Ensemble empirical mode decomposition on storm surge separation from sea level data

Li Chung Wu, Chia Chuen Kao, Tai Wen Hsu, Kuo Ching Jao, Yi Fung Wang

研究成果: Article同行評審

7 引文 斯高帕斯(Scopus)

摘要

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.

原文English
頁(從 - 到)223-243
頁數21
期刊Coastal Engineering Journal
53
發行號3
DOIs
出版狀態Published - 2011 9月

All Science Journal Classification (ASJC) codes

  • 土木與結構工程
  • 建模與模擬
  • 海洋工程

指紋

深入研究「Ensemble empirical mode decomposition on storm surge separation from sea level data」主題。共同形成了獨特的指紋。

引用此