[J] Poster

M (Multidisciplinary and Interdisciplinary) » M-GI General Geosciences, Information Geosciences & Simulations

[M-GI39] Data-driven geosciences

convener:Tatsu Kuwatani(Japan Agency for Marine-Earth Science and Technology), Hiromichi Nagao(Earthquake Research Institute, The University of Tokyo), Kenta Ueki(Japan Agency for Marine-Earth Science and Technology), Shin-ichi Ito(The University of Tokyo)

It is important to extract essential processes and structures from observed data sets in order to understand and predict the dynamic behavior of the earth and planetary systems. Recently, many powerful methodologies have been proposed to extract useful information from high-dimensional data sets in mathematical and information sciences. This session aims to provide an opportunity to gather various geoscientists to have a productive discussion for interdisciplinary collaborations.

+Add all to schedule

[MGI39-P01] Global Seismicity Dynamics – Synchronicity in Correlated Seismicity of Global Subduction and Ridge Zone

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

[MGI39-P02] Forward modeling and inversion analysis for geochemical-process extraction: an application to chemical compositions of surface soils in Ibaraki Prefecture, Japan

*Tatsu Kuwatani¹, Kengo Nakamura², Shotaro Akaho³, Takeshi Komai² (1.Japan Agency for Marine-Earth Science and Technology (JAMSTEC), 2.Tohoku University, 3.National Institute of Advanced Industrial Science and Technology (AIST),)

[MGI39-P03] Geochemical characteristics of Japan Arc basements from the geochemical database, and origin of these characteristics

*Satoru Haraguchi¹, Kenta Ueki², Hikaru Iwamori¹ (1.Earthquake Research Institute, University of Tokyo, 2.Japan Agency for Marine-Earth Science and Technology)

[MGI39-P04] Estimation of mass transfer and protolith composition for mafic metamorphic rocks using machine learning

*Matsuno Satoshi¹, Masaoki Uno¹, Atsushi Okamoto¹, Noriyoshi Tsuchiya¹ (1.Tohoku University)

[MGI39-P05] Numerical Evaluation of geochemical discrimination of tsunami deposits by HCA(Hierarchical Clustering Analysis)

*Satoh Kenta¹, Noriyoshi Tsuchiya¹ (1.Graduate school of environmental studies)

[MGI39-P06] Characterization of permeability based on topological data of fracture network

*Anna Suzuki¹, Miyuki Miyazawa¹, James Minto², Takeshi Tsuji³, Takatoshi Ito¹ (1.Tohoku Univ., 2.Univ. of Strathclyde, 3.Kyushu Univ.)

[MGI39-P07] Bayesian Data-driven Approach for Extracting Nonlinear Dynamics of Heterogeneous Reactions

*MASAKI ITO¹, Tatsu Kuwatani², Ryosuke Oyanagi², Toshiaki Omori¹ (1.Kobe University, 2.JAMSTEC)

[MGI39-P08] Super-resolution for seafloor topography using deep convolutoinal neural networks

*Mitsuko Hidaka¹, Daisuke Matsuoka¹, Tatsu Kuwatani¹, Yukari Kido¹, Junji Kaneko¹, Takafumi Kasaya¹, Eiichi Kikawa¹ (1.Japan Agency for Marine-Earth Science and Technology )

[MGI39-P09] Detection of hydrothermal alteration zones distribution by applying linear unmixing method to hyperspectral satellite imagery for densely vegetated geothermal area

*Hiroaki Gonnokami¹, Taiki Kubo¹, Arie Naftali Hawu Hede², Asep Saepuloh², Katsuaki Koike¹ (1.Laboratory of Environmental Geosphere Engineering, Department of Urban Management, Graduate School of Engineering, Kyoto University, 2.Bandung Institute of Technology)

Session information

[M-GI39] Data-driven geosciences