透過您的圖書館登入
IP:3.145.74.54
  • 學位論文

坡面型土石流潛勢分析與堆積特性

Potential Analysis and Deposition Characteristics of Hillslope Debris Flows

指導教授 : 陳天健

摘要


本文研究坡面型土石流之潛勢分析方法,亦探討其土石流堆積土方量評估公式。採用莫拉克颱風高屏溪流域44處坡面型土石流與44處未發生土石流之坡面資料,萃取出14項特性因子,配合SHALSTAB模式預測模式研究淺層崩塌後,利用區別分析方法進行坡面型土石流發生潛勢分析。區別分析結果以有效集水指標、q/t值面積百分比、集水區面積、土石流發生區面積、集水區平均坡度、土石流發生區平均坡度為預測變數時其正判率最佳,整體正判率為81.8%。特性因子中以淺層崩塌預測模式中,q/t值面積百分比對正判率影響最大,代表若精準的預測坡面崩塌之潛勢更有助於判別坡面型土石流之發生。本研究進一步擬訂潛勢分級準則,將坡面型土石流分為低中高潛勢。 其次針對坡面性土石流堆積土方量,本研究擬定出兩項評估公式,一者為評估受極端氣候影響豪雨觸發之坡面型土石流堆積土方量公式為V=107812A0.75;其次為評估大地震後短期內坡面型土石流之堆積土方量公式為V=5409A0.44。另坡面型土石流堆積長度方面,於輕度變質岩地區,可參酌採用VD=40.61A0.166 ,進行堆積長度評估之用。

並列摘要


This study proposals a potential analysis model for the hillslope debris flow. 44 hillslope debris flows and 44 non-debris flow in Kao-ping River induced by Typhoon Morakot are employed in the analysis model. 14 factor were selected, included the index of landslide area ratio that predicted by SHLASTAB model. The result of the discriminant analysis shows the classification rate reached 81.8% in which the catchment indicators, watershed area, area percentage of prediction landslide, effective watershed area, watershed average slope, and effective watershed average slope are the most effective indexes to the analysis. The area percentage of prediction landslide is the maximum impact factor in all of factors meaning that a good prediction to the landslide potential does increase the prediction of hillslope debris flow. The potential model is proposal as well which also classified the hillslope debris flow into low, medium, and high potential. Last, this thesis proposal the evaluation model on deposition volume. Two evaluation formulas are composed from the deposition volume data form field in two circumstances, the extreme weather heavy rain and strong earthquake conditions. First, the formula V=107812A0.75 is proposal on the extreme weather heavy rain case. Nest formula V=5409A0.44 is used for the case of the deposition volume of hillslope debris flow after strong earthquake shortly. Furthermore, the deposition length for a hillslope debris flow is proposed as VL=40.61V0.166.

參考文獻


1. 王束銘,2007,土石流溪流坡度指標研究,碩士論文,國立屏東科技大學,水土保持研究所,屏東。
6. 方世榮,2007,統計學導論(修訂五版),華泰文化事業股份有限公司,台北。
36. 莊漢鑫,2012,考慮空間與雨量變異之土石流影響因子潛勢分析,碩士論文,國立臺灣大學,土木工程學研究所,臺北。
4. 王隆昌,2005,溪頭地區坡地型土石流地形及發生特性研究,碩士論文,國立成功大學,地球科學研究所,臺南。
5. 王振宇,2012,坡面型土石流判勢準則與地形演化作用,碩士論文,國立屏東科技大學,水土保持研究所,屏東。

被引用紀錄


邱惠靖(2015)。集水區內流體化崩塌邊坡之評估模式研究〔碩士論文,國立屏東科技大學〕。華藝線上圖書館。https://doi.org/10.6346/NPUST.2015.00268
楊婉君(2014)。坡面型土石流潛勢分析模式〔碩士論文,國立屏東科技大學〕。華藝線上圖書館。https://doi.org/10.6346/NPUST.2014.00258
張佳穎(2016)。跨國企業文化層面對併購績效影響探討〔碩士論文,國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU201600567
張惠婷(2007)。購併對企業綜效、績效及影響因素之探討-以電信產業為例〔碩士論文,國立屏東科技大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0042-0707200914550954
黃琦文(2008)。併購事件宣告前對目標公司股價與盈餘管理之影響〔碩士論文,元智大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0009-2706200801190100

延伸閱讀