JpGU-AGU Joint Meeting 2020

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[J] Oral

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)

[MGI39-01] Advanced discrimination of paleo-tsunami deposits using data-driven geochemical analysis

*Takeshi Komai1, sando seiichiro1, kengo Nakamura1 (1.Tohoku university)

Keywords:tsunami deposits, geochemical analysis, data-driven analysis

It is useful to utilize geochemical analysis of sampled cores for the discrimination of tsunami deposits at coastal areas. In the study, we collected precise geochemical data of paleo-tsunami deposits using ITRAX analysis and analized the obtained big data by data-driven geo-statistical analysis, in order to discriminate sandy, muddy and coastal materials. As a result, the proposed numerical method can be applied for more precise discrimination of paleo-tsunami deposits, so that some extracted layer data from the data-driven analysis are well matched with the teacher data of the known paleo-tsunami deposits.