@misc{10481/63965,
year = {2020},
month = {9},
url = {http://hdl.handle.net/10481/63965},
abstract = {Improving the ability to detect and characterize long-duration volcanic tremor is crucial to understand the longterm
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.},
organization = {Project BRAVOSEIS of the Spanish Ministry of Science 	
CTM2016.77315},
organization = {National University of Rio Negro 	
PI40-A-548},
publisher = {Springer},
keywords = {Volcanic tremor},
keywords = {Phreatic eruption},
keywords = {Data reduction method},
keywords = {Polarization degree},
keywords = {Permutation entropy},
keywords = {Copahue volcano},
title = {On data reduction methods for volcanic tremor characterization: the 2012 eruption of Copahue volcano, Southern Andes},
doi = {10.1186/s40623-020-01270-7},
author = {Melchor, Iván and Almendros González, Francisco Javier and Carniel, Roberto and Konstantinou, Kostas I. and Hantusch, Marcia and Caselli, Alberto},
}