Study of Atmospheric Ozone Formation by Means of a Neural Network- Based Model

摘要

The occurrence of high ozone levels in the atmosphere of urban areas has become a serious pollution problem in a number of large cities in the world. Although mathemati- cal models have been proposed for predicting ozone con- centrations as a function of a number of gas components, sometimes there are uncertainties due to lack of the com- bined effects of meteorological factors and the complex chemical reaction system involved. The application of neural network models, based on measured values of air pollutants and meteorological fac- tors at different locations within the Sao Paulo Metro- politan Area, combine chemical and meteorological in- formation. This has shown to be a promising tool for pre- dicting ozone concentration. Simulations carried out with the model indicate the sensitivity of ozone in relation to different air pollution and weather conditions. Predictions using this model have shown good agreement with mea- sured values of ozone concentrations.