PSO-based modeling particulate emission rates in nuclear accidents

Autores/as

  • Douglas Rodriguez Brasil Universidade Federal do Rio de Janeiro - UFRJ , Universidade Federal do Rio de Janeiro - UFRJ
  • Andressa dos Santos Nicolau Universidade Federal do Rio de Janeiro - UFRJ ,
  • Roberto Schirru Universidade Federal do Rio de Janeiro - UFRJ ,
  • Cláudio Márcio do Nascimento Abreu Pereira Instituto de Energia Nuclear - IEN ,

DOI:

https://doi.org/10.15392/2319-0612.2022.1944

Palabras clave:

Source term, Atmospheric dispersion, Particle Swarm Optimization (PSO), Nuclear accident

Resumen

This paper aims to estimate the rate of particulate contaminants emitted by multiple sources, whose values are unknown, using the values identified by the receptors distributed around the sources. In a nuclear emergency with release of radionuclides into the atmosphere, in order to make the correct decision, it is necessary to identify the source term and its release rate, as well as the meteorological data, essential factors for defining the direction and size of the radioactive plume. For this purpose, a model of Particle Swarm Optimization (PSO) is applied together with a mathematical model of Gaussian dispersion, being created the program Particle Swarm Optimization Dispersion Model (PSODM).

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Referencias

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Publicado

2022-10-29

Número

Vol. 10 Núm. 3A (Suppl.) (2022): XXII ENFIR / VII ENIN

Sección

INAC 2021_XXII ENFIR_VII_ENIN

Licencia

Derechos de autor 2022 Brazilian Journal of Radiation Sciences (BJRS)

Creative Commons License

Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.

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Cómo citar

PSO-based modeling particulate emission rates in nuclear accidents. Brazilian Journal of Radiation Sciences (BJRS), Rio de Janeiro, Brazil, v. 10, n. 3A (Suppl.), 2022. DOI: 10.15392/2319-0612.2022.1944. Disponível em: https://bjrs.org.br/revista/index.php/REVISTA/article/view/1944. Acesso em: 16 jul. 2025.