International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Volume XLII-4/W16
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W16, 23–34, 2019
https://doi.org/10.5194/isprs-archives-XLII-4-W16-23-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W16, 23–34, 2019
https://doi.org/10.5194/isprs-archives-XLII-4-W16-23-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

  01 Oct 2019

01 Oct 2019

A REVIEW OF MODELLING APPROACHES ON TIDAL ANALYSIS AND PREDICTION

A. G. Abubakar1,2, M. R. Mahmud1, K. K. W. Tang1, A. Hussaini3, and N. H. Md Yusuf1 A. G. Abubakar et al.
  • 1Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia
  • 2Department of Surveying and Geo-Informatics, College of Environmental Studies, Waziri Umaru Federal Polytechnic Birnin Kebbi, Kebbi State, Nigeria
  • 3Department of Geography, Aminu Saleh College of Education Azare, Bauchi Bauchi, Nigeria

Keywords: Tides, Harmonic Analysis, Tidal Prediction, Hybrid Model

Abstract. Tide height depends on both long-term astronomical effects that are principally affected by the moon and sun and short-term meteorological effects caused by severe weather conditions which are very important tasks for human activities, safe marine navigation in shallow areas, oceans and coastal engineering work. Conventional tidal forecasting techniques are based on harmonic analysis, which is a superposition of many sinusoidal constituents with three parameters amplitudes, Phase and frequencies using the least squares method to determine the harmonic parameters. However, harmonic analysis required a large number of parameters and long-term tidal measured for precise tidal level predictions. Furthermore, what seems to stand out by the other researchers on traditional harmonic methods, was its limitation when short data are involved and rely on based on the analysis of astronomical components and they can be insufficient when the influence of non-astronomical components such as the weather, is important. Therefore, conventional harmonic analysis alone does not adequately predict the coastal water level variation, in order to deal with these situations and provide predictions with the desired accuracy, with respect to the length of the available tidal record, an alternative approach has been developed by various tidalist. In this study the state - of - art for tidal analysis and prediction techniques that have proven to be successful in a variety of circumstances have been reviewed in a systematic and consistent way for holistic understanding with a view to provide a reference for future work, showing their main mathematical concepts, model capabilities for tidal analysis and prediction with their limitations.