PSO-based modeling particulate emission rates in nuclear accidents

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

doi:10.15392/2319-0612.2022.1944

Authors

Douglas Rodriguez Brasil 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

Keywords:

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

Abstract

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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