Infrasound generated by the 2016–2017 shallow submarine eruption of Bogoslof volcano, Alaska

Lyons, J. J.; Iezzi, Alexandra M.; Fee, David; Schwaiger, Hans F.; Wech, A.; Haney, Matthew M.

doi:10.1007/s00445-019-1355-0

Cited by 26 publications

(32 citation statements)

References 51 publications

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“…For each Bogoslof explosion, detection of infrasound by AVO did not necessarily correspond with the start of eruptive activity, nor was infrasound observed for all eruptive activity (Coombs et al, ; Lyons et al, ; Schwaiger et al, ). AVO detected 61 of the 70 Bogoslof events with their infrasound array data (Figure , red lines) using analyses deriving from least squares beamforming (e.g., Lyons et al, ; Szuberla & Olson, ). When including all available sensors, our RTM method detects 44 of 61 of these cataloged infrasound events (72%, Figure , green stars), and 46 of 70 of the events as a whole (66%, Figure , white stars).…”

Section: Resultsmentioning

confidence: 99%

“…The first influential factor is proximity to volcanic sources. With infrasound arrays making up the majority of sensors within 900 km of Bogoslof (Lyons et al, ), these sites are nominally better placed to have higher SNR than stations at greater distance. Mitigating factors, however, include potential shadow zones within the first few hundred kilometers (Fee & Matoza, , and references therein) and higher local wind noise away from the Alaskan interior.…”

Section: Resultsmentioning

confidence: 99%

“…The second factor is mechanical noise suppression. Half of the sensors comprising the infrasound arrays in this study use physical noise canceling technology, such as wind domes (Lyons et al, ; Raspet et al, ; Walker & Hedlin, ). The TA stations in contrast, which make up the bulk of the single‐sensor stations, do not use spatial wind filtering devices.…”

Section: Resultsmentioning

confidence: 99%

“…Telemetered data sampled at 20 Hz and higher are available in real time for public download from servers operated by Incorporated Research Institutions for Seismology and the U.S. Geological Survey. Stations in these networks include both stand‐alone seismic and infrasound sensors (Busby et al, ; USArray, ), as well as seven infrasound arrays (Lyons et al, ). AVO arrays are located at Adak, Akutan, Cleveland, Okmok, Sand Point, and Dillingham, with the Fairbanks array (IMS IS53) operated by the University of Alaska Fairbanks Geophysical Institute (Figure a).…”

Section: Introductionmentioning

confidence: 99%

“…The vast majority of these eruptions produced detectable infrasound, which, depending on event size, vent exposure/submersion, and atmospheric conditions, is observed at distances of up to 2,000 km or more (Figure ). Infrasound signal durations lasted from minutes to hours, with infrasound frequencies extending from below 0.1 Hz to more than 10 Hz (Lyons et al, , ; Fee et al, ; Schwaiger et al, ). The AVO eruption chronology catalog (Coombs et al, ) represents the best possible record of Bogoslof activity, and thus provides a metric by which to test our trial detection algorithms.…”

Section: Introductionmentioning

confidence: 99%

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Remote Detection and Location of Explosive Volcanism in Alaska With the EarthScope Transportable Array

et al. 2020

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The current deployment of the EarthScope Transportable Array (TA) in Alaska affords an unprecedented opportunity to study explosive volcanic eruptions using a relatively dense regional seismoacoustic network. Infrasound monitoring has demonstrated utility for the remote (>250 km range) detection and characterization of volcanic explosions, but previous studies have used relatively sparse regional or global networks. Seventy explosive events from the locally unmonitored Bogoslof volcano (2016-2017) provide a unique validation data set to examine the ability of the TA and other regional networks to detect and locate remote explosive volcanic eruptions in Alaska. With a simple envelope-based reverse time migration (RTM) technique, we are able to detect and locate more than 72% of the 61 Bogoslof infrasound events detected by the Alaska Volcano Observatory. Notably, RTM using only sparse regional infrasound arrays produces results similar to when incorporating the extensive single-sensor TA network, likely due to favorable signal-to-noise ratios, seasonal propagation conditions, and source-receiver geometries. Our implementation also detects and locates explosive eruptions from Cleveland volcano, Alaska, and Bezymianny volcano, Kamchatka, as well as infrasound from nonvolcanic events such as earthquakes. We characterize the success of the RTM algorithm and associated parameter choices using receiver operating characteristic curves, event detection rates, and location accuracy. Our methods are useful for explosive volcanic and nonvolcanic event detection and localization using real-time data and for scanning continuous waveform data archives.

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