Infrasound from Tungurahua Volcano 2006–2008: Strombolian to Plinian eruptive activity

Fee, David; Garcés, Milton; Steffke, Andrea

doi:10.1016/j.jvolgeores.2010.03.006

Cited by 94 publications

(110 citation statements)

References 31 publications

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“…Arrowsmith et al, 2010). In particular, strombolian activity produces excess pressures recorded within a few kilometers of a vent, such as at Stromboli (Ripepe and Marchetti, 2002), Pacaya (Dalton et al, 2010), Fuego (Lyons et al, 2010), Tungurahua (Fee et al, 2010) and Mt. Etna (Cannata et al, 2009).…”

Section: Discussionmentioning

confidence: 99%

Joint analysis of infrasound and seismic signals by cross wavelet transform: detection of Mt. Etna explosive activity

Cannata

Montalto

Patané

2013

Nat. Hazards Earth Syst. Sci.

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The prompt detection of explosive volcanic activity is crucial since this kind of activity can release copious amounts of volcanic ash and gases into the atmosphere, causing severe dangers to aviation. In this work, we show how the joint analysis of seismic and infrasonic data by wavelet transform coherence (WTC) can be useful to detect explosive activity, significantly enhancing its recognition that is normally done by video cameras and thermal sensors. Indeed, the efficiency of these sensors can be reduced (or inhibited) in the case of poor visibility due to clouds or gas plumes. In particular, we calculated the root mean square (RMS) of seismic and infrasonic signals recorded at Mt. Etna during 2011. This interval was characterised by several episodes of lava fountains, accompanied by lava effusion, and minor strombolian activities. WTC analysis showed significantly high values of coherence between seismic and infrasonic RMS during explosive activity, with infrasonic and seismic series in phase with each other, hence proving to be sensitive to both weak and strong explosive activity. The WTC capability of automatically detecting explosive activity was compared with the potential of detection methods based on fixed thresholds of seismic and infrasonic RMS. Finally, we also calculated the cross correlation function between seismic and infrasonic signals, which showed that the wave types causing such seismo-acoustic relationship are mainly incident seismic and infrasonic waves, likely with a common source

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Section: Discussionmentioning

confidence: 99%

Joint analysis of infrasound and seismic signals by cross wavelet transform: detection of Mt. Etna explosive activity

Cannata

Montalto

Patané

2013

Nat. Hazards Earth Syst. Sci.

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“…Previous studies showed a general agreement between the acoustic power and plume height for high-energy Plinian or subPlinian events (Fee et al 2010). However, a clear relationship is still missing especially for lower-energy eruptions (Marchetti et al 2016b).…”

Section: Volcano Monitoring Using Infrasound Observationsmentioning

confidence: 65%

Toward an Improved Representation of Middle Atmospheric Dynamics Thanks to the ARISE Project

et al. 2017

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This paper reviews recent progress toward understanding the dynamics of the middle atmosphere in the framework of the Atmospheric Dynamics Research InfraStructure in Europe (ARISE) initiative. The middle atmosphere, integrating the stratosphere and mesosphere, is a crucial region which influences tropospheric weather and climate. Enhancing the understanding of middle atmosphere dynamics requires improved measurement of the propagation and breaking of planetary and gravity waves originating in the lowest levels of the atmosphere. Inter-comparison studies have shown large discrepancies between observations and models, especially during unresolved disturbances such as sudden stratospheric warmings for which model accuracy is poorer due to a lack of observational constraints. Correctly predicting the variability of the middle atmosphere can lead to improvements in tropospheric weather forecasts on timescales of weeks to season. The ARISE project integrates different station networks providing observations from ground to the lower thermosphere, including the infrasound system developed for the Comprehensive Nuclear-Test-Ban Treaty verification, the Lidar Network for the Detection of Atmospheric Composition Change, complementary meteor radars, wind radiometers, ionospheric sounders and satellites. This paper presents several examples which show how multi-instrument observations can provide a better description of the vertical dynamics structure of the middle atmosphere, especially during large disturbances such as gravity waves activity and stratospheric warming events. The paper then demonstrates the interest of ARISE data in data assimilation for weather forecasting and re-analyzes the determination of dynamics evolution with climate change and the monitoring of atmospheric extreme events which have an atmospheric signature, such as thunderstorms or volcanic eruptions.

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“…b Band-pass-filtered (5-10 Hz) vertical velocity seismograms for three eruption tremor episodes. Note that a, b are at different time scales during eruptions at Tungurahua (e.g., Fee et al 2010). The proportional relationship between I s and I p suggests that I s can be used as a measure of the total ejected mass during an eruption and accordingly that the source amplitude may be proportional to the peak mass flux.…”

Section: Discussionmentioning

confidence: 99%

An approach to source characterization of tremor signals associated with eruptions and lahars

et al. 2015

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Tremor signals are observed in association with eruption activity and lahar descents. Reduced displacement (D R ) derived from tremor signals has been used to quantify tremor sources. However, tremor duration is not considered in D R , which makes it difficult to compare D R values estimated for different tremor episodes. We propose application of the amplitude source location (ASL) method to characterize the sources of tremor signals. We used this method to estimate the tremor source location and source amplitude from high-frequency (5-10 Hz) seismic amplitudes under the assumption of isotropic S-wave radiation. We considered the source amplitude to be the maximum value during tremor. We estimated the cumulative source amplitude (I s ) as the offset value of the timeintegrated envelope of the vertical seismogram of tremor corrected for geometrical spreading and medium attenuation in the 5-10-Hz band. For eruption tremor signals, we also estimated the cumulative source pressure (I p ) from an infrasonic envelope waveform corrected for geometrical spreading. We studied these parameters of tremor signals associated with eruptions and lahars and explosion events at Tungurahua volcano, Ecuador. We identified two types of eruption tremor at Tungurahua: noise-like inharmonic waveforms and harmonic oscillatory signals. We found that I s increased linearly with increasing source amplitude for lahar tremor signals and explosion events, but I s increased exponentially with increasing source amplitude for inharmonic eruption tremor signals. The source characteristics of harmonic eruption tremor signals differed from those of inharmonic tremor signals. We found a linear relation between I s and I p for both explosion events and eruption tremor. Because I p may be proportional to the total mass involved during an eruption episode, this linear relation suggests that I s may be useful to quantify eruption size. The I s values we estimated for inharmonic eruption tremor were consistent with previous estimates of volumes of tephra fallout. The scaling relations among source parameters that we identified will contribute to our understanding of the dynamic processes associated with eruptions and lahars. This new approach is applicable in analyzing tremor sources in real time and may contribute to early assessment of the size of eruptions and lahars.

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Infrasound from Tungurahua Volcano 2006–2008: Strombolian to Plinian eruptive activity

Cited by 94 publications

References 31 publications

Joint analysis of infrasound and seismic signals by cross wavelet transform: detection of Mt. Etna explosive activity

Joint analysis of infrasound and seismic signals by cross wavelet transform: detection of Mt. Etna explosive activity

Toward an Improved Representation of Middle Atmospheric Dynamics Thanks to the ARISE Project

An approach to source characterization of tremor signals associated with eruptions and lahars

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