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Modeling Volcanic Eruption Parameters by Near-Source Internal Gravity Waves

机译:利用近源内部重力波模拟火山喷发参数

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摘要

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:火山爆炸将大量的热气和灰烬释放到大气中,形成羽状喷发,喷发高出喷口几公里,这对距火山源几千公里的人类健康和航空业都构成严重威胁。但是,最复杂的大气模型和喷发羽流动力学需要输入参数,例如喷出阶段的持续时间和喷发的总质量,以限制散布在大气中的灰烬量并有效评估相关危害。大量灰烬的突然喷出会扰乱整个大气的平衡,从而触发远远低于声波频率的振荡,直至重力波的更长周期。我们表明,由火山爆发引起并由压力传感器记录的大气重力振荡可以建模为一个紧凑的源,代表火山爆发质量的速率。我们证明了直接在约束羽状和灰分扩散模型中应用重力波推导喷发源参数(如注入持续时间和总喷发质量)的可行性。

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