PSO-based modeling particulate emission rates in nuclear accidents

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).