Aplicação da teoria fuzzy em um modelo de transporte de massa, para avaliar o risco da dispersão dos poluentes atmosféricos

Abstract

Air pollution problems increasingly become more critical, requiring continuous monitoring and controls in order to ensure an appropriate environment for the community in general. The impact sources of air pollution from existing or new sources can be evaluated using mathematical models or models of air quality. This tool allows for evaluate the effects (risks) of air pollutants to the environment in several variables. In this context, the Fuzzy theory emerged as a viable solution to study the risk of failure of a system of air pollution different releases. This theory combined with the principle of mass transportation has allowed fields of risk are determined and can assess whether the controls adopted are reliable. This paper proposes a methodology based on a mathematical modeling of air dispersion process pollutants, where their parameters are membership functions, defined according for Fuzzy theory. The research uses these concepts in the solution of the equation Gaussian Fuzzy to determine the risk of failure and ensuring sustainability of the release of pollutants at different concentrations for continuous and instantaneous emissions. The results showed that the best conditions of stability for the dispersion of pollutants is unstable and the risk of system failure in this condition is zero, with concentration values within the parameters of the relevant legislation, without causing impacts on the environment the environment or to the community around.