Prediction of ozone (O3) is very important because O3 gives effects on human health, human activities and more. Nonlinear prediction method, a method which was developed based on the idea comes from chaos theory is used to predict the concentrations of O3. There are two steps in the nonlinear prediction method. First is the reconstruction of the observed data from the form of a one-dimensional to multi-dimensional phase space. Second is the prediction of the reconstructed phase space through local linear approximation method. Hourly O3 concentrations observed in Shah Alam city located in the state of Selangor, Malaysia were studied. Predictions found in a close agreement with those observed ones. The value of the correlation coefficient obtained in this study is 0.9097. This demonstrates the suitability of the nonlinear prediction method to predict the hourly concentrations of O3. At the end of this paper, suggestions were made for better prediction in the future.

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