将遗传算法智能优化模型与一维河网模型相耦合,提出一种河网糙率智能反演方法,自动完成参数的优化选择。与其他河网糙率优化方法相比,该方法具有理论简单、对实测数据依赖程度低和精度高的特点。将该方法获得的优化糙率值代入到数学模型中,计算值与实测值吻合程度较高。
The genetic algorithm intelligent model was coupled with a one-dimensional fiver network model. The intelligent inversion method for quantifying river network roughness, which can automatically accomplish optimal selection for parameters, is put forward. Compared with other optimization methods, this method is simple in theory, has little dependence on field data, and has high precision.