Muskingum models' development and their parameter estimation: a state-of-the-art review
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 …
popular hydrological flood routing method, Muskingum model has always been the …
[HTML][HTML] Review of machine learning methods for river flood routing
L Li, KS Jun - Water, 2024 - mdpi.com
River flood routing computes changes in the shape of a flood wave over time as it travels
downstream along a river. Conventional flood routing models, especially hydrodynamic …
downstream along a river. Conventional flood routing models, especially hydrodynamic …
Assessment of artificial intelligence models for calculating optimum properties of lined channels
M Niazkar - Journal of Hydroinformatics, 2020 - iwaponline.com
Lined channels with trapezoidal, rectangular and triangular sections are the most common
manmade canals in practice. Since the construction cost plays a key role in water …
manmade canals in practice. Since the construction cost plays a key role in water …
Flood routing: improving outflow using a new non-linear Muskingum model with four variable parameters coupled with PSO-GA algorithm
R Akbari, MR Hessami-Kermani, S Shojaee - Water Resources …, 2020 - Springer
Flood is one of the most destructive natural disasters that damages people's lives
dramatically. Thus, it is crucial for researchers and politicians to research flood routing. The …
dramatically. Thus, it is crucial for researchers and politicians to research flood routing. The …
Investigation the effect of using variable values for the parameters of the linear Muskingum method using the particle swarm algorithm (PSO)
J Bazargan, H Norouzi - Water Resources Management, 2018 - Springer
Flood routing is a technique to determine the flood hydrograph at a point of downstream
where is of great importance and flood-induced risks can cause irreparable damages …
where is of great importance and flood-induced risks can cause irreparable damages …
Assessment of modified honey bee mating optimization for parameter estimation of nonlinear Muskingum models
Because the nonlinear Muskingum model continues to be popular, the need for precise
calibration of the model parameters provides an active area of research in hydrologic …
calibration of the model parameters provides an active area of research in hydrologic …
Revisiting the estimation of Colebrook friction factor: a comparison between artificial intelligence models and CW based explicit equations
M Niazkar - KSCE Journal of Civil Engineering, 2019 - Springer
Abstract Application of Colebrook-White (CW) relation for calculating Darcy-Weisbach (DW)
friction factor has been widely accepted in literature. However, its implicit formation made it …
friction factor has been widely accepted in literature. However, its implicit formation made it …
A systematic review of Muskingum flood routing techniques
A Salvati, A Moghaddam Nia… - Hydrological …, 2024 - Taylor & Francis
Flood routing is an important topic in engineering hydrology and an integral part of flood
management and hydrodynamic modelling studies. Muskingum and Muskingum-Cunge …
management and hydrodynamic modelling studies. Muskingum and Muskingum-Cunge …
Novel grain and form roughness estimator scheme incorporating artificial intelligence models
Determination of flow resistance in open channel flows is not only important for practical
engineering applications but also challenging because of multiple factors involved. The …
engineering applications but also challenging because of multiple factors involved. The …
Development of a new 8-parameter muskingum flood routing model with modified inflows
EH Lee - Water, 2021 - mdpi.com
Flood routing can be subclassified into hydraulic and hydrologic flood routing; the former
yields accurate values but requires a large amount of data and complex calculations. The …
yields accurate values but requires a large amount of data and complex calculations. The …