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摘要


本文主旨乃針對降雨及河川流量之時間分佈,應用前人研究所得之分析方法,進行水文混沌現象之探討。本研究所應用之程式經Rössler吸子測試之後,應用於石門水庫石門站歷年之小時雨量資料及頭前溪流域上坪站日流量資料,其分析結果分別為K_2,熵值0.062±0.001、0.008±0.001以及李亞普諾夫指數0.38±0.01、0.025 ± 0.005。研究結果顯示,石門站之歷年小時降雨系統具有一碎形維度為1.34之奇異吸子,而上坪站之河川流量系統則具有一碎形維度為3.46之吸子。且由兩者之李亞普諾夫指數均為正,判定其具有混沌之特性,但降雨系統較河川流量系統混亂且不可預測。

並列摘要


The present study is to define the chaotic phenomena of rainfall and run-off by some analytic methods. For this purpose, the rainfall of Shi-Meng watershed and the discharge of Ton-Chien River have been researched using programs that were verified by Rössler attractor, The results show that the rainfall and discharge have the fractal dimension 1.34, 3.46; K_2 entropy 0.062±0.001, 0.008±0.001; Lyapunov exponent 0.38±0.01, 0.025 ± 0.005, respectively. The following conclusions are drawn from this study: (1) The hydrologic cycle is still in chaotic region but very near in order. (2) The rainfall is more chaotic than discharge.

被引用紀錄


洪啟峰(2004)。混合車流下汽機車車流參數預測模式之研究-渾沌類神經方法之應用〔碩士論文,國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU.2004.00449

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