Chaotic analysis and short-term prediction of ozone pollution in Malaysian urban area

Abstract

This study focuses on the analysis and prediction of hourly ozone (O3) pollution in one of Malaysian urban area namely Shah Alam through chaotic approach. This approach begins by detecting the chaotic behavior of the O3 pollution using phase space plot and Cao method. Then, the local mean approximation method is used for prediction purposes. The O3 pollution observed at Shah Alam is detected as chaotic in behavior. Due to the chaotic behavior, only short-term prediction is allowed. Thus, the one-hour ahead prediction is done through the local mean approximation method.

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Citation

Abd Hamid, N. Z., Noorani, M. S. M., & Adenan, N. H. (2017). Chaotic analysis and short-term prediction of ozone pollution in Malaysian urban area. In Journal of Physics: Conference Series (Vol. 890, No. 1, p. 012157). IOP Publishing.

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