TY - JOUR
T1 - VOLCANO INFRASOUND: PROGRESS AND FUTURE DIRECTIONS
T2 - progress and future directions
AU - Watson, Leighton M.
AU - Iezzi, Alexandra M.
AU - Toney, Liam
AU - Maher, Sean P.
AU - Fee, David
AU - McKee, Kathleen
AU - Ortiz, Hugo D.
AU - Matoza, Robin S.
AU - Gestrich, Julia E.
AU - Bishop, Jordan W.
AU - Witsil, Alex J.C.
AU - Anderson, Jacob F.
AU - Johnson, Jeffrey B.
N1 - Publisher Copyright:
© 2022, The Author(s).
PY - 2022/4/5
Y1 - 2022/4/5
N2 - Over the past two decades (2000–2020), volcano infrasound (acoustic waves with frequencies less than 20 Hz propagating in the atmosphere) has evolved from an area of academic research to a useful monitoring tool. As a result, infrasound is routinely used by volcano observatories around the world to detect, locate, and characterize volcanic activity. It is particularly useful in confirming subaerial activity and monitoring remote eruptions, and it has shown promise in forecasting paroxysmal activity at open-vent systems. Fundamental research on volcano infrasound is providing substantial new insights on eruption dynamics and volcanic processes and will continue to do so over the next decade. The increased availability of infrasound sensors will expand observations of varied eruption styles, and the associated increase in data volume will make machine learning workflows more feasible. More sophisticated modeling will be applied to examine infrasound source and propagation effects from local to global distances, leading to improved infrasound-derived estimates of eruption properties. Future work will use infrasound to detect, locate, and characterize moving flows, such as pyroclastic density currents, lahars, rockfalls, lava flows, and avalanches. Infrasound observations will be further integrated with other data streams, such as seismic, ground- and satellite-based thermal and visual imagery, geodetic, lightning, and gas data. The volcano infrasound community should continue efforts to make data and codes accessible and to improve diversity, equity, and inclusion in the field. In summary, the next decade of volcano infrasound research will continue to advance our understanding of complex volcano processes through increased data availability, sensor technologies, enhanced modeling capabilities, and novel data analysis methods that will improve hazard detection and mitigation.
AB - Over the past two decades (2000–2020), volcano infrasound (acoustic waves with frequencies less than 20 Hz propagating in the atmosphere) has evolved from an area of academic research to a useful monitoring tool. As a result, infrasound is routinely used by volcano observatories around the world to detect, locate, and characterize volcanic activity. It is particularly useful in confirming subaerial activity and monitoring remote eruptions, and it has shown promise in forecasting paroxysmal activity at open-vent systems. Fundamental research on volcano infrasound is providing substantial new insights on eruption dynamics and volcanic processes and will continue to do so over the next decade. The increased availability of infrasound sensors will expand observations of varied eruption styles, and the associated increase in data volume will make machine learning workflows more feasible. More sophisticated modeling will be applied to examine infrasound source and propagation effects from local to global distances, leading to improved infrasound-derived estimates of eruption properties. Future work will use infrasound to detect, locate, and characterize moving flows, such as pyroclastic density currents, lahars, rockfalls, lava flows, and avalanches. Infrasound observations will be further integrated with other data streams, such as seismic, ground- and satellite-based thermal and visual imagery, geodetic, lightning, and gas data. The volcano infrasound community should continue efforts to make data and codes accessible and to improve diversity, equity, and inclusion in the field. In summary, the next decade of volcano infrasound research will continue to advance our understanding of complex volcano processes through increased data availability, sensor technologies, enhanced modeling capabilities, and novel data analysis methods that will improve hazard detection and mitigation.
KW - Acoustics
KW - Diversity
KW - Equity
KW - Inclusion
KW - Machine learning
KW - Source and propagation modeling
KW - Volcano infrasound
KW - Volcano monitoring
UR - http://www.scopus.com/inward/record.url?scp=85127610922&partnerID=8YFLogxK
U2 - 10.1007/s00445-022-01544-w
DO - 10.1007/s00445-022-01544-w
M3 - Article
AN - SCOPUS:85127610922
SN - 0258-8900
VL - 84
JO - Bulletin of Volcanology
JF - Bulletin of Volcanology
IS - 5
M1 - 44
ER -