Japan Geoscience Union Meeting 2019

Presentation information

[J] Oral

M (Multidisciplinary and Interdisciplinary) » M-IS Intersection

[M-IS22] Electromagnetic phenomena associated with seismic and volcanic activities

Wed. May 29, 2019 3:30 PM - 5:00 PM A07 (TOKYO BAY MAKUHARI HALL)

convener:Tetsuya Kodama(Research Unit I, Research and Development Directorate, Japan Space Exploration Agency), Toshiyasu Nagao(Institute of Oceanic Research and development, Tokai University), Chairperson:Tetsuya Kodama, Toshiyasu Nagao

3:45 PM - 4:00 PM

[MIS22-02] Evaluation of ULF seismo-magnetic precursor phenomena at Kakioka, Japan over 1983 – 2018 by using SEA and Molchan’s error diagram

*Katsumi Hattori1, Kei Takahashi2, Peng Han3 (1.Department of Earth Sciences, Graduate School of Science, Chiba University, 2.Department of Earth Sciences, Faculty of Science, Chiba University, 3.Southern University of Science and Technology, China)

Keywords:Earthquake Precursor Phenomena, Statistical Significance, Molchan's Error Diagram Analysis

To clarify and verify the ultralow frequency (ULF) seismo-magnetic phenomena, we have performed statistical studies on the geomagnetic data observed at the Kakioka (KAK) station, Japan, during 1983-2017. We investigated the energy of ULF geomagnetic signals of the frequency around 0.01 Hz using wavelet transform analysis. To minimize the influences of artificial noises and global magnetic perturbations, we used only the geomagnetic data observed at midnight time (LT 2:30 AM to 4:00 AM).We define the geomagnetic anomalies when the Z components of geomagnetic data exceeds median +1.5 IQR, where IQR is the interquartile range. Considering that ionospheric disturbances may also lead to enhancements in the Z component, we exclude the anomaly when the energy of H component exceeds median +3.0 IQR. Statistical analysis of superposed epoch analysis have indicated that ULF magnetic anomalies are more likely to appear before sizable isolated earthquake events rather than after them, especially 6-10 days before the events. Finally, we have evaluated the precursory information of ULF geomagnetic signals for local sizable earthquakes using Molchan’s error diagram. The results show that the ULF seismo-magnetic phenomena at Kakioka clearly contain precursory information and have a possibility of improving forecasting of large earthquakes. The details will be given in the presentation.