Aplikasi model baharu penambahbaikan pendekatan kalut ke atas peramalan siri masa kepekatan ozon

Translated title of the contribution: New improved chaotic approach model application on forecasting ozone concentration time series

Nor Zila Abd Hamid, Mohd. Salmi Md. Noorani

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

This study is an application of chaotic approach on forecasting the ozone air pollutant time series at Malaysian background station located in Jerantut, Pahang. Before the forecasting model can be built, the time series are tested in advance whether the nature is chaotic or not. Through phase space plot and Cao method, the ozone air pollutant time series were found to be low in dimensional chaotic. Therefore, the forecasting model through local linear approximation is constructed. As an innovation, this model is improved. As comparison, the linear regression forecasting model was also constructed. By calculating the mean absolute error, root mean square error and correlation coefficient, the results showed that the new improved local linear approximation model is better than the other models. Thus, the improvement was worth it. Therefore, chaotic approach is an alternative approach that can be used to construct forecasting model for ozone pollutants time series. The discovery of new method in this study is expected to help facilitate the efforts of stakeholders in dealing with the issues of air pollution, especially ozone.

Original languageMalay
Pages (from-to)1333-1339
Number of pages7
JournalSains Malaysiana
Volume46
Issue number8
DOIs
Publication statusPublished - 1 Aug 2017
Externally publishedYes

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ozone
time series
stakeholder
atmospheric pollution
innovation
pollutant
method
air pollutant

ASJC Scopus subject areas

  • General

Cite this

Aplikasi model baharu penambahbaikan pendekatan kalut ke atas peramalan siri masa kepekatan ozon. / Hamid, Nor Zila Abd; Md. Noorani, Mohd. Salmi.

In: Sains Malaysiana, Vol. 46, No. 8, 01.08.2017, p. 1333-1339.

Research output: Contribution to journalArticle

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