| Summary: | 碩士 === 中原大學 === 土木工程研究所 === 91 === Abstract
There is a very strong relationship between the occurrence of maximum flood discharge and the maximum rainfall. In this study, was calculated based the maximum probable rainfall, the raintype design and Artifical Neural Network (ANN)were applied to calculate the maximum of flood discharge in the basin.
First of all, ANN was used to estimate the discharge in Shihmen basin during the typhoon period. A four layer ANN, which included an input layer, two hidden layers and one output layer for the Back Propagation Network (BPN), was built to predict the discharge in Shihmen basin. The hourly rain datum of rain_stations were used as the input data, and the hourly discharge of Shihmen reservoir as the output data. The weights of rain-runoff system were adjusted by using BPN in order to estimate the time of flood peak and quantity of discharge.
Next, the rainfall data and raintype was used to design the probable maximum precipitation of Shihmen basin, calculated by Water Conservancy Agency. Finally the rain-runoff system of Shihmen basin, the probable maximum input discharge of Shihmen reservoir in each duration was estimated.
It is hope that the result of this study can be taken as the operation rules of Shihmen reservoir.
|
|---|
