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Modeling Volcanic Eruption Parameters by Near-Source Internal Gravity Waves

机译:近源内部重力波建模火山喷发参数

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Volcanic 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.
机译:火山爆炸释放大量的热气和灰烬进入大气中,形成羽毛上升的爆发通风口的几公里,这可能对人类健康和航空的严重风险,也距离火山来源数千千克。然而,最复杂的大气模型和喷发羽毛动力学需要输入参数,例如喷射相的持续时间,并且总质量爆发以限制分散在大气中的灰分量并有效地评估相关危害。这种大量灰分的突然喷射可以扰乱整个气氛的平衡触发振荡良好地低于声波的频率,下降到更长的重力波的时间。我们表明,由火山喷发和由压力传感器记录的大气重力振荡可以被建模为表示爆发火山质量速率的紧凑源。我们展示了使用重力波来导出喷发源参数的可行性,例如注射的持续时间和完全爆发的质量,直接应用于约束羽流和灰分分散模型。

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