感潮河段為連接河川及海洋兩大水體的重大指標。感潮河段具有海洋潮汐、潮波、波浪與河川水文狀況互動之現象及特質。在感潮河段之研究重要性日益增高,加上近年來災害頻傳,管理與維護工作逐漸受到重視,在此之前若能了解感潮河段的各種影響因素,才能對感潮河段進行正確的管理與維護工作。 本研究目的為使用目前最新時頻分析方法-Emprirical Mode Decomposition (EMD),做為主要時頻分析之工具,將淡水河流域感潮河段之水位進行分析,將水位訊號所分解出來的本質分量函數(Intrinsic Mode Functions,IMF)再做進一步的分析與探討,以解釋影響感潮河段水位的構成的因素及其物理意義,希望可提供未來在設計水位、防災與氣候變遷等研究應用。
Tidal Stream is the major indicator that connected with the River and Ocean. Tidal Stream has the phenomenon of interaction and characteristics of the ocean tides, tidal waves, waves and river hydrology. While the research of the Tidal Stream is becoming important, coupled with numerous reports of disasters in recent years, the work of management and maintenance has become more and more important. We can do the appropriate work of management and maintenance before understanding the various factors. The objective of this research was used the latest time-frequency analysis method - Emprirical Mode Decomposition(EMD) as the main tool for time-frequency analysis. First of all, using its unique decomposition method to analysis the water level of Tidal Stream in the Dan-shui River. The second is use this Intrinsic Mode Functions (IMF) decompose by the signal of water level to explain the factors and physical meaning composed by the Tidal Stream. In this research ,it can provide designing the water level and the research of climate change, even can be used as the important reference indicator in the application of disaster prevention.
為了持續優化網站功能與使用者體驗,本網站將Cookies分析技術用於網站營運、分析和個人化服務之目的。
若您繼續瀏覽本網站,即表示您同意本網站使用Cookies。