Creating and running worldwide accident scenarios with JRodos

Landman, Claudia; Raskob, W.; Trybushnyi, D.; Ievdin, I.

doi:10.1051/radiopro/2016007

Cited by 2 publications

(2 citation statements)

References 2 publications

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“…The dispersion analysis focuses on the 24-hour period starting at the time of the release. The two dispersion models used are SNAP (Severe Nuclear Accident Program, Bartnicki et al, 2011) and DIPCOT (Dispersion over Complex Terrain, Andronopoulos et al, 2009) which is a part of more complex decision support system JRODOS used for the creating and running worldwide accident scenarios (Ievdin et al, 2010;Landman et al, 2016).…”

Section: Western Norway Case Studymentioning

confidence: 99%

Uncertainty propagation in atmospheric dispersion models for radiological emergencies in the pre- and early release phase: summary of case studies

et al. 2020

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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 environmental and health impact of the accident largely relies on atmospheric dispersion modelling. The latter is subject to large uncertainties coming from, in particular, meteorological and release data. In WP1, several case studies were identified, including hypothetical accident scenarios in Europe and the Fukushima accident, for which participants propagated input uncertainties through their atmospheric dispersion and subsequent dose models. This resulted in several ensembles of results (consisting of tens to hundreds of simulations) that were compared to each other and to radiological observations (in the Fukushima case). These ensembles were analysed in order to answer questions such as: among meteorology, source term and model-related uncertainties, which are the predominant ones? Are uncertainty assessments very different between the participants and can this inter-ensemble variability be explained? What are the optimal ways of characterizing and presenting the uncertainties? Is the ensemble modelling sufficient to encompass the observations, or are there sources of uncertainty not (sufficiently) taken into account? This paper describes the case studies of WP1 and presents some illustrations of the results, with a summary of the main findings.

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Section: Western Norway Case Studymentioning

confidence: 99%

Uncertainty propagation in atmospheric dispersion models for radiological emergencies in the pre- and early release phase: summary of case studies

et al. 2020

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“…It is important to highlight that the uncertainties may be enhanced as a function of the assessment models used to determine the activity concentrations and doses, for instance the Terrestrial Food Chain and Dose Module (FDMT) (Müller et al, 2003;Gering et al, 2010) included in the JRODOS (Ievdin et al, 2010;Landman et al, 2016) and ARGOS Decision Support Systems and SYMBIOSE. These are not only due to the calculation models themselves, but also to the parameters used.…”

Section: Agricultural Scenariosmentioning

confidence: 99%

Uncertainties confronting stakeholders and decision-makers in planning intervention in urban and agricultural scenarios in the transition phase of a radiological emergency

et al. 2020

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This paper summarises the work undertaken under task 1 of work package 4 of the CONFIDENCE project. The objective was to investigate uncertainties confronting stakeholders and decision makers at the transition phase of an accident and to frame the scene for subsequent tasks to investigate how stakeholders respond to that uncertainty. Urban and agricultural scenarios were considered separately. For urban scenarios, the investigation focussed on uncertainties in model predictions of residual dose from external exposure to radionuclides deposited in the urban environment. For agricultural scenarios, the objective was to analyse the uncertainties in the transfer and fate of radionuclides along different components of agricultural systems and their response to recovery actions.

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Creating and running worldwide accident scenarios with JRodos

Abstract: -The article summarises ingredients and constraints for the development of a nuclear accident scenario, and describes the features and tools of the decision support system JRodos that are useful to assist the developer in creating and running such scenarios.

Cited by 2 publications

References 2 publications

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

Uncertainties confronting stakeholders and decision-makers in planning intervention in urban and agricultural scenarios in the transition phase of a radiological emergency

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