CALIBRATION OF THE CONCEPTUAL RAINFALL-RUN OFF MODELS PARAMETERS

摘要：

This paper uses genetic algorithm (GA) to calibrate the parameters of the rainfall-runoff model in hydrological forecast, and it proposes an improved genetic algorithm to solve the disadvantage of the standard genetic algorithms inaccuracy of coding and low-precision. The improved genetic algorithm gets better results in calibration of the three-source XinAnJiang model. Contraposing the shortage of traditional single objective optimization, this paper uses amendatory objective function parameters optimization. By the comparison and analysis of traditional single objective parameters optimization, the amendatory objective function parameters optimization can take into account the balance between the various elements of constraint relations in hydrological forecast, so that it can simulate hydrological flow process better and can fulfill the different requirements of the social activities.

关键词： rainfall-runoffmodel calibration of parameters genetic algorithm

作者: Shuiyan Li Rongzhi Qi Weiwei Jia

作者单位: Department of Sciences, Hohai University, Nanjing, China Department of Computer and Information Engineering, Hohai University, Nanjing, China

会议类型: 国际会议

会议名称: 第16届亚太地区国际水利学大会暨第3届水工水力学国际研讨会(16th IAHR-APD Congress and 3rd Symoposium of IAHR-ISHS)

会议地点: 南京

会议语种:英文

页码: 55-59

在线出版日期: 2008-10-20（万方平台首次上网日期，不代表论文的发表时间）