Prediction of ozone () is very important because 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 . 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 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 . At the end of this paper, suggestions were made for better prediction in the future.
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22 April 2013
PROCEEDINGS OF THE 20TH NATIONAL SYMPOSIUM ON MATHEMATICAL SCIENCES: Research in Mathematical Sciences: A Catalyst for Creativity and Innovation
18–20 December 2012
Palm Garden Hotel, Putrajaya, Malaysia
Research Article|
April 22 2013
Prediction of ozone concentrations using nonlinear prediction method
Nor Zila Abd Hamid;
Nor Zila Abd Hamid
Department of Mathematics, Faculty of Science and Mathematics, Universiti Pendidikan Sultan Idris, 35900, Tanjung Malim, Perak DR, Malaysia and School of Mathematical Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600,
Malaysia
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Mohd Salmi Md Noorani;
Mohd Salmi Md Noorani
School of Mathematical Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor DE,
Malaysia
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Liew Juneng;
Liew Juneng
School of Environment and Natural Resource Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor DE,
Malaysia
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Mohd Talib Latif
Mohd Talib Latif
School of Environment and Natural Resource Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor DE,
Malaysia
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AIP Conf. Proc. 1522, 125–131 (2013)
Citation
Nor Zila Abd Hamid, Mohd Salmi Md Noorani, Liew Juneng, Mohd Talib Latif; Prediction of ozone concentrations using nonlinear prediction method. AIP Conf. Proc. 22 April 2013; 1522 (1): 125–131. https://doi.org/10.1063/1.4801114
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