基于模拟退火算法的河道糙率反演

河道糙率是河道水动力模型中的重要参数,其取值直接影响计算结果的精度。将模拟退火算法(SA)引入到河道糙率反演中,建立了糙率优化反演模型,通过概化河网对模型的优化性能进行验证,结果表明该模型不依赖于初值选取,具有良好的全局优化特性。应用该模型反演黄河干流兰州段糙率,取得了较好效果。研究成果可为河道糙率反演计算提供参考。

Inversion of River Roughness Based on Simulated Annealing Algorithm

River roughness is a key parameter in hydrodynamics model, which directly affects the accuracy of calculation results. Based on the simulated annealing algorithm, this paper proposed a roughness inversion optimization model, and verified the optimal performance through a generalized river network. The results show that this model is independent of the initial values and has good global optimization characteristics. This model was applied to the roughness inversion of the Yellow River in Lanzhou and good results were obtained. The research results in this paper can provide reference for the inversion optimization of roughness.