6533b872fe1ef96bd12d3967
RESEARCH PRODUCT
Modeling Volcanic Eruption Parameters by Near-Source Internal Gravity Waves
Giulia BarfucciMaurizio RipepeGiorgio LacannaDario Delle DonneEmanuele MarchettiS. De Angelissubject
Gravity (chemistry)010504 meteorology & atmospheric sciencesVolcanology010502 geochemistry & geophysics01 natural sciencesArticlePhysics::GeophysicsAtmosphereEffusive eruptionNatural HazardAstrophysics::Solar and Stellar AstrophysicsGeophysicPhysics::Atmospheric and Oceanic Physics0105 earth and related environmental sciencesgravity waves vulcanian explosions mass eruption rates montserratgeographyMultidisciplinarygeography.geographical_feature_categoryVulcanian eruptionAtmospheric modelsVolcanologyGeophysicsGeophysics; Natural Hazards; VolcanologyPlumeVolcanoPhysics::Space PhysicsAstrophysics::Earth and Planetary AstrophysicsGeologydescription
AbstractVolcanic explosions release large amounts of hot gas and ash into the atmosphere to form plumes rising several kilometers above eruptive vents, which can pose serious risk on human health and aviation also at several thousands of kilometers from the volcanic source. However the most sophisticate atmospheric models and eruptive plume dynamics require input parameters such as duration of the ejection phase and total mass erupted to constrain the quantity of ash dispersed in the atmosphere and to efficiently evaluate the related hazard. The sudden ejection of this large quantity of ash can perturb the equilibrium of the whole atmosphere triggering oscillations well below the frequencies of acoustic waves, down to much longer periods typical of gravity waves. We show that atmospheric gravity oscillations induced by volcanic eruptions and recorded by pressure sensors can be modeled as a compact source representing the rate of erupted volcanic mass. We demonstrate the feasibility of using gravity waves to derive eruption source parameters such as duration of the injection and total erupted mass with direct application in constraining plume and ash dispersal models.
year | journal | country | edition | language |
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2016-11-10 | Scientific Reports |