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A Mathematical modelling through chaotic approach to forecast the sea level in Penang

Forecasting of sea level is significant since a rising sea level can cause erosion, flood, and inundation. Prediction of the behaviour of a future sea level is crucial for coastal engineering, geodetic applications, navigation, coastal ecosystems, and recreational activities along with observation a...

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Main Authors: Nazliah Mohd Ali,, Norzila Abd Hamid,, Fatin Zawani Zainal Azaim,
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2021
Online Access:http://journalarticle.ukm.my/17933/1/Paper-1-Nazliah.pdf
http://journalarticle.ukm.my/17933/
https://www.ukm.my/jqma/current/
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spelling my-ukm.journal.179332022-01-13T03:45:36Z http://journalarticle.ukm.my/17933/ A Mathematical modelling through chaotic approach to forecast the sea level in Penang Nazliah Mohd Ali, Norzila Abd Hamid, Fatin Zawani Zainal Azaim, Forecasting of sea level is significant since a rising sea level can cause erosion, flood, and inundation. Prediction of the behaviour of a future sea level is crucial for coastal engineering, geodetic applications, navigation, coastal ecosystems, and recreational activities along with observation and prediction of the changes in fisheries and marine environments also coastal fortifications. The data examined is a time series of sea levels recorded hourly in a high-risk area at Penang tidal gauge station. The chaotic approach technique was used to analyze the observed time series data which was divided into two steps: phase space reconstruction and prediction. The purpose of the study comprises to discover the existence of chaotic nature through the phase space reconstruction process and the Cao method. A local linear approach has been used for prediction purposes. The findings indicated that the coefficient of correlation value among the data observed and data predicted was .9356. The result implies the Malaysian sea level of time series can be predicted using the local linear approximation method. These findings are anticipated to support agencies in particular the Department of Survey and Mapping Malaysia (JUPEM) to organize improved management of the sea level. Penerbit Universiti Kebangsaan Malaysia 2021 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/17933/1/Paper-1-Nazliah.pdf Nazliah Mohd Ali, and Norzila Abd Hamid, and Fatin Zawani Zainal Azaim, (2021) A Mathematical modelling through chaotic approach to forecast the sea level in Penang. Journal of Quality Measurement and Analysis, 17 (2). pp. 1-8. ISSN 1823-5670 https://www.ukm.my/jqma/current/
institution Universiti Kebangsaan Malaysia
building Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
language English
description Forecasting of sea level is significant since a rising sea level can cause erosion, flood, and inundation. Prediction of the behaviour of a future sea level is crucial for coastal engineering, geodetic applications, navigation, coastal ecosystems, and recreational activities along with observation and prediction of the changes in fisheries and marine environments also coastal fortifications. The data examined is a time series of sea levels recorded hourly in a high-risk area at Penang tidal gauge station. The chaotic approach technique was used to analyze the observed time series data which was divided into two steps: phase space reconstruction and prediction. The purpose of the study comprises to discover the existence of chaotic nature through the phase space reconstruction process and the Cao method. A local linear approach has been used for prediction purposes. The findings indicated that the coefficient of correlation value among the data observed and data predicted was .9356. The result implies the Malaysian sea level of time series can be predicted using the local linear approximation method. These findings are anticipated to support agencies in particular the Department of Survey and Mapping Malaysia (JUPEM) to organize improved management of the sea level.
format Article
author Nazliah Mohd Ali,
Norzila Abd Hamid,
Fatin Zawani Zainal Azaim,
spellingShingle Nazliah Mohd Ali,
Norzila Abd Hamid,
Fatin Zawani Zainal Azaim,
A Mathematical modelling through chaotic approach to forecast the sea level in Penang
author_facet Nazliah Mohd Ali,
Norzila Abd Hamid,
Fatin Zawani Zainal Azaim,
author_sort Nazliah Mohd Ali,
title A Mathematical modelling through chaotic approach to forecast the sea level in Penang
title_short A Mathematical modelling through chaotic approach to forecast the sea level in Penang
title_full A Mathematical modelling through chaotic approach to forecast the sea level in Penang
title_fullStr A Mathematical modelling through chaotic approach to forecast the sea level in Penang
title_full_unstemmed A Mathematical modelling through chaotic approach to forecast the sea level in Penang
title_sort mathematical modelling through chaotic approach to forecast the sea level in penang
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2021
url http://journalarticle.ukm.my/17933/1/Paper-1-Nazliah.pdf
http://journalarticle.ukm.my/17933/
https://www.ukm.my/jqma/current/
_version_ 1724074628008116224
score 13.211869

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