Session Details
[M-GI29][EJ] Data-driven analysis, modeling and prediction in geosciences
Sat. May 20, 2017 1:45 PM - 3:15 PM JST
Sat. May 20, 2017 4:45 AM - 6:15 AM UTC
Sat. May 20, 2017 4:45 AM - 6:15 AM UTC
Poster Hall International Exhibition Hall HALL7_10
convener:Tatsu Kuwatani(Japan Agency for Marine-Earth Science and Technology), Dmitri Kondrashov(University of California, Los Angeles), Hiromichi Nagao(Earthquake Research Institute, The University of Tokyo), Sergey Kravtsov(University of Wisconsin Milwaukee)
It is important to extract essential processes and structures from observed datasets in order to understand and predict the dynamic behavior of the earth and planetary systems. Recently, powerful data-driven methodologies have been proposed to extract, model and predict useful information contained in high-dimensional datasets that are ubiquitous in earth and space. This session aims to provide an opportunity to highlight recent advances in such data-driven techniques across disciplines and to have a productive discussion for interdisciplinary collaborations.
[MGI29-P01]Geochemical database of Japanese islands for data-driven science: problem and solution of published domestic data
*Satoru Haraguchi1, Kenta Ueki2, Kenta Yoshida1, Tatsu Kuwatani1, Hikaru Iwamori1 (1.Japan Agency for Marine-Earth Science and Technology, 2.Earthquake Researc Institute, University of Tokyo)
[MGI29-P02]Geochemical characteristics of paleo-tsunami deposits using multiple classification analysis
*Kengo Nakamura1, Catherine Chagué-Goff2, Takeshi Komai1 (1.Tohoku University, Graduate School of Environmental Studies, 2.School of Biological, Earth and Environmental Sciences)
[MGI29-P03]Sparse feature selection for clustering and sample-wise distance, with application to geochemical data
*Kenta Ueki1, Hideitsu Hino2 (1.Earthquake Research Institute, The University of Tokyo, 2.Graduate School of Systems and Information Engineering, University of Tsukuba)
[MGI29-P04]Cluster analyses for volcanic pyroclasts using grain shapes
*Rina Noguchi1, Hideitsu Hino2 (1.Volcano Fluid Research Center, Depertment of Science, Tokyo Institute of Technology, 2.Department of Computer Science, Graduate School of Systems and Information Engineering University of Tsukuba)
[MGI29-P05]Fast and precise quantitative compositional mapping and its application to the Nové Dvory ultra-high pressure eclogite.
*Atsushi Yasumoto1, Takao Hirajima1 (1.Department of geology and mineralogy, Kyoto University)
[MGI29-P06]AN EVALUATION OF THE APPLICATION OF X-RAY MICROSCOPY IN UNDERSTANDING GOLD LOSSES IN TAILINGS
*Shaun Graham1, C. Brough2 (1.Carl Zeiss Microscopy, 2.Petrolab Limited C Edwards Offices)
[MGI29-P07]Progressive evolution of the whole rock composition during metamorphism revealed by machine learning technique
*Kenta Yoshida1, Tatsu Kuwatani1,2, Takao Hirajima3, Hikaru Iwamori1, Shotaro Akaho4 (1.Japan Agency for Marine-earth Science and Technology, 2.PRESTO, Japan Science and Technology Agency, 3.Kyoto University, 4.National Institute of Advanced Industrial Science and Technology)
[MGI29-P08]Automatic detection of Martian dust storm's area using basis images extracted by Independent Components Analysis
*Ryusei Gichu1, Kazunori Ogohara1, Yuji Hatanaka1, Wataru Sunayama1 (1.The University of Shiga Prefecture)
[MGI29-P09]High precision hydrothermal plume survey based on multi-sensor data processing
*Ayu Takahashi1, Kazuya Kitada1, Junichi Miyazaki1, Hidenori Kumagai1 (1.Japan Agency for Marine-Earth Science and Technology)
[MGI29-P10]Chemostratigraphic analysis on the Middle Triassic (Anisian) Oceanic Anoxic Events
*Katsuhito Soda1, Daisuke Yamashita1, Tetsuji Onoue1 (1.Department of Earth and Environmental Sciences, Faculty of Science, Kumamoto University)
[MGI29-P11]Change point in log-periodic power law time series of atmospheric radon concentration
*Daichi Iwata1, Hiroyuki Nagahama1, Jun Muto1, Yumi Yasuoka2 (1.Dept. Geol., Grad. Sch. Sci., Tohoku Univ., 2.Inst. Radioisot. Res., Kobe Pharm. Univ.)
[MGI29-P12]Modelling nitrous oxide emissions in a wheat-maize system of North China Plain
*Jingjing Xu1 (1.Institute of Atmospheric Physics, Chinese Academy of Sciences)
[MGI29-P13]Seismic wavefield imaging in the Tokyo metropolitan area, Japan, based on the replica exchange Monte Carlo method
*Masayuki Kano1, Hiromichi Nagao1,2, Kenji Nagata3,4, Shin-ichi Ito1, Shin'ichi Sakai1, Shigeki Nakagawa1, Muneo Hori1, Naoshi Hirata1 (1.Earthquake Research Institute, The University of Tokyo, 2.Graduate School of Information Science and Technology, The University of Tokyo, 3.National Institute of Advanced Industrial Science and Technology, 4.Presto, Japan Science and Technology Agency)
[MGI29-P14]Stochastic modeling of temperature extremes over continental US and Canada
*Sergey Kravtsov1, Paul Roebber1, Vytaras Brazauskas1 (1.University of Wisconsin Milwaukee)
[MGI29-P15]Data driven analysis for a prediction method of arsenic adsorption to soils
*Kota Kurosawa1, Kengo Nakamura1, Takeshi Komai1 (1.Tohoku University)
[MGI29-P16]Multivariate analysis on major element compositions of Apollo 16 impact melt
*Takafumi Niihara1,2, Hideaki Miyamoto3, David Kring2 (1.The Univesity Museum, The University of Tokyo, 2.Lunar and Planetary Institute, 3.School of Engineering, The University of Tokyo)
[MGI29-P17]Trans-dimensional imaging of random velocity inhomogeneity at southern Ryukyu arc
*Tsutomu Takahashi1, Yasushi Ishihara1, Yuka Kaiho1, Yojiro Yamamoto1, Koichiro Obana1, Seiichi Miura1, Shuichi Kodaira1, Yoshiyuki Kaneda2 (1.Japan Agency for Marine-Earth Science and Technology, 2.Kagawa Univ.)
[MGI29-P18]Si-metasomatism during sea floor serpentinization and estimation of its kinetic parameters
*Ryosuke Oyanagi1, Atsushi Okamoto1, Noriyoshi Tsuchiya1 (1.Graduate School of Environmental Studies, Tohoku University)
[MGI29-P19]Impact of COSMIC GPSRO assimilation on Indian summer monsoon simulation using variable resolution LMDZ5-DART data assimilation system
*Tarkeshwar Singh1, Sourabh Kumar2, Rashmi Mittal3, H. C. Upadhyaya4 (1.Centre for atmospheric Sciences, Indian Institute of technology Delhi, New Delhi, India, 2.Department of Mechanical Engineering, Indian Institute of technology Delhi, New Delhi, India, 3.IBM Research, New Delhi, India, 4.Centre for atmospheric Sciences, Indian Institute of technology Delhi, New Delhi, India)
[MGI29-P20]Projective analysis of staple food crop productivity in adaptation to future climate change in China
*Qing Zhang1, Wen Zhang1, Tingting Li1, Wenjuan Sun2, Yongqiang Yu1, Guocheng Wang1 (1.LAPC, Institute of Atmospheric Physics, Chinese Academy of Sciences, 2.LVEC, Institute of Botany, Chinese Academy of Sciences)
[MGI29-P21]Optimization of non-ideal parameters of amphibole solid solution using exchange Monte Carlo Method
*Atsushi Okamoto1, Tatsu Kuwatani2, Kenta Ueki3, Toshiaki Omori4, Koji Hukushima5 (1.Graduate School of Environmental Studies, Tohoku University, 2.Japan Agency for Marine-Earth Science and Technology, 3.Earthquake Research Institute, The University of Tokyo, 4.Kobe University, 5.University of Tokyo)
[MGI29-P22]Statistical approach in the microboudin method for palaeostress analysis: reliability of the relationship between far-field differential stress and proportion of microboudinage structure of columnar grains
*Taroujirou Matumura1, Toshiaki Masuda2 (1.Graduate School of Science and Technology, Shizuoka University, 2.Institute of Geosciences, Shizuoka University)