Abstract

In large urban centers, the major contributors to much of the degradation of air quality are motor vehicles on the road. In some cities, the levels of concentrations of air pollutants have reached levels that pose a risk to human health. Ozone (O3) is a secondary pollutant formed from photochemical reactions of nitrogen oxides (NOx). Numerous studies have found associations between daily levels of ozone with a number of health effects. In the state of South Mato Grosso (MS), there has been a growing increase of ozone levels in the atmosphere in recent years. Considering the above, this study aimed to identify the best estimator for the Weibull distribution, in analyzing the ozone concentration , for the city of Campo Grande-MS. For this, electronic data from the continuous air monitoring station located on the campus of the Federal University of South Mato Grosso (UFMS), Campo Grande was utilized. According to the results presented by the tests, it was verified that the LSRM method presented the poorest performance. The EPFM, MOM and MSDM are most efficient methods to adjust the Weibull distribution curves for the evaluation of ozone concentrations in the atmosphere.

Key words: Ozone distribution of probability, air monitoring, Weibull distribution.