JpGU Meeting 2018
Session outline| Multidisciplinary and Interdisciplinary(M) | ||
|---|---|---|
| Session Sub-category | General Geosciences, Information Geosciences & Simulations | |
| Session ID | M-GI27 | |
| Related Fields | S, P, H, A, B | |
| 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 | Takane Hori |
| Affiliation | R&D Center for Earthquake and Tsunami, Japan Agency for Marine-Earth Science and Technology | |
| Session Language | JJ | |
| 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 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 |
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| Time | Presentation No | Title | Presenter | Abstract |
|---|---|---|---|---|
| Oral Presentation May 22 PM1 | ||||
| 13:45 - 14:00 | MGI27-01 | A New Direction of Engineering Simulation Driven by Data Assimilation | Shigeru Obayashi | Abstract |
| 14:00 - 14:15 | MGI27-02 | Semiparametric Adaptive Estimation With Nonignorable Nonresponse | Kosuke Morikawa | Abstract |
| 14:15 - 14:30 | MGI27-03 | Grain Growth Prediction Based on Data Assimilation by Implementing 4DVar on Phase-Field Models | Shin-ichi Ito | Abstract |
| 14:30 - 14:45 | MGI27-04 | Statistical methods for outlier detection | Hideitsu Hino | Abstract |
| 14:45 - 15:00 | MGI27-05 | Machine learning-based geochemical discrimination of magmatictectonic settings | Kenta Ueki | Abstract |
| 15:00 - 15:15 | MGI27-06 | Simple structure estimation via prenet regularization | Kei Hirose | Abstract |
| Oral Presentation May 22 PM2 | ||||
| 15:30 - 15:45 | MGI27-07 | Data-driven scientific approach through Monte Carlo methods | Koji Hukushima | Abstract |
| 15:45 - 16:00 | MGI27-08 | Hydrothermal experiments and data-driven approaches for water-rock reactions | Atsushi Okamoto | Abstract |
| 16:00 - 16:15 | MGI27-09 | Unraveling the controls on the silica metasomatic reactions during serpentinization using the exchange Monte Carlo method. | Ryosuke Oyanagi | Abstract |
| 16:15 - 16:30 | MGI27-10 | Seismic Wavefield Imaging of Long-Period Ground Motion in the Tokyo Metropolitan Area, Japan | Masayuki Kano | Abstract |
| 16:30 - 16:45 | MGI27-11 | Beyond Receiver Functions: Direct Estimation of Green’s Functions Using Reversible-Jump MCMC Method | Takeshi Akuhara | Abstract |
| 16:45 - 17:00 | MGI27-12 | Data-driven approach in geosciences | Masato Okada | Abstract |
| Oral Presentation May 23 AM2 | ||||
| 10:45 - 11:00 | MGI27-13 | Chemical geodynamics based on statistical analyses and forward simulation | Hikaru Iwamori | Abstract |
| 11:00 - 11:15 | MGI27-14 | Analysis of Rock Fracture Patterns by Persistent Homology | Anna Suzuki | Abstract |
| 11:15 - 11:30 | MGI27-15 | Graph theoretic network mapping of rock fracture networks for mechanism classification using machine learning techniques | Kyle Steven Bahr | Abstract |
| 11:30 - 11:45 | MGI27-16 | Spatiotemporal data analysis with dynamic mode decomposition | Yoshinobu Kawahara | Abstract |
| 11:45 - 12:00 | MGI27-17 | Prediction of ground-motion index using a deep neural network | Hisahiko Kubo | Abstract |
| 12:00 - 12:15 | MGI27-18 | Automatic Construction of Generative Model by Deep Learning for Earth and Space Sciences | Tomoyuki Higuchi | Abstract |
| Presentation No | Title | Presenter | Abstract |
|---|---|---|---|
| Poster Presentation May 23 Core Time | |||
| MGI27-P01 | Geochemical database of Japanese islands based on published domestic data: standardization of metadata and chemical data | Satoru Haraguchi | Abstract |
| MGI27-P02 | A new clustering method for geochemical data using spatial contextual information: GEOFCM | Kenta Yoshida | Abstract |
| MGI27-P03 | Effectiveness of use of geological information for geostatistical modeling of metal concentration in deposit | Takuya Kiriyama | Abstract |
| MGI27-P04 | Identifications of shallow slow earthquakes based on deep learning in the Nankai trough | Masaru Nakano | Abstract |
| MGI27-P05 | Application of the Earth Mover's distance (EMD) for a quantitative comparison of SPO data from the rigid particle rotation model and the columnar mineral grain in metamorphic rock | Taroujirou Matumura | Abstract |
| MGI27-P06 | Data-driven approach for understanding and prediction of seismic activity | Takane Hori | Abstract |
| MGI27-P07 | Data assimilation for massive autonomous systems based on a second-order adjoint method | Hiromichi Nagao | Abstract |
| MGI27-P08 | Bayesian estimation with replica exchange Monte Carlo method and application to geochemical problems | Nagata Kenji | Abstract |
| MGI27-P09 | Progress and future prospects of data-driven analysis in solid-earth science | Tatsu Kuwatani | Abstract |