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

Earth, Planets and Space

Kostas I. Konstantinou¹  Roberto Carniel²  Javier Almendros³  Ivan Melchor⁴  Marcia Hantusch⁴  Alberto Caselli⁴ 

[1] Department of Earth Sciences, National Central University, Jhongli, Taiwan;Dipartimento Politecnico di Ingegneria e Architettura, Università degli Studi di Udine, Udine, Friuli, Italy;Instituto Andaluz de Geofísica, Universidad de Granada, Granada, Spain;Instituto de Investigación en Paleobiología y Geología, Universidad Nacional de Río Negro–CONICET, General Roca, Río Negro, Argentina;

关键词: Volcanic tremor;    Phreatic eruption;    Data reduction method;    Polarization degree;    Permutation entropy;    Copahue volcano;   

DOI  :  10.1186/s40623-020-01270-7

来源: Springer

【 摘 要 】

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.

【 授权许可】

CC BY