| Summary: | 碩士 === 國立臺灣大學 === 生物環境系統工程學研究所 === 96 === In order to develop a more precise strategy and a visional interface for the management of reservoir during typhoon or heavy rainfall events, this study provides a simulated control model and two real-time control models for reservoir operation. The flood release process has been designed in simulation control model to simulate the feasible operations of every reservoir facility according to the best result of Genetic Algorithms(GA) obtained from a previous study. Besides, performances from different level of open-gap in the release gate are verified. The results indicate that the simulated outcomes are fairly good and both total amount of outflow and the water demand are similar as those searched by GA. This study provides two real-time control models; the first one is merely derived from target water levels, and no complex algorithms; the second real-time control model uses the results simulated by GA as training patterns for Back Propagation Network(BPN)to estimate water release at next hour. Results from first model show the water level can rapidly reach the designed target but performance on the reduction of flood peak rate is not good enough. Whereas, results gained from BPN model not only produce better reduction of flood peak rate but also reach the target at the end of the flood. Moreover, both uncertainty and smoothly existed in original reservoir operation can be effectively improved through BPN model. In addition, a new generation of three-dimensional standard format X3D(Extensible 3D, X3D)is applied herein to display the on-line operating results. X3D can efficiently achieve the goal of data communication and integration in hydroinformatic system. Furthermore, the variation of data structure and the impact of operational strategy can be easily received and understood by decision maker in visional way. It is a tendency to combine hydrological analysis and information design on the Web.
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