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  5. Detecting multiscale periodicity from the secular effusive activity at Santiaguito lava dome complex (Guatemala)
 
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Detecting multiscale periodicity from the secular effusive activity at Santiaguito lava dome complex (Guatemala)

Author(s)
Massaro, Silvia  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Bologna, Bologna, Italia  
Costa, Antonio  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Bologna, Bologna, Italia  
Sulpizio, Roberto  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Bologna, Bologna, Italia  
Coppola, Diego  
Soloviev, Anatoly  
Language
English
Obiettivo Specifico
5V. Processi eruttivi e post-eruttivi
Status
Published
JCR Journal
JCR Journal
Journal
Earth Planets and Space  
Issue/vol(year)
/74 (2022)
ISSN
1880-5981
Publisher
Springer
Pages (printed)
107
Date Issued
2022
DOI
10.1186/s40623-022-01658-7
URI
https://www.earth-prints.org/handle/2122/15839
Abstract
Santiaguito, Guatemala, represents one of the best cases of active lava dome complex in the world, producing lava flow effusion, weak explosive activity, and cycles of lava dome extrusion over varying timescales. Since the inception in 1922, it has shown a remarkable constant eruptive activity, characterized by effusion of blocky domes and lava flows punctuated by moderate explosions of gas-and-ash and pyroclastic flows. In this study, we reconstruct the time evolution of discharge rates of Santiaguito across one entire century, from 1922 to 2021, combining, for the more recent activity, new satellite thermal data. By using discrete Fourier transform (DFT) and Morlet wavelet analyses, we identify three fundamental periodicities in subsets of the 1922–2021 time-series: (i) long term (ca. 10 years), (ii) intermediate term (ca. 3.5 years), and (iii) short term (from ca. 1 year to ca. 3 months), which are comparable with those observed at other lava dome eruptions at calc-alkaline volcanoes. Such inferred periodicities provide a powerful tool for the interpretation of the non-linear eruptive behaviour and represent a pivotal benchmark for numerical modelling aimed to reconstruct the dynamics of the magma feeding system based on a time-averaged discharge rate dataset.
Type
article
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