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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/47938


    Title: 臺灣地區液化潛能製圖;Mapping Liquefaction Potential in Taiwan
    Authors: 謝昇航;Sheng-Hang Hsieh
    Contributors: 應用地質研究所
    Keywords: 土壤液化;製圖;地質統計;迴歸克利金;regression kriging;geostatistics;liquefaction;mapping
    Date: 2011-08-08
    Issue Date: 2012-01-05 14:13:12 (UTC+8)
    Abstract: 台灣位於環太平洋地震帶,地震活動極為頻繁,地震伴隨著土壤液化可引致房屋倒塌、傾斜、下陷、側移等災害。本研究以GEO2005工程地質探勘資料庫的鑽孔、強震站工程地質鑽孔及水利署地下水觀測井分析台灣坡度6%以下平原區域之液化潛能。藉由所蒐集的鑽孔資料針對臺灣地區擬定一套分析流程及鑽孔篩選標準,使用發展成熟及廣泛應用的Seed簡易經驗法搭配土壤參數(SPT-N值、地下水位、細料含量等)及地震參數(地震規模、尖峰地動加速度等)進行液化潛能評估。 基於平原地區的地下水位面應為平滑曲面,為消除測量時間不同所造成的差異,本研究以趨勢面處理地下水位分佈。獲得平原地區合理的地下水位面分佈外,缺乏地下水位資料的鑽孔也得以加入研究分析。液化潛能分析結果採用Iwasaki深度加權法計算液化潛勢指數。製圖時採用地形坡度作為內插的輔助因子,利用迴歸克力金法內插出合理的液化潛能分佈,最後完成台灣地區液化潛能分佈圖。 Taiwan is located at the circum-Pacific seismic belt where a large number of earthquakes occur. Soil liquefaction is a kind of earthquake hazard, causing structural damages. In this study, we collect borehole data from GEO2005 database, drilling at strong-motion stations, and water wells from the Water Resources Agency. We build a framework for procedures and analyses, and set up criterion to extract high quality data. Seed simplified method was used for analyzing a safety factor at a given depth of a borehole using soil parameters (SPT-N, fine content, etc) and seismic parameters (magnitude, PGA). Our study area is limited to the area where ground slope is less than 6%. It is expected that groundwater table in plain area is smooth over a region. However, the groundwater measurements were taken at different days for different holes, and present an unexpected irregular surface. We used trend surface analysis to fit a smooth surface for the groundwater table at a given region. This procedure also serves as an interpolation method for a bore hole where groundwater data is not available. Liquefaction potential at a point is calculated based on the Iwasaki method for a liquefaction potential index. Surface slope gradient is used as an auxiliary variable in regression Kriging to interpolate a reliable liquefaction potential index at any given point. Finally, a liquefaction potential map is constructed.
    Appears in Collections:[Graduate Institute of Applied Geology] Electronic Thesis & Dissertation

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