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Borneo International Journal eISSN 2636-9826
Articles
Submitted: 2023-11-30
Published: 2023-12-03

Prediction Of Real SO2 Time Series Through Chaotic Approach In Kota Kinabalu, Sabah: Peramalan Siri Masa Nyata SO2 Melalui Pendekatan Kalut Di Kota Kinabalu, Sabah

Akademi Sains Pendang, Kedah, Malaysia
Akademi Sains Pendang, Kedah, Malaysia
Akademi Sains Pendang, Kedah, Malaysia
Akademi Sains Pendang, Kedah, Malaysia
Akademi Sains Pendang, Kedah, Malaysia
Akademi Sains Pendang, Kedah, Malaysia
Department of Mathematics, Faculty of Science and Mathematics, Sultan Idris Education University, Perak, Malaysia
SMK Seksyen 10 Kota Damansara, Selangor, Malaysia
Sulphur dioxide, linear approximation method, chaotic approach and number of the nearest neighbor.

Abstract

When there is an excess of carbon, sulfur and any dangerous gaseous emission, then the air is polluted. Breathing through polluted air can cause harm and may lead to several diseases such as respiratory failure and cancer. This study is about the prediction of real SO2 time series through the chaotic approach in Kota Kinabalu, Sabah. Before the prediction model can be built, the existence of chaotic behavior needs to be confirmed. Chaotic behavior can be detected through the phase space plot and Cao method. The observed time series is confirmed to be chaotic. Prediction through improved local linear approximation method (ILLAM) is done. Three parameters are determined which are delay time

How to Cite

Ruslan, A. B., Ahmad Zubir, A. H., Jun, F. C., Mohamad Adnan, M. D. E., Mohd Faisal, M. L. H., Francis, A. R., … Che Jusoh, K. (2023). Prediction Of Real SO2 Time Series Through Chaotic Approach In Kota Kinabalu, Sabah: Peramalan Siri Masa Nyata SO2 Melalui Pendekatan Kalut Di Kota Kinabalu, Sabah. Borneo International Journal EISSN 2636-9826, 6(4), 52–59. Retrieved from https://majmuah.com/journal/index.php/bij/article/view/623