Recent Developments and Applications of Acoustic Infrasound to Monitor Volcanic Emissions
Metadatos
Afficher la notice complèteEditorial
Remote Sensing
Materia
acoustic infrasound volcanic emissions ground-based remote sensing
Date
2019-05-31Referencia bibliográfica
De Angelis, S., Diaz-Moreno, A., & Zuccarello, L. (2019). Recent Developments and Applications of Acoustic Infrasound to Monitor Volcanic Emissions. Remote Sensing, 11(11), 1302.
Patrocinador
Silvio De Angelis and Alejandro Diaz-Moreno are funded by NERC grant number NE/P00105X/1. Luciano Zuccarello has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 798480.Résumé
Volcanic ash is a well-known hazard to population, infrastructure, and commercial and
civil aviation. Early assessment of the parameters that control the development and evolution of
volcanic plumes is crucial to effective risk mitigation. Acoustic infrasound is a ground-based remote
sensing technique—increasingly popular in the past two decades—that allows rapid estimates of
eruption source parameters, including fluid flow velocities and volume flow rates of erupted material.
The rate at which material is ejected from volcanic vents during eruptions, is one of the main inputs
into models of atmospheric ash transport used to dispatch aviation warnings during eruptive crises.
During explosive activity at volcanoes, the injection of hot gas-laden pyroclasts into the atmosphere
generates acoustic waves that are recorded at local, regional and global scale. Within the framework of
linear acoustic theory, infrasound sources can be modelled as multipole series, and acoustic pressure
waveforms can be inverted to obtain the time history of volume flow at the vent. Here, we review
near-field (<10 km from the vent) linear acoustic wave theory and its applications to the assessment
of eruption source parameters. We evaluate recent advances in volcano infrasound modelling and
inversion, and comment on the advantages and current limitations of these methods. We review
published case studies from different volcanoes and show applications to new data that provide a
benchmark for future acoustic infrasound studies.