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題名 | 區域性河川流量資料合成方法之研討 |
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作者 | 葉一隆; 蘇明道; | 書刊名 | 國立屏東技術學院學報 |
卷期 | 4 1995.06[民84.06] |
頁次 | 頁219-234 |
分類號 | 351.81 |
關鍵詞 | 水文系統; 流量資料合成; Hydrosystems; Flow synthesis; |
語文 | 中文(Chinese) |
中文摘要 | 以統計的方法利用歷年之河川流量以合成大量之流量資料是做集水區水文模擬, 查核水庫設計庫容,或檢驗水庫操作法則等之重要資料。由於區域性之水文資源整體考量已 是以後必然之趨勢,如果對區域內各河川分別做流量合成,則可能會有一條河川產生大流量 而緊臨的另一條河川卻流量很小的情形,這和小區域內常具有的水文均勻性相矛盾。因此對 區域內多條河川之流量之合成應將區域內水文之相關性考慮在內方為合理。本研究中提出建 立一種以多變數分佈為基礎的區域河川流量合成模式,使產生之合成流量能同時保存該個別 河川之流量分佈特性,及區域性之水文相關,以供區域性水文及水資源研究之需。文以高屏 溪上游三個小集水區為對象進行研究,三個水文測站分別為新發大橋,大津,及三地門。首 先利用三站流量記錄之相關變異性建立一多變數常態分佈之流量合成模式,由該模式合成之 流量資料與由傳統方式對各別河川進行流量合成之結果相比較,證實其確實能保留各河川間 之共變性,而不致使相臨河川之合成流量有和歷年記錄不合理之情況產生。 |
英文摘要 | The flow synthesis using statistical methods is an important basis to the study of hydrosystems. Problems such as reservoir sizing, operating rule derivation of a hydrosytem, need flow data synthesized from statistical analysis to make up the shortage of flow records. They are also needed to examine the design system or derived operating rule. Regional development of water resources sometimes involves the study of more than one stream in the region. If the flow synthesis is done for each single stream individually, the generated flow data may sometimes be high in one stream while the adjacent one has very low flow. This is not realistic because the area may have hydrological similarity, especially when the region being studied is not very large in area. it is more practical that the flow synthesis process is done for all the streams in the region simultaneously and try to preserve the hydrological relationship among the streams. This study proposed a flow synthesis algorithm using multi-variate distribution. The covariance among the streams flow data in a region is preserved and is used for flow synthesis using a multi-variate normal distribution. Three small watershed in Kao-Ping River are used in this study. The flow data generated from the proposed model are compared with flow data generated using single variate distribution for each stream individually. the result shows that this multivariate algorithm do preserve the similarity of the flow among the streams and the data generated are a better representative of the regional hydrological characteristics. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。