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題名 | 以基因演算法優選流量單位歷線=Optimizing Unit Hydrograph with Genetic Algorithms |
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作者 | 洪益發; 梁昇; | 書刊名 | 水土保持學報 |
卷期 | 35:4 2003.12[民92.12] |
頁次 | 頁395-411 |
分類號 | 351.819 |
關鍵詞 | 流量單位歷線; 基因演算法; 優選; 大安溪; Unit hydrograph; Genetic algorithms; Optimization; Ta-An river; |
語文 | 中文(Chinese) |
中文摘要 | 集水區降雨量及逕流量之關係,一直是水文分析重要的一環。因為降雨量的觀測較逕流量容易且準確,吾人可由降雨量的數據間接模擬(simulation)逕流量的大小。降雨量及逕流量關係的率定分析方法有很多種,例如單位歷線法(unit hydrograph)、水筒模式法(tank model)、貯蓄函數法(storage function)及HEC-1模式法等。其中單位歷線法是最古老的方法,以往單位歷線法大多以矩陣(matrix)求解,本研究採用基因演算法(genetic algorithms)。基因演算法是優選(optimization)求解法的一種,其緣於遺傳基因之進化(evolution)理論。遺傳基因可經由複製(replacement)、交換(crossover)及突變(mutation)等進化過程而達到汰弱留強之優選結果。本研究以臺灣中部地區大安溪流域為研究案例,由該流域雪嶺雨量站及象鼻水位站的兩場颱風期間觀測數據,以基因演算法優選流量單位歷線。依本研究結果顯示,基因演算法應用於集水區流量單位歷線之優選,確為可行且值得繼續研究。 |
英文摘要 | The relationships between rainfall and runoff within a catchment is an important part of hydrology. Because the observation of rainfall is more easy and accurate than runoff, it could simulate the amount of runoff by rainfall data. There are several methods used for deriving the relationships between runoff and rainfall, including unit hydrograph, tank model, storage function, and HEC-1 model, etc. Unit hydrograph is the oldest one of methods, usually solved by matrix before. Genetic algorithms, one of optimizing methods, applied in this paper, is finished by evolution process including replacement, crossover, and mutation steps. This study takes an example of Ta-An river in central Taiwan area. Data from a rainfall station Syue-Ling and a river stage station Siang-Bi, were used to optimize unit hydrograph with genetic algorithms for the Siang-Bi station. The outputs of this study reveal that it is referable to optimize unit hydrograph with genetic algorithms. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。