2017-02-132024-05-15https://scholars.lib.ntu.edu.tw/handle/123456789/663180摘要：考慮極端降雨下都市淹水模擬需求，本計畫以三種不同的觀點，進行極端降雨下都市淹水模擬所需工具的開發。首先，針對不同的淹水問題，淹水模擬的關鍵考量也會不同。如降雨情境不同，下水道系統扮演的角色亦有所不同，在設計降雨強度下，下水道系統通常具有貯留及滯洪等功能，但在極端降雨情境下，下水道系統常常只剩下貯留的功能。以淹水模擬的觀點來看，即是不同的情境，有可能需要選用不同的淹水模式來進行淹水模擬，以掌握該淹水事件的主要機制，以得到具有參考價值之淹水模擬結果。因此，針對不同的淹水模式，需要發展具有彈性處理都市地形能力的工具，讓使用者能自由挑選不同程度平滑化處理後之都市地形以進行相關應用，避免直接使用原始地形會造成水動力模式計算容易不穩定和過度修飾地形之情況，或者用以適度簡化細部地形，節省計算資源及增進效率。 接著，若欲進行較真實之都市地形前提下的淹水模擬，則穩定之淹水模式是必要的。由於流體動力學模型動量守恆方程式中的非線性項容易因地形劇烈變化而時常發散，因此造成淹水模擬常常使用過度平滑化之地形進行分析，導致結果或有疑慮。而現今由於都市排水系統漸趨完善，都市淹水僅發生於極端降雨情境下，在此情境下，下水道系統分擔有限，降雨造成的地面淹水模擬為主要議題，降雨體積的考量，以及地面水流動的穩定模擬皆是問題關鍵。故本計畫中，第二個目標為極端降雨都市淹水模式之開發，期望在特定情境下，能提供穩定之淹水模式。 最後，由於人口成長，都市發展成熟，土地價值上升，造成建造新的淹水控管設施成本高昂。因此，本計畫中，針對極端降雨下都市淹水問題，進行逕流及抽水站的規劃布設，期望在不需要大量工程經費的前提下，對都市局部淹水能有效改善，開發抽水站佈設規劃最佳化評估工具為本計畫的第三個目標。 <br> Abstract: Considering the demand of inundation model to urban flooding, the project develop the model in three aspects. First of all, there have different key points in different flooding cases. Take sewer systems for example. It usually have function of storage and detention under the estimated rainfall intensity, but detention would lose efficiency in extreme precipitation. In the view of flooding modeling, we should choose different models for flooding events to realize the main mechanism and require the valuable result. Hence, for different models, developing the smoothing algorithm for topography for users to select the suitable one is needed. It can avoid using the initial form that will cause unstable and over modified or improve the efficiency by simplifying the details. Moreover, stable inundation model is necessary for simulation in real urban topography. The models usually utilize over smoothed topography due to the non-linear term in momentum equation which would result in divergence. Nowadays, urban flooding will occur only in extreme precipitation because of improved urban drainage, but the function of sewer systems is limited. Precipitation volume and stability are key points for flood inundation modeling. Thus, the second goal is to develop the stable extreme precipitation inundation model. Last, the management cost is increasing owing to population growth, urban development and land value rising. Therefore, in this study, we propose the optimization of water pumping station location and look forward to improving the inundation in some places without lots of funding.二維總體經驗模態分組法地形平滑化處理淹水模擬瀦蓄核胞模式多流向演算法最佳化Bi-dimensional ensemble empirical mode decompositionTopography smoothingFlooding inundation simulationStorage cell approachMultiple flow direction algorithmOptimization