Chaotic Analysis for Malaysian West Coast Sea Level: a Case Study of Kukup, Johor

Abstract

Abstract Sea level prediction is an important task for navigation, coastal engineering, geodetic application and recreational activities. Predicting the behavior of future sea level is necessary for protection of coastal as well as for monitoring and forecasting of changes in fishery and marine ecosystems. This study is focused on the analysis and prediction of hourly sea level time series data at the benchmark station located in Kukup, Johor by using chaotic approach. The aim of this study was to detect the presence of chaotic behavior by the phase space reconstruction and Cao methods, and also a local linear approximation method is employed for prediction purposes. The results revealed that the value of correlation coefficient between the observed and predicted time series is 0.879 which is near to one. This indicates that the local linear approximation method can be used to predict the sea level time series in Malaysia. Indeed, the result of this study is expected to help stakeholder such as Department of Survey and Mapping Malaysia (JUPEM) in having a better sea level management.