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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/50646

Title: ENSEMBLE EMPIRICAL MODE DECOMPOSITION ON STORM SURGE SEPARATION FROM SEA LEVEL DATA
Authors: Li-Chung Wu
Chia Chuen Kao
Tai-Wen Hsu
Kuo-Ching Jao
Yi-Fung Wang
Contributors: 國立臺灣海洋大學:河海工程學系
Keywords: Ensemble empirical mode decomposition
harmonic analysis
storm surge
sea level data
Date: 2011-09
Issue Date: 2018-10-19T07:23:31Z
Publisher: Coastal Engineering Journal.
Abstract: Abstract: This paper concerns the storm surge calculation based on the algorithm of ensemble empirical mode decomposition (EEMD). An accurate storm surge result is key information for coastal disaster warning and prevention. Separation of storm surge magnitude from sea level data has typically been done by specifying tidal input from main tidal harmonics. Obtaining accurate storm surge magnitude with harmonic analysis (HA) requires at least one month. This study discusses possible storm surge separation from short-term sea level time series using EEMD. The current work reveals that EEMD is predominant for short-term sea level data analysis shorter than thirty-five days. Due to different residues obtained from EEMD, this work proposes a method to determine most ideal residue for representing the storm surge.
Relation: 53(3) pp.223-243
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/50646
Appears in Collections:[河海工程學系] 期刊論文

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