://purl.org/becyt/ford/1 Improving the ability to detect and characterize long-duration volcanic tremor is crucial to understand the long-term dynamics and unrest of volcanic systems. We have applied data reduction methods (permutation entropy and polarization degree, among others) to characterize the seismic wave field near Copahue volcano (Southern Andes) between June 2012 and January 2013, when phreatomagmatic episodes occurred. During the selected period, a total of 52 long-duration events with energy above the background occurred. Among them, 32 were classified as volcanic tremors and the remaining as noise bursts. Characterizing each event by averaging its reduced parameters, allowed us to study the range of variability of the different events types. We found that, compared to noise burst, tremors have lower permutation entropies and higher dominant polarization degrees. This characterization is a suitable tool for detecting long-duration volcanic tremors in the ambient seismic wave field, even if the SNR is low. Fil: Fernandez Melchor, Ivan. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigación en Paleobiología y Geología; Argentina. Universidad Nacional de Río Negro; Argentina Fil: Almendros, Javier. Universidad de Granada; España Fil: Carniel, Roberto. Universita Di Udine. Dipartimento Politecnico Di Ingenieria E Architettura.; Italia Fil: Konstantinou, Kostas. Department of Earth Sciences, National Central University; China Fil: Hantusch, Marcia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigación en Paleobiología y Geología; Argentina. Universidad Nacional de Río Negro; Argentina Fil: Caselli, Alberto Tomás. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigación en Paleobiología y Geología; Argentina. Universidad Nacional de Río Negro; Argentina Terra Scientific Publishing http://hdl.handle.net/11336/152705 Fernandez Melchor, Ivan; Almendros, Javier; Carniel, Roberto; Konstantinou, Kostas; Hantusch, Marcia; et al.; On data reduction methods for volcanic tremor characterization: the 2012 eruption of Copahue volcano, Southern Andes; Terra Scientific Publishing; Earth Planets And Space; 72; 1; 12-2020; 1-10 1343-8832 CONICET Digital CONICET |
| title |
On data reduction methods for volcanic tremor characterization: the 2012 eruption of Copahue volcano, Southern Andes |
| spellingShingle |
On data reduction methods for volcanic tremor characterization: the 2012 eruption of Copahue volcano, Southern Andes Fernandez Melchor, Ivan COPAHUE VOLCANO DATA REDUCTION METHOD PERMUTATION ENTROPY PHREATIC ERUPTION POLARIZATION DEGREE VOLCANIC TREMOR https://purl.org/becyt/ford/1.5 https://purl.org/becyt/ford/1 |
| title_short |
On data reduction methods for volcanic tremor characterization: the 2012 eruption of Copahue volcano, Southern Andes |
| title_full |
On data reduction methods for volcanic tremor characterization: the 2012 eruption of Copahue volcano, Southern Andes |
| title_fullStr |
On data reduction methods for volcanic tremor characterization: the 2012 eruption of Copahue volcano, Southern Andes |
| title_full_unstemmed |
On data reduction methods for volcanic tremor characterization: the 2012 eruption of Copahue volcano, Southern Andes |
| title_sort |
On data reduction methods for volcanic tremor characterization: the 2012 eruption of Copahue volcano, Southern Andes |
| author |
Fernandez Melchor, Ivan |
| author_facet |
Fernandez Melchor, Ivan Almendros, Javier Carniel, Roberto Konstantinou, Kostas Hantusch, Marcia Caselli, Alberto Tomás |
| author_role |
author |
| author2 |
Almendros, Javier Carniel, Roberto Konstantinou, Kostas Hantusch, Marcia Caselli, Alberto Tomás |
| author2_role |
author author author author author |
| topic |
COPAHUE VOLCANO DATA REDUCTION METHOD PERMUTATION ENTROPY PHREATIC ERUPTION POLARIZATION DEGREE VOLCANIC TREMOR https://purl.org/becyt/ford/1.5 https://purl.org/becyt/ford/1 |
| topic_facet |
COPAHUE VOLCANO DATA REDUCTION METHOD PERMUTATION ENTROPY PHREATIC ERUPTION POLARIZATION DEGREE VOLCANIC TREMOR https://purl.org/becyt/ford/1.5 https://purl.org/becyt/ford/1 |
| description |
Improving the ability to detect and characterize long-duration volcanic tremor is crucial to understand the long-term dynamics and unrest of volcanic systems. We have applied data reduction methods (permutation entropy and polarization degree, among others) to characterize the seismic wave field near Copahue volcano (Southern Andes) between June 2012 and January 2013, when phreatomagmatic episodes occurred. During the selected period, a total of 52 long-duration events with energy above the background occurred. Among them, 32 were classified as volcanic tremors and the remaining as noise bursts. Characterizing each event by averaging its reduced parameters, allowed us to study the range of variability of the different events types. We found that, compared to noise burst, tremors have lower permutation entropies and higher dominant polarization degrees. This characterization is a suitable tool for detecting long-duration volcanic tremors in the ambient seismic wave field, even if the SNR is low. |
| publishDate |
2020 |
| format |
article |
| status_str |
publishedVersion |
| url |
http://hdl.handle.net/11336/152705 |
| identifier_str_mv |
Fernandez Melchor, Ivan; Almendros, Javier; Carniel, Roberto; Konstantinou, Kostas; Hantusch, Marcia; et al.; On data reduction methods for volcanic tremor characterization: the 2012 eruption of Copahue volcano, Southern Andes; Terra Scientific Publishing; Earth Planets And Space; 72; 1; 12-2020; 1-10 1343-8832 CONICET Digital CONICET |
| language |
eng |
| eu_rights_str_mv |
openAccess |
| publisher |
Terra Scientific Publishing |
| institution |
Consejo Nacional de Investigaciones Científicas y Técnicas |
| collection |
CONICET Digital (CONICET) |
| reponame_str |
CONICET Digital (CONICET) |
| instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
| _version_ |
1878403123053068288 |
| publishDateSort |
2020 |
| author_browse |
Almendros, Javier Carniel, Roberto Caselli, Alberto Tomás Fernandez Melchor, Ivan Hantusch, Marcia Konstantinou, Kostas |
| publisherStr |
Terra Scientific Publishing |
| score |
6.8972664 |