摘要
为解决参数率定过程复杂的问题,将河段内的融冰产生的流量视为河段下断面出流的一部分,构建出适用于文开河融冰时期洪水演进的马斯京根模型,并将优化算法应用到模型参数率定的过程中。以黄河宁蒙河段为例,采用试错法、非线性规划法和智能算法中的遗传算法这3种方法对所构建的模型参数进行率定。模拟结果表明:3种方法所模拟的出流过程线均合格;整体上,非线性规划法模拟的精度最高,其洪水的确定性系数D c为0.980,过程平均相对误差RE为4.840%;而试错法模拟的洪峰流量更为准确,且冰期模拟精度高于无冰期。本研究为融冰洪水演进的模拟提供了一种新方法。
In order to simplify the complex calibration process of parameters,a modified Muskingum routing model suitable for the simulation of ice-thawing flood during river ice tranquil breakup period is proposed,in which the flow generated by thawing ice in the reach is considered as a part of the outflow of the lower section of the reach.Moreover,the optimization algorithm is applied to the parameter calibration process of the model.Taking the Ningxia-Inner Mongolia reach of the Yellow River as an example,the parameter K and x of the proposed model are calibrated by trial-and-error method,nonlinear programming method and genetic algorithm.The simulation results show that the outflow hydrograph calculated by the three methods are all qualified.Overall,the nonlinear programming method has the highest accuracy,with the determination coefficient(D c)of the flood being 0.980 and the average relative error(RE)of the process being 4.840%.However,the peak flow simulated by the trial-and-error method is more accurate.Moreover,its simulation accuracy of ice-covered period is higher than that of open-flow period.The proposed model provides a new approach for the study of ice thawing flood routing.
作者
林瑜
吕海深
朱永华
孙铭悦
张梅洁
LIN Yu;L Haishen;ZHU Yonghua;SUN Mingyue;ZHANG Meijie(College of Hydrology and Water Resources,Hohai University,Nanjing 210098,China;State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering,Hohai University,Nanjing 210098,China)
出处
《水资源与水工程学报》
CSCD
北大核心
2021年第4期86-92,共7页
Journal of Water Resources and Water Engineering
基金
国家重点研发计划项目(2019YFC1510504)
国家自然科学基金项目(41830752、42071033)。
关键词
洪水演进
河冰消融
马斯京根模型
文开河
度日因子法
flood routing
river ice thawing-breakup
Muskingum model
tranquil breakup
degree-day factor method
