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Donghae Baek, Il Won Seo, Jun Song Kim, Sung Hyun Jung and Yuyoung Choi
The dispersion coefficients are crucial in understanding the spreading of pollutant clouds in river flows, particularly in the context of the depth-averaged two-dimensional (2D) advection?dispersion equation (ADE). Traditionally, the 2D stream-tube routi...
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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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Jaehyun Shin, Dongsop Rhee and Inhwan Park
In this study, the performance of two routing procedures were evaluated to estimate the two-dimensional dispersion coefficients. The two-dimensional Stream-Tube Routing Procedure (2D ST-RP) has been widely used to obtain the dispersion coefficients from ...
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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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Elias Munapo
Pág. 6 - 10
The paper presents a new method for solving the 0?1 linear programming problems (LPs). The general 0?1 LPs are believed to be NP-hard and a consistent, efficient general-purpose algorithm for these models has not been found so far. Cutting planes an...
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Hok Sum Fok, Linghao Zhou and Hang Ji
A suitable routing model for predicting future monthly water discharge (WD) is essential for operational hydrology, including water supply, and hydrological extreme management, to mention but a few. This is particularly important for a remote area withou...
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Nicolás Montes, José Ángel Aranda and Rafael García-Bartual
Methods in operational hydrology for real-time flash-flood forecasting need to be simple enough to match requirements of real-time system management. For this reason, hydrologic routing methods are widely used in river engineering. Among them, the popula...
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Sina Keller, Raoul Gabriel and Johanna Guth
Average speed information, which is essential for routing applications, is often missing in the freely available OpenStreetMap (OSM) road network. In this contribution, we propose an estimation framework, including different machine learning (ML) models ...
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Ziqiang Ma, Xiao Tan, Yuan Yang, Xi Chen, Guangyuan Kan, Xiang Ji, Hanyu Lu, Jian Long, Yaokui Cui and Yang Hong
Rainfall information is a prerequisite to and plays a vital role in driving hydrological models. However, limited by the observation methods, the obtained precipitation data, at present, are still too coarse. In this study, a new downscaling method was 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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