Development of a Short-Term Ozone Prediction Tool in Campo Grande-MS-Brazil Area Based on Meteorological Variables

Amaury de Souza, Flavio Aristones, Hamilton Germano Pavão, Widinei Alves Fernandes

Institute of Physics, Federal University of Mato Grosso do Sul, Campo Grande, Brazil.

DOI: 10.4236/ojap.2014.32005                

Abstract

The objective of this study was to develop a model to predict the concentration of ozone. The measurements of ozone were conducted at the Federal University of Mato Grosso do Sul. The predictor variables related to climate were supplied by Embrapa Gada de Corte. Analyses of the data show a strong correlation between ozone and wind speed (0.75), humidity (?0.64) and temperature (0.41), as the factors that affect levels of concentration ozone. The observed and predicted values of daily ozone had a correlation coefficient (R) of 0.69.

Keywords

Regression Model, Meteorology, Ozone Prediction

Conflicts of Interest

The authors declare no conflicts of interest.

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