Screening sensitivity analysis of a radionuclides atmospheric dispersion model applied to the Fukushima disaster
Numerical models used to forecast the atmospheric dispersion of radionuclides following nuclear accidents are subject to substantial uncertainties. Input data, such as meteorological forecasts or source term estimations, as well as poorly known model parameters contribute for a large part to this un...
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Published in | Atmospheric environment (1994) Vol. 95; pp. 490 - 500 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
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01.10.2014
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ISSN | 1352-2310 1873-2844 |
DOI | 10.1016/j.atmosenv.2014.07.010 |
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Abstract | Numerical models used to forecast the atmospheric dispersion of radionuclides following nuclear accidents are subject to substantial uncertainties. Input data, such as meteorological forecasts or source term estimations, as well as poorly known model parameters contribute for a large part to this uncertainty.
A sensitivity analysis with the method of Morris was carried out in the case of the Fukushima disaster as a first step towards the uncertainty analysis of the Polyphemus/Polair3D model. The main difficulties stemmed from the high dimension of the model's input and output. Simple perturbations whose magnitudes were devised from a thorough literature review were applied to 19 uncertain inputs. Several outputs related to atmospheric activity and ground deposition were aggregated, revealing different inputs rankings. Other inputs based on gamma dose rates measurements were used to question the possibility of calibrating the inputs uncertainties.
Some inputs, such as the cloud layer thickness, were found to have little influence on most considered outputs and could therefore be safely discarded from further studies. On the contrary, wind perturbations and emission factors for iodine and caesium are predominant. The performance indicators derived from dose rates observations displayed strong sensitivities. This emphasises the share of the overall uncertainty due to input uncertainties and asserts the relevance of the simple perturbation scheme that was employed in this work.
•We analysed the sensitivity of radionuclides dispersion after the Fukushima disaster.•Winds and source-term related inputs are the most influential.•Clouds characteristics and horizontal diffusion have a very weak influence.•We assessed the inputs probability distributions with gamma dose rate observations. |
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AbstractList | Numerical models used to forecast the atmospheric dispersion of radionuclides following nuclear accidents are subject to substantial uncertainties. Input data, such as meteorological forecasts or source term estimations, as well as poorly known model parameters contribute for a large part to this uncertainty.A sensitivity analysis with the method of Morris was carried out in the case of the Fukushima disaster as a first step towards the uncertainty analysis of the Polyphemus/Polair3D model. The main difficulties stemmed from the high dimension of the model's input and output. Simple perturbations whose magnitudes were devised from a thorough literature review were applied to 19 uncertain inputs. Several outputs related to atmospheric activity and ground deposition were aggregated, revealing different inputs rankings. Other inputs based on gamma dose rates measurements were used to question the possibility of calibrating the inputs uncertainties.Some inputs, such as the cloud layer thickness, were found to have little influence on most considered outputs and could therefore be safely discarded from further studies. On the contrary, wind perturbations and emission factors for iodine and caesium are predominant. The performance indicators derived from dose rates observations displayed strong sensitivities. This emphasises the share of the overall uncertainty due to input uncertainties and asserts the relevance of the simple perturbation scheme that was employed in this work. Numerical models used to forecast the atmospheric dispersion of radionuclides following nuclear accidents are subject to substantial uncertainties. Input data, such as meteorological forecasts or source term estimations, as well as poorly known model parameters contribute for a large part to this uncertainty. A sensitivity analysis with the method of Morris was carried out in the case of the Fukushima disaster as a first step towards the uncertainty analysis of the Polyphemus/Polair3D model. The main difficulties stemmed from the high dimension of the model's input and output. Simple perturbations whose magnitudes were devised from a thorough literature review were applied to 19 uncertain inputs. Several outputs related to atmospheric activity and ground deposition were aggregated, revealing different inputs rankings. Other inputs based on gamma dose rates measurements were used to question the possibility of calibrating the inputs uncertainties. Some inputs, such as the cloud layer thickness, were found to have little influence on most considered outputs and could therefore be safely discarded from further studies. On the contrary, wind perturbations and emission factors for iodine and caesium are predominant. The performance indicators derived from dose rates observations displayed strong sensitivities. This emphasises the share of the overall uncertainty due to input uncertainties and asserts the relevance of the simple perturbation scheme that was employed in this work. •We analysed the sensitivity of radionuclides dispersion after the Fukushima disaster.•Winds and source-term related inputs are the most influential.•Clouds characteristics and horizontal diffusion have a very weak influence.•We assessed the inputs probability distributions with gamma dose rate observations. |
Author | Mallet, Vivien Girard, Sylvain Korsakissok, Irène |
Author_xml | – sequence: 1 givenname: Sylvain surname: Girard fullname: Girard, Sylvain email: sylvain.girard@irsn.fr, pro@sylvaingirard.net organization: Institut de radioprotection et de sûreté nucléaire, 31, avenue de la Division Leclerc, 92260, Fontenay-aux-Roses, France – sequence: 2 givenname: Irène surname: Korsakissok fullname: Korsakissok, Irène email: irene.korsakissok@irsn.fr organization: Institut de radioprotection et de sûreté nucléaire, 31, avenue de la Division Leclerc, 92260, Fontenay-aux-Roses, France – sequence: 3 givenname: Vivien surname: Mallet fullname: Mallet, Vivien email: vivien.mallet@inria.fr organization: Inria, Domaine de Voluceau, BP 105, 78153, Le Chesnay Cedex, France |
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Cites_doi | 10.1021/ac60214a047 10.1016/j.envsoft.2010.04.012 10.1016/S1352-2310(00)00367-8 10.1016/j.atmosenv.2013.10.017 10.1016/0149-1970(91)90043-O 10.1007/BF00122760 10.1016/j.atmosenv.2006.11.057 10.1016/S1352-2310(98)00178-2 10.1016/j.jenvrad.2012.05.023 10.1016/S1352-2310(98)00177-0 10.5194/acp-12-2313-2012 10.1016/j.atmosenv.2013.01.002 10.1016/j.envsoft.2006.10.004 10.1007/BF00117978 10.1109/TCS.1979.1084580 10.1080/00401706.1991.10484804 10.5194/acpd-13-15567-2013 10.5194/acp-7-5479-2007 10.1016/S1352-2310(98)00170-8 10.2113/gselements.8.3.195 10.1016/S1464-1909(01)00087-9 10.5194/acp-2-397-2002 |
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Keywords | Fukushima Polyphemus/Polair3D Sensitivity analysis Atmospheric dispersion Morris method Uncertainty Radioactive pollution Pollutant behavior Radioisotope Nuclear accident Screening Three dimensional model Nuclear power plant Fission reactor accidents Atmospheric pollution forecasting Air pollution Numerical simulation |
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SubjectTerms | accidents Analysis methods Applied sciences atmospheric chemistry atmospheric circulation Atmospheric dispersion Atmospheric pollution cesium emissions factor Environmental Sciences Exact sciences and technology Fukushima iodine mathematical models Morris method Pollution Polyphemus Polyphemus/Polair3D radionuclides screening Sensitivity analysis uncertainty uncertainty analysis wind |
Title | Screening sensitivity analysis of a radionuclides atmospheric dispersion model applied to the Fukushima disaster |
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