| Summary: | 碩士 === 國立宜蘭大學 === 土木工程學系碩士班 === 103 === In Taiwan, the methods currently used for flooding area estimation are mainly based on the after-survey of the flood mark. These methods can not reflect the real-time situation of the flooding area, and hence can’t able to provide immediate information for damage control. In this study, we set up automatic water stage monitoring system at the Mei-Fu region where is selected as the target area of the project due to frequent flood history of this area. We set many model and used the ANFIS(Adaptive Network-Based Fuzzy Inference System) to training the rainfall data of the flood events and the data from water stage, then establish the relationship between rainfall and flooding depth. Used the Coefficient of Efficiency(CE), Peak Error(PE) and Time Shift Error(TSE), maximum reached time of water level to verify the results. To find the best result model. The results indicated that the proposed model can reasonably simulate change trend of water level.
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