Finding possible precursors for the 2015 Cotopaxi Volcano eruption using unsupervised machine learning techniques

dc.careerEscuela de Ciencias Biológicases
dc.category.authorprincipalen_US
dc.contributor.authorAnzieta Reyes, Juan Camilo
dc.contributor.authorOrtiz Erazo, Hugo David
dc.contributor.correspondingOrtiz Erazo, Hugo David
dc.countryEcuadores
dc.date.accessioned2023-11-04T21:48:25Z
dc.date.available2023-11-04T21:48:25Z
dc.date.issued2019
dc.dedication.authorTCes
dc.description.abstractCotopaxi Volcano showed an increased activity since April 2015 and evolved into its eventual mild eruption in August 2015. In this work we use records from a broadband seismic station located at less than 4 km from the vent that encompass data from April to December of 2015, to detect and study low-frequency seismic events. We applied unsupervised learning schemes to group and identify possible premonitory low-frequency seismic families. To find these families we applied a two-stage process in which the events were first separated by their frequency content by applying the k-means algorithm to the spectral density vector of the signals and then were further separated by their waveform by applying Correntropy and Dynamic Time Warping. As a result, we found a particular family related to the volcano’s state of activity by exploring its time distribution and estimating its events’ locations.en_US
dc.facultyCiencias Exactas y Naturaleses
dc.id.author0103024782
dc.id.author1002969929
dc.id.type1
dc.identifier.doihttps://doi.org/10.1155/2019/6526898
dc.identifier.issn1687-8868
dc.identifier.urihttps://repositorio.puce.edu.ec/handle/123456789/6238
dc.identifier.urihttps://www.hindawi.com/journals/ijge/2019/6526898/
dc.indexed.databaseScimago Journal Rankes
dc.language.isoen
dc.list.authorsAnzieta, J., Ortiz, H., Arias, G., Ruiz, M.
dc.magazine.pageRange1-8
dc.magazine.titleInternational Journal of Geophysicsen_US
dc.magazine.volumeChapter2019(2)
dc.rightsOpenAccessen
dc.statepublisheden_US
dc.subjectErupciones volcánicases
dc.subjectGeodinámicaes
dc.subjectErupciones volcánicas
dc.subjectGeodinámica
dc.titleFinding possible precursors for the 2015 Cotopaxi Volcano eruption using unsupervised machine learning techniquesen_US
Files
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Plain Text
Description: