Application of chaotic simulated annealing algorithm to parameter optimization of nonlinear muskingum model 非线性马斯京根模型参数优化的混沌模拟退火法
2.
( 2 ) the key problem to the application of muskingum approach , in another word , there exists non - linear effect . therefore , to meet the demand of practical engineering to a more satisfactory extent , it is vital to convert the linear formula in muskingum model to a non - linear one 2 、在水文学中马斯京根( muskingum )法是河道洪水演算中广泛应用的方法，因该槽蓄方程是线性的，即把k , x在一定河段内假定为常数，这在某些情况下是不切实际的，为此必须将马斯京根模型中线性的槽蓄方程非线性化，才能更好地满足实际工程的需要。
3.
This literature suggests a non - linear muskingum model which can exactly reflect the above mentioned effect and offers an effective approach : mixed generating arithmetic ( abbreviated as mga ) which is capable of estimating the parameters k 、 x 、 m in a non - linear muskingum approach with considerable accuracy and high speed of convergence 本文提出正确反映这种作用的非线性马斯京根模型成为必要，并提出一种十分有效的方法混合遗传算法(以下简称mga ) ，能很好地估计非线性马斯京根模型中的参数k , x , m之值，而且计算精度高，收敛速度快。
4.
Geography position and meteorology character in gongboxia watershed are analyzed , according to which the excess of infiltration and instantaneous unit hydrograph are used in runoff and affluence models , and muskingum routing method in river course affluence , kalman filtering technique and least square method in real - time correction 分析公伯峡流域所处地理位置及该流域内的气象特征，确定产、汇流模型采用超渗产流和瞬时单位线，河道汇流采用马斯京根法，实时校正法由卡尔曼滤波和最小二乘法组成。
