Please use this identifier to cite or link to this item: http://oaps.umac.mo/handle/10692.1/274
Title: Estimation of the sea level rise in South China Sea
Authors: CHAN, KA IAM(陳嘉鑫)
Department: Department of Civil and Environmental Engineering
Faculty: Faculty of Science and Technology
Keywords: EEMD
wavelet analysis
LSTM
South China Sea
Issue Date: 16-May-2022
Citation: Chan, K. I. (2022). Estimation of the sea level rise in South China Sea (OAPS)). Retrieved from University of Macau, Outstanding Academic Papers by Students Repository.
Abstract: In this paper, Ensemble Empirical Mode Decomposition (EEMD) and wavelet analysis were used to analyze the South China Sea sea level satellite data from 1993-2019. The results show that the sea level height in the South China Sea generally shows a clear rising trend with a rate of 4 mm/a. Meanwhile, the prediction results of the Long ShortTerm Memory (LSTM) network show that the sea level in the South China Sea will be 40-104 mm higher in the next 23 years than the sea level in 2019.
Course: Bachelor of Science in Civil Engineering
Instructor: Prof. Shi Huabin
Programme: Bachelor of Science in Civil Engineering
URI: http://oaps.umac.mo/handle/10692.1/274
Appears in Collections:FST OAPS 2022

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