Japan Geoscience Union Meeting 2016

Presentation information

Oral

Symbol M (Multidisciplinary and Interdisciplinary) » M-TT Technology & Techniques

[M-TT27] New frontier of data analysis in geoscience: Data-driven approach

Sun. May 22, 2016 1:45 PM - 3:15 PM A04 (APA HOTEL&RESORT TOKYO BAY MAKUHARI)

Convener:*Tatsu Kuwatani(Japan Agency for Marine-Earth Science and Technology), Takeshi Komai(none), Hideaki Miyamoto(The University Museum, The University of Tokyo), Katsuaki Koike(Laboratory of Environmental Geosphere Engineering, Department of Urban Management, Graduate School of Engineering, Kyoto University), Takane Hori(R&D Center for Earthquake and Tsunami, Japan Agency for Marine-Earth Science and Technology), Hiromichi Nagao(Earthquake Research Institute, The University of Tokyo), Chair:Masaoki Uno(Graduate School of Environmental Studies, Tohoku University), Peng Hong(The University Museum, The University of Tokyo)

2:45 PM - 3:00 PM

[MTT27-05] CONSTITUTIVE DYNAMICAL SYSTEMS OF SOLID EARTH MECHANICS FROM DATA DRIVEN SCIENCE

★Invited papers

*mitsuhiro toriumi1 (1.Japan agency of marine science and technology)

Keywords: reconstructive dynamical system, solid earth processes, dimension reduction

CONSTITUTIVE DYNAMICAL SYSTEMS OF SOLID EARTH MECHANICS FROM DATA DRIVEN SCIENCE
Toriumi, M. (OELE, Jamstec)
Explosive massive data flow of seismic activities in the solid earth and related to the volcanic activities takes a new insight of dynamic processes involving complicated basic mechanisms and various inhomogeneities of present systems by means of reconstruction of the attractors in the high dimensional phase space. Recent data science studies of global geochemical data of ridge basalts clarified the global chemical inhomogeneity of the whole mantle hemisphere, indicating the long term mantle hydration by plate subduction by Iwamori (1). Besides, Toriumi (2) studied the seismic activities of the plate boundary zones using the cross correlation method to apply the dimension reduction of the local mechanical states of the crust and mantle. Further, Kuwatani et al. (3) applied the Markov random field model for fluid phase regional patterns in the uppermost mantle from tomographic data.
Reconstruction of the attractors of the dynamical systems of plate boundary mechanics is possibly obtained by means of dimension reduction method using deep learning processing of time series data of seismicity and eruption related seismicity. In this paper, the author intends to discuss the possibilities of big data analyses for constitutive dynamical system in the solid earth process in the case of mechanical evolution of the plate boundary and the volcanic process.
(1), Iwamori, H. EPSL, 2013, (2), Toeiumi,M. Proceeding Math for Ind., 2012. (3), Kuwatani,R., Nagata, T., Okada, M., and M.Toriumi, 2014.