A5026173232- Radioactive contamination and transfer
- Nuclear and radioactivity studies
- Radioactivity and Radon Measurements
- Atmospheric chemistry and aerosols
- Air Quality and Health Impacts
- Wind and Air Flow Studies
- Air Quality Monitoring and Forecasting
- Risk Perception and Management
- Meteorological Phenomena and Simulations
- Risk and Safety Analysis
- Vehicle emissions and performance
- Atmospheric and Environmental Gas Dynamics
- Atmospheric aerosols and clouds
- Probabilistic and Robust Engineering Design
- Nuclear reactor physics and engineering
- Radiation Detection and Scintillator Technologies
- Oil Spill Detection and Mitigation
- Soil and Land Suitability Analysis
- Graphite, nuclear technology, radiation studies
- Nuclear Engineering Thermal-Hydraulics
- Radiation Dose and Imaging
- Multi-Criteria Decision Making
- Earthquake and Tsunami Effects
- Radioactive element chemistry and processing
- Radioactive Decay and Measurement Techniques
Institut de Radioprotection et de Sûreté Nucléaire
1970-2022
Centre d'Enseignement et de Recherche en Environnement Atmosphérique
2007-2011
École nationale des ponts et chaussées
2007-2011
Institut national de recherche en informatique et en automatique
2007-2010
Université Paris Cité
2009-2010
Abstract. Polyphemus is an air quality modeling platform which aims at covering the scope and abilities of modern systems. It deals with applications from local scale to continental scale, using two Gaussian models Eulerian models. manages passive tracers, radioactive decay, photochemistry aerosol dynamics. The structure system includes four independent levels data management, physical parameterizations, numerical solvers high-level methods such as assimilation. This enables sensitivity...
Following the Fukushima Daiichi Nuclear Power Plant (FNPP1) accident on March 2011, radioactive products were released in atmosphere. Simulations at local scale (within 80 km of FNPP1) carried out by Institute Radiation Protection and Safety (IRSN) with Gaussian Puff model pX, during crisis since then, to assess radiological environmental consequences. The evolution atmospheric ground activity simulated is presented a "reference" simulation, whose performance assessed through comparisons...
Research Article| June 01, 2012 Atmospheric Dispersion and Deposition of Radionuclides from the Fukushima Daiichi Nuclear Power Plant Accident Anne Mathieu; Mathieu Corresponding author e-mail: Anne.Mathieu@irsn.fr Search for other works by this on: GSW Google Scholar Irène Korsakissok; Korsakissok Denis Quélo; Quélo Jérôme Groëll; Groëll Marilyne Tombette; Tombette Damien Didier; Didier Emmanuel Quentric; Quentric Olivier Saunier; Saunier Jean-Pierre Benoit; Benoit Isnard *All IRSN,...
Abstract Simulations of the atmospheric dispersion radionuclides involve large uncertainties originating from limited knowledge meteorological input data, composition, amount and timing emissions, some model parameters. The estimation these is an essential complement to modeling for decision making in case accidental release. We have studied relative influence a set uncertain inputs on several outputs Eulerian Polyphemus/Polair3D Fukushima case. chose use variance‐based sensitivity analysis...
During the pre-release and early phase of an accidental release radionuclides into atmosphere there are few or no measurements, dispersion models used to assess consequences assist in determining appropriate countermeasures. However, uncertainties high during this it is important characterise these and, if possible, include them any modelling. In paper we examine three sources uncertainty modelling; source term, meteorological information drive model intrinsic within model. We also explore...
Abstract. Uncertainty estimation is a key issue in nuclear crisis situations. Probabilistic methods for taking uncertainties into account assessments are often costly terms of the number simulations and computation time. This why emulation methods, which enable rapid numerical model outputs, represent promising solution. The main limitation that they can only predict scalar quantities. In context, decisions based on dose maps, mathematically represented by high-dimensional data. this study,...
This study evaluates two models for simulating near-field (
In case of natural and / or technological disaster, decision making relies on predictions based available information, monitoring data model-based forecasts. Uncertainties are particularly high in emergency situations, with scarce information strong time constraints [1].Uncertainty quantification propagation methods well established used numerous applications such as meteorological forecasting risk evaluation various domains (seismic hazard, flooding, environmental consequences radioactive...
Abstract This paper details a number of existing formulations used in Gaussian models clear and usable way, provides comparison within single framework—the plume puff the air quality modeling system Polyphemus. The emphasis is made on between 1) parameterizations to compute standard deviations 2) rise schemes. formulas are first described theoretically compared. Their evaluation then ensured by with observations as well several well-known computational fluid dynamics model performances....
The Fukushima Dai-ichi nuclear accident led to massive atmospheric deposition of radioactive substances onto the land surfaces. spatial distribution deposits has been estimated by Japanese authorities for gamma-emitting radionuclides through either airborne monitoring surveys (since April 2011) or in situ gamma-ray spectrometry bare soil areas summer 2011). We demonstrate that significant differences exist between two radiocaesium isotopes and these can be related dry use physically based...
Modeling studies on the atmospheric diffusion and deposition of radiocesium associated with Fukushima Dai-ichi Nuclear Power Plant accident is reviewed here, a focus research collaboration between l'Institut de Radioprotection et Sûreté Nucléaire (IRSN)—the French institute in charge evaluating consequences nuclear accidents advising authorities case crisis—and Meteorological Research Institute (MRI) Japan Agency—an operational weather forecasting center Japan. While modelers have come to...
In the framework of European project CONFIDENCE, Work Package 1 (WP1) focused on uncertainties in pre- and early phase a radiological emergency, when environmental observations are not available assessment health impact accident largely relies atmospheric dispersion modelling. The latter is subject to large coming from, particular, meteorological release data. WP1, several case studies were identified, including hypothetical scenarios Europe Fukushima accident, for which participants...
Abstract. Emissions from major point sources are badly represented by classical Eulerian models. An overestimation of the horizontal plume dilution, a bad representation vertical diffusion as well an incorrect estimate chemical reaction rates main limitations such models in vicinity sources. The plume-in-grid method is multiscale modeling technique that couples local-scale Gaussian puff model with order to better represent these emissions. We present developed air quality system Polyphemus,...
The project CONFIDENCE (COping with uNcertainties For Improved modelling and DEcision making in Nuclear emergenCiEs) performed research on identifying reducing uncertainties the release post-release phases of an emergency. started January 2017 as part European Joint Programme CONCERT. It brought together 31 partners from 18 countries involved members five Radiation Protection Platforms namely ALLIANCE, EURADOS, MELODI, NERIS SHARE. work program included early phase monitoring considering...
In emergency cases, when nuclear accidental releases take place, numerical models, developed by French Institute of Radiation Protection and Nuclear Safety (IRSN), are used to forecast the atmospheric dispersion radionuclides. These models compute quantity radionuclides in atmosphere, their deposited amount on ground, subsequent gamma dose rate. Their results make recommendations protect population case accident. However, simulations subject considerable uncertainties. uncertainties...
In 2011 the IRSN conducted several assessments of atmospheric radioactive releases due to Fukushima Daiichi NPP accident (March 11, 2011) and their impact on Japan's terrestrial environment. They were based IRSN's emergency management tools abundant information technical data gradually published in Japan. According these assessments, main release phase lasted from March 12 25, impacted Japanese land two events, first 15 16 March, which deposits formed, second 20 23, was less significant. The...
We investigate the plume‐in‐grid method for a subgrid‐scale treatment of major point sources in passive case. This consists an online coupling Gaussian puff model and Eulerian model, which better represents emissions without significantly increasing computational burden. In this paper, implemented on Polyphemus air quality modeling system is described, with emphasis parameterizations available dispersion, model. The study evaluates tracers at continental scale European Tracer Experiment...
The CONFIDENCE dissemination workshop “Coping with uncertainties for improved modelling and decision making in nuclear emergencies” was held December 2–5, 2019 (Bratislava, Slovak Republic). About 90 scientists makers attended the workshop. allowed presentation of project results, demonstration applicability developed methods tools interactive discussion sessions collection feedback from participants. results were disseminated not only form presentations posters but also through workshops...
During and after the Fukushima accident, IRSN collected interpreted results of radiological measurements performed on foodstuffs terrestrial origin published by Japan's Ministry Health between mid-March 2011 July 2012. Analysis findings shows that accident's date, livestock-rearing practices deposits' characteristics had a decisive influence. The fact radioactive fallout occurred very early in growing breeding season largely explains moderate contamination most origin, notably areas with...