Prediction of ozone concentrations using nonlinear prediction method

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationAIP Conference Proceedings
Pages125-131
Number of pages7
Volume1522
DOIs
Publication statusPublished - 2013
Event20th National Symposium on Mathematical Sciences - Research in Mathematical Sciences: A Catalyst for Creativity and Innovation, SKSM 2012 - Putrajaya
Duration: 18 Dec 201220 Dec 2012

Other

Other20th National Symposium on Mathematical Sciences - Research in Mathematical Sciences: A Catalyst for Creativity and Innovation, SKSM 2012
CityPutrajaya
Period18/12/1220/12/12

Fingerprint

ozone
predictions
Malaysia
correlation coefficients
health
suggestion
chaos
approximation

Keywords

  • Chaos theory
  • Local linear approximation method
  • Nonlinear prediction method
  • Ozone
  • Reconstruction of phase space

ASJC Scopus subject areas

  • Physics and Astronomy(all)

Cite this

Prediction of ozone concentrations using nonlinear prediction method. / Abd Hamid, Nor Zila; Md. Noorani, Mohd. Salmi; Liew, Ju Neng; Latif, Mohd Talib.

AIP Conference Proceedings. Vol. 1522 2013. p. 125-131.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abd Hamid, NZ, Md. Noorani, MS, Liew, JN & Latif, MT 2013, Prediction of ozone concentrations using nonlinear prediction method. in AIP Conference Proceedings. vol. 1522, pp. 125-131, 20th National Symposium on Mathematical Sciences - Research in Mathematical Sciences: A Catalyst for Creativity and Innovation, SKSM 2012, Putrajaya, 18/12/12. https://doi.org/10.1063/1.4801114
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