Combining local and remote infrasound recordings from the 2009 Redoubt Volcano eruption

Fee, David; McNutt, Stephen R.; Lopez, T. M.; Arnoult, K.; Szuberla, Curt A. L.; Olson, John V.

doi:10.1016/j.jvolgeores.2011.09.012

Cited by 50 publications

(42 citation statements)

References 39 publications

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“…Haney et al (2013) take advantage of this low frequency energy to derive a volumetric source depth of 1.9 km below the crater floor for event 12. Fee et al (2013) note that the infrasonic pulses associated with these later events were more impulsive and shorter in duration than earlier events. The nature of the deposits was also different during this period, exhibiting much finer grain-sizes than deposits from the March 23-24 explosion sequence, although the chemical composition remained unchanged (Wallace et al, 2013).…”

Section: Explosion Seismicitymentioning

confidence: 80%

“…Fee et al (2013) noted a difference in the infrasonic explosion signal characteristics during this same period and attributed it to a change in eruptive style, from the subplinian-type activity observed during the early phase of the eruption to vulcanian activity. Wallace et al (2013) also observed a change in the tephra componentary, finding much finer grainsizes indicative of more explosive activity following the March 27 swarm.…”

Section: March 27 Swarmmentioning

confidence: 84%

“…However, it was of modest energy and contained relatively little low frequency energy. The explosion contained two main pulses and several smaller pulses that are examined in detail by Fee et al (2013) and Schneider and Hoblitt (2013). The proximal deposits from this sequence contained a large amount of material that was derived from the lava dome, suggesting that dome collapse may have played a role in generating the explosion sequence Wallace et al, 2013).…”

Section: Explosion Seismicitymentioning

confidence: 94%

See 2 more Smart Citations

The seismicity of the 2009 Redoubt eruption

Buurman

West

Thompson

2013

Journal of Volcanology and Geothermal Research

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Redoubt Volcano erupted in March 2009 following 6 months of precursory seismic activity. The 4.5-monthlong eruptive sequence was accompanied by phreatic and magmatic explosions, periods of steady dome growth, lahars, seismic swarms, extended episodes of volcanic tremor and changes in the background seismicity rate. This study presents a seismic chronology of the eruption and places it in context with the variety of other geological and geophysical data that were recorded during the eruptive period. We highlight 6 notable seismic swarms, 3 of which preceded large explosions. The swarms varied from an hour to several days in duration, and contained tens to over 7000 earthquakes. Many of the swarms were dominated by low frequency type earthquakes that contained families of repeating events. Seismic tremor varied considerably in frequency, amplitude and duration during the eruption with distinct characteristics accompanying different types of volcanic activity. The explosion signals during March 23-24 were the most energetic, and the explosions on March 26-29 contained proportionally more low frequency energy (0.033-0.3 Hz). Two seismic stations were particularly well-suited to recording lahars that flowed down the Drift River valley. Data from these stations showed that lahars were generated by the majority of the explosion events, as well as during the continuous eruptive activity on March 29 when no large explosions occurred. We also examine the seismicity which occurred outside of the explosion and swarm episodes, and find several families of repeating VT earthquakes which begin shortly before the April 4 explosion and that continue through May 2009, locating between 3 and 6 km below sea level.

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Section: Explosion Seismicitymentioning

confidence: 80%

Section: March 27 Swarmmentioning

confidence: 84%

Section: Explosion Seismicitymentioning

confidence: 94%

See 1 more Smart Citation

The seismicity of the 2009 Redoubt eruption

Buurman

West

Thompson

2013

Journal of Volcanology and Geothermal Research

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“…Given two sets of data that could represent our experiment for n observations for two trials a and b, (5) the variance of the individual sets of data is calculated as shown below (set a for example), (6) where  is the mean of the vector a.…”

Section: Disseminationmentioning

confidence: 99%

Target Detection and Classification From Sub-optimal Experimental Data Using Principal Component Analysis and Feature Vector Masking

Coots¹,

Arrasmith²,

Skowbo³

et al. 2016

IJMO

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Abstract-Infrasound signals of interest (SOI) have been collected from various sources including boats, aircraft and personal watercraft during a recent field exercise. The designed experiment specifically located infrasound sensors to gather the SOIs and process them using a developmental methodology. This custom pre-processing, and exploitation suite allows for the extraction of SOIs from experimental data sets that might be sub-optimal due to the presence of noise or interfering (undesired) sources.The on-going development of the infrasound sensor suite and the SOI signal processing and analysis is supported by this work.Index Terms-Feature vector, infrasound, infrasound analysis, infrasound array, infrasound classification, principal component analysis, PCA.

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“…Since the natural attenuation of signals traveling through the atmosphere is a function of a signals frequency, infrasound signals can travel very long distances (thousands of kilometers or more, depending on atmospheric conditions) [6]. As Fig.…”

Section: A Backgroundmentioning

confidence: 99%

Systems Engineering Modeling and Comparative Analysis of Various Infrasound Signals of Interest

Arrasmith¹,

Coots²,

Skowbo³

et al. 2015

IJMO

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Abstract-Good modeling, simulation, and analysis methods are essential elements of the systems engineering discipline and have become pervasive throughout the systems development lifecycle. Presently, a wide range of partially integrated Systems Engineering tools are available to the system architect, systems engineers, designers, developers, the production team, and system end-users. These tools are well vetted with industry and are capable of defining enterprise and systems architectures, integrating requirements management methodologies and helping drive the design to closure. Additionally, these tools establish a synergy that connects engineering, analysis, production, and support. These tools are ever-evolving as the systems engineering framework for systems development continues to expand its influence. At their most basic level, these tools provide an organized structure within which the conception, design, development, production, verification/validation, deployment, support, and even retirement of a system, service, product, or process may be executed. This "cradle-to-grave" scope lies at the core of the systems engineering lifecycle management philosophy. This paper presents the representative application of various systems engineering tools throughout the systems development lifecycle. Analysis, modeling and simulation methods and tools are used to evolve a system design and evaluate predicted system performance against established system requirements. An operational infrasound system is used to develop an example case study. This paper also presents the latest results of on-going research in the application of analysis and modeling tools to study man-made infrasound signals of interest (SOI).Index Terms-Infrasound, infrasound analysis, infrasound array, system modeling and analysis.

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Combining local and remote infrasound recordings from the 2009 Redoubt Volcano eruption

Cited by 50 publications

References 39 publications

The seismicity of the 2009 Redoubt eruption

The seismicity of the 2009 Redoubt eruption

Target Detection and Classification From Sub-optimal Experimental Data Using Principal Component Analysis and Feature Vector Masking

Systems Engineering Modeling and Comparative Analysis of Various Infrasound Signals of Interest

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