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

Nor Zila Abd Hamid, Mohd. Salmi Md. Noorani, Nur Hamiza Adenan

Research output: Contribution to journalArticle

1 Citation (Scopus)

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. The prediction result shows that correlation coefficient value between the observed and predicted time series is near to one. This excellent prediction result shows in particular that the local mean approximation method can be used to predict the O3 pollution in urban area. In general, chaotic approach is a useful approach that can be used to analyze and predict the O3 pollution time series.

Original languageEnglish
Article number012157
JournalJournal of Physics: Conference Series
Volume890
Issue number1
DOIs
Publication statusPublished - 21 Sep 2017

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pollution
ozone
predictions
approximation
correlation coefficients
plots

ASJC Scopus subject areas

  • Physics and Astronomy(all)

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Chaotic analysis and short-term prediction of ozone pollution in Malaysian urban area. / Abd Hamid, Nor Zila; Md. Noorani, Mohd. Salmi; Adenan, Nur Hamiza.

In: Journal of Physics: Conference Series, Vol. 890, No. 1, 012157, 21.09.2017.

Research output: Contribution to journalArticle

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