Atmospheric dispersion and ground deposition induced by the Fukushima Nuclear Power Plant accident: A local-scale simulation and sensitivity study

Abstract Following the Fukushima Daiichi Nuclear Power Plant (FNPP1) accident on March 2011, radioactive products were released in the atmosphere. Simulations at local scale (within 80 km of FNPP1) were carried out by the Institute of Radiation Protection and Nuclear Safety (IRSN) with the Gaussian Puff model pX, during the crisis and since then, to assess the radiological and environmental consequences. The evolution of atmospheric and ground activity simulated at local scale is presented with a “reference” simulation, whose performance is assessed through comparisons with environmental monitoring data (gamma dose rate and deposition). The results are within a factor of 2–5 of the observations for gamma dose rates (0.52 and 0.85 for FAC2 and FAC5), and 5–10 for deposition (0.31 for FAC2, 0.73 for FAC5 and 0.90 for FAC10). A sensitivity analysis is also made to highlight the most sensitive parameters. A source term comparison is made between IRSN's estimation, and those from Katata et al. (2012) and Stohl et al. (2011) . Results are quite sensitive to the source term, but also to wind direction and dispersion parameters. Dry deposition budget is more sensitive than wet deposition. Gamma dose rates are more sensitive than deposition, in particular peak values.

[1]  Cincinnati WORKBOOK OF ATMOSPHERIC DISPERSION ESTIMATES , 1970 .

[2]  H. Yamazawa,et al.  Preliminary Estimation of Release Amounts of 131I and 137Cs Accidentally Discharged from the Fukushima Daiichi Nuclear Power Plant into the Atmosphere , 2011 .

[3]  Toshimasa Ohara,et al.  Atmospheric behavior, deposition, and budget of radioactive materials from the Fukushima Daiichi nuclear power plant in March 2011 , 2011 .

[4]  Gerhard Wotawa,et al.  Xenon-133 and caesium-137 releases into the atmosphere from the Fukushima Dai-ichi nuclear power plant: determination of the source term, atmospheric dispersion, and deposition , 2011 .

[5]  I. Korsakissok,et al.  Estimation of marine source-term following Fukushima Dai-ichi accident. , 2012, Journal of environmental radioactivity.

[6]  Bruno Sportisse,et al.  A review of parameterizations for modelling dry deposition and scavenging of radionuclides , 2007 .

[7]  Marc Bocquet,et al.  Estimation of Errors in the Inverse Modeling of Accidental Release of Atmospheric Pollutant: Application to the Reconstruction of the Cesium-137 and Iodine-131 Source Terms from the Fukushima Daiichi Power Plant , 2012 .

[8]  Yukihiko Satou,et al.  Assessment of individual radionuclide distributions from the Fukushima nuclear accident covering central-east Japan , 2011, Proceedings of the National Academy of Sciences.

[9]  Alexander Baklanov,et al.  Parameterisation of radionuclide deposition in atmospheric long-range transport modelling , 2001 .

[10]  Vivien Mallet,et al.  Air quality modeling: From deterministic to stochastic approaches , 2008, Computers and Mathematics with Applications.

[11]  A. Mathieu,et al.  Atmospheric Dispersion and Deposition of Radionuclides from the Fukushima Daiichi Nuclear Power Plant Accident , 2012 .

[12]  S. Hanna,et al.  Air quality model performance evaluation , 2004 .

[13]  Haruyasu Nagai,et al.  Atmospheric discharge and dispersion of radionuclides during the Fukushima Dai-ichi Nuclear Power Plant accident. Part II: verification of the source term and analysis of regional-scale atmospheric dispersion. , 2012, Journal of environmental radioactivity.

[14]  L. M. Frohn,et al.  Atmospheric Chemistry and Physics Modelling Transport and Deposition of Caesium and Iodine from the Chernobyl Accident Using the Dream Model , 2002 .

[15]  Haruyasu Nagai,et al.  Atmospheric discharge and dispersion of radionuclides during the Fukushima Dai-ichi Nuclear Power Plant accident. Part I: Source term estimation and local-scale atmospheric dispersion in early phase of the accident. , 2012, Journal of environmental radioactivity.

[16]  Vivien Mallet,et al.  Comparative Study of Gaussian Dispersion Formulas within the Polyphemus Platform: Evaluation with Prairie Grass and Kincaid Experiments , 2009 .

[17]  R. Barthelmie,et al.  Speciated particle dry deposition to the sea surface: results from ASEPS ’97 , 1999 .