Análises e comparações estatísticas entre dados experimentais com resultados de um modelo de dispersão de poluentes atmosféricos

Abstract

The aim of this dissertation was to evaluate and compare the experimental and predicted concentrations of the GILTT (Generalized Integral Laplace Transform Technique)in two-dimensional cases with and without deposition, two-dimensional transient, with and without deposition and three-dimensional, Via statistical estimators, in experiments from Copenhagen, Hanford and Kinkaid concerning the dispersion of air pollutants SF6, in the three experiments and ZnS in the Hanford experiment. Fortran, Excel and SAS software were used to calculate the estimates and for the simulations to predict the dispersion of pollutant concentrations via the GILTT model. Both the experimental data and the modeling of the problem were performed in the Planetary Boundary Layer. Statistical estimators were used as mean, variance, linear correlation, among others. The analysis of the results with experimental data was made considering several points from the emission source, showing that the performance of the solutions are compatible with the results presented in the literature, which was verified through the analysis of the statistical estimators normally used in the evaluation of models Of atmospheric pollutants.