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Mostafa Farrag, Gerald Corzo Perez and Dimitri Solomatine
Many grid-based spatial hydrological models suffer from the complexity of setting up a coherent spatial structure to calibrate such a complex, highly parameterized system. There are essential aspects of model-building to be taken into account: spatial re...
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Min Li, Zhirui Cui and Tianyu Fan
In order to further improve the accuracy of flood routing, this article uses the Variable Exponential Nonlinear Muskingum Model (VEP-NMM), combined with the Artificial Rabbit Optimization (ARO) algorithm for parameter calibration, to construct the ARO-VE...
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Eui Hoon Lee, Ho Min Lee and Joong Hoon Kim
The Muskingum flood routing model is a representative flood routing model. The field applicability of the Muskingum flood routing model is known to be good, and the structure of input data is simple. However, accurate flood routing cannot be conducted us...
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Changqing Meng, Jianzhong Zhou, Deyu Zhong, Chao Wang and Jun Guo
A modified form of the distributed Grid-Xinanjiang model (GXAJ) characterizing the infiltration excess and saturation excess runoff mechanisms coupled to a two-source potential evapotranspiration model (TSPE) was proposed to simulate the hydrological pro...
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Mohammad Ehteram, Faridah Binti Othman, Zaher Mundher Yaseen, Haitham Abdulmohsin Afan, Mohammed Falah Allawi, Marlinda Bt. Abdul Malek, Ali Najah Ahmed, Shamsuddin Shahid, Vijay P. Singh and Ahmed El-Shafie
Flood prediction and control are among the major tools for decision makers and water resources planners to avoid flood disasters. The Muskingum model is one of the most widely used methods for flood routing prediction. The Muskingum model contains four p...
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Tao Bai, Jian Wei, Wangwang Yang and Qiang Huang
In order to overcome the problems in the parameter estimation of the Muskingum model, this paper introduces a new swarm intelligence optimization algorithm?Wolf Pack Algorithm (WPA). A new multi-objective function is designed by considering the weighted ...
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Gang Zhang, Tuo Xie, Lei Zhang, Xia Hua, Chen Wu, Xi Chen, Fangfeng Li and Bin Zhao
This paper discusses the Muskingum model as a novel parameter estimation method. Sixty representative floods over the past four decades serve as research objects; a linear Muskingum model and Pigeon-inspired optimization (PIO) algorithm are used to obtai...
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Ahmed Naseh Ahmed Hamdan, Suhad Almuktar and Miklas Scholz
It has become necessary to estimate the quantities of runoff by knowing the amount of rainfall to calculate the required quantities of water storage in reservoirs and to determine the likelihood of flooding. The present study deals with the development o...
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Yulong Zhang, Jianzhong Zhou and Chengwei Lu
One-dimensional hydrodynamic modeling approaches are useful for flood simulations; however, most studies often neglect intermediate discharges due to difficulties in obtaining the associated data. Herein, we produced the XAJ-H1DM model by coupling the Xi...
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Bitew G. Tassew, Mulugeta A. Belete and K. Miegel
Understanding the complex relationships between rainfall and runoff processes is necessary for the proper estimation of the quantity of runoff generated in a watershed. The surface runoff was simulated using the Hydrologic Modelling System (HEC-HMS) for ...
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Wana Geyisa Namara, Tamane Adugna Damise, Fayera Gudu Tufa
Pág. 68 - 86
Rainfall runoff modeling is one of the most complex hydrological modeling due to the involvement of different watershed physical parameters. It is essential for the analysis of watershed hydrological response toward the received precipitation under the i...
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