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論文中文名稱:EEMD應用於暴雨基流分離 [以論文名稱查詢館藏系統]
論文英文名稱:Baseflow separation using EEMD [以論文名稱查詢館藏系統]
院校名稱:臺北科技大學
學院名稱:工程學院
系所名稱:土木與防災研究所
畢業學年度:102
出版年度:103
中文姓名:劉宏毅
英文姓名:Hong-Yi Liu
研究生學號:101428068
學位類別:碩士
語文別:中文
口試日期:2014-07-11
論文頁數:58
指導教授中文名:陳彥璋
口試委員中文名:廖翊鈞;童慶斌;林裕彬
中文關鍵詞:基流分離暴雨EEMD
英文關鍵詞:Baseflow separationstormEEMD
論文中文摘要:水文歷線代表直接逕流及基流兩部分總和,直接逕流大部分是由超滲降雨形成,為造成洪水之主因;基流為河川在乾旱情況下所排出之流量。河川流域的水文特性與各類水文災害之間的關係十分密切。因此,了解台灣河川水文特性以及影響台灣水文特性的因素,是了解台灣各類水文災害的關鍵。台灣因位處亞熱帶以及世界最大陸地與最大海洋之間,季風氣候極為顯著,夏季高溫多雨,降雨豐沛;冬季則十分乾旱少雨,使得台灣河川洪枯流量差距極大。
不同以往使用經驗模式做基流分離之方法,這些方法或過於主觀、或不具物理概念或與實際水文狀況不符。本研究主要為暴雨期間,比較傳統的基流分離方法與使用EEMD做基流分離之間的差異,將台灣北部北勢溪-思源橋及𩻸魚堀溪-大林橋兩河川流量資料,為解決模態混雜(mode mixing)的問題,使用了整體經驗模式解構法(Ensemble Empirical Model Decomposition(EEMD))做為基流分離之工具。若未來可以有效地利用EEMD進行基流分離,將可以客觀且具物理意義的方式做基流分離分析,無論在學術理論上或工程實務上都可已有很大的幫助。
論文英文摘要:Hydrograph representative the sum of two parts-the direct runoff and the baseflow. The direct runoff is formed by a super majority of rainfall infiltration is the primary cause of floods. The baseflow in the river flow is discharged from the drought conditions. The relationship between the hydrological characteristics of river basin and various types of hydrological disasters are very close. Therefore, understanding the hydrological characteristics of the Taiwan’s rivers, and the factors that affect the hydrologic characteristics of Taiwan, is the key to understanding all kinds of hydrological disasters of Taiwan. Taiwan is located at subtropical climate, and between the world's largest land and largest ocean, the monsoon climate is extremely significant. It’s hot and rainy in summer, and abundant rainfall. However it’s very drought in winter, that makes the gap of Taiwan rivers is enormous between flow and dry season.
Different from the past by using empirical mode as the method of baseflow separation, these methods are either too subjective, or non-physical concepts, or inconsistent with the actual hydrological conditions. This study compare the difference between traditional method of base flow separation method, and by using EEMD (Ensemble Empirical Model Decomposition) as the base flow separation in the rainstorm season. We study the flow data of two rivers in northern Taiwan- the Peishih River – Siyuan bridge and Daiyujue River – Dalin bridg. In order to solve the problem of mode mixing, We use the Ensemble Empirical Model Decomposition (EEMD) as a tool for the separation of base flow. If it can be effectively utilized EEMD as the base flow separation in the future, it will be able to do the base flow separation analysis in objectively possessed and physical sense way. It can be a great help both in academic theory or in engineering practices.
論文目次:中文摘要 i
英文摘要 iii
致 謝 v
圖目錄 ix
表目錄 xi
第一章 緒論 1
1.1前言 1
1.2研究動機與目的 2
1.3論文架構簡介 3
第二章 文獻回顧 5
2.1 基流 5
2.2基流分離方法介紹 5
2.2.1 圖解法 6
2.2.2 濾波法 6
2.2.3 分析法 7
2.3 其它基流分離之相關研究 7
2.4 單峰歷線及複合歷線 10
第三章 水文概述 13
3.1 水文循環 13
3.2 逕流現象 14
3.3 降水 17
3.3.1 降雨型態 17
3.3.2 颱風 18
3.3.3 梅雨 21
第四章 研究方法 22
4.1 理論介紹 22
4.1.1 經驗模式解構法(Empirical Mode Decomposition) 22
4.1.2 整體經驗分解法(Ensemble Empirical Model Decomposition(EEMD)) 25
4.1.3 IMF物理意義 27
第五章 研究區域 29
5.1 研究區域概述 29
5.1.1 北勢溪-思源橋 29
5.1.2𩻸魚堀溪-大林橋 30
5.2 水位流量站及雨量站資料處理 31
5.2.1 水位流量 31
5.2.2 暴雨時期 32
第六章 結果與討論 36
6.1 研究結果 36
6.1.1北勢溪-思源橋 36
6.1.2 𩻸魚堀溪-大林橋 39
6.2 分析及討論 41
6.2.1 颱風事件 41
第七章 結論與建議 54
7.1 結論 54
7.2建議 54
參考文獻 56
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論文全文使用權限:同意授權於2019-09-03起公開