Direct and inverse modelling of atmospheric dispersion and gamma radiation in the context of crisis management of accidental or deliberate radioactive releases: The TERRIFFIC project - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2020

Direct and inverse modelling of atmospheric dispersion and gamma radiation in the context of crisis management of accidental or deliberate radioactive releases: The TERRIFFIC project

Résumé

TERRIFFIC, a disaster-resilience project funded under the H2020 Framework Programme, aims to deliver a step change in the effectiveness of first responders during the first hours of a Radiological, Nuclear, explosive (RNe) incident. Ecole Centrale de Lyon (ECL) develops the plume software which is one of the TERRIFFIC system components. This software aims to characterize the RNe source (position, release rate, radionuclide type) and estimate the safety zones associated. This information is of prime importance in order to efficiently manage the control zone and first responder's actions. The plume software is composed of two main building blocks: a direct model and an inverse model. The direct model aims to estimate and forecast the impacts (fluence/dose rate field) based on the source characteristics. The model consists in a stochastic Lagrangian atmospheric dispersion model (SLAM), coupled with a gamma radiation model (Model for Atmospheric Radiation Indoor & in Environment - MARIE). SLAM calculates the transport and dispersion of radioactive particles. MARIE enables to evaluate the fluence/dose rate from radioactive material emitting gamma rays. The performances of MARIE have been evaluated against effective dose rate values provided by Dewji et al. (2018) and against equivalent dose rate values presented in IRSN data sheets. The results show a good agreement with the reference values. Conversely, the inverse model, called ReWind, aims to characterize the RNe source from the fluence/dose rate measured by sensors mounted on drones and robots. The inverse approach consists in evaluating the characteristics of the source which minimizes the difference between the observed and predicted dose rates at the receptors. A sensibility study shows that the higher is the number of measurements, the lower is the error on the source position.
Fichier non déposé

Dates et versions

hal-03832373 , version 1 (27-10-2022)

Licence

Copyright (Tous droits réservés)

Identifiants

  • HAL Id : hal-03832373 , version 1

Citer

Chi Vuong Nguyen, Lionel Soulhac, Guillevic Lamaison, P. Volta. Direct and inverse modelling of atmospheric dispersion and gamma radiation in the context of crisis management of accidental or deliberate radioactive releases: The TERRIFFIC project. 20th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2020, Jun 2020, Tartu, Estonia. ⟨hal-03832373⟩
14 Consultations
0 Téléchargements

Partager

Gmail Facebook X LinkedIn More