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請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/67185
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor李鴻源
dc.contributor.authorChe-Wei Shenen
dc.contributor.author沈哲緯zh_TW
dc.date.accessioned2021-06-17T01:22:41Z-
dc.date.available2017-08-20
dc.date.copyright2017-08-20
dc.date.issued2017
dc.date.submitted2017-08-09
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/67185-
dc.description.abstract崩塌的發育與河流作用息息相關,河流水力侵蝕邊坡坡腳而導致崩塌發生,而崩塌土砂進入河道會改變河流形貌。但目前研究對於河流水力侵蝕和邊坡的交互作用研究仍然相當缺乏,特別在山區岩床河道,許多邊坡穩定模式往往未考慮河流水力侵蝕效應而無法反映崩塌空間分布,本研究透過地理資訊系統的方法萃取河流水力侵蝕作用的空間分布,並且將邊坡單元與河流連接,統計歸納崩塌與河流水力侵蝕因子關係,並依據崩塌與河流水力侵蝕因子的量化分析成果,採決策樹建立水力侵蝕崩塌預測模式,並以石門水庫集水區巴陵壩上游五公里至下游義興壩範圍為研究區。研究結果顯示,從主流縱剖面和邊坡單元面向,研究區河道中流量、集水面積、河道蜿蜒度、水深、河寬與崩塌密度具有顯著相關,若考慮河流距離後,則是河道蜿蜒度和河道邊界剪應力最能解釋崩塌地之分布。此外,河岸邊坡類型會影響崩塌多寡,依研究區域崩塌密度排序基蝕坡最高,源頭坡次之,居末為滑走坡,基蝕坡和滑走坡在下游高蜿蜒度河段水力侵蝕崩塌差異愈趨明顯,且採決策樹整合河流水力侵蝕崩塌預測模式明顯比水文型無限邊坡模式為佳,整體正確率由54.7%提升至83%,顯見水力侵蝕作用對於河岸侵蝕和誘發崩塌所演的角色更為重要。
水力侵蝕崩塌連結度結果可知水力侵蝕崩塌顯著分布,當(1)標準化河流距離小於等於 0.298時;(2)邊坡安全係數介於 0.5 至 1.5之間;(3)河川級序6級河且為基蝕坡;(4)單位河川水力指標大於19,848.3 W/m^2;(5)河道蜿蜒度介於1.246 ~1.486區間;(6)河道邊界剪應力達1,921.1 Pa以上等情況為易產生水力侵蝕崩塌之區位。
此外,蒐集1968~2015年共2,001筆現地觀測資料,以穩健迴歸分析 (robust regression)率定崩塌體積-面積關係式,計算艾利颱風河岸邊坡崩塌體積、崩塌侵蝕率及崩塌規模尺度 (landslide magnitude scale, mL),結果顯示在不同河岸邊坡類型 (基蝕坡、滑走坡和源頭邊坡)侵蝕速率具顯著差異,基蝕坡於6級河達最大約為60 mm/year、滑走坡於1級河達最大約為32 mm/year及源頭坡於1級河達最大約為16 mm/year,崩塌體積集中在主河道近岸高蜿蜒河段基蝕坡區域,相較於中上游增加3倍,且三種河岸邊坡類型崩塌規模尺度皆達10年以上。
綜合各項分析可知,不同河岸邊坡類型相互呈現顯著性差異,再者,河川級序愈高或河道蜿蜒度愈高時,基蝕坡和滑走坡的崩塌侵蝕速率的差異愈大,顯示基蝕坡受到較強的流速和二次流效應,侵蝕作用較為強烈,而滑走坡則水流速度較慢,泥砂沉積物堆積在坡腳保護,不容易被水力侵蝕,因此,水力侵蝕作用在下游或河道彎道河段扮演更重要的角色。此外,藉由比較無限邊坡模式和整合水力侵蝕因子的模式,整合水力侵蝕因子確實能增加模式的準確性,特別是在下游的河段,故本研究突顯河道彎道水力侵蝕對於山區崩塌和地形演育的重要性。
zh_TW
dc.description.abstractMountain channels are strongly coupled with adjacent hillslopes. Hydraulic erosion cuts channel bank resulting in hillslope instability. Conversely, aggregated landslide sediment changes the channel morphology. However, the knowledge of stream-hillslope coupling is still lacking, especially in the bedrock channel and mountainous regions, and the effects of hydraulic erosion on landslide have not been considered in landslide susceptibility models. This study used a geographical information system to extract the spatial distribution of hydraulic erosion processes and linked it to the spatial units of channel-hillslope. Then, this study quantified the relationship between “hydraulic erosion on landsliding” and “integrated hydraulic erosion and riverbank landslide” to develop an integrated landslide probability model of hydraulic erosion (ILAPHE). The study area covered a 5 km meandering stream between Balin Dam and the Yixing dam within the Shihmen reservoir watershed.
The results of this study on hydraulic erosion and landslides can be summarized in two parts. First, an analysis based on the longitudinal profile of the main stream and the slope units shows that river discharge, drainage area, sinuosity, water depth, and width were significantly correlated with landslide density. Normalized distance to stream, river sinuosity and boundary shear stress were the best predictors of landslides. On the other hand, hillslope type affected landslide density the most in headward slope, followed by undercut slope and slip-off slope. And the difference between undercut and slip-off slopes in landslide density increased with stream order and sinuosity. Moreover, with inclusion of hydraulic erosion, ILAPHE significantly improved the accuracy and reliability of predicting riverbank landslide, with a modified accuracy of 83%.
Second, hydraulic erosion had most apparent effects on landsliding along the meandering river when the normalized distance to stream was less than or equal to 0.298, the safety factor of hillsope was between 0.5 and 1.5, sixth-order streams existed in undercut slope, the unit stream power index was more than or equal to 19,848.3 W/m2, the sinuosity was between 1.246 and 1.486, and the boundary shear stress was more than 1,921.1 Pa.To quantify landslide magnitude, 2,001 landslides from historical typhoon events in 1968~2015 were mapped, and landslide volume, erosion rate, and landslide magnitude scale of Typhoon Aere were estimated by using a landslide volume-area relation. The results show that the maximum landslide erosion rates on the undercut, slip-off, and headward hillslopes were 60 mm/year (sixth-stream order), 32 mm/year (first-stream order), and 16 mm/year (first-stream order), respectively, and were significantly different among them. Landslide volume peaked along the fifth or sixth-order stream with high sinuosity and undercut hillslopes, and the landslide erosion rate of a six-order stream was three times higher than the middle and upper-streams. Moreover, the landslide magnitude scale reached above 10 years for all three types of hillslopes.
The results also show that landslide erosion rates increased with sinuosity, boundary shear stress or stream order on the undercut slope, but decreased on the slip-off slope. This suggests that the effects of hydraulic erosion play a more important role on the meandering or downstream river than on the straight or upstream river by eroding the materials on the undercut slopes and depositing sediment on the slip-off slopes. Furthermore, comparing the infinite slope stability analysis with and without using hydraulic erosion factors, it shows that the usage of the hydraulic erosion factors can improve the model performance, especially for the downstream area. This study highlights the need to understand more about the fluvial effects on landslides of hydraulic erosion and topography evolution in mountainous areas along meandering river.
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dc.description.tableofcontents口試委員會審定書 I
謝辭 II
摘要 III
Abstract V
目 次 IX
表目次 XII
圖目次 XIV
第一章 緒論 1
1.1 研究背景與動機 1
1.1.1 研究背景 1
1.1.2 研究動機 2
1.2 研究目的 5
1.3 研究流程 6
1.4 研究內容 9
第二章 文獻回顧 11
2.1 河床沖刷機制 11
2.1.1 河床沖刷 11
2.1.2 岩床河道侵蝕特性 13
2.2 河道彎道水力侵蝕崩塌特性 17
2.2.1 曲流河道萃取 17
2.2.2 河道水力侵蝕因子特性 22
2.2.3 河道侵蝕作用引致崩塌 30
2.3 崩塌預測模式 33
2.3.1 SHALSTAB 33
2.3.2 TRIGRS 37
2.3.3 Logistic regression 41
2.3.4 物理與統計整合模式 43
第三章 研究區域 45
3.1 集水區地文概述 45
3.1.1 地形與地理位置 46
3.1.2 坡度及坡向 49
3.1.3 地質與土壤分布 49
3.2 集水區水文概述 56
3.2.1 水系 56
3.2.2 降雨量 56
3.2.3 流量與輸砂 57
3.3 歷史山崩分布 61
3.4 模式研究區選擇與區域概述 64
3.4.1 模式研究區選擇 64
3.4.2 模式研究區概述 68
第四章 研究方法 73
4.1 研究材料蒐集與建置 73
4.1.1 多時序事件型山崩目錄 73
4.1.2 雨量因子 81
4.1.3 水力侵蝕因子 84
4.2 河道彎道與河岸邊坡空間關連性 97
4.3 水文型無限邊坡穩定分析 102
4.4 決策樹方法理論 106
第五章 水力侵蝕與河岸崩塌特性 109
5.1 主流水力侵蝕與崩塌分布特性 109
5.1.1 主流水力侵蝕特性歸納 109
5.1.2 主流水力侵蝕與崩塌分布特性 114
5.2 水力侵蝕與崩塌相關性 117
5.2.1 研究區域水力侵蝕因子與崩塌相關性 117
5.2.2 不同河岸邊坡類型水力侵蝕因子與崩塌相關性 120
5.3 不同河岸邊坡類型崩塌特性 125
5.4 崩塌與河流之距離關係 134
第六章 整合水力侵蝕之崩塌預測模式 137
6.1 水文型無限邊坡穩定分析結果 137
6.1.1 分析參數率定 137
6.1.2 無限邊坡穩定分析結果 144
6.2 整合河道彎道水力侵蝕之崩塌預測暨連結度分析 146
6.2.1 分析流程與資料處理 148
6.2.2 河道彎道水力侵蝕崩塌連結度 154
6.2.3 河道彎道水力侵蝕崩塌規模 160
6.2.4 主控水力侵蝕因子崩塌規模特性 172
6.3 河道彎道水力侵蝕作用崩塌變遷案例 182
第七章 結論與建議 189
7.1 結論 189
7.2 建議 192
參考文獻 195
附錄1 決策樹計算案例說明 附錄1-1
附錄2 決策樹分析程式碼摘錄 附錄2-1
附錄3 水筒模式率定與驗證 附錄3-1
附錄4整合無限邊坡安全係數與水力侵蝕因子之崩塌預測模式- 採Logistic regression 附錄4-1
附錄5 水力侵蝕崩塌決策樹關連分析成果 附錄5-1
附錄6 水力侵蝕因子於不同河岸邊坡型態之崩塌侵蝕量 附錄6-1
附錄7 水力侵蝕因子崩塌規模尺度成果 附錄7-1
附錄8 兩處水力侵蝕崩塌案例蘇力颱風後現地調查結果 附錄8-1
dc.language.isozh-TW
dc.subject水力侵蝕崩塌zh_TW
dc.subject河彎彎道 (曲流)zh_TW
dc.subject基蝕坡zh_TW
dc.subject決策樹zh_TW
dc.subject河川連結度zh_TW
dc.subjectriver connectivityen
dc.subjectlandslide of hydraulic erosionen
dc.subjectmeandering riveren
dc.subjectundercut slopeen
dc.subjectdecision treeen
dc.title河道彎道水力侵蝕崩塌預測暨連結度之研究zh_TW
dc.titleA Study on Landslide Prediction and River Connectivity of Hydraulic Erosion along a Meandering Riveren
dc.typeThesis
dc.date.schoolyear105-2
dc.description.degree博士
dc.contributor.oralexamcommittee張康聰,楊錦釧,游景雲,何昊哲
dc.subject.keyword水力侵蝕崩塌,河彎彎道 (曲流),基蝕坡,決策樹,河川連結度,zh_TW
dc.subject.keywordlandslide of hydraulic erosion,meandering river,undercut slope,decision tree,river connectivity,en
dc.relation.page282
dc.identifier.doi10.6342/NTU201702718
dc.rights.note有償授權
dc.date.accepted2017-08-10
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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