Time-series prediction of sea level change in the east coast of Peninsular Malaysia from the supervised learning approach
Decision making; Forecasting; Learning algorithms; Support vector machines; Support vector regression; Surface waters; Tide gages; Correlation coefficient; Marine management; Meteorological parameters; Regression support vector machines; Sea surface temperature (SST); Supervised learning approaches;...
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International Information and Engineering Technology Association
2023
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my.uniten.dspace-254542023-05-29T16:09:36Z Time-series prediction of sea level change in the east coast of Peninsular Malaysia from the supervised learning approach Lai V. Malek M.A. Abdullah S. Latif S.D. Ahmed A.N. 57204919704 55636320055 56509029800 57216081524 57214837520 Decision making; Forecasting; Learning algorithms; Support vector machines; Support vector regression; Surface waters; Tide gages; Correlation coefficient; Marine management; Meteorological parameters; Regression support vector machines; Sea surface temperature (SST); Supervised learning approaches; Tide gauge data; Time series prediction; Sea level Analyzing and predicting the rises in sea level are vital elements in oceanography and marine management especially in managing low-lying coastal areas. The present study aims to analyze the ability of machine learning algorithm viz. regression support vector machine (RSVM) in predicting the changes in the sea level on the east coast of Peninsular Malaysia. The selected inputs for the proposed model are monthly mean sea level (MMSL), monthly sea surface temperature (SST), rainfall and mean cloud cover (MCC) for the period from January 2007 to December 2017. A total of 132 data points for each meteorological parameter were used, where 92 (70%) data points from January 2007 to December 2015 were used for training and 40 (30%) data points from January 2016 to December 2017 were used for validating and testing. Results showed based on the correlation coefficient that the model predicts the sea level rises accurately (R= 0.861, 0.825 and 0.857) for Kerteh, Tanjung Sedili, and Tioman Island, respectively. Moreover, the predicted values were similar to the historical tide-gauge data with very low error, which indicates that the proposed RSVM model can be a promising tool for decision-makers and can be reliable to predict monthly mean sea level rises in Malaysia. � 2020 WITPress. All rights reserved. Final 2023-05-29T08:09:36Z 2023-05-29T08:09:36Z 2020 Article 10.18280/ijdne.150314 2-s2.0-85087835571 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087835571&doi=10.18280%2fijdne.150314&partnerID=40&md5=ac5524177d180a9214fb459c723884ef https://irepository.uniten.edu.my/handle/123456789/25454 15 3 409 415 All Open Access, Bronze International Information and Engineering Technology Association Scopus |
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Malaysia |
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Universiti Tenaga Nasional |
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| description |
Decision making; Forecasting; Learning algorithms; Support vector machines; Support vector regression; Surface waters; Tide gages; Correlation coefficient; Marine management; Meteorological parameters; Regression support vector machines; Sea surface temperature (SST); Supervised learning approaches; Tide gauge data; Time series prediction; Sea level |
| author2 |
57204919704 |
| author_facet |
57204919704 Lai V. Malek M.A. Abdullah S. Latif S.D. Ahmed A.N. |
| format |
Article |
| author |
Lai V. Malek M.A. Abdullah S. Latif S.D. Ahmed A.N. |
| spellingShingle |
Lai V. Malek M.A. Abdullah S. Latif S.D. Ahmed A.N. Time-series prediction of sea level change in the east coast of Peninsular Malaysia from the supervised learning approach |
| author_sort |
Lai V. |
| title |
Time-series prediction of sea level change in the east coast of Peninsular Malaysia from the supervised learning approach |
| title_short |
Time-series prediction of sea level change in the east coast of Peninsular Malaysia from the supervised learning approach |
| title_full |
Time-series prediction of sea level change in the east coast of Peninsular Malaysia from the supervised learning approach |
| title_fullStr |
Time-series prediction of sea level change in the east coast of Peninsular Malaysia from the supervised learning approach |
| title_full_unstemmed |
Time-series prediction of sea level change in the east coast of Peninsular Malaysia from the supervised learning approach |
| title_sort |
time-series prediction of sea level change in the east coast of peninsular malaysia from the supervised learning approach |
| publisher |
International Information and Engineering Technology Association |
| publishDate |
2023 |
| _version_ |
1806455105434681344 |
| score |
13.211869 |