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Eruption Dynamics Of The Sw Crater Of Stromboli Volcano, Italy - An Interdisciplinary Approach

机译:意大利斯特龙博利火山Sw火山口的爆发动力学-跨学科方法

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We report on the evaluation of in situ measurements of eruption velocities and relative mass flux, collected by Doppler radar, as well as acoustic and infrared data, that were recorded at Stromboli volcano. Doppler radar observations were made alongside thermal, acoustic and seismic measurements, to (1) further investigate the complex waveforms of the SW crater by combining infrasonic, infrared and Doppler radar measurements, (2) establish a relationship between infrared, acoustic and Doppler radar measurements and (3) verify that all instruments observe the same behavior in terms of relative mass eruption rate. We also explore the relationship between kinetic and acoustic energy released during an eruption. Comparing the different methods to each other we are able to show that the mass erupted can be estimated either from the total reflected Doppler radar energy or from infrared observations. However, neither thermal nor reflected energy can provide a value in terms of absolute mass in kg. The erupted masses of different eruptions can only be evaluated relative to each other. Using the combined three data sets we especially focus on the eruption dynamics of the SW crater of Stromboli, namely its fluctuations in eruption strength. These pulses in one eruptive event so called 'pulsations' dominate more than 40% of the eruptions of SW crater. Previous models that explain pulsations to be generated by multiple consecutively exploding bubbles are supported by our combined analysis of infrasound, thermal data, particle velocities,' and the reflected energy.
机译:我们报告了由多普勒雷达收集的喷发速度和相对质量通量的原位测量评估,以及在斯特龙博利火山记录的声波和红外数据。多普勒雷达观测与热,声和地震测量同时进行,以(1)通过结合次声,红外和多普勒雷达测量进一步研究西南空火山口的复杂波形,(2)建立红外,声和多普勒雷达测量之间的关系(3)验证所有仪器在相对质量喷发率方面观察到相同的行为。我们还探讨了喷发过程中释放的动能和声能之间的关系。相互比较不同的方法,我们可以证明,可以从总反射多普勒雷达能量或红外观测值估计爆发的质量。但是,无论是热能还是反射能都无法提供以千克为单位的绝对质量值。只能相对于彼此评估不同爆发的爆发质量。使用合并的三个数据集,我们特别关注Stromboli SW火山口的爆发动力学,即爆发强度的波动。在一次爆发事件中,这些脉冲被称为“脉动”,占SW火山口爆发的40%以上。我们对次声,热数据,粒子速度和反射能量的综合分析支持了先前的模型,这些模型解释了由多个连续爆炸的气泡产生的脉动。

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