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  1. NTU Theses and Dissertations Repository
  2. 工學院
  3. 土木工程學系
Please use this identifier to cite or link to this item: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/86250
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???org.dspace.app.webui.jsptag.ItemTag.dcfield???ValueLanguage
dc.contributor.advisor林美聆(Meei-Ling Lin)
dc.contributor.authorAn Leeen
dc.contributor.author李安zh_TW
dc.date.accessioned2023-03-19T23:44:47Z-
dc.date.copyright2022-09-02
dc.date.issued2022
dc.date.submitted2022-08-29
dc.identifier.citation參考文獻 1. Aryal, A., Brooks, B. A., Reid, M. E., Bawden, G. W., & Pawlak, G. R. (2012). Displacement fields from point cloud data: Application of particle imaging velocimetry to landslide geodesy. Journal of Geophysical Research: Earth Surface, 117(F1). 2. Ba, Q., Chen, Y., Deng, S., Yang, J., & Li, H. (2018). A comparison of slope units and grid cells as mapping units for landslide susceptibility assessment. Earth Science Informatics, 11(3), 373-388. 3. Carrara, A., Cardinali, M., Guzzetti, F., & Reichenbach, P. (1995). GIS technology in mapping landslide hazard. In Geographical information systems in assessing natural hazards (pp. 135-175). Springer, Dordrecht. 4. Cruden, D. M., and Varnes, D. J. (1996). “Landslide Types and Processes. In Landslides: Investigation and Mitigation.” Special Report 247,, Turner, A.K., Schuster, R.L., Eds. National Research Council, National Academy of Science, Washington D.C., 36-75. 5. Guzzetti, F., Carrara, A., Cardinali, M., & Reichenbach, P. (1999). Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy. Geomorphology, 31(1-4), 181-216. 6. Jia N, Mitani Y, Xie M, Tong J, Yang Z (2015) GIS deterministic modelbased 3d large-scale artificial slope stability analysis along a highway using a new slope unit division method. Nat Hazards 76(2):873–890. 7. Liao Z.,Hong Y., Wang J., Fukuoka H., Sassa K., Karnawati D., Fathani F. (2010) Prototyping an experimental early warning system for rainfall-induced landslides in Indonesia using satellite remote sensing and geospatial datasets. Landslides, Vol.7, No.3, pp. 317-324. 8. Lin, M. L., Chen, T.W., Lin, C. W., Ho, D. J., Cheng, K. P., Yin, H. Y. , Chen, M. C. (2014). Detecting Large-Scale Landslides Using Lidar Data and Aerial Photos in the Namasha-Liuoguey Area, Taiwan. Remote Sensing, 6, 42-63. 9. Michele C., L. Cascini, S. Mastroianni. (2013). Landslide zoning over large areas from a sample inventory by means of scale-dependent terrain units. Geomorphology, (182), 33–48. 10. Schlögel R., I. Marchesini, M. Alvioli, P. Reichenbach, M. Rossi, J.-P. Malet. (2018). Optimizing landslide susceptibility zonation: Effects of DEM spatial resolution and slope unit delineation on logistic regression models. Geomorphology, 301, 10-20. 11. Sassa K., Fukuoka H., Sato Y., Takara K., Doan L. Setiawan H., Pham T. Dang K. (2014): Initiation Mechanism of Rapid and Long Runout Landslide and Simulation of Hiroshima Landslide Disasters using the Integrated Simulation Model (LS-RAPID). Proceeding of International Forum “Urbanization and Landslide Disaster”, Kyoto, Japan, 8 October 2014, published by the International Consortium on Landslides. pp: 85-112. 12. White, D. J., Take, W. A., & Bolton, M. D. (2003). Soil deformation measurement using particle image velocimetry (PIV) and photogrammetry. Geotechnique, 53(7), 619-631. 13. Wang, Q., Wang, D., Huang, Y., Wang, Z., Zhang, L., Guo, Q., ... & Sang, M. (2015). Landslide susceptibility mapping based on selected optimal combination of landslide predisposing factors in a large catchment. Sustainability, 7(12), 16653-16669. 14. Willert, C. E., & Gharib, M. (1991). Digital particle image velocimetry. Experiments in fluids, 10(4), 181-193. 15. Xie, M., Esaki, T., & Zhou, G. (2004). GIS-based probabilistic mapping of landslide hazard using a three-dimensional deterministic model. Natural Hazards, 33(2), 265-282. 16. 王建方,(2014)坡向坡單元劃設及其應用於大規模崩塌潛勢預測研究,臺灣大學土木工程學研究所學位論文,1-130. 17. 何春蓀 (1986),「台灣地質圖概論-台灣地質圖說明書」,經濟部中央地質調查所出版,台北,共164頁。 18. 林美聆、林慶偉、陳天健、王國隆、陳德偉 (2012),光達數值地形應用於大規模崩塌與土石流關係研究,水土保持局委託研究計劃。 19. 林美聆、陳德偉、陳彥澄 (2019),大規模崩塌判釋圈繪方法之建立及驗證,地工技術,No.161,53-61。 20. 林俐玲、林可薇、陳品岡、沈哲緯 (2011),斜坡單元進行山坡地土壤流失量之推估,水土保持學報,第43 卷第4期,第395-410頁。 21. 砂防学会(2012),「深層崩壊に関する基本事項に係わる検討委員会」。 22. 陳德偉 (2021),廬山地區三維地形演化及深層滑動模擬分析研究,國立台灣大學土木工程學博士論文。 23. 國家災害防救科技中心(2015),「大規模崩塌災害防治行動綱領」。台北,台灣:國家災害防救科技中心。 24. 曾耀賢 (2019),蘭台地區之演化與破壞機制分析,國立台灣大學土木工程學研究所碩士論文。 25. 嚴文彬 (2016),應用坡單元預測大規模崩塌,臺灣大學土木工程學研究所學位論文,1-182。
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/86250-
dc.description.abstract本研究以深層滑動災害為主要研究目標,探討深層滑動運動行為趨勢與滑移影響範圍。研究流程是使用ArcGIS軟體,討論不同方法繪設之坡單元較適合描述深層滑動範圍,並將選取適合之坡單元邊界進行人工編修,觀察編修後之單元邊界與研究區內之深層滑動邊界貼合性,並以廬山北坡深層滑動為例,透過多個坡單元瞭解深層滑動之滑動趨勢。再者使用LS-RAPID三維數值模擬程式,對於廬山北坡深層滑動進行模擬,並將上述兩者分析結果進行比對,並將結果再與衛星影像判釋、地形資料等比對,確認結果之正確性。 研究發現使用集水區四坡向坡單元較適合描述深層滑動之邊界,而由於研究區內之地形受人為開發破壞嚴重,地形構造較為破碎,單元邊界需進行人為編修,透過編修後之單元邊界與深層滑動邊界貼合程度佳,使用3至10塊坡單元能表示深層滑動範圍。 廬山北坡深層滑動根據前人(陳德偉,2021)結果分為三個滑動塊體,分別為右側、中央及左側。三維數值模擬分析結果將統計三個滑移塊體之滑動方向,並隨著解算時階設置越短,模擬結果方向與坡面平均坡向統計結果越相近。採用解算時階10秒之結果及坡單元統計塊體滑移方向結果與平均坡向結果相比,除了右側塊體之結果外,其餘兩塊之結果與平均坡向結果誤差5度以內。將三維數值模擬滑移塊體單位位移分佈與影像判釋及數值地形模型相減比較,皆可發現相同位移趨勢範圍分佈與高程變化。zh_TW
dc.description.abstractIn Taiwan, because of the plentiful topography and geology, when the typhoon or earthquake coming, it often accompanies the nature disaster. In the research focused on the deep-seated landslides for study, discussing the moving behaviors and influence area of the deep-seated landslides. Slope units are one of way to describe the boundaries of the deep-seated landslides, and they can be created by many methods. In this research, finding slope-units mapped according to watershed four reclassified aspects fitted the boundaries of deep-seated landslides is the best, but the edges of the units all need to be modified. Using delineated unit compared to the boundaries of the deep-seated landslides, it found they fit well and the use of 3 to 10 slope units can indicate the extent of deep-seated landslides. In order to explore the behaviors and influence area of deep-seated landslides, taking Lushan deep-seated landslide for study. According to the previous study, it separated Lushan deep-seated landslide into three sliding blocks, right side, center and left side, respectively. In the research also use 3D numerical simulation method (LS-RAPID) to discuss the deep-seated landslides. Taking the orientation angle for comparing, the results of 3D numerical simulation, the results of slope units and average slope are very closed within 5 degrees of error expect the right side sliding block. By comparing the 3D numerical simulation of the displacement distribution of the sliding block units with the image interpretation and the numerical terrain model, the same displacement trend range distribution and elevation change can be found.en
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dc.description.tableofcontents目錄 摘要 I Abstract II 目錄 III 圖目錄 VI 表目錄 XII 第一章 緒論 1 1.1 研究動機與目的 1 1.2 論研究方法與內容 1 第二章 文獻回顧 4 2.1 深層滑動定義與特徵 4 2.2 圈繪單元定義與劃設方法 6 2.2.1 網格單元法(Grid cells) 6 2.2.2 斜坡單元法(Slope units) 6 2.3 LS-RAPID三維數值模擬分析 8 2.4 全因子實驗設計法 13 2.5 質點影像速度分析(PIV)方法 15 第三章 研究區域基本資料與歷史災害彙整 17 3.1 研究區域地理位置與概況 17 3.2 研究區基本資料 24 3.3 廬山北坡崩塌事件與深層滑動邊界判釋 25 3.3.1 廬山北坡崩塌事件 25 3.3.2廬山北坡深層滑動邊界判釋 26 3.4 遙測影像質點位移分析 27 第四章 研究區坡單元劃設 30 4.1 集水區劃設 30 4.2 坡向坡單元 36 4.2.1 四坡向坡單元 40 4.2.2 八坡向坡單元 49 4.2.3 四坡向與八坡向單元劃分成果比較 54 4.3 集水區四坡向坡單元 57 4.4 劃設結果比較與選定 61 第五章 坡單元編修方式 71 5.1 不合理單元形狀 71 5.2 集水區四坡向坡單元編修目標 72 5.2.1 水系河道與水庫區域編修 74 5.2.2 非人為開發區編修 84 5.2.3 人為開發區編修 92 5.3 編修整合成果 103 5.3.1 集水區四坡向坡單元編修結果 103 5.3.2 深層滑動圈繪與坡單元比對 106 第六章 廬山北坡深層滑動三維模擬 111 6.1 廬山北坡三維模型建立 111 6.1.1 三維數值模型範圍選定 111 6.1.2 廬山北坡滑動塊體判釋 113 6.1.3 三維數值模型設置與滑動面建立 114 6.2 三維數值模型參數設定與模型計算 118 6.2.1 三維數值模參數介紹 118 6.2.2 三維數值模擬參數測試 118 6.2.3 三維數值模型網格計算流程 124 6.3 廬山北坡三維深層滑動模擬成果 133 6.3.1 廬山北坡三維深層滑動模擬影響範圍分佈結果 133 6.3.2 廬山北坡三維深層滑動模擬位移方向結果 135 6.3.3 廬山北坡三維深層滑動模剖面分析結果 135 第七章 廬山北坡分析成果綜合比對 140 7.1 廬山北坡三維數值模擬結果與影像判釋比對 140 7.2 廬山北坡三維數值模擬高程比對 146 7.2.1廬山北坡三維數值模擬滑動面深度比對 146 7.2.2廬山北坡三維數值模擬結果與數值地形模型移動比對 148 7.3 廬山北坡三維數值模擬位移結果比較 152 第八章 結論與建議 157 8.1 結論 157 8.2 建議 159 參考文獻 160
dc.language.isozh-TW
dc.subject深層滑動zh_TW
dc.subject方位角zh_TW
dc.subjectLS-RAPIDzh_TW
dc.subject坡單元zh_TW
dc.subject滑動趨勢zh_TW
dc.subjectorientation angleen
dc.subjectslope unitsen
dc.subjectdeep-seated landslidesen
dc.subjectLS-RAPIDen
dc.title利用坡單元及數值模擬探討霧社地區之深層滑動zh_TW
dc.titleA Study of Deep-Seated Landslides in Wushe Area Using Slope Units and Numerical Simulationen
dc.typeThesis
dc.date.schoolyear110-2
dc.description.degree碩士
dc.contributor.oralexamcommittee陳天健(Tien-Chie Chen),王國隆(Kuo-Lung WANG),謝有忠(Yu-Chung Hsieh)
dc.subject.keyword深層滑動,滑動趨勢,坡單元,LS-RAPID,方位角,zh_TW
dc.subject.keyworddeep-seated landslides,slope units,LS-RAPID,orientation angle,en
dc.relation.page162
dc.identifier.doi10.6342/NTU202202918
dc.rights.note同意授權(全球公開)
dc.date.accepted2022-08-30
dc.contributor.author-college工學院zh_TW
dc.contributor.author-dept土木工程學研究所zh_TW
dc.date.embargo-lift2022-09-02-
Appears in Collections:土木工程學系

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