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  • 學位論文

基隆河流域洪流時序分析模式

Time Series Analysis and Forecast of Flood Discharge in Keelung River Basin

指導教授 : 鄧志浩
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摘要


本研究主要是利用序率水文時間序列模式探討基隆河流域在洪峰暴雨之流況下,使用自迴歸移動平均模式(ARMA)及多元變量模式(ARMAX),並針對基隆河流大直橋水位站及其上游松山、五堵兩測站之水位進行分析與比較。結果顯示加入上游測站之多元變量模式,其大直橋水位站水位預測結果顯然比單一測站ARMA模式更具準確性;而在預測應用上仍以轉換函數噪音模式表現結果較好。故從預報能力而言,本文所建立之多元變量模式對預測結果明顯的有較佳的趨勢掌握,且其具實用上之高階預測能力。

關鍵字

ARMAX ARMA

並列摘要


This research presents the time series analysis on the Keelung river basin. univariate ARMA model and multivariate ARMAX model were applied for the analysis and forecast of the river level in Dar-Ji bridge. Two upstream additional gauging stations at Wu-Du bridge and Song-San bridge were added for the study of the ARMAX model. The simulation results show that the analysis and the multi-steps ahead forecasting of Dar-Ji bridge by the ARMAX model is much better than the ARMA model.

並列關鍵字

ARMAX ARMA

參考文獻


21. Box, G. E. P. and Jenking, G. M., “Time Series Analysis Forecasting and Control”, Revised Ed, San Francisco: Holden Day,(1976).
22. Ronald, E. Walpole and Raymond, H. Myers, “Probability and Statistics for Engineers and Scientists”,Macmillan Publishing Company,(1993).
23. Salas, J. D., Delleur, J. W., Yevjevich, V. and Lane,W. L., “Applied Modeling of Hydrologic Time Series”,Water Resources Publications,(1985).
1. 郭振泰、楊德良、萬象、黃錦祥,「淡水河流域水庫通用模擬模式及優選操作模式之發展與應用」,經濟部水資源統一規劃委員會,75-八(二)3(10)-08第36號,(1976)
2. 「台灣地區河系沖淤模式之發展與應用(一)-以淡水河系大漢溪為應用對象」,經濟部水資源局統一規劃委員會,79水科技八(二)2(2)-01第070號,(1990)。

被引用紀錄


萬本立(2012)。驟雨衝擊效應之流量即時預報〔碩士論文,國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU.2012.00046

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