郭振泰2006-07-252018-07-092006-07-252018-07-091998http://ntur.lib.ntu.edu.tw//handle/246246/2664本研究首先應用了微分動態規劃的方法，解 決了時變性的非線性的優養控制的優選問題。並 以翡翠水庫為案例研究，研究結果顯示此優選方 法於解決動態的水庫優養控制問題之可行性。 模式之目標式為最小的所需污染整治規模， 水質模式的條件為等號限制條件，加上物理上的 不等號限制。本研究採用零維水質模式[1]，考慮 六項水質參數，生化反應式為非線性並考慮時變 性因素，模式為動態的、非穩態，優選結果可求 得污染源所需之處理效率，以使得湖泊內之葉綠 素-a 濃度可以在某種水準以下。因模式為時變 性，故求得的控制方案為時間的函數，因此可隨 時間變化做經濟而有效的調整。This research first applied DDP, Dynamic Differential Programming method, to solve the problem of time-variant, nonlinear optimization for reservoir eutrophication control. The Feitsui Reservoir is the case for the research and the result indicates the feasibility of solving the dynamics of reservoir eutrophication optimal control problems. The objective of the model is to minimize the required treatment of pollutants. The conditions of the water quality model are the equality constraints and in addition there is the nonequality physical restriction. This research adopted zero-dimensional water quality model [1] and six water quality variables has been taken into consideration. The bio-chemical reaction is nonlinear; considering the time-variant factor, the model is dynamic and unsteady. The required treatment efficiency of pollution source can then be derived from the result of optimization. This enables the concentration of chlorophyll-a in the lake to be under a certain level. As the model is time-variant, the control variable obtained is a function of time. Therefore the control policy can be effectively adjusted according to the change of time.application/pdf106749 bytesapplication/pdfzh-TW國立臺灣大學土木工程學系暨研究所優選模式微分動態規劃翡翠水庫水質模式優養控制optimization modeldynamic differential programmingFeitsui Reservoirwater quality modeleutrophication control[SDGs]SDG14reporthttp://ntur.lib.ntu.edu.tw/bitstream/246246/2664/1/872211E002053.pdf