A Study on the Estimating of Flood Outflow Hydrograph Model with Genetic Algorithm

• Main Authors: Wang, Ning-Beng, 王寧本
• Other Authors: Chen Chang-Shian
• Format: Others
• Language: zh-TW
• Published: 1996
• Online Access: http://ndltd.ncl.edu.tw/handle/87893630829467083198

碩士 === 逢甲大學 === 土木及水利工程研究所 === 84 === A multi-tributaries Muskingum model is developed based on mass conservation law by including the tributaries and lateral inflow in the basin. Using the inflow, a genetic algorithm is also constructed to process K（tributary storage constant）, X（ weighting factor of tributary inflow） and EMBED Equation （ ratio of lateral flow and inflow） parameter estimation on the model. In practical simulation of flood events on Wu-Chi Creek, taking the Chin-Fon Bridge, the Chi-nan Bridge and the Nan-kang Bridge be the upstream gaging station and the Ta-tu Bridge be the downstream gaging station. The results of calibration and verification shows that the model simulation can be expressed the characteristics of flood propagation. In the meantime, we use the mean first order second moment method to estimate the 95% confidence interval to propose flood propagation reference in the furture.