Estimates of plume height from infrasound for regional volcano monitoring

Perttu, Anna; Taisne, Benoît; Angelis, Silvio De; Assink, Jelle; Tailpied, Dorianne; Williams, Ross

doi:10.1016/j.jvolgeores.2020.106997

Cited by 30 publications

(30 citation statements)

References 48 publications

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“…The displacement and compression of the atmospheric air by the expansion of the jet generates acoustic waves, which are predominantly at low frequencies (

< 20

Hz) and are termed infrasound (Fee & Matoza, 2013; Garces et al., 2013; Johnson & Ripepe, 2011; Marchetti et al., 2019; Matoza et al., 2019). Infrasound observations are increasingly used to detect and monitor volcanic activity (Arnoult et al., 2010; Coombs et al., 2018; De Angelis et al., 2019; Ripepe et al., 2018) as well as to constrain eruption properties including eruptive volume and mass (Fee et al., 2017; Iezzi et al., 2019; Johnson & Miller, 2014; Kim et al., 2015), plume height (Caplan‐Auerbach et al., 2010; Lamb et al., 2015; Perttu et al., 2020; Yamada et al., 2017), and crater dimensions (Fee et al., 2010; Johnson et al., 2018; Richardson et al., 2014; Watson et al., 2019, 2020; Witsil & Johnson, 2018). Infrasound signals can propagate great distances in the atmosphere and can be used for regional (15–250 km) and remote (

> 250

km) detection and characterization of eruptions (Fee & Matoza, 2013; Marchetti et al., 2019; Matoza et al., 2019).…”

Section: Introductionmentioning

confidence: 99%

Infrasound Radiation From Impulsive Volcanic Eruptions: Nonlinear Aeroacoustic 2D Simulations

et al. 2021

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Infrasound observations are increasingly used to constrain properties of volcanic eruptions. In order to better interpret infrasound observations, however, there is a need to better understand the relationship between eruption properties and sound generation. Here we perform two‐dimensional computational aeroacoustic simulations where we solve the compressible Navier‐Stokes equations for pure‐air with a large‐eddy simulation approximation. We simulate idealized impulsive volcanic eruptions where the exit velocity is specified and the eruption is pressure‐balanced with the atmosphere. Our nonlinear simulation results are compared with the commonly used analytical linear acoustics model of a compact monopole source radiating acoustic waves isotropically in a half space. The monopole source model matches the simulations for low exit velocities (<100 m/s or M0.3333em≈0.3333em0.3 where M is the Mach number); however, the two solutions diverge as the exit velocity increases with the simulations developing lower peak amplitude, more rapid onset, and anisotropic radiation with stronger infrasound signals recorded above the vent than on Earth's surface. Our simulations show that interpreting ground‐based infrasound observations with the monopole source model can result in an underestimation of the erupted volume for eruptions with sonic or supersonic exit velocities. We examine nonlinear effects and show that nonlinear effects during propagation are relatively minor for the parameters considered. Instead, the dominant nonlinear effect is advection by the complex flow structure that develops above the vent. This work demonstrates the need to consider anisotropic radiation patterns and jet dynamics when interpreting infrasound observations, particularly for eruptions with sonic or supersonic exit velocities.

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“…The displacement and compression of the atmospheric air by the expansion of the jet generates acoustic waves, which are predominantly at low frequencies (

< 20

> 250

km) detection and characterization of eruptions (Fee & Matoza, 2013; Marchetti et al., 2019; Matoza et al., 2019).…”

Section: Introductionmentioning

confidence: 99%

Infrasound Radiation From Impulsive Volcanic Eruptions: Nonlinear Aeroacoustic 2D Simulations

et al. 2021

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“…This geophysical exploration technique is particularly beneficial to monitor volcanic regions with little infrastructure, being not limited by field accessibility. The effectiveness of such method has been demonstrated at propagation ranges of thousands of kilometres through eruption case studies in Southeast Asia where there are around 750 active or potentially active volcanoes 56 . It is expected that pursuing such evaluation would contribute to improving methods for natural hazards monitoring from the perspective of building a timely warning system to VAACs in poorly monitored regions.…”

Section: Discussionmentioning

confidence: 99%

Using dense seismo-acoustic network to provide timely warning of the 2019 paroxysmal Stromboli eruptions

Pichon

Pilger

Ceranna

et al. 2021

Sci Rep

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Stromboli Volcano is well known for its persistent explosive activity. On July 3rd and August 28th 2019, two paroxysmal explosions occurred, generating an eruptive column that quickly rose up to 5 km above sea level. Both events were detected by advanced local monitoring networks operated by Istituto Nazionale di Geofisica e Vulcanologia (INGV) and Laboratorio di Geofisica Sperimentale of the University of Firenze (LGS-UNIFI). Signals were also recorded by the Italian national seismic network at a range of hundreds of kilometres and by infrasonic arrays up to distances of 3700 km. Using state-of-the-art propagation modeling, we identify the various seismic and infrasound phases that are used for precise timing of the eruptions. We highlight the advantage of dense regional seismo-acoustic networks to enhance volcanic signal detection in poorly monitored regions, to provide timely warning of eruptions and reliable source amplitude estimate to Volcanic Ash Advisory Centres (VAAC).

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“…Another parameter used to characterize the explosivity of eruptions is the plume height. It is measured by ground‐based sensors, including radars (Donnadieu, 2012; Donnadieu et al., 2016; Schneider & Hoblitt, 2013), LiDAR (Marenco et al., 2011), lightning detectors (Cimarelli et al., 2016), satellite‐based sensors and infrasound (Perttu Taisne et al., 2020; A. J. Prata & Grant, 2001). We used plume height values reported in the literature, obtained from direct measurements and modeling (see Table 1 for references).…”

Section: Methodsmentioning

confidence: 99%

Correlation Between GNSS‐TEC and Eruption Magnitude Supports the Use of Ionospheric Sensing to Complement Volcanic Hazard Assessment

et al. 2021

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Throughout human history, large volcanic eruptions have affected year-to-year variability of the Earth's climate and even triggered crop failures and famines (e.g., Luterbacher & Pfister, 2015; Occhipinti, 2011; Oppenheimer, 2015). With an increasing global population, volcanic eruptions pose an even more important threat to the wealth and safety of the world population and the development of modern society (Fekete, 2011). The eruption of Mount Pinatubo, Philippines, on June 1991, produced an estimated 20 million tons of sulfur dioxide, injecting 20 km high plume into the atmosphere (Bluth et al., 1992) which caused a temporarily drop of global temperatures by about 0.5°C from 1991 to 1993. The consequent ash fallout and lahars killed 847 people and caused damages to crops, infrastructures, and personal properties for more than 374 million dollars. A recent example of the economic impact of volcanic activity is observed after the eruption of the Icelandic volcano Eyjafjallajökull, that in 2010 caused the largest breakdown of European airspace since World War II, despite the moderate Volcanic Explosivity Index (VEI, Newhall & Self, 1982) of 4 (S. Jenkins, 2010; S. F. Jenkins et al., 2015). Part of the resulting losses were attributed to the overly conservative plan of action that the International Civil Aviation Organization (ICAO) was forced to adopt due to the lack of real-time measurements of the distribution of ash (Lechner et al., 2017). The timing and accuracy of volcanic risk estimation has greatly improved since then; traditional monitoring techniques have evolved and been complemented with new methods. A significant goal is to provide timely and reliable information to support the Volcanic Ash Advisory Centers (VAACs). This allows coordination of an appropriately scaled response by relevant organizations to reduce damages and losses and mitigate the consequent economic impact.

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Estimates of plume height from infrasound for regional volcano monitoring

Cited by 30 publications

References 48 publications

Infrasound Radiation From Impulsive Volcanic Eruptions: Nonlinear Aeroacoustic 2D Simulations

Infrasound Radiation From Impulsive Volcanic Eruptions: Nonlinear Aeroacoustic 2D Simulations

Using dense seismo-acoustic network to provide timely warning of the 2019 paroxysmal Stromboli eruptions

Correlation Between GNSS‐TEC and Eruption Magnitude Supports the Use of Ionospheric Sensing to Complement Volcanic Hazard Assessment

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