JpGU-AGU Joint Meeting 2020

Presentation information

[E] Poster

A (Atmospheric and Hydrospheric Sciences ) » A-OS Ocean Sciences & Ocean Environment

[A-OS25] Continental-Oceanic Mutual Interaction: Planetary scale Material Circulation

convener:Yosuke Alexandre Yamashiki(Earth & Planetary Water Resources Assessment Laboratory Graduate School of Advanced Integrated Studies in Human Survivability Kyoto University), Yukio Masumoto(Graduate School of Science, The University of Tokyo), Swadhin Behera(Climate Variation Predictability and Applicability Research Group, Application Laboratory, JAMSTEC, 3173-25 Showa-machi, Yokohama 236-0001), Takanori Sasaki(Department of Astronomy, Kyoto University)

[AOS25-P07] Continental-Oceanic Material and Non-Material Interaction: Investigating Methodologies for Heterogenous Dataset Integration

*Andrea Yuri Flores Urushima1, Yosuke Alexandre Yamashiki1, Takeshi Ise1, Yoh Yamashita1 (1.Kyoto University)

Keywords:Yuragawa Watershed, Continental-Oceanic Interaction, Heterogenous Data

This research aims to develop a methodology that allows to correlate the human perception of watersheds’ change with oceanic water quality change due to run off from a hydrographic system. This will be done through correlating heterogenous datasets from natural and social sciences between 2003-2019 with a focus on the case study of Yuragawa watershed. This investigation will discuss research pathways that potentially allow to relate Chlorophyll-a variation at river mouth with the results from the text mining analysis of articles which mention the Yuragawa River from newspapers’ database. This research responds to recent trends addressing complex systems, such as the European FuturICT Project, that emphasizes the relevance of combining heterogenous datasets, of both quantitative and qualitative data, from natural and social sciences. This is a preliminary study that aims at investigating the possible threads of correlation between two types of datasets that are rarely analysed together. While text mining has been increasingly used to investigate social behavior prediction, chlorophyll-a data has been mainly used in natural sciences as a bio-chemical description of water nutrients. The relevance of using newspaper text mining data to analyze environmental change is that this type of data allows to combine cognitive and emotional perception of human everyday life needs to the analysis of natural changes.