Finding possible precursors for the 2015 Cotopaxi Volcano eruption using unsupervised machine learning techniques
| dc.career | Escuela de Ciencias Biológicas | es |
| dc.category.author | principal | es |
| dc.contributor.author | Anzieta Reyes, Juan Camilo | |
| dc.contributor.author | Ortiz Erazo, Hugo David | |
| dc.contributor.corresponding | Ortiz Erazo, Hugo David | es |
| dc.country | Ecuador | es |
| dc.date.accessioned | 2023-11-04T21:48:25Z | |
| dc.date.available | 2023-11-04T21:48:25Z | |
| dc.date.issued | 2019 | |
| dc.dedication.author | TC | es |
| dc.description.abstract | Cotopaxi 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. | es |
| dc.faculty | Ciencias Exactas y Naturales | es |
| dc.id.author | 0103024782 | es |
| dc.id.author | 1002969929 | es |
| dc.id.type | 1 | es |
| dc.identifier.doi | https://doi.org/10.1155/2019/6526898 | es |
| dc.identifier.issn | 1687-8868 | |
| dc.identifier.uri | https://www.hindawi.com/journals/ijge/2019/6526898/ | es |
| dc.identifier.uri | https://repositorio.puce.edu.ec/handle/123456789/6238 | |
| dc.indexed.database | Scimago Journal Rank | es |
| dc.list.authors | Anzieta, J., Ortiz, H., Arias, G., Ruiz, M. | es |
| dc.magazine.pageRange | 1-8 | es |
| dc.magazine.title | International Journal of Geophysics | es |
| dc.magazine.volumeChapter | 2019(2) | es |
| dc.rights | OpenAccess | es |
| dc.state | published | es |
| dc.subject | Erupciones volcánicas | es |
| dc.subject | Geodinámica | es |
| dc.title | Finding possible precursors for the 2015 Cotopaxi Volcano eruption using unsupervised machine learning techniques | es |
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