Application of the RODOS decision support system for nuclear emergencies to the analysis of possible consequences of severe accident in distant receptors

Kopka, Piotr; Mazur, Andrzej; Potempski, S.; Wojciechowicz, H.

doi:10.1016/j.anucene.2021.108837

Cited by 8 publications

(2 citation statements)

References 23 publications

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“…A number of researchers have used JRODOS (and its predecessor RODOS) to analyse the consequences of nuclear accidents (Kovalets et al 2014, Moehrle et al 2018, Jaroszek 2020, Kopka et al 2022. The applicability of RODOS in the consequence analysis of a nuclear accident was implemented on various emergency scenarios and it was found to be useful to consider RODOS as a decision support tool, both for preparedness and response to a nuclear or radiological emergency.…”

Section: Application Of Dss In Emergency Preparedness and Responsementioning

confidence: 99%

JRODOS customization for Pakistan and assessment of the consequences of a hypothetical nuclear accident

Hussain¹,

Mehboob²,

Ilyas³

et al. 2023

J. Radiol. Prot.

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Since the Chernobyl disaster in 1986, decision support systems and modelling tools are utilized in response to nuclear and radiological emergencies. The Java-based Real-time On-line Decision Support System (JRODOS) is a decision support tool that can be utilised in response to an emergency in managing off-site radiological consequences. This article documents the customization and use of JRODOS for Pakistan. The JRODOS was tailored to the local Pakistan conditions, and a case study for a theoretical nuclear power plant accident was used to assess JRODOS's feasibility as a decision support tool. A worse case probabilistic accident scenario was used to identify zones and areas where urgent protective actions, early protective actions and food restriction and other response actions could be required. The areas and distances identified for the implementation of protective and response actions for such a hypothetical accident were found to be in agreement with the International Atomic Energy Agency (IAEA) suggested emergency planning zones and distances. Additionally, the implications of meteorological and source term input parameters on predicting the radiation doses to members of the public were investigated. It was identified that the output of such tools strongly depends on the availability and accuracy of the input parameters such as radioactive release and meteorological data. Limitations and uncertainties associated with these tools need to be considered in deciding on protective and other response actions in response to a nuclear accident. As established by the IAEA, protective and other response actions need to be applied on a graded approach taking into account the protection strategy and uncertainties and limitation in the available information and criteria, based on the conditions at the facility and off the site.

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Section: Application Of Dss In Emergency Preparedness and Responsementioning

confidence: 99%

JRODOS customization for Pakistan and assessment of the consequences of a hypothetical nuclear accident

Hussain¹,

Mehboob²,

Ilyas³

et al. 2023

J. Radiol. Prot.

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show abstract

“…This methodological approach is based on the generation of massive amounts of atmospheric simulations with the aim of considering as many transport and dispersion scenarios as possible over a certain region, so that statistical analysis leads to the extraction of representative information on dispersion patterns (e.g. (Urso et al, 2012); (Kopka et al, 2022)). On this basis, the results demonstrated a clear influence of meteorological scenarios on the response of the monitoring network in providing the first alert and capturing the maximum TGDR concentrations associated with the dispersion of hypothetical airborne radioactive material from a point source.…”

Section: Implications In Epandrmentioning

confidence: 99%

Analysing the Performance of Radiological Monitoring Network During Nuclear Accidents

Sangiorgi¹,

Ceballos²,

Bolı́var

2023

Preprint

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Design and Optimization of Business Decision Support System Based on Deep Learning

2023

Smart Innovation, Systems and Technologies

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Application of the RODOS decision support system for nuclear emergencies to the analysis of possible consequences of severe accident in distant receptors

Cited by 8 publications

References 23 publications

JRODOS customization for Pakistan and assessment of the consequences of a hypothetical nuclear accident

JRODOS customization for Pakistan and assessment of the consequences of a hypothetical nuclear accident

Analysing the Performance of Radiological Monitoring Network During Nuclear Accidents

Design and Optimization of Business Decision Support System Based on Deep Learning

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