基隆河上游集水區含員山子分洪道之出水口水位預報模式

Forecasting Outlet Water Level with Yuansantze Flood Diversion Tunnel for Keelung River Upstream Watershed

邱啟平(Chi-Ping Chiou)

指導教授 ： 蔡丁貴

國立臺灣大學/工學院/土木工程學研究所/碩士(2009年)

https://doi.org/10.6342/NTU.2009.01613

摘要

由於基隆河上游興建員山子分洪道設施，將颱風或豪大雨造成的洪水進行部分疏導，使得原有的水位預報模式(吳等，2004)計算大華橋水位站有高估水位的現象。本研究目的，在於考量員山子分洪量等因素並修正模式，使大華橋水位能夠更精準的預報，其預報結果可提供下游洪水預警，爭取沿岸居民疏散時間。模式主要考慮分洪量、河川水位之變動與其臨前狀態之序率關係，同時加入可能影響水位變動之因素：集水區之降雨量。本文假設河川水位在某一個時刻，為其所有影響因子的線性組合，使用最小平方法，從歷史颱風或豪大雨事件之水文記錄中率定出一條具有迴歸關係特性的預報函數式，其函數式再經由模擬退火法修正。當豪大雨事件發佈時，蒐集其集水區內各站之降雨量、員山子水位等等資訊，利用此一時序性的序率遞迴關係函數式即可預報該水位站一段時間之水位變化。本模式應用柯羅莎(Krosa)、薔蜜(Jangmi)等颱風預報大華橋水位之變化，皆獲得良好之驗證。

關鍵字

序率 ； 最小平方法 ； 模擬退火法 ； 水位預報

並列摘要

Yuansantze Flood Diversion Tunnel is located at the upstream of Keelung River. The Tunnel diverts part of flood from upstream basin discharge during typhoon periods. It results in over-estimation of forecasted water levels at the Dahua Bridge station (Wu. et al., 2004). This paper takes into accounts of flood diversion to extend capability of previous forecast model. The accurately predicted results at the Dahua Bridge Station can provide with better forecasting of downstream flood water levels. This improvement will allow inhabitants residing along river to be evacuated timely. Stochastic relation includes flood diversion, present and the antecedent records at the river gage, and rainfalls are primarily concerned in the model. This paper assumes that water stage at the outlet of watershed at any time is linear combination of all the affecting factors. Based on historical data during typhoons events, a recursive relationship is developed by employing the least squares method and simulated annealing algorithms. With the recursive relationship formula, water levels at the Dahua Bridge Station can be predicted more accurately. Present model is applied to predict water levels at the Dahua Bridge Station for the Typhoon events of Krosa and Jangmi. Good agreement between forecasted and measured results is observed.

並列關鍵字

Water level forecast ； Stochastic ； Least squares method ； Simulated annealing algorithms

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