Japan Geoscience Union Meeting 2022

Presentation information

[J] Poster

M (Multidisciplinary and Interdisciplinary) » M-AG Applied Geosciences

[M-AG39] Radioisotope migration: New development for dynamics study of radionuclides from 1F NPP accident

Tue. May 31, 2022 11:00 AM - 1:00 PM Online Poster Zoom Room (33) (Ch.33)

convener:Daisuke Tsumune(Central Research Institute of Electric Power Industry), convener:Yuichi Onda(Center for Research on Isotopes and Environmental Dynamics, University of Tsukuba), convener:Yoshio Takahashi(Department of Earth and Planetary Science, Graduate School of Science, The University of Tokyo), convener:Akira Kirishima(Tohoku University), Chairperson:Daisuke Tsumune(Central Research Institute of Electric Power Industry), Yuichi Onda(Center for Research on Isotopes and Environmental Dynamics, University of Tsukuba)

11:00 AM - 1:00 PM

[MAG39-P05] Environmental Radioactivity Database of Fukushima Daiichi Nuclear Plant accident: II

*Michio Aoyama1, Naoko Otani1, Yuichi Onda1 (1.Center for Research in Isotopes and Environmental Dynamic, Faculty of Life and Environmental Sciences, University of Tsukuba)

Keywords:Fukushima Daiichi Nuclear Power Plant, dataset, Digital Object Identifier, Environmental Radioactivity

Since June 2019, we started a project to publish environmental radioactivity data with DOI, Digital Object Identifier and we have been publishing datasets from our database site during these three years under a project ERAN, Environmental Radioactivity Research Network Center. Regardless of terrestrial, marine, atmosphere, biological, and human environments, all measured data on environmental radioactivity after the Fukushima Daiichi Nuclear Power Plant (FNPP1) accident and metadata on samples can be published with DOI at an English website. In addition to publish datasets through our system, people can also search raw data in this site by specifying the time, latitude, longitude, altitude/depth, space, name of radionuclide and type of sample throughout the dataset in this system.
In this presentation, we introduce the outline of the current database site and the future plans of this work. Our main target of the dataset to be published from our site are the data measured after the FNPP1 accident and held by researchers and government agencies. Because if raw data were not published nor they were only reports written in Japanese, they will be dissipated and will not hand to future generations. Therefore these data should be collected, then formatted, and given a DOI. Finally, they can be published with metadata. Our activities ensure that the raw data can be transferred to future generations. In addition to the data published on this site, preparations have been made to search for publicly available data from organizations such as the IAEA and Japanese government agencies and regulatory agencies that have already been published in various forms. Research and monitoring data conducted before the FNPP1 accident will be also collected and made public for future generations.
In addition to the measurement data, lists of literature regarding the FNPP1 accident and the sample archive datasets related to environmental radioactivity are also published with DOI. Since the existing amount of the archived samples might change according to the usage situation, the latest information on the existing sample amount can be retrieved through our data retrieval system same as the data retrieval system for published datasets.
The open policy at our site is fully disclosed under the Creative Commons Attribution 4.0 International License.
In January 2022, 38 datasets were published with DOI and 55 datasets are in progress. The number of access to our web pages is around 150-260 per month and the number of downloads of each dataset is around several to 10 per dataset per month.
We also prepare to publish relatively large datasets of the results of model simulations. We start to operate a Network Attached Storage (NAS) of which capacity is 24 TB per unit for this task. We set that the size of a dataset of the results of model simulations should be less than 128 GB because of the capacity of network download speed. Therefore now our DB site can handle normal size datasets and also large datasets, too.
The challenge is how to increase the types and number of data in the future and how to make the system easy to use. We would like your cooperation for future study and generations. Submit your dataset to us, please.