Stochastic estimation of radionuclide composition in wastes generated at Fukushima Daiichi nuclear power station using Bayesian inference
| Autor: | Shingo Tanaka, Ryo Nakabayashi, Yoshikazu Koma, Daisuke Sugiyama, Youko Takahatake |
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| Rok vydání: | 2021 |
| Předmět: |
Nuclear and High Energy Physics
Radionuclide 010308 nuclear & particles physics business.industry Nuclear engineering 0211 other engineering and technologies Radioactive waste 02 engineering and technology Nuclear power Bayesian inference 01 natural sciences Fukushima daiichi Nuclear Energy and Engineering 0103 physical sciences Environmental science 021108 energy business |
| Zdroj: | Journal of Nuclear Science and Technology. 58:493-506 |
| ISSN: | 1881-1248 0022-3131 |
| DOI: | 10.1080/00223131.2021.1884137 |
| Popis: | A modeling calculation methodology for estimating the radionuclide composition in the wastes generated at the Fukushima Daiichi nuclear power station has been upgraded by introducing an approach us... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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