A Study on the Development of Prediction Method of Ozone Formation for Ozone Forecast System 


Vol. 8,  No. 1, pp. 27-37, Mar.  2002


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  Abstract

To verify the performance and effectiveness of bilinear model for the development of ozone prediction system, the simulation experiments of the model identification for ozone formation were performed by using bilinear and linear models. And the prediction results of the ozone formation by bilinear model were compared to those of linear model and the measured data of Seoul. ARMA(Autoregressive Moving Average) model was used in the model identification. A recursive parameter estimation algorithm based on an equation error method was used to estimate parameters of model. From the results of model identification experiment, the ozone formation by bilinear model showed good agreement with the ozone formation from the simulator. From the comparison of the prediction results and the measured data, it appears that the method proposed in this work is a reasonable means of developing real-time short-term prediction of ozone formation for an ozone forecast system.

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  Cite this article

[IEEE Style]

O. SC and Y. YK, "A Study on the Development of Prediction Method of Ozone Formation for Ozone Forecast System," Clean Technology, vol. 8, no. 1, pp. 27-37, 2002. DOI: .

[ACM Style]

Oh SC and Yeo YK. 2002. A Study on the Development of Prediction Method of Ozone Formation for Ozone Forecast System. Clean Technology, 8, 1, (2002), 27-37. DOI: .

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pISSN : 1598 - 9712
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한국연구재단 등재학술지