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Correlating the electrification of volcanic plumes with ashfall textures at Sakurajima Volcano, Japan

机译:在日本Sakurajima火山的灰烬纹理的火山羽毛电气相关

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Volcanic lightning detection has become a useful resource for monitoring remote, under-instrumented volcanoes. Previous studies have shown that the behavior of volcanic plume electrification responds to changes in the eruptive processes and products. However, there has not yet been a study to quantify the links between ash textures and plume electrification during an actively monitored eruption. In this study, we examine a sequence of vulcanian eruptions from Sakurajima Volcano in Japan to compare ash textural properties (grain size, shape, componentry, and groundmass crystallinity) to plume electrification using a lightning mapping array and other monitoring data. We show that the presence of the continual radio frequency (CRF) signal is more likely to occur during eruptions that produce large seismic amplitudes (7 mu m) and glass-rich volcanic ash with more equant particle shapes. We show that CRF is generated during energetic, impulsive eruptions, where charge buildup is enhanced by secondary fragmentation (milling) as particles travel out of the conduit and into the gas-thrust region of the plume. We show that the CRF signal is influenced by a different electrification process than later volcanic lightning. By using volcanic CRF and lightning to better understand the eruptive event and its products these key observations will help the monitoring community better utilize volcanic electrification as a method for monitoring and understanding ongoing explosive eruptions. (C) 2018 Elsevier B.V. All rights reserved.
机译:火山闪电检测已成为监控遥控器的诸如仪器下的火山的有用资源。以前的研究表明,火山羽流电气化的行为响应了爆发过程和产品的变化。然而,在积极监测的喷发期间,尚未研究过量化灰纹理和羽流电气化之间的链接。在这项研究中,我们研究了日本Sakurajima火山的一系列Vulcanian火山喷发,以将灰度纹理性质(晶粒尺寸,形状,组分和仿生度)使用闪电映射阵列和其他监测数据进行羽毛羽毛。我们表明,在产生大的地震振荡(&7μm)和具有更多刻度颗粒形状的血液的喷发过程中,更容易发生连续射频(CRF)信号的存在。我们表明CRF在精力充沛,脉冲爆发期间产生,其中二次碎片(研磨)增强了电荷累积,因为颗粒从导管中行进并进入羽流的气推区域。我们表明CRF信号受到不同电气化过程的影响而不是稍后的火山闪电。通过使用火山CRF和闪电来更好地了解爆发事件及其产品,这些关键观测将有助于监测社区更好地利用火山电气化作为监测和理解持续爆发的方法。 (c)2018年elestvier b.v.保留所有权利。

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