日本地球惑星科学連合2024年大会

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[E] 口頭発表

セッション記号 S (固体地球科学) » S-VC 火山学

[S-VC25] International Volcanology

2024年5月29日(水) 13:45 〜 15:00 201B (幕張メッセ国際会議場)

コンビーナ:Conway Chris(Geological Survey of Japan, AIST)、松本 恵子(産業技術総合研究所地質調査総合センター)、山田 大志(京都大学防災研究所 火山活動研究センター)、川口 允孝(東京大学地震研究所)、座長:松本 恵子(産業技術総合研究所地質調査総合センター)、山田 大志(京都大学防災研究所 火山活動研究センター)


13:45 〜 14:00

[SVC25-01] Using lightning measurements to detect and monitor explosive volcanic eruptions

★Invited Papers

*Sonja A Behnke1、Harald Edens1 (1.Los Alamos National Laboratory)

キーワード:explosive volcanism, lightning, volcano monitoring

Measurements of lightning from explosive volcanic activity can be used both to detect an eruption and infer characteristics of eruption processes. When an explosive eruption occurs, the ensuing electrical activity often follows a predictable pattern. First, a burst of small sparks, often called vent discharges, occurs simultaneous with the onset of an explosion. This burst may last for a few seconds or tens of seconds, depending on the duration of the explosion. Next, lightning discharges start to occur as large-scale charge separation processes begin in the plume, and the burst of vent discharges wanes. The amount of lightning that occurs scales with the overall size of an eruption. This pattern has been observed from explosions of Augustine Volcano (Alaska, USA; 2006), Redoubt Volcano (Alaska, USA; 2009), Eyjafjallajökull (Iceland; 2010), and Sakurajima (Japan; 2015; 2019; 2020). Using very high frequency (VHF) measurements of the radio emissions from the electrical activity during explosive eruptions of Sakurajima we show a method for identifying when an explosion is occurring using machine learning methods. Implementation of this new method would provide new techniques for monitoring and detecting explosive eruptions, and facilitate new research aimed at incorporating lightning observations into volcano monitoring.