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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/35988

    Title: 模糊控制模式於颱洪時期水庫即時操作之研究
    Other Titles: Real-time reservoir flood operation using fuzzy control models
    Authors: 許弘政;Hsu, Hung-cheng
    Contributors: 淡江大學水資源及環境工程學系碩士班
    張麗秋;Chang, Li-chiu
    Keywords: 水庫颱洪操作;調適性網路模糊推論系統;聚類分析;即時操作;溢洪道閘門;Reservoir Flood Control;Adaptive Network-Based Fuzzy Inference System;Clustering Analysis;Real-Time Operation;Spillway Gate
    Date: 2008
    Issue Date: 2010-01-11 07:25:46 (UTC+8)
    Abstract: 台灣地區豐枯季節差異大,降雨多半集中在颱風季節,且因地形崎嶇山高地狹,河短流急無法有效地存蓄雨水,為達到消減洪災及蓄水目的,水庫操作即扮演著關鍵的角色。水庫防洪操作過程為一錯綜複雜的問題,必須掌握水庫上游的即時雨量及水文資訊,加上人類仔細的研判及豐富的操作經驗,方能達到較理想的操作,但操作經驗的傳承卻為一難題。因此,本研究分別根據水庫防洪運轉規則及最佳防洪操作策略建立智慧型水庫防洪操作模式,期能降低下游地區的洪峰量、延長洪峰稽延時間,並在洪峰發生後則調節水庫水位標高以達規線上限位置、確保蓄水功用,以為颱洪期間提供理想防洪操作模式。
    In Taiwan, the subtropical climate brings rainfall concentrated in the typhoon and plum rain periods from May through October, and the steep mountainous landform makes most of the rainfall flow immediately into the ocean; thus, the rain cannot be directly used as a stable source of water supply. In order to decrease the flood peak stage downstream and store floodwaters for future usage during typhoon seasons, a reservoir flood operation plays a critical role. Real-time reservoir flood operation is a continuous and instant decision-making process based on relevant operating rules, policy and water laws, in addition the immediate rainfall and the hydrology information; however, it is difficult to learn the intelligent experience from the elder operators. The main purpose of this study is to establish the automatic reservoir flood control model to achieve the goal of a reservoir operation during flood periods.
    In this study, we propose two kinds of flood control models of the Shimen reservoir. These models include two major processes: the knowledge acquired and implemented, and the fuzzy inference system. Model 1 is the flood operation rule fuzzy control model (FORFCM), which is constructed by extracting fuzzy rules from the spillway gate operation relations curves. Model 2 is the Intelligent Flood Operation Fuzzy Control Model (IFOFCM), which is built by extracting fuzzy rules from the rational hydrograph obtained by Genetic Algorithm (GA). Both models comply with the Shimen reservoir''s operating rules and regulations. The results demonstrate that both fuzzy control models can perform much better than the original reservoir operator in 26 flood events and effectively achieve decreasing peak flood stage downstream and storing floodwaters for future usage.
    Appears in Collections:[水資源及環境工程學系暨研究所] 學位論文

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