Japan Geoscience Union Meeting 2023

Presentation information

[J] Online Poster

S (Solid Earth Sciences ) » S-TT Technology & Techniques

[S-TT41] Seismic monitoring and processing system

Sun. May 21, 2023 3:30 PM - 5:00 PM Online Poster Zoom Room (3) (Online Poster)

convener:Yasuhiro Matsumoto(Kozo Keikaku Engineering), Takumi Hayashida(International Institute of Seismology and Earthquake Engineering, Building Research Institute)

On-site poster schedule(2023/5/21 17:15-18:45)

3:30 PM - 5:00 PM

[STT41-P03] An example analysis of high precision Geophysical observations with Hilbert-Huang Transform

*Makoto OKUBO1,5, Hirotaka Takahashi5, Akito Araya3, Satoshi Itaba2, Masaki Kanao4 (1.Natural Science Cluster, Kochi University, 2.National Institute of Advanced Industrial Science and Technology, 3.Earthquake Research Institute, University of Tokyo, 4.National Institute of Polar Research, 5.Tokyo City University)

Keywords:Hilbert-Huang Transform, Geophysical observations, ultra wideband/high precision

High-precision geophysical observations are necessary to observe minute variations occurring in the Earth's deep interior. In many cases, only very long-period fluctuations are observable because short-period fluctuations are attenuated during the propagation from deep to the earth's surface. Therefore, the instruments are required to have ultra-wide bandwidth and high accuracy. In recent years, instruments capable of such ultra-broadband and high-precision observations have become available. ROIS-DS joint project [015RP2021, 018RP2022] has enabled us to start trying to develop a method to detect interested deep phenomena from the ultra-wide bandwidth observation recordings.
We try to apply a signal extraction method based on the Hilbert-Huang transform (HHT) combined with strain analysis. We present here a laser extensometer with 1500 m baseline length 10-13 accuracy (e.g., Araya, 2017), a multi-component borehole strainmeter (e.g., Okubo et al., 2005 and Itaba et al., 2018), and a superconducting gravimeter (Yokoyama et al., 2017) as an example of high S/N.

Acknowledgement:
We would like to express their gratitude to the following organizations for their support: ROIS-DS joint [No. 015RP2021, 018RP2022] supports to conduct this research. The crustal deformation database operated by Hokkaido University was used to obtain the gravimetric data.