Multidisciplinary and Interdisciplinary (M)
Session Sub-category General Geosciences, Information Geosciences & Simulations(GI)
Session ID M-GI28
Title Data-driven geosciences
Short Title Data-driven geosciences
Main Convener Name Tatsu Kuwatani
Affiliation Japan Agency for Marine-Earth Science and Technology
Co-Convener 1 Name Hiromichi Nagao
Affiliation Earthquake Research Institute, The University of Tokyo
Co-Convener 2 Name Kenta Ueki
Affiliation Japan Agency for Marine-Earth Science and Technology
Co-Convener 3 Name Shin-ichi Ito
Affiliation The University of Tokyo
Session Language 
J
Scope 
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.
Presentation Format Oral and Poster presentation
Invited Authors Kazutaka Yasukawa (Frontier Research Center for Energy and Resources, School of Engineering, The University of Tokyo)
Time Presentation No Title Presenter
Oral Presentation May 27 PM2
15:30 - 15:45 MGI28-01 Statistical-mechanical prediction of landslide occurrence using structured geological map data Kazuhiro Miyazaki
15:45 - 16:00 MGI28-02 Deep Temperature Estimation Using Neural Network in the Production and Reinjection Zones of Berlín Geothermal Field, El Salvador Carlos Andres Asuncion Alas
16:00 - 16:15 MGI28-03 Automatic detection of atmospheric Lamb waves by inverse problem Kensuke Nakajima
16:15 - 16:30 MGI28-04 Unsupervised machine learning approach for regional geochemical data from North Atlantic Igneous Province: Implications for LAB and plume-rift interaction Sayantani Chatterjee
16:30 - 16:45 MGI28-05 Utility of geochemical data analysis based on non-Gaussianity Kazutaka Yasukawa
Presentation No Title Presenter
Poster Presentation May 27 PM3
MGI28-P01 Estimation of lithology and geofluid parameters from seismic velocities and electrical resistivity using Bayesian inference Tatsu Kuwatani
MGI28-P02 Data assimilation for reconstruction of thermal convection using a marker-and-cell system Atsushi Nakao
MGI28-P03 Analysis of mantle processes based on multivariate analysis of compositional data from mantle sections of Oman ophiolite Yuto Miki
MGI28-P04 Establishment of rock shape analysis method using 3D scanner:
Application to the Analysis of Pyroclastic Flow Deposits from the 1929 Eruption of Hokkaido-Komagatake Volcano. 		Kosuke Ishige
MGI28-P05 Data-driven estimation of spatiotemporal nonlinear dynamics of heterogeneous reaction Toshiaki Omori
MGI28-P06 Characterization of porosity structures produced by Alteration of Feldspar: insights from hydrothermal alteration and persistent homology Shuhei Fujiwara
MGI28-P07 Development of a machine learning-based method for predicting the concentrations and identifying the sources of heavy metals in river water Denghui Zhu