确定糙率参数是河网水流数值模拟的关键问题。该文基于与河网水动力学模型耦合的遗传算法建立了河网糙率参数优化反演模型,并应用于韩江三角洲河网的糙率参数反演中。结果表明,遗传算法在河网糙率参数的反演中是可行的,且具有精度高、收敛快和易于计算机实现的优点,有效地克服了试错法和传统优化反演方法的缺陷。
Determination of roughness parameters is a key problem in hydrodynamics numerical simulation for river networks. Based on the global optimization technique of genetic algorithm which is coupled with hydrodynamic model for river networks, an optimized inverse model used to estimate Manning s roughness parameters of river networks was developed, and the model was applied to inverse the roughness parameters of river networks in Hanjiang Delta. The results show that the method is not only applicable, but also h...