Intentional radiological exposure scenario evaluation by comparisons based on computer simulation
Nuclear or radiological mass incidents represent a threat that requires sophisticated coping strategies. This study aims to contribute by presenting a dual computational modeling methodology that juxtaposes numerical and analytical models to address a specific radioactive release scenario. This met...
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| Format: | Article |
| Language: | English |
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Brazilian Radiation Protection Society (Sociedade Brasileira de Proteção Radiológica, SBPR)
2025-07-01
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| Series: | Brazilian Journal of Radiation Sciences |
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| Online Access: | https://bjrs.org.br/revista/index.php/REVISTA/article/view/2862 |
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| author | Carlos Eduardo S. Bonfim Rodrigo D. Curzio Gustavo G. Souza Tercio Brum José Carlos C. Amorim Ubiratan C. Oliveira Claudio Antônio Federico Raquel Aparecida A. Costa e Oliveira Jakler Nichele Edson Andrade |
| author_facet | Carlos Eduardo S. Bonfim Rodrigo D. Curzio Gustavo G. Souza Tercio Brum José Carlos C. Amorim Ubiratan C. Oliveira Claudio Antônio Federico Raquel Aparecida A. Costa e Oliveira Jakler Nichele Edson Andrade |
| author_sort | Carlos Eduardo S. Bonfim |
| collection | DOAJ |
| description |
Nuclear or radiological mass incidents represent a threat that requires sophisticated coping strategies. This study aims to contribute by presenting a dual computational modeling methodology that juxtaposes numerical and analytical models to address a specific radioactive release scenario. This methodology seeks to extend beyond the theory underlying the modeling processes, favoring decision-making, especially in the early stages of such confrontation. This investigation applied a dual-model structure based on numerical methods and analytical techniques to simulate a radiological scenario promoted by activating a radiological dispersal device (RDD). It is important to emphasize that this methodology is not limited to RDD scenarios and is being proposed for application to any external release of radioactive materials. By evaluating and comparing the results of the simulations, particularly in areas close to the release point and in shorter time intervals, it is possible to verify the most appropriate model and identify scenarios in which the two models produce convergent results. The findings highlight the importance of estimating radiation doses, suggesting that such estimates can influence the understanding of radiological risks and their dependence on local atmospheric conditions. Careful interpretation and application of such results can mitigate epidemiological risks, enhance coordination capabilities, and stimulate the development of strategic responses.
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| format | Article |
| id | doaj-art-ce76cd0ffbbf42cab4f846a04dedac68 |
| institution | DOAJ |
| issn | 2319-0612 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Brazilian Radiation Protection Society (Sociedade Brasileira de Proteção Radiológica, SBPR) |
| record_format | Article |
| series | Brazilian Journal of Radiation Sciences |
| spelling | doaj-art-ce76cd0ffbbf42cab4f846a04dedac682025-08-20T03:12:31ZengBrazilian Radiation Protection Society (Sociedade Brasileira de Proteção Radiológica, SBPR)Brazilian Journal of Radiation Sciences2319-06122025-07-0113310.15392/2319-0612.2025.28622487Intentional radiological exposure scenario evaluation by comparisons based on computer simulationCarlos Eduardo S. Bonfim0https://orcid.org/0000-0003-0495-5966Rodrigo D. Curzio1https://orcid.org/0000-0002-8715-7654Gustavo G. Souza2https://orcid.org/0009-0005-8883-1814Tercio Brum3https://orcid.org/0000-0003-4474-5824José Carlos C. Amorim4https://orcid.org/0000-0002-0023-8452Ubiratan C. Oliveira 5Claudio Antônio Federico6https://orcid.org/0000-0002-8263-0270Raquel Aparecida A. Costa e Oliveira 7https://orcid.org/0000-0001-9538-717XJakler Nichele 8https://orcid.org/0000-0003-3046-8459Edson Andrade9Military Institute of Engineering (IME)Military Institute of Engineering (IME)Institute of Advanced Studies (IEAv)Military Institute of Engineering (IME)Military Institute of Engineering (IME)ESPMInstitute of Advanced Studies (IEAv)Military Institute of EngineeringMilitary Institute of Engineering (IME)Military Institute of Engineering Nuclear or radiological mass incidents represent a threat that requires sophisticated coping strategies. This study aims to contribute by presenting a dual computational modeling methodology that juxtaposes numerical and analytical models to address a specific radioactive release scenario. This methodology seeks to extend beyond the theory underlying the modeling processes, favoring decision-making, especially in the early stages of such confrontation. This investigation applied a dual-model structure based on numerical methods and analytical techniques to simulate a radiological scenario promoted by activating a radiological dispersal device (RDD). It is important to emphasize that this methodology is not limited to RDD scenarios and is being proposed for application to any external release of radioactive materials. By evaluating and comparing the results of the simulations, particularly in areas close to the release point and in shorter time intervals, it is possible to verify the most appropriate model and identify scenarios in which the two models produce convergent results. The findings highlight the importance of estimating radiation doses, suggesting that such estimates can influence the understanding of radiological risks and their dependence on local atmospheric conditions. Careful interpretation and application of such results can mitigate epidemiological risks, enhance coordination capabilities, and stimulate the development of strategic responses. https://bjrs.org.br/revista/index.php/REVISTA/article/view/2862computational simulationurban radiation releasesupport to decisioncritical infrastructure disruption |
| spellingShingle | Carlos Eduardo S. Bonfim Rodrigo D. Curzio Gustavo G. Souza Tercio Brum José Carlos C. Amorim Ubiratan C. Oliveira Claudio Antônio Federico Raquel Aparecida A. Costa e Oliveira Jakler Nichele Edson Andrade Intentional radiological exposure scenario evaluation by comparisons based on computer simulation Brazilian Journal of Radiation Sciences computational simulation urban radiation release support to decision critical infrastructure disruption |
| title | Intentional radiological exposure scenario evaluation by comparisons based on computer simulation |
| title_full | Intentional radiological exposure scenario evaluation by comparisons based on computer simulation |
| title_fullStr | Intentional radiological exposure scenario evaluation by comparisons based on computer simulation |
| title_full_unstemmed | Intentional radiological exposure scenario evaluation by comparisons based on computer simulation |
| title_short | Intentional radiological exposure scenario evaluation by comparisons based on computer simulation |
| title_sort | intentional radiological exposure scenario evaluation by comparisons based on computer simulation |
| topic | computational simulation urban radiation release support to decision critical infrastructure disruption |
| url | https://bjrs.org.br/revista/index.php/REVISTA/article/view/2862 |
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