Overview, chronology, and impacts of the 2016–2017 eruption of Bogoslof volcano, Alaska

Coombs, Michelle L.; Wallace, Kristi L.; Cameron, Cheryl E.; Lyons, J. J.; Wech, A.; Angeli, K.; Cervelli, P. F.

doi:10.1007/s00445-019-1322-9

Cited by 30 publications

(38 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…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, ).…”

Section: Resultsmentioning

confidence: 99%

“…The 2016–2017 eruption sequence of the remote Bogoslof volcano, Alaska, provided a unique data set for developing and testing our algorithm. Seventy distinct eruptive events were characterized by AVO between 12 December 2016 and 30 August 2017, using a combination of geophysical data at local AVO stations (within 900 km), satellite images, lightning records, and eyewitness accounts (Coombs et al, ). 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 ).…”

Section: Introductionmentioning

confidence: 99%

“…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. Additional seismoacoustic studies of Bogoslof using proximal stations include those by Tepp et al (), who characterize seismic and hydroacoustic data from swarms and eruptive activity; Haney, Van Eaton, et al (), who describe thunder and electromagnetic signals produced by volcanic lightning from Bogoslof; Wech et al (), who incorporate hydroacoustic T phases to model magma intrusion and eruption dynamics; Fee et al (), who examine the relation between vent submersion and seismoacoustic ratios; and Lyons et al (), who model low‐frequency infrasound signals as giant, explosion‐driven gas bubbles.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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

et al. 2020

View full text Add to dashboard Cite

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.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Eruptions between June 6 and10 (events 44-48) are unique in the 2016-2017 eruption sequence in that an above-water lava dome was visible in satellite imagery beginning late on 5 June (Fig. 8c) (Coombs et al 2019;Waythomas et al 2019); thus, eruptions during this period are presumed to be lava dome related and have significant subaerial components. The dome appears to have been destroyed by the June 10 eruption (Fig.…”

Section: Methodsmentioning

confidence: 99%

“…OKIF provides the most complete acoustic dataset and recorded 41 out of the total 70 explosive events identified by AVO. AVO's event identification involved detailed multiparameter analysis of the eruption sequence (Coombs et al 2019) We analyze seismic data from station MAPS located ∼73 km east of Bogoslof on Makushin volcano, Unalaska Island (Fig. 1).…”

Section: Methodsmentioning

confidence: 99%

Seismo-acoustic evidence for vent drying during shallow submarine eruptions at Bogoslof volcano, Alaska

et al. 2019

Self Cite

View full text Add to dashboard Cite

Characterizing the state of the volcanic vent is key for interpreting observational datasets and accurately assessing volcanic hazards. This is particularly true for remote, complex eruptions such as the 2016-2017 Bogoslof volcano, Alaska eruption sequence. Bogoslof's eruptions in this period were either shallow submarine or subaerial, or some combination of both. Our results demonstrate how low-frequency sound waves (infrasound), integrated with seismic and satellite data, can provide unique insight into shallow vent processes, otherwise not available. We use simple metrics, such as the infrasound frequency index (FI), event duration, and acoustic-seismic amplitude ratio, to look at changes in the elastic energy radiation and infer changes in seawater access to the vent. Satellite imagery before and after selected eruptions is used to ground-truth inferences on vent conditions. High FI and gradual increases in infrasound frequency content at Bogoslof correspond with transitions from submarine to subaerial vent conditions and a diminished or absent role of water, likely resulting in a drying out of the vent region. Event durations generally correlate with high FI and the range of FI values for each event, suggesting long duration events were more effective at drying out the vent region. A trend from low to high acoustic-seismic amplitude ratios for some long duration events also suggests an increase in acoustic efficiency as the vent dried out. We demonstrate that infrasound can serve as a robust indicator of seawater involvement for Bogoslof and other shallow submarine eruptions that may not be inferable from other datasets, particularly in near-real-time.

show abstract

Simultaneous creation of a large vapor plume and pumice raft by a shallow submarine eruption

Fauria

Jutzeler²,

Mittal

et al. 2022

Preprint

View full text Add to dashboard Cite

The August 12, 2021 eruption of Fukutoku-Okanoba, a shallow submarine volcano in the Izu-Bonin arc of Japan, is one of few documented submarine eruptions to make a large aerial plume and floating pumice raft. Relative to past eruptions, this event was well-covered by multiple high resolution satellite remote sensors. Here we use satellite remote sensing to assess the eruption style, rates, and products. We find that the 16 km plume was water-rich. Furthermore, we conclude that the 0.1 kmˆ3 raft and 16 km plume were co-genetic and suggest that pumice clasts were delivered to the raft by tephra jets rather than plume fallout. Finally, this eruption highlights a discrepancy between small erupted volumes and high plume heights that may be common for shallow explosive subaqueous eruptions.

show abstract

Overview, chronology, and impacts of the 2016–2017 eruption of Bogoslof volcano, Alaska

Cited by 30 publications

References 37 publications

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

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

Seismo-acoustic evidence for vent drying during shallow submarine eruptions at Bogoslof volcano, Alaska

Simultaneous creation of a large vapor plume and pumice raft by a shallow submarine eruption

Contact Info

Product

Resources

About