Non-supervised classification of volcanic-seismic events for tungurahua-volcano ecuador

Abstract:

In this paper we propose the use of self-organizing maps and archetypal analysis as an method of unsupervised classification of seismic signals. Using this method we analyzed the record of seismic events for Tungurahua-Volcano (Ecuador) for the year 2014, obtained by a permanent geophysical station from Instituto Geofísico EPN located at the volcano. In standard volcanic monitoring procedures there exists a classification for seismic events performed in a supervised manner (a human being assigns a class to each event based on perception and some fixed criteria). However, even if this classification yields some information on the possible ongoing volcanic processes inside a volcano, it is not determinant when used as a method to pbkp_redict an actual volcanic eruption. The method proposed in this paper has several advantages over supervised classification by human or based on human classification of …

Año de publicación:

2017

Keywords:

Fuente:

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