PSO-based modeling particulate emission rates in nuclear accidents
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| Format: | Artículo científico |
| Sprache: | en |
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Sociedade Brasileira de Proteção Radiológica - SBPR
2022
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| author | D.R. Brasil |
| author_facet | D.R. Brasil |
| contents | PSO-based modeling particulate emission rates in nuclear accidents D.R. Brasil A.S. Nicolau R. Schirru C. M. N. A. Pereira Biología PSO Source term nuclear accident atmospheric dispersion 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). 2022 artículo científico 2319-0612 https://www.redalyc.org/articulo.oa?id=722280976024 en http://www.redalyc.org/revista.oa?id=7222 Brazilian Journal of Radiation Sciences application/pdf Sociedade Brasileira de Proteção Radiológica - SBPR Brazilian Journal of Radiation Sciences (Brasil) Num.3A Vol.10 |
| format | Artículo científico |
| id | redalyc_722280976024 |
| institution | Redalyc |
| language | en |
| publishDate | 2022 |
| publisher | Sociedade Brasileira de Proteção Radiológica - SBPR |
| spellingShingle | PSO-based modeling particulate emission rates in nuclear accidents D.R. Brasil Biología PSO Source term nuclear accident atmospheric dispersion PSO-based modeling particulate emission rates in nuclear accidents D.R. Brasil A.S. Nicolau R. Schirru C. M. N. A. Pereira Biología PSO Source term nuclear accident atmospheric dispersion 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). 2022 artículo científico 2319-0612 https://www.redalyc.org/articulo.oa?id=722280976024 en http://www.redalyc.org/revista.oa?id=7222 Brazilian Journal of Radiation Sciences application/pdf Sociedade Brasileira de Proteção Radiológica - SBPR Brazilian Journal of Radiation Sciences (Brasil) Num.3A Vol.10 |
| title | PSO-based modeling particulate emission rates in nuclear accidents |
| topic | Biología PSO Source term nuclear accident atmospheric dispersion |
| url | https://www.redalyc.org/articulo.oa?id=722280976024 |