Raphaël Périllat
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View article: Accurate and fast prediction of radioactive pollution by kriging coupled with auto-associative models
Accurate and fast prediction of radioactive pollution by kriging coupled with auto-associative models Open
Uncertainty estimation is a key issue in nuclear crisis situations. Probabilistic methods for taking uncertainties into account in assessments are often costly in terms of the number of simulations and computation time. This is why emulati…
View article: Accurate and fast prediction of radioactive pollution by Kriging coupled with Auto-Associative Models
Accurate and fast prediction of radioactive pollution by Kriging coupled with Auto-Associative Models Open
Uncertainty estimation is a key issue in nuclear crisis situations. Probabilistic methods for taking uncertainties into account in assessments are often costly in terms of the number of simulations and computation time. This is why emulati…
View article: Ranking uncertainties in atmospheric dispersion modelling following the accidental release of radioactive material
Ranking uncertainties in atmospheric dispersion modelling following the accidental release of radioactive material Open
During the pre-release and early phase of an accidental release of radionuclides into the atmosphere there are few or no measurements, and dispersion models are used to assess the consequences and assist in determining appropriate counterm…
View article: Uncertainty propagation in atmospheric dispersion models for radiological emergencies in the pre- and early release phase: summary of case studies
Uncertainty propagation in atmospheric dispersion models for radiological emergencies in the pre- and early release phase: summary of case studies Open
In the framework of the European project CONFIDENCE, Work Package 1 (WP1) focused on the uncertainties in the pre- and early phase of a radiological emergency, when environmental observations are not available and the assessment of the env…
View article: Operationalising an ensemble approach in the description of uncertainty in atmospheric dispersion modelling and an emergency response
Operationalising an ensemble approach in the description of uncertainty in atmospheric dispersion modelling and an emergency response Open
Uncertainties were propagated through the chain of atmospheric dispersion and radiological assessment models based on an ensemble approach for a range of scenarios. It was apparent that the time taken to complete model runs, ranging from s…
View article: Lessons learned from atmospheric modeling studies after the Fukushima nuclear accident: Ensemble simulations, data assimilation, elemental process modeling, and inverse modeling
Lessons learned from atmospheric modeling studies after the Fukushima nuclear accident: Ensemble simulations, data assimilation, elemental process modeling, and inverse modeling Open
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