On data reduction methods for volcanic tremor characterization: the 2012 eruption of Copahue volcano, Southern Andes

Ivan Melchor, Javier Almendros, Roberto Carniel, Kostas I. Konstantinou, Marcia Hantusch, Alberto Caselli

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

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.[Figure not available: see fulltext.]

Original languageEnglish
Article number134
JournalEarth, Planets and Space
Volume72
Issue number1
DOIs
StatePublished - 1 Dec 2020

Keywords

  • Copahue volcano
  • Data reduction method
  • Permutation entropy
  • Phreatic eruption
  • Polarization degree
  • Volcanic tremor

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