近年來由於全球暖化、氣候變遷的因素,極端降雨的事件有漸增之趨勢,極端的降雨常常造成地表上的破壞,例如:崩塌、地滑、土石流等地質災害。本研究目的在於求取土壤水分特性曲線之飽和體積含水量、殘餘體積含水量、進氣潛能因子、孔徑指數、土壤孔隙分佈參數等參數之初始值,帶入TRIGRS程式中,並探討降雨入滲對邊坡之影響。 其研究結果顯示,利用GOSA軟體進行擬合可得TRIGRS分析模式所需土壤特性曲線之參數,並可界定其範圍值。坡度於25°、30°、35°及40°時,FS =1時達破壞之土層最大厚度,得到崩積土之地表至地下水位之關係建立出一可評判破壞之依據。不同初始條件之土壤在相同坡度及雨量下入滲邊坡情形也不同,細顆粒較多及凝聚力較大之土壤較不容易破壞。
Ground failures, such as road collapsing, landslide, and debris flow, due to extreme weather conditions, i.e. heavy rainfall, have occurred very often due to global warming and climate change during recent years. The objective of the study is to synthesize the characteristics curves of soils, especially colluvium, and the factors, volumetric water content, residual volumetric water content, potential intake factor, pore size index, soil pore size distribution parameters, related to the curve for van Genuchten (VG) model and Gardner model. These factors will be used by TRIGRS program to understand the effect of rainfall infiltration to the slope stability. The fitting software, GOSA, is used to fit the characteristics curves of eight different soils to obtain the input factors for analysis using TRIGRS. For the slope angle at 25, 30, 35 and 40 degrees, the depth to failure and groundwater table can be calculated for factor of safety equal to one for colluvium. Different initial conditions of the soil at the same slope angle and rainfall will induce different infiltration curve. The slope is appeared to be more stable for soils with larger fines content or higher cohesion,