Japan Geoscience Union Meeting 2019

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[J] Poster

M (Multidisciplinary and Interdisciplinary) » M-IS Intersection

[M-IS27] Atmospheric electricity: Applications toward natural disaster mitigation

Tue. May 28, 2019 5:15 PM - 6:30 PM Poster Hall (International Exhibition Hall8, Makuhari Messe)

convener:Yasuhide Hobara(Graduate School of Information and Engineering Department of Communication Engineering and Informatics, The University of Electro-Communications), Masashi Kamogawa(Department of Physics, Tokyo Gakugei University)

[MIS27-P03] Rn flux anomaly and local seiemicity around Asahi station,Boso,Japan

*Haruna Kojima1, Katsumi Hattori2, Chie Yoshino2, Michikuni Shimo3, Toshiharu Konishi4, Ryuichi Furuya5 (1.Graduate School of Science and Engineering,Chiba University, 2.Department of Earth Sciences,Graduate School of Scince, 3.Fujita Health University, 4.OHYO KOKEN KOGYO Co.,Ltd, 5.COM SYSTEM Inc.)

Keywords:Lithosphere-Atmosphere-Ionosphere Coupling, atmospheric electric field, atmospheric ion concentration, ground Rn concentration

In recent years, there are many studies reported electromagnetic phenomena preceding earthquakes such as ionospheric anomalies. Lithosphere-Atmosphere-Ionosphere Coupling (LAIC) model has been proposed to explain these phenomena. In this study, to explain the possibility of the chemical channel of LAIC, we have installed sensors for atmospheric electric field (AEF), atmospheric ion concentration (AIC), atmospheric Rn concentration (ARC), ground Rn concentration (GRC), and weather elements at Asahi station, Boso Peninsula, Japan. Because the atmospheric electricity parameters could be mainly influenced by weather factors, it is necessary to remove these influences as much as possible. In this sense, we apply the MSSA (Multi-channel Singular Spectral Analysis) to remove these influences from the GRC variation and estimate the Rn flux from the ground. Then, we investigate the correlation between the changes in the Rn flux and seismicity around the station. As a result, we found the correlation between Rn flux and regional cumulative seismic moment and/or Es index, which indicates the daily seismic energy near the station received at the station. It is highly suggestive of the effectiveness of GRC monitoring in regional seismicity around the station. Further researches such as network observations will be required for the detailed consideration on the correlation between Rn flux and seismicity such as magnitude and distance dependences.