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 inAtmospheric environment (1994) Vol. 95; pp. 490 - 500
Main Authors Girard, Sylvain, Korsakissok, Irène, Mallet, Vivien
Format Journal Article
LanguageEnglish
Published Kidlington Elsevier Ltd 01.10.2014
Elsevier
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ISSN1352-2310
1873-2844
DOI10.1016/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.
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
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  givenname: Irène
  surname: Korsakissok
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  givenname: Vivien
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  fullname: Mallet, Vivien
  email: vivien.mallet@inria.fr
  organization: Inria, Domaine de Voluceau, BP 105, 78153, Le Chesnay Cedex, France
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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
Language English
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Snippet Numerical models used to forecast the atmospheric dispersion of radionuclides following nuclear accidents are subject to substantial uncertainties. Input data,...
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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
URI https://dx.doi.org/10.1016/j.atmosenv.2014.07.010
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