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A review of the model comparison of transportation and deposition of radioactive materials released to the environment as a result of the Tokyo Electric Power Company’s Fukushima Daiichi Nuclear Power Plant accident


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Rapport du Sectional Committee on Nuclear Accident and Committee on Comprehensive Synthetic Engineering, Science Council of Japan / 2 septembre 2014

L'IRSN a contribué par sa participation à l'intercomparaison.

Type de document > *Rapport/contribution à GT (papier ou CD-Rom)

Mots clés >

Unité de recherche > IRSN/PRP-ENV/SERIS/LRC, IRSN/PRP-CRI/SESUC/BMCA

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Date de publication > 02/09/2014

Résumé

​This report evaluates and compares the models used to analyze the transportation and deposition of radioactive materials that were released into the environment after the Tokyo Electric Power Compan’s Fukushima Daiichi Nuclear Power Plant (FDNPP) accident on March 11, 2011. A Working Group for Model Intercomparison was formed in July 2012 under the Subcommittee of Investigation on the Environmental Contamination Caused by the Nuclear Accident in the Sectional Committee on Nuclear Accident, the Committee Comprehensive Synthetic Engineering, Science Council of Japan (SCJ). The purpose of this working group (SCJ WG) is to compare existing model results and to assess the uncertainties in the simulation results. The emerging knowledge will be invaluable for various applications designed to mitigate environmental contamination in wide areas. The working group solicited international colleagues and groups to provide their model simulation results for the intercomparison.


This report evaluates the simulation results of nine regional atmospheric models, six global models and eleven oceanic models for the transportation of radioactive materials; the results were provided by the contributing groups that responded to the solicitation. We greatly appreciate the national and international support and assistance in this initiative. We hope that this reports will provide assistance in societal efforts to recover from disasters by providing scientific knowledge of the modeling capability of existing models.