Lihua Feng

Bio: Lihua Feng is an academic researcher from Zhejiang Normal University. The author has contributed to research in topics: Stage (hydrology) & Membership function. The author has co-authored 1 publications.

The Practical Application of Fuzzy Information Analysis in Flood Forecasting

Abstract: The relationship between the peak stage and peak discharge is influenced by many factors in the flood system. Therefore, different peak discharges may occur under the same peak stage, while the same peak discharge may also occur under the different peak stages. If the peak stage set with similar peak discharges is taken as the fuzzy subset in the stage universe, then the membership function of these fuzzy subsets can be hypothesized to manifest a normal distribution graph. According to a k and b k , the mid-value of the universe element of the peak stage can be substituted into the normal distribution graph, and the fuzzy relational matrix can be obtained. Thus, the peak discharge can be calculated according to the peak stage using the fuzzy deduction theory. The relationship between the peak stage and peak discharge as Q = f(H) has an important impact on the determination of the peak discharge during the high-water level period in the flood forecast. In this paper, the fuzzy information analysis method is used to forecast the peak discharge, with the result in accordance with the actual event. This method can be seen as a new and effective method of flood prediction and forecasting.