三角洲常出現於水庫之中，佔據了部分的蓄水空間，其長期之形貌演化對於水庫之庫容量有決定性之影響。在過去的一維三角洲形貌動力學中，以實驗及理論去探討入流密度、水砂比及底床坡度的影響已相當完善。但是針對水位升降結合入流密度對於三角洲之形貌動力學卻相對較少。本研究以一維之物理模型實驗及數值模式探討4種不同系列共16種情境組合。
在實驗的過程中利用間時攝影(time-lapse photograph)以每五秒拍攝一張來觀察當下的三角洲發展形貌，並透過數位影像處理來取得三角洲底床高程資料及移動邊界隨時間的移動軌跡。藉由實驗來取得結果來證實在相同條件下的數值模擬中是否可以完整模擬中實驗形貌以及移動軌跡曲線是否符合發展趨勢。在數值模擬的部分，本論文採用Lai and Capart (2008)之擴散模式，並加以修正可以描述不同水位既入流密度之影響。
研究成果顯示，數值模式能抓到三角洲形貌及Shoreline的實驗發展趨勢。但是目前的數值模式無法完整抓到更複雜的侵蝕與堆積過程。不過，此數值模式對於不同升降水位及入流密度之三角洲形貌演化還是具有高度的潛力與應用價值。

Deltas often appear in reservoirs, occupying part of the water storage space, and their long-term morphological evolution has a decisive impact on the reservoir capacity. In the past one-dimensional delta topography dynamics, it has been quite perfect to explore the effects of inflow density, water-sand ratio and bed slope by experiment and theory. However, the topographic dynamics of the delta for the combination of water level rise and fall is relatively less. This study uses one-dimensional physical model experiments and numerical models to explore 16 scenarios in 4 different series.
After comparing the experiment and numerical simulation, the main parameters required in the model can be determined. Although the current numerical model cannot fully capture the complex erosion and accumulation process, this numerical model still has high potential and application value for the evolution of delta topography with different rising and falling water levels and inflow densities.

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