1) nonlinear Muskingum model
非线性马斯京根模型
1.
A new algorithm,parameter estimation for nonlinear Muskingum model based on Particle Swarm Optimization(PSO) is proposed in this paper in order to solve the problem of linearization、complexity and poor accuracy for parameter estimation of Muskingum model at present.
针对目前马斯京根河道洪水演进模型参数率定中所存在的线性化、求解复杂、精度差等问题,本文提出了一种基于粒子群优化(Particle Swarm Optimization,PSO)算法的非线性马斯京根模型参数率定新方法,并将其应用于称钩弯—临清段洪水演进计算中。
2.
The principle and implementing steps of this algorithm are introduced in detail and is applied to estimate the parameter of nonlinear Muskingum model.
本文在分析经典二进制遗传算法不足之处的基础上提出一种改进的混合遗传算法 (MGA) ,用于对非线性马斯京根模型参数的估计 。
3.
A newly developed heuristic algorithm,Harmony Search,is applied to the parameter estimation problem based on the nonlinear Muskingum model in combination with a flood routing formula which is derived from water balance equation and storage equation.
将一种新发展起来的启发式算法——和声搜索法与水量平衡方程及非线性槽蓄方程推导所得的演算公式相结合,用于非线性马斯京根模型参数率定和流量演算。
2) Muskingum routing model
马斯京根模型
1.
Chaos high efficient genetic algorithm for parameter optimization of Muskingum routing model;
混沌高效遗传算法在马斯京根模型参数优选中的应用
2.
Differential Evolution Algorithm for Parameter Optimization of Muskingum Routing Model
差分进化算法在马斯京根模型参数优选中的应用
3.
By making use of the ant colony algorithm in the continuous space optimization problems,the parameter estimation of Muskingum routing model is solved.
研究了一种可用于求解连续空间优化问题的蚁群算法策略,针对洪水演算的马斯京根模型参数估计问题,应用连续性空间优化问题的蚁群算法模型进行了求解。
3) Muskingum model
马斯京根模型
1.
For the parameter estimation problem of flood calculation of Muskingum model,first,it is summed up as a non-linear parameter optimization problem,and then solved by adaptive accelerating differential evolution(AADE).
针对洪水演算的马斯京根模型参数估计问题,首先将其归结为非线性参数优化问题,然后利用自适应加速差分进化算法进行求解。
5) Muskingum
马斯京根
1.
With the application of Muskingum routing method,Muskingum water-level simulating method and diffusion wave nonlinear water-level method,flood is forecasted and regulated in the part basin between Wa.
采用马斯京根法、马斯京根水位模拟法和扩散波非线性水位法,对淮河干流王家坝至鲁台子区间具有行蓄洪区流域洪水进行预报。
2.
In order to solve the problem of complexity and poor accuracy for parameter estimation in Muskingum model,the chaos was incorporated into particle swarm optimization,chaotic particle swarm optimization algorithm to estimate the parameter of Mustingum model was set up.
针对目前马斯京根模型参数率定中存在的求解复杂、精度不高等问题,本文将混沌搜索机制引入粒子群优化算法中,构建混沌粒子群优化算法对马斯京根模型参数进行率定。
6) Muskingum method
马斯京根法
1.
The paper approaches and analyzes the application of linear regression method,Muskingum method and method of confluence coefficient to the calculation of low flow of Ning-Meng section of the Yellow River based on the principle of hydrology of flow routing and taking a day as time step.
基于流量演进的水文学原理,以日为时间步长,分析探讨了线性回归法、马斯京根法和汇流系数法在黄河宁蒙河段枯水流量演算中的应用。
2.
Then the general design flood with flood peak of 1132m3/s is gained by Muskingum method and sup.
根据工程所在流域实际地理、水文等特点,将流域分为4个分区,利用降雨和流量资料推求出工程所在区域不同分区的设计洪水,而后利用马斯京根法和流量过程叠加原理得到目标断面设计洪峰流量1 132 m3/s,该结果与历史洪水和以往设计成果进行对比验证,确定计算结果合理可靠,符合未来洪水变化情势。
3.
Taking gradient and slope angle as main factors,a watershed is discretized into some sub-catchments according to natural draining divide,and aiming at characteristics of the research area,a rainfall-runoff distributed hydrological model orienting to catchment scale is established in this thesis with combination of runoff yielding and water routing model of SCS and Muskingum method.
针对研究区的水文、气象特点,本文以坡度、坡向为下垫面主要因素,按照集水区自然分水线划分子流域的流域离散方法,将SCS产、汇流模型与马斯京根法相结合建立了基于流域尺度的次降雨-径流分布式水文模型。
补充资料：连续时间非线性系统模型
分子式：
CAS号：
性质：系统模型的一种，其变量之间的关系是司E线性的且时间变量连续的系统模型。
CAS号：
性质：系统模型的一种，其变量之间的关系是司E线性的且时间变量连续的系统模型。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条