Muskingum Models' Development and their Parameter Estimation: A State-of-the-art Review

被引:14
|
作者
Wang, Wen-chuan [1 ]
Tian, Wei-can [1 ]
Xu, Dong-mei [1 ]
Chau, Kwok-wing [2 ]
Ma, Qiang [3 ]
Liu, Chang-jun [3 ]
机构
[1] North China Univ Water Resources & Elect Power, Coll Water Resources, Henan Key Lab Water Resources Conservat & Intens U, Zhengzhou 450046, Peoples R China
[2] Hong Kong Polytech Univ, Dept Civil & Environm Engn, Hung Hom, Kowloon, Hong Kong, Peoples R China
[3] China Inst Water Resources & Hydropower Res, Res Ctr Flood & Drought Disaster Reduct, Beijing 100081, Peoples R China
关键词
Flood routing; Muskingum model; Parameter estimation; Evolutionary algorithms; Hybrid algorithms; 4-PARAMETER NONLINEAR MUSKINGUM; FLOOD-ROUTING MODEL; PARTICLE SWARM OPTIMIZATION; EXCEL SOLVER; MASS;
D O I
10.1007/s11269-023-03493-1
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
River flood routing is an important issue in current water resources management. As a popular hydrological flood routing method, Muskingum model has always been the dominant method of flood routing. This paper reviews the development of Muskingum model and the research status of its parameter estimation. The characteristics and relationships of different types of Muskingum models are compared, and it is found that the combination of mathematical techniques and evolutionary algorithms has shown good results in parameter estimation in recent years. In addition, this paper also gives a brief overview of six accuracy evaluation criteria and nine research case data sets commonly used in the literature. It also introduces some challenges of the Muskingum model and new trends in future research, which should interest researchers and engineers.
引用
收藏
页码:3129 / 3150
页数:22
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