Atmospheric dispersion of argon-41 from a nuclear research reactor: measurement and modelling of plume geometry and gamma radiation field

Lauritzen, Bent; Astrup, Poul; Drews, Martin; Jørgensen, Hans Ejsing; Mikkelsen, Torben; Thykier-Nielsen, Søren; Aage, Helle Karina; Korsbech, Uffe C C; Bargholz, Kim; Rojas-Palma, C.; Ammel, R. Van

doi:10.1504/ijep.2003.004244

Cited by 11 publications

(4 citation statements)

References 7 publications

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“…A similar discrepancy between measured and calculated values has previously been observed in deterministic calculations with the Rimpuff atmospheric dispersion model, used in EU decision support systems (19) . In these calculations, where the input data are the measured source term and a theoretical plume height, the fluence rates are found to exceed the measured values by up to approximately a factor of two (20) .…”

Section: Discussionmentioning

confidence: 90%

Analysis of a Kalman filter based method for on-line estimation of atmospheric dispersion parameters using radiation monitoring data

Drews

Lauritzen

Madsen

2004

Radiation Protection Dosimetry

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A Kalman filter method is discussed for on-line estimation of radioactive release and atmospheric dispersion from a time series of off-site radiation monitoring data. The method is based on a state space approach, where a stochastic system equation describes the dynamics of the plume model parameters, and the observables are linked to the state variables through a static measurement equation. The method is analysed for three simple state space models using experimental data obtained at a nuclear research reactor. Compared to direct measurements of the atmospheric dispersion, the Kalman filter estimates are found to agree well with the measured parameters, provided that the radiation measurements are spread out in the cross-wind direction. For less optimal detector placement it proves difficult to distinguish variations in the source term and plume height; yet the Kalman filter yields consistent parameter estimates with large associated uncertainties. Improved source term assessment results, when independent estimates of the plume height can be used. Perspectives for using the method in the context of nuclear emergency management are discussed, and possible extensions to the present modelling scheme are outlined, to account for realistic accident scenarios.

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Section: Discussionmentioning

confidence: 90%

Analysis of a Kalman filter based method for on-line estimation of atmospheric dispersion parameters using radiation monitoring data

Drews

Lauritzen

Madsen

2004

Radiation Protection Dosimetry

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“…The experience over the last decades showed that for facilities, e.g. nuclear power plants, research reactors and research facilities with accelerator tunnels, there is a permanent activity emission during normal operation that mainly contains airborne radionuclides [17][18][19][20][21][22][23][24]. For most of these facilities 41 Ar is one of the major contributors to the radiation release.…”

Section: Contextmentioning

confidence: 99%

Neutron activation and prompt gamma intensity in Ar/CO 2 -filled neutron detectors at the European Spallation Source

Dian

Kanaki

Hall-Wilton

et al. 2017

Applied Radiation and Isotopes

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Monte Carlo simulations using MCNP6.1 were performed to study the effect of neutron activation in Ar/CO neutron detector counting gas. A general MCNP model was built and validated with simple analytical calculations. Simulations and calculations agree that only the Ar activation can have a considerable effect. It was shown that neither the prompt gamma intensity from theAr neutron capture nor the produced Ar activity have an impact in terms of gamma dose rate around the detector and background level.

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“…EKF is only applicable to weakly nonlinear system, because of 'closure' problem. In 2001, the Belgian Nuclear Research Center conducted an atmospheric tracer experiment of Ar-41 (Lauritzen et al, 2003). Basing on this experiment, Martin Drews used EKF to estimate the source term and parameters of Gaussian plume model.…”

Section: Review Of Data Assimilation Applications In Nuclear Accidentmentioning

confidence: 99%

ICONE19-43403 Inversion Method of Source Term in Nuclear Accident based on Gaussian Puff Model

Wang

Yu³

et al. 2011

ICONE

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The inverse problem of source terms information estimation in nuclear accident is important for emergency response. In this study a review of data assimilation applied on atmospheric dispersion is given. For the atmospheric dispersion model is nonlinear and with model errors, ensemble Kalman filter is adopted for data assimilation. The dispersion consequences is described by Gaussian puff model, and the source term emission rate and release height is estimated real-time. To determine the best first guess parameters' value and errors, more than 10 twin experiments have been carried on. The results show that the ensemble Kalman filter can be applied successfully to estimate the source term information when there are one or two unknown parameters, the estimated accuracy is related to first guess value, and is impacted by the standard deviation of perturbation. To reduce the estimation error, first guess value setting to the half to two times of true value is recommended.

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Atmospheric dispersion of argon-41 from a nuclear research reactor: measurement and modelling of plume geometry and gamma radiation field

Cited by 11 publications

References 7 publications

Analysis of a Kalman filter based method for on-line estimation of atmospheric dispersion parameters using radiation monitoring data

Analysis of a Kalman filter based method for on-line estimation of atmospheric dispersion parameters using radiation monitoring data

Neutron activation and prompt gamma intensity in Ar/CO 2 -filled neutron detectors at the European Spallation Source

ICONE19-43403 Inversion Method of Source Term in Nuclear Accident based on Gaussian Puff Model

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