REAL-TIME USE OF INVERSE MODELING TECHNIQUES TO ASSESS THE ATMOSPHERIC ACCIDENTAL RELEASE OF A NUCLEAR POWER PLANT
| Autor: | Olivier Saunier, Anne Mathieu, Damien Didier, Irène Korsakissok, T. Doursout |
|---|---|
| Přispěvatelé: | PSE-SANTE/SESUC/BMCA, Institut de Radioprotection et de Sûreté Nucléaire (IRSN), PSE-SANTE/SESUC, PSE-ENV/SEREN/BERAP |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
010504 meteorology & atmospheric sciences
Health Toxicology and Mutagenesis Inverse Thermal power station 01 natural sciences 7. Clean energy 030218 nuclear medicine & medical imaging law.invention 03 medical and health sciences 0302 clinical medicine law Nuclear power plant Safety Risk Reliability and Quality Process engineering Waste Management and Disposal 0105 earth and related environmental sciences Emergency management Renewable Energy Sustainability and the Environment business.industry Public Health Environmental and Occupational Health Atmospheric dispersion modeling Term (time) Nuclear Energy and Engineering Accident management 13. Climate action [SDE]Environmental Sciences Environmental science Dose rate business |
| Zdroj: | Radioprotection Radioprotection, EDP Sciences, 2020, 55, pp.107-115. ⟨10.1051/radiopro/2020044⟩ |
| ISSN: | 0033-8451 1769-700X |
| Popis: | International audience; The assessment of the source term including the time evolution of the release rate into the atmosphere and its distribution between radionuclides is one of the key issues in the understanding of the consequences of a nuclear accident. Inverse modeling methods which combine environmental measurements and atmospheric dispersion models have been proven to be efficient in assessing the source term due to an accidental situation. We developed our own tool which has been applied to the Fukushima accident by using dose rate measurements and air concentration measurements. The inverse modeling tool has been implemented and tested during exercises implying fictitious radioactive releases with the aim of testing this method for emergency management. The exercises showed the relevance of the inverse modeling tool and it is a rewarding experience which helped us to identify the required developments for the purpose of an operational use. |
| Databáze: | OpenAIRE |
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