Co-eruptive tremor from Bogoslof volcano: seismic wavefield composition at regional distances

Haney, Matthew M.; Fee, David; McKee, Kathleen; Lyons, J. J.; Matoza, Robin S.; Wech, A.; Tepp, Gabrielle; Searcy, Cheryl; Mikesell, T. Dylan

doi:10.1007/s00445-019-1347-0

Cited by 17 publications

(10 citation statements)

References 44 publications

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“…This means that the wave field of most tremors has a well-defined polarization. Our results are consistent with the recent observations of volcanic tremors, which showed a wave field composed mainly of P waves at regional distances (Haney et al 2020).…”

Section: Characterization Of Long-duration Eventssupporting

confidence: 93%

On data reduction methods for volcanic tremor characterization: the 2012 eruption of Copahue volcano, Southern Andes

Melchor

Almendros

Carniel

et al. 2020

Earth Planets Space

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Improving the ability to detect and characterize long-duration volcanic tremor is crucial to understand the long-term dynamics and unrest of volcanic systems. We have applied data reduction methods (permutation entropy and polarization degree, among others) to characterize the seismic wave field near Copahue volcano (Southern Andes) between June 2012 and January 2013, when phreatomagmatic episodes occurred. During the selected period, a total of 52 long-duration events with energy above the background occurred. Among them, 32 were classified as volcanic tremors and the remaining as noise bursts. Characterizing each event by averaging its reduced parameters, allowed us to study the range of variability of the different events types. We found that, compared to noise burst, tremors have lower permutation entropies and higher dominant polarization degrees. This characterization is a suitable tool for detecting long-duration volcanic tremors in the ambient seismic wave field, even if the SNR is low.

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Section: Characterization Of Long-duration Eventssupporting

confidence: 93%

On data reduction methods for volcanic tremor characterization: the 2012 eruption of Copahue volcano, Southern Andes

Melchor

Almendros

Carniel

et al. 2020

Earth Planets Space

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“…Based on this calculated eruption volume and observations of plume heights reaching altitudes of~12 km (Schneider et al 2020) and the explosive character of the eruption, this eruption is best characterized by a volcano explosivity index (VEI) of 3 (Newhall and Self 1982). We note that this VEI agrees well with that calculated by Haney et al (2020) of 3.3 using the maximum reduced displacement of Bogoslof's volcanic tremor (40 cm 2 ) and the relationship of McNutt (1994). The error in our calculated Bogoslof eruption masses and volumes are poorly constrained, with the main sources of uncertainty including the pre-eruptive S concentration in the melt, the accuracy of our satellite SO 2 masses, which depends on both the accuracy of the SO 2 column density and plume area calculations (described above), and the assumption that all degassed magma has erupted.…”

Section: Comparison With Complementary Geophysical Datasetssupporting

confidence: 69%

Constraints on eruption processes and event masses for the 2016–2017 eruption of Bogoslof volcano, Alaska, through evaluation of IASI satellite SO2 masses and complementary datasets

et al. 2020

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Bogoslof volcano, Alaska, experienced at least 70 explosive eruptions between 12 December 2016 and 31 August 2017. Due to its remote location and limited local monitoring network, this eruption was monitored and characterized primarily using remote geophysical and satellite techniques. SO 2 emissions from Bogoslof were persistently detected by the Infrared Atmospheric Sounding Interferometer (IASI) satellite sensors. Of Bogoslof's 70 explosive events, 50% produced measurable SO 2 masses ranging from 0.1 to 21.5 kt, with a median and standard deviation of 0.7 ± 4.0 kt SO 2 , respectively. Here, we compare IASI-derived SO 2 masses from Bogoslof events to complementary geophysical datasets to provide insights into eruption source processes, namely the degree of seawater scrubbing of water-soluble SO 2 and variations in magma flux. Correlations with the number of lightning strokes and infrasound energy are expected to indicate magma-flux as a controlling process, while correlations with infrasound frequency index are expected to indicate variations in vent-water content as a controlling factor. These comparisons suggest that the measured SO 2 masses are primarily a function of eruption magnitude (degassed magma mass) and that scrubbing of SO 2 emissions by vent seawater may have exerted a minor effect on the observed SO 2 masses. SO 2 masses were combined with petrologic constraints on melt inclusion and matrix glass S concentrations to calculate degassed magma masses and volumes. The cumulative SO 2-derived degassed magma mass and estimated volume (dense-rock equivalent) for the full Bogoslof eruption were found to be 2.8 × 10 10 kg and 9.3 × 10 6 m 3 , respectively. When individual event masses are compared against event masses calculated using an empirical plume-height method, a strong correlation is found (R 2 = 0.83), with better than order-of-magnitude agreement in most cases. These estimates of eruption masses provide useful information on the magnitude, behavior, and associated hazards of the 2016-2017 eruption, and potentially future unrest at Bogoslof volcano.

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“…Given these constraints, however, no particular decrease in event magnitude is identified over the course of the eruption. Similar event size comparisons exist for precursory seismicity (Tepp & Haney, ), and eruptive seismicity (Haney, Fee, et al, ; Tepp et al, ).…”

Section: Resultsmentioning

confidence: 54%

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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Co-eruptive tremor from Bogoslof volcano: seismic wavefield composition at regional distances

Cited by 17 publications

References 44 publications

On data reduction methods for volcanic tremor characterization: the 2012 eruption of Copahue volcano, Southern Andes

On data reduction methods for volcanic tremor characterization: the 2012 eruption of Copahue volcano, Southern Andes

Constraints on eruption processes and event masses for the 2016–2017 eruption of Bogoslof volcano, Alaska, through evaluation of IASI satellite SO2 masses and complementary datasets

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

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