日本地球惑星科学連合2018年大会

講演情報

[EE] 口頭発表

セッション記号 M (領域外・複数領域) » M-IS ジョイント

[M-IS03] Interdisciplinary studies on pre-earthquake processes

2018年5月24日(木) 10:45 〜 12:15 A09 (東京ベイ幕張ホール)

コンビーナ:服部 克巳(千葉大学大学院理学研究科)、劉 正彦(国立中央大学太空科学研究所)、Ouzounov Dimitar(Center of Excellence in Earth Systems Modeling & Observations (CEESMO) , Schmid College of Science & Technology Chapman University, Orange, California, USA、共同)、Qinghua Huang(Peking University)、座長:服部 克巳Qinghua Huang(Peking University)

11:15 〜 11:30

[MIS03-09] Statistical validation of the possible Lithosphere-Atmosphere-Ionosphere Coupling prior to earthquakes by means of 3.5 years of Swarm satellite electromagnetic data analysis

★Invited Papers

*Angelo De Santis1On behalf of SAFE and INGV LIMADOU Teams (1.National Institute of Geophysics and Volcanology (INGV))

キーワード:Earthquake , Seismic Precursors, LAIC, Swarm satellites, CSES

SAFE (“Swarm for Earthquake study”) project (funded by ESA in the framework of "STSE Swarm+lnnovation”) deals with the integrated analysis of more physical parameters whose abnormal variations have been found to be possibly associated with impending earthquakes. These observations are mainly: electromagnetic variations, total electron content and the electron density in the ionosphere, measured both from Swarm satellites and ground-based observatories. We show here the results of a systematic analysis of around 3.5 years of magnetic and electron density Swarm satellite anomalies in the whole space-time interval of interest, avoiding high magnetic latitudes, which are correlated with earthquakes by means of a superposed epoch approach. Both magnetic and plasma data analyses show that the anomaly concentrations are larger than random anomaly distributions by a factor of more than 2.5, and a deviation from the random mean by more than 40 times the standard deviation, supporting the hypothesis for a lithosphere-atmosphere-ionosphere coupling in the preparation phase of earthquakes.

The recent launched CSES satellite mission with dedicated scientific payload for pre-earthquake anomaly detection will let us available more electromagnetic data for applying the same techniques for searching precursors of future earthquakes.