uncertainty in detection of volcanic activity using infrasound arrays: examples from mt. etna, italy

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ID: 135544
2020
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Abstract
The injection of gas and pyroclastic material from volcanic vents into the atmosphere is a prolific source of acoustic waves. Infrasound arrays offer efficient, cost-effective, and near real-time solutions to track the rate and intensity of surface activity at volcanoes. Here, we present a simple framework for the analysis of acoustic array data, based on least-squares beamforming, that allows to evaluate the direction and speed of propagation of acoustic waves between source and array. The algorithms include a new and computationally efficient approach for quantitative assessment of the uncertainty on array measurements based on error propagation theory. We apply the algorithms to new data collected by two 6-element infrasound arrays deployed at Mt. Etna during the period July–August 2019. Our results demonstrate that the use of two infrasound arrays allowed detecting and tracking acoustic sources from multiple craters and active vents associated with degassing and ash-rich explosions, vigorous and frequent Strombolian activity, opening of new eruptive fractures and emplacement of lava flows. Finally, we discuss the potential use of metrics based on infrasound array analyses to inform eruption monitoring operations and early warning at volcanoes characterized by episodic intensification of activity.
Reference Key
angelis2020frontiersuncertainty Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Silvio De Angelis;Matthew M. Haney;John J. Lyons;Aaron Wech;David Fee;Alejandro Diaz-Moreno;Luciano Zuccarello;Luciano Zuccarello
Journal ratio juris
Year 2020
DOI
10.3389/feart.2020.00169
URL
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