JpGU-AGU Joint Meeting 2017

Presentation information

[JJ] Oral

M (Multidisciplinary and Interdisciplinary) » M-IS Intersection

[M-IS12] [JJ] Electromagnetic phenomena associated with seismic and volcanic activities

Thu. May 25, 2017 1:45 PM - 3:15 PM 103 (International Conference Hall 1F)

convener:Tetsuya Kodama(Research Unit I, Research and Development Directorate, Japan Space Exploration Agency), Yasuhide Hobara(Graduate School of Information and Engineering Department of Communication Engineering and Informatics, The University of Electro-Communications), Toshiyasu Nagao(Institute of Oceanic Research and development, Tokai University), Chairperson:Toshiyasu Nagao(Institute of Oceanic Research and development, Tokai University), Chairperson:Tetsuya Kodama(Research Unit I, Research and Development Directorate, Japan Space Exploration Agency)

2:15 PM - 2:30 PM

[MIS12-03] 2D and 3D structures of Ionospheric anomalies preceding the large earthquake

*Katsumi Hattori1, Peng Han2, Shinji Hirooka1, Mustafa Yagmur1, Chie Yoshino1, Takaaki Kobari1, Jann-Yenq Liu3 (1.Department of Earth Sciences, Graduate School of Science, Chiba University, 2.Institute of Statisitical Mathematics, Japan, 3.National Central University, Taiwan)

Keywords:TEC, Ionospheric Tomography, Ionospheric anomalies preceding the large earthquake

Many papers on ionospheric anomalies possibly associated with large earthquakes have been reported. As for the Ionospheric approach, it is important to reduce the effect of geomagnetic storms. The influences of a magnetic storm on TEC variations depend on the intensity and onset time of the storm. In this study, to clarify such dependences, we applied classification analysis method to the storm data (Dst) and discussed the response of TEC variation to each type of storm. We picked out all the 294 geomagnetic storms during 1998-2013, and classified them into 3 types in magnitude and 4 types in the onset time (local time). A bootstrap method is used to calculate the average variation of the TEC for each type of storm. Then, we could find the accurate period affected by each type of storm. Next we performed statistical analysis of the TEC anomalies possibly associated with large earthquakes in Japan area during 1998-2013. There are statistical significance of positive TEC anomalies 1-5 days before and 16-20 days after M>=6.0 earthquakes. The significance of 16-20 days after earthquakes may be due to aftershock effects of the Tohoku earthquake. Then, we used the Molchan’s error diagram to evaluate the efficiency of TEC anomalies for short-term earthquake forecasts. The result indicates that the predictions based on TEC anomalies are better than random guess, which suggests that the TEC anomalies contain certain precursory information of earthquakes.As for the tomographic approach, we investigate the spatial and temporal distribution of ionospheric electron density prior to the 2011 Tohoku earthquake (Mw9.0) and additional large earthquakes in Japan. We found the common TEC increase on 1-5 days prior to the earthquakes was remarkable and the electron density was decreased around the east-region of reconstructed area above the epicenter around 250 km altitude and increased the wide area around 3-400 km, respectively. We also analyzed several cases for ionospheric storms using the tomography. The detailed results will be presented in my talk.