New model for agricultural countermeasures in RODOS and ARGOS

Gering, F.; Raskob, W.; Charnock, T.W.

doi:10.1051/radiopro/2010035

Cited by 7 publications

(4 citation statements)

References 7 publications

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“…JRODOS employs several countermeasure models depending on the situation (Päsler-Sauer, 2007;Charnock, 2010;Gering et al, 2010). In this study the Emergency Model Chain of the JRODOS September 2013 version has been employed.…”

Section: Methodology For Estimation Of Countermeasuresmentioning

confidence: 99%

Assessment of off-site early countermeasures in the event of a LOCA in a research reactor

et al. 2017

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Off-site early emergency management actions due to a potential release from the Greek Research Reactor-1 are assessed with the aid of a modern decision support tool. To this end, a hypothetical loss-of-coolant accident has been assumed under two distinct ventilation schemes of the reactor building. Five, site-typical, meteorological scenarios have been applied based on observed conditions that demonstrate the effects the released radioactive plume has on the surrounding urban area. The JRODOS (Java-based Real-time On-line DecisiOn Support) system has been used to calculate gamma radiation doses, estimate the affected areas and assess early countermeasures in accordance with national legislation. The results indicate that the suggested countermeasures may need to be applied only to a very limited area in a few of the considered weather scenarios.

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Section: Methodology For Estimation Of Countermeasuresmentioning

confidence: 99%

Assessment of off-site early countermeasures in the event of a LOCA in a research reactor

et al. 2017

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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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“…In the very early (pre-release) phase of accidental release scenarios, decision support systems like JRODOS and ARGOS (see e.g. Ehrhardt and Weis, 2000;Raskob and Gering, 2010;Ievdin et al, 2010;Gering et al, 2010) have to rely on prognostic model calculations. Figure 1 gives an overview of the JRODOS model chain and related uncertainty budgets.…”

Section: Objectivesmentioning

confidence: 99%

Reduction of uncertainties in exposure assessment based on environmental monitoring data

et al. 2020

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Emergency preparedness and response systems for nuclear and radiological emergencies have to deal with decision-making in situations with relevant uncertainties. Consistent and appropriate protective measures must be decided before, during and after emergency situations. CONFIDENCE WP2 research helps to improve this decision-making process in the urgent response and the early response phase of emergency situations with potential major releases to atmosphere. This paper describes methods to reduce uncertainties in dose assessment for the population using data from stationary and mobile environmental monitoring programs. A special focus is given to identification of the measurement uncertainties of stationary and mobile monitoring systems. Methods to reduce these uncertainties and procedures to optimise mobile monitoring strategies are discussed. A first contribution towards assessing the quality of dose-rate measurements performed by the general population is made. In addition, the paper introduces approaches for advanced dose assessment tools using monitoring data and concepts for identifying critically exposed groups.

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New model for agricultural countermeasures in RODOS and ARGOS

Cited by 7 publications

References 7 publications

Assessment of off-site early countermeasures in the event of a LOCA in a research reactor

Assessment of off-site early countermeasures in the event of a LOCA in a research reactor

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

Reduction of uncertainties in exposure assessment based on environmental monitoring data

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