Please use this identifier to cite or link to this item:
http://oaps.umac.mo/handle/10692.1/274
Full metadata record
DC Field | Value | Language |
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dc.contributor.author | CHAN, KA IAM(陳嘉鑫) | - |
dc.date.accessioned | 2022-05-24T08:10:58Z | - |
dc.date.available | 2022-05-24T08:10:58Z | - |
dc.date.issued | 2022-05-16 | - |
dc.identifier.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. | en_US |
dc.identifier.uri | http://oaps.umac.mo/handle/10692.1/274 | - |
dc.description.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. | en_US |
dc.language.iso | en | en_US |
dc.subject | EEMD | en_US |
dc.subject | wavelet analysis | en_US |
dc.subject | LSTM | en_US |
dc.subject | South China Sea | en_US |
dc.title | Estimation of the sea level rise in South China Sea | en_US |
dc.type | OAPS | en_US |
dc.contributor.department | Department of Civil and Environmental Engineering | en_US |
dc.description.instructor | Prof. Shi Huabin | en_US |
dc.contributor.faculty | Faculty of Science and Technology | en_US |
dc.description.course | Bachelor of Science in Civil Engineering | en_US |
dc.description.programme | Bachelor of Science in Civil Engineering | en_US |
Appears in Collections: | FST OAPS 2022 |
Files in This Item:
File | Description | Size | Format | |
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OAPS_2022_FST_DB825027_Chan KaIam_Estimation of the sea level rise in South China Sea.pdf | 29.6 MB | Adobe PDF | View/Open |
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