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http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/71336Full metadata record
| ???org.dspace.app.webui.jsptag.ItemTag.dcfield??? | Value | Language |
|---|---|---|
| dc.contributor.advisor | 韓仁毓 | |
| dc.contributor.author | Yan-Ting Lin | en |
| dc.contributor.author | 林彥廷 | zh_TW |
| dc.date.accessioned | 2021-06-17T05:59:02Z | - |
| dc.date.available | 2026-02-14 | |
| dc.date.copyright | 2019-02-19 | |
| dc.date.issued | 2019 | |
| dc.date.submitted | 2019-02-14 | |
| dc.identifier.citation | Ackermann, F., 1984. Digital image correlation: performance and potential application in photogrammetry. The Photogrammetric Record, 11(64), 429-439.
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/71336 | - |
| dc.description.abstract | 極端氣候影響下，山區邊坡大量崩塌土砂隨著洪水流入蜿蜒河道中，產生崩塌及洪水災害，影響了周邊道路交通及村落居民生命安全。為了量化洪水災害所帶來的影響，相關研究利用數值地形模型進行洪水事件模擬，達到監測山區河道形貌並評估洪水氾濫影響。然而，監測分析過程中，易受限於水文資料缺漏、過時，甚至是多尺度空間整合應用問題。因此，本研究為解決水文及空間資料限制，提出以最小二乘法為基礎之水文資料補遺轉換模型及多尺度地形內插法，輔以現地調查資料測試方法之可行性。現地實驗透過無人飛行載具測繪技術，建構台灣新北市南勢溪河道地形，並由多個尺度地形模型及補遺的水文觀測數據完成該河道地形演化和洪水模擬分析。根據實驗分析獲得以下四個成果：首先，應用fast artifacts-free image interpolation (FAFI)內插法可保留內插前格網中資料特性，並運用該特性提升數值高程模型資料解析度；再者，本研究所提出imitated stream line interpolation (ISLI)內插法，針對蜿蜒河道斷面資料，能有效建構數值高程模型；第三，應用多尺度地形模型於洪水模擬測試中，優於十公尺解析度之數值高程模型能提供山區地形較準確之洪水模擬成果；最後，應用無人飛行載具測繪技術能彈性更新數值地形模型，並作為可靠的高解析度空間資料來源，進而輔助提升洪氾影響區域之辨識。綜合以上成果顯示，本研究不僅能夠克服多尺度空間資料應用限制，並有效地完成水文觀測資料補遺，實現高解析度山區蜿蜒河道形貌監測及洪氾模擬，提供災害管理相關單位作為穩定且具成本效益之監測整合方法。 | zh_TW |
| dc.description.abstract | Under extreme weather conditions, mountain landslides become a frequent phenomenon, resulting in an excessive deposition in meandering rivers. To realize the disaster impacts, the characterization of mountain morphology is utilized to simulate flood events, used to evaluate the disaster scope. However, in the processing, crucial observation data including hydrological values and spatial features are incomplete. This study proposes a way to supplement the missing data, integrate multi-scale terrain information, and efficiently carry out flood simulation. The meandering terrain of Nan-Shi River is surveyed with the application of Unmanned Aerial Vehicle (UAV) technique, so a high-resolution Digital Elevation Model (DEM) can be constructed. Based on the multi-scale DEM and hydrological data, a terrain analysis and flood simulations are conducted. According to field validations, this study has achieved four main goals. First, fast artifacts-free image interpolation (FAFI) is a more applicable method for improving DEM resolution. Second, imitated stream line interpolation (ISLI) is the most appropriate method for modeling the meandering river cross-sections. Third, the DEMs (<10 m resolution) support more accurate simulation outcomes in this study area. Finally, the up-to-date geo-morphology significantly influences the outcome of flood simulations. This study not only enables a complete approach that overcomes spatial limitations and surmounts hydrological data shortage but uses an integrated approach to offer a reliable and cost-efficient monitoring technique for river management authorities.
Keywords: high-resolution mapping technology; meandering terrain; Nan-Shi River; imitated stream line interpolation (ISLI); flooding simulation (Flood2D-GPU application) | en |
| dc.description.provenance | Made available in DSpace on 2021-06-17T05:59:02Z (GMT). No. of bitstreams: 1 ntu-108-D01521004-1.pdf: 12909150 bytes, checksum: bcb863d816bf3bdbf19468c19e77f087 (MD5) Previous issue date: 2019 | en |
| dc.description.tableofcontents | 中文摘要 I
Abstract II Contents IV Figure List VI Table List XII Chapter 1. Introduction 1 Chapter 2. Literature Review 7 2.1 Spatial Information Acquisition 7 2.1.1 Traditional Ground Surveys 7 2.1.2 Aerial Mapping 10 2.2 Spectral Image Processing and Terrain Interpolation Methods 16 2.2.1 Image Processing Techniques for Feature Classification and Matching 16 2.2.2 Grid Information and Interpolation Methods of the Digital Terrain 19 2.3 Hydrological Information Acquisition 24 2.3.1 Water Level Measurement 24 2.3.2 Discharge Measurement 26 2.3.3 Rating Curve of Water Level and Discharge 28 2.4 Flood Simulation Analysis 30 2.4.1 HEC-RAS Model 30 2.4.2 Flood Simulation Modeling with Two Dimension and Three Dimension 32 Chapter 3. Methodology 38 3.1 Geospatial Information Acquisitions and Interpolation Analysis 39 3.1.1 Acquisitions of the Images and Spatial Information 39 3.1.2 Spatial Data Interpolation 41 3.2 Addendum Processing to the Hydrological Data 48 3.3 Multi-dimensional Analysis of River Topography 53 3.3.1 One-dimension River Topography Analysis 53 3.3.2 River Scour and Deposition Evolution by Two-dimension Elevation Analysis 56 3.4 Flood Simulation Using Shallow Water Equations in the Flood2D-GPU model 58 Chapter 4. Validation 66 4.1 Study Area and Field Data Acquisitions 66 4.2 Preprocessing of the Field Survey Data 72 4.2.1 Preprocessing of the Topography Data 72 4.2.2 Analyses of Hydrological Data Pre-processing 82 4.3 Analysis of the River Morphology and Estimation of the Deposition Collapses 88 4.3.1 River Morphology in the Elevation Profile Analysis 88 4.3.2 Estimations of Deposition Volumes in Nan-Shi River and its Tributary 90 4.4 Simulations Analysis of a Previous Significant Flooding Event 92 4.4.1 Introduction of the Past Significant Flood Events 94 4.4.2 Evaluation Analysis of the Manning's n Values Calibration 96 4.4.3 Analysis of Flood Simulations Using Digital Elevation Models 97 Chapter 5. Conclusion and Future Works 121 Reference 125 | |
| dc.language.iso | en | |
| dc.subject | 高解析度地形測繪技術 | zh_TW |
| dc.subject | 蜿蜒河道地形 | zh_TW |
| dc.subject | 南勢溪 | zh_TW |
| dc.subject | 仿流線地形內插法 | zh_TW |
| dc.subject | 淹水模擬(應用Flood2D-GPU模型) | zh_TW |
| dc.subject | meandering terrain | en |
| dc.subject | high-resolution mapping technology | en |
| dc.subject | imitated stream line interpolation (ISLI) | en |
| dc.subject | Nan-Shi River | en |
| dc.subject | flooding simulation (Flood2D-GPU application) | en |
| dc.title | 以高解析度空間資訊輔助山區蜿蜒河道監測分析 | zh_TW |
| dc.title | The Monitoring of a Meandering River in Mountain Based on High-Resolution Spatial Information | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 107-1 | |
| dc.description.degree | 博士 | |
| dc.contributor.oralexamcommittee | 趙鍵哲,徐百輝,卡艾瑋,游景雲,史天元 | |
| dc.subject.keyword | 高解析度地形測繪技術,蜿蜒河道地形,南勢溪,仿流線地形內插法,淹水模擬(應用Flood2D-GPU模型), | zh_TW |
| dc.subject.keyword | high-resolution mapping technology,meandering terrain,Nan-Shi River,imitated stream line interpolation (ISLI),flooding simulation (Flood2D-GPU application), | en |
| dc.relation.page | 133 | |
| dc.identifier.doi | 10.6342/NTU201900589 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2019-02-14 | |
| dc.contributor.author-college | 工學院 | zh_TW |
| dc.contributor.author-dept | 土木工程學研究所 | zh_TW |
| Appears in Collections: | 土木工程學系 | |
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