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http://dx.doi.org/10.6109/jkiice.2018.22.2.276

Adaptive Sea Level Prediction Method Based on Harmonic Analysis  

Park, Sanghyun (Department of Multimedia Engineering, Sunchon National University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.22, no.2, 2018 , pp. 276-283 More about this Journal
Abstract
Climate changes consistently cause coastal accidents such as coastal flooding, so the studies on monitoring the marine environments are progressing to prevent and reduce the damage from coastal accidents. In this paper, we propose a new method to predict the sea level which can be applied to coastal monitoring systems to observe the variation of sea level and warn about the dangers. Existing sea level models are very complicated and need a lot of tidal data, so they are not proper for real-time prediction systems. On the other hand, the proposed algorithm is very simple but precise in short period such as one or two hours since we use the measured data from the sensor. The proposed method uses Kalman filter algorithm for harmonic analysis and double exponential smoothing for additional error correction. It is shown by experimental results that the proposed method is simple but predicts the sea level accurately.
Keywords
Ocean Environment Monitoring; Ocean Sensor; Real-Time Prediction; Sea Level Prediction;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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