2018
DOI: 10.1029/2018jb015561
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Infrasonic Early Warning System for Explosive Eruptions

Abstract: Explosive volcanic eruptions can eject large amounts of ash into the atmosphere, posing a serious threat to populations living near the volcano. The abrupt occurrence of such events requires a rapid response and proper volcanic hazard evaluation. Current monitoring procedures still require human intervention, which often results in significant delays between the occurrence of an eruption and notifications being dispatched. We show how dedicated infrasound array processing can be used to detect and notify the a… Show more

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Cited by 76 publications
(94 citation statements)
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References 42 publications
(72 reference statements)
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“…The 1991 and 2000 eruptions of Hekla were preceded by~30 min of recognizable seismicity and strain change, and in 2000 the observations from 1991 made it possible to recognize the signs of rapid magma ascent and impending eruption (Linde et al, 1993;Sturkell et al, 2006). Similar short-term warnings of explosive eruptions can be achieved using infrasound, as at Villarica, Chile (Johnson, Watson, et al, 2018); the method has also been implemented as an early-warning system with an outstanding success rate at Etna (Ripepe et al, 2018). There is also evidence that eruption locations might be forecast on the basis of patterns in deformation data (Guldstrand et al, 2018).…”
Section: Pattern Recognition: Qualitative Approachesmentioning
confidence: 97%
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“…The 1991 and 2000 eruptions of Hekla were preceded by~30 min of recognizable seismicity and strain change, and in 2000 the observations from 1991 made it possible to recognize the signs of rapid magma ascent and impending eruption (Linde et al, 1993;Sturkell et al, 2006). Similar short-term warnings of explosive eruptions can be achieved using infrasound, as at Villarica, Chile (Johnson, Watson, et al, 2018); the method has also been implemented as an early-warning system with an outstanding success rate at Etna (Ripepe et al, 2018). There is also evidence that eruption locations might be forecast on the basis of patterns in deformation data (Guldstrand et al, 2018).…”
Section: Pattern Recognition: Qualitative Approachesmentioning
confidence: 97%
“…The ability of volcanologists to forecast eruptions has only improved since Jaggar's time, with a number of great successes over the past several decades ranging from forecasts of small, low‐explosivity dome‐building events at Mount St. Helens, Washington (e.g., Swanson et al, ), to ash‐rich lava fountains at Mount Etna, Italy (Cassisi et al, ; Ripepe et al, ), to large explosive eruptions at Pinatubo, Philippines, and Merapi, Indonesia (e.g., Punongbayan et al, ; Surono et al, ). Many tools have also been developed for modeling the spatial extent and potential impacts of hazards like ash plumes (e.g., Schwaiger et al, ), pyroclastic density currents (e.g., Kelfoun et al, ; Pitman et al, ), lava flows (e.g., Favalli et al, ), and lahars (e.g., George & Iverson, ; Iverson & George, ; Schilling, ).…”
Section: Forecasting Volcanic Activity: a Tractable Problem For Scienmentioning
confidence: 99%
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“…Volcanic eruptions produce seismic, acoustic, and air‐ground coupled wavefields, each of which help provide constraints on internal and external volcanic processes (Chouet & Matoza, ; Fee & Matoza, ; Johnson & Ripepe, ; Matoza et al, ). Infrasound (acoustic waves <20 Hz) is well suited to remote detection (De Angelis et al, ; Fee et al, ; Garcés et al, ; Matoza et al, ; Matoza, Le Pichon, et al, ; Matoza, Vergoz, et al, ; Matoza et al, ; Ripepe et al, ). Infrasound attenuation is low, and infrasound can often be recorded thousands of kilometers from the source (Drob et al, ; Le Pichon et al, ; Waxler, ).…”
Section: Introductionmentioning
confidence: 99%