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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 何昊哲(Hao-Che Ho) | |
| dc.contributor.author | Yen-Cheng Lin | en |
| dc.contributor.author | 林彥丞 | zh_TW |
| dc.date.accessioned | 2022-11-23T09:16:02Z | - |
| dc.date.available | 2021-08-20 | |
| dc.date.available | 2022-11-23T09:16:02Z | - |
| dc.date.copyright | 2021-08-20 | |
| dc.date.issued | 2021 | |
| dc.date.submitted | 2021-07-30 | |
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/79903 | - |
| dc.description.abstract | "極端氣候、河川坡陡流急與豐枯流量差異甚大的影響之下，台灣的旱澇發生頻率逐年攀升，因此水資源規劃、分配與防災的課題也日顯重要。而水資源規劃管理中，最需要分析的水文資料就是河川流量。近年來，利用非接觸式的方式量測水文資料已經成為主流發展趨勢，如大尺度粒子影像測速法(Large-Scale Particle Image Velocimetry, LSPIV)量測河道表面流速來推估流量。現階段考量到野外多變的環境，為獲得更精準的流量資料，還是透過接觸式的人工量測來獲取資料，如聲學都卜勒流速剖面儀(Acoustic Doppler Current Profiler, ADCP)，來取得斷面水深及垂直流速剖面來估算流量。上述的方式除了需要大量人力資源外，在洪水、極端事件的情況之下，更是存在非常高的危險性。因此，發展出非接觸式且高精度的水深量測技術將可以配合粒子影像測速法來有效的估算河川流量。 本研究嘗試用LSPIV技術來測量流體層的深度變化，實驗設置於長27公尺、寬1公尺的室內水槽，模擬3種流況流經5種不同形狀高度之底床構造物。實驗的所有流況都確保是完全發展的均勻流動，且為恆定的亞臨界流，量測用的示蹤粒子則為粒徑均介於0.4-0.5公分的熱塑性橡膠顆粒。研究利用LSPIV所獲取之二維表面流速資料，透過淺水波方程式，且解算的條件符合Courant-Friedrichs-Lewy (CFL)的限制下，在預設的網格中使用蛙跳法(Leap-frog scheme)進行數值分析來反演二維底床高程數據。LSPIV的表面流速資料會用聲學都卜勒測速儀(Acoustic Doppler Velocimetry, ADV)量測數據進行率定驗證，透過本研究反演的底床高程數據則與傳統水尺量測的高程資料進行率定驗證。結果顯示，本研究所提出的量測方法能有效的估算出水槽底床高程的變化，尤其是在淺水時，平均精度可達到90.8%。實驗結果也顯示，非接觸式的影像技術結合淺水波方程式的數值計算來求解水深並獲得流量資料是一種可行的方法。" | zh_TW |
| dc.description.provenance | Made available in DSpace on 2022-11-23T09:16:02Z (GMT). No. of bitstreams: 1 U0001-2907202116471800.pdf: 6951365 bytes, checksum: 410509b9f9cd78435384e572e4751b92 (MD5) Previous issue date: 2021 | en |
| dc.description.tableofcontents | 口試委員審定書 I 誌謝 II 摘要 III Abstract IV 目錄 VI 圖目錄 IX 表目錄 XIII 第1章 緒論 1 1.1研究動機與目的 1 1.2論文架構 5 第2章 文獻回顧 6 2.1傳統水文量測 6 2.1.1流速量測 6 2.1.2水位量測 12 2.2影像測速 14 2.2.1粒子影像測速法 14 2.2.2大尺度粒子影像測速法 17 2.3淺水波方程式 19 第3章 研究方法 21 3.1實驗環境設置 21 3.1.1水槽設計 21 3.1.2底床構造物設計 22 3.1.3示蹤粒子使用 25 3.1.4都卜勒聲學流速儀 26 3.1.5攝影設備 28 3.2大尺度粒子影像測速法 29 3.2.1正射校正 29 3.2.2影像前處理 30 3.2.3 子圖像設定 31 3.2.4互相關性 32 3.2.5表面流速濾波 33 3.3 影像測深 34 3.3.1淺水波方程式 34 3.3.2蛙跳法 39 3.3.3 Courant-Friedrichs-Lewy(CFL)條件 41 3.4 研究場次概述 42 第4章 研究成果與討論 46 4.1 ADV資料分析結果 46 4.2 PIV分析結果 52 4.2.1子圖像(IA)尺寸之影響 52 4.2.2圖像幀數之影響 56 4.2.3影像測速分析結果 60 4.3 影像測深結果 65 4.3.1網格之影響 65 4.3.2水深之影響 68 4.3.3影像測深分析結果 72 第5章 結論與建議 79 5.1結論 79 5.2建議 80 參考文獻 81 | |
| dc.language.iso | zh-TW | |
| dc.subject | 測深法 | zh_TW |
| dc.subject | 大尺度粒子影像測速法 | zh_TW |
| dc.subject | 淺水波方程式 | zh_TW |
| dc.subject | 底床高程 | zh_TW |
| dc.subject | Water depth measurement | en |
| dc.subject | Bathymetry | en |
| dc.subject | Shallow water equations | en |
| dc.subject | LSPIV | en |
| dc.title | 應用影像分析表面流速反演水下地形之研究 | zh_TW |
| dc.title | Application of Image Technique to Obtain Surface Velocity and Bathymetry in Open Channel Flow | en |
| dc.date.schoolyear | 109-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 韓仁毓(Hsin-Tsai Liu),甯方璽(Chih-Yang Tseng) | |
| dc.subject.keyword | 大尺度粒子影像測速法,淺水波方程式,底床高程,測深法, | zh_TW |
| dc.subject.keyword | LSPIV,Shallow water equations,Bathymetry,Water depth measurement, | en |
| dc.relation.page | 86 | |
| dc.identifier.doi | 10.6342/NTU202101903 | |
| dc.rights.note | 同意授權(全球公開) | |
| dc.date.accepted | 2021-08-02 | |
| dc.contributor.author-college | 工學院 | zh_TW |
| dc.contributor.author-dept | 土木工程學研究所 | zh_TW |
| 顯示於系所單位： | 土木工程學系 | |
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