DOAJ Open Access 2022

PSO-based modeling particulate emission rates in nuclear accidents

Douglas Rodriguez Brasil Andressa dos Santos Nicolau Roberto Schirru Cláudio Márcio do Nascimento Abreu Pereira

Abstrak

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).

Topik & Kata Kunci

Medical physics. Medical radiology. Nuclear medicine Radioactivity and radioactive substances

Penulis (4)

Douglas Rodriguez Brasil

Andressa dos Santos Nicolau

Roberto Schirru

Cláudio Márcio do Nascimento Abreu Pereira

Format Sitasi

APA MLA BibTeX

Brasil, D.R., Nicolau, A.d.S., Schirru, R., Pereira, C.M.d.N.A. (2022). PSO-based modeling particulate emission rates in nuclear accidents. https://doi.org/10.15392/2319-0612.2022.1944

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Informasi Jurnal

Tahun Terbit: 2022
Sumber Database: DOAJ
DOI: 10.15392/2319-0612.2022.1944
Akses: Open Access ✓