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谷口 圭輔*; 恩田 裕一*; Smith, H. G.*; Blake, W.*; 吉村 和也; 山敷 庸亮*; 倉元 隆之*
Scientific Data (Internet), 7, p.443_1 - 443_9, 2020/12
被引用回数:8 パーセンタイル:45.54(Multidisciplinary Sciences)Data on radiocesium concentrations and fluxes have been collected in rivers within 80 km of the FDNPP from June 2011, three months after the accident, to the present. That data is available on the web up to March 2017. These data are expected to be widely used for validation of the radiocaesium transport model, comparison between the FDNPP and Chernobyl accidents, influence on the health of residents, and evaluation of the effect of the environmental remediation measures in Fukushima. Therefore, these data set were provided in this data journal.
Martin, P.*; Alhaddad, O.*; Verbelen, Y.*; 佐藤 志彦; 五十嵐 康人*; Scott, T. B.*
Scientific Data (Internet), 7, p.282_1 - 282_8, 2020/08
被引用回数:2 パーセンタイル:16.07(Multidisciplinary Sciences)The 2011 accident at Japan's Fukushima Daiichi Nuclear Power Plant released a considerable inventory of radioactive material into the local and global environments. While the vast majority of this contamination was in the form of gaseous and aerosol species, of which a large component was distributed out over the neighbouring Pacific Ocean (where is was subsequently deposited), a substantial portion of the radioactive release was in particulate form and was deposited across Fukushima Prefecture. To provide an underpinning understanding of the dynamics of this catastrophic accident, alongside assisting in the off-site remediation and eventual reactor decommissioning activities, the "International Particle Analysis Database", or "IPAD", was established to serve as an interactive repository for the continually expanding analysis dataset of the sub-mm ejecta particulate. In addition to a fully interrogatable database of analysis results for registered users (exploiting multiple search methods), the database also comprises an open-access front-end for members of the public to engage with the multi-national analysis activities by exploring a streamlined version of the data.