JpGU-AGU Joint Meeting 2017

講演情報

[JJ] 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-IS12] [JJ] 地震・火山等の地殻活動に伴う地圏・大気圏・電離圏電磁現象

2017年5月25日(木) 13:45 〜 15:15 103 (国際会議場 1F)

コンビーナ:児玉 哲哉(宇宙航空研究開発機構研究開発部門第一研究ユニット)、芳原 容英(電気通信大学 大学院情報理工学研究科)、長尾 年恭(東海大学海洋研究所)、座長:長尾 年恭(東海大学海洋研究所)、座長:児玉 哲哉(宇宙航空研究開発機構研究開発部門第一研究ユニット)

15:00 〜 15:15

[MIS12-06] 島原地方における、簡単な客観手法で作成した予測マップによるVHF電波伝播異常と地震発生の相関

*森田 笙1 (1.北海道大学大学院理学院自然史科学専攻宇宙測地学講座)

キーワード:地震予測マップ、客観的手法

Electromagnetic precursors associated with the impending earthquake, such as variations of geoelectric current, total electron contents in the ionosphere, and anomalous transmission of radio waves in the VLF or VHF band, have been observed (e.g. Hayakawa, 1996). Recently, some researchers have discussed how these precursory phenomena relate statistically to the impending earthquake (Le et al., 2010, Orihara et al., 2012, Hattori et al., 2013, Han et al. 2014). Anomalous (i.e., beyond the line of sight) VHF-band radio-wave propagation is one such claimed short-term precursor; physical preparatory processes of earthquakes may produce/attract electromagnetic scatterers in the area over the source of the impending earthquake (Kushida and Kushida, 2002, Moriya et al.,2010). Hokkaido University has been monitoring this anomalous propagation in several regions in Japan. On April 14th 2016, an Mw 6.5 earthquake occurred in Kumamoto, which was followed by a nearby greater Mw 7.3 event on April 16th. Just before these events, anomalous propagation of the VHF radio wave from an FM station in Miyazaki was observed at Shimabara receiving station. Epicenters of these Kumamoto events were between the broadcast and receiving stations. To evaluate the statistical significance of the tendency that such anomalies precede impending earthquakes in this region, we made a spatio-temporal map of earthquake alarm (though for only one spatial grid, which is the region between the Miyazaki broadcast and the Shimabara receiving stations) based on the data for 2015 to 2016; after anomaly appears, we turn ON the alarm for a certain period of time L, and thus divide the whole observation period into “Alarm ON”, “Alarm OFF”, and “Undecided (due to missing data)” periods. The alarm map was compared with the occurrence of local earthquakes with M > 4.5 after declustering. The result, the associated p-value was not low enough to suggest the statistical significance.