FORECASTING MANILA SOUTH HARBOR MEAN SEA LEVEL USING SEASONAL ARIMA MODELS

Authors

  • Flerida Regine Q. Fernandez Pangasinan State University, Lingayen,
  • Neil B. Montero University of the Philippines, Baguio City,
  • Rodolfo B. Po III University of the Philippines, Baguio City,
  • Rizavel C. Addawe University of the Philippines, Baguio City,
  • Hazel Mae R. Diza Pangasinan State University, Lingayen,

Keywords:

Manila South Harbor, Sea level, SARIMA models, tide gauges, time series

Abstract

Global warming has adverse effects which include the rise of the mean sea level. This could be a problem especially those countries that are surrounded by bodies of water. The Manila South Harbor is a part of the South China Sea being one of the bodies of water that surround the Philippines. This paper aims to find Seasonal Autoregressive Integrated Moving Average (SARIMA) models that fits the given time series composed of the mean sea level of the Manila South Harbor from 2008 to 2014 measured in millimeters. Results show that there are three possible models that fit the time series but the chosen one is the model SARIMA. The forecasted values were then compared to the actual values of the mean sea level for the year 2015.

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Published

12-02-2018

How to Cite

Q. Fernandez, F. R., Montero, N. B., Po III, R. B., Addawe, R. C., & Diza, H. M. R. (2018). FORECASTING MANILA SOUTH HARBOR MEAN SEA LEVEL USING SEASONAL ARIMA MODELS. Journal of Technology Management and Business, 5(1). Retrieved from https://publisher.uthm.edu.my/ojs/index.php/jtmb/article/view/2238

Issue

Vol. 5 No. 1 (2018): Special Edition : Managing Epidemic and Natural Disaster using Mathematical Modelling

Section

Articles

License

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This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.