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A genetic programming-based model for drag coefficient of emergent vegetation in open channel flows 期刊论文
, 2020, 卷号: 140
作者:  Liu M.-Y.;  Huai W.-X.;  Yang Z.-H.;  Zeng Y.-H.
收藏  |  浏览/下载：28/0  |  提交时间：2020/07/28
Banks (bodies of water)  Circular cylinders  Drag  Drag coefficient  Genetic algorithms  Genetic programming  Reynolds number  Vegetation  Aquatic environments  Blockage ratio  Derived formulae  Emergent vegetation  Ergun equation  Hydrodynamic process  Natural selection  Vegetation density  Open channel flow  drag coefficient  hydrodynamics  machine learning  modeling  open channel flow  vegetation  
Open channel flow within and above a layered vegetation: Experiments and first-order closure modeling 期刊论文
, 2020, 卷号: 137
作者:  Rahimi H.R.;  Tang X.;  Singh P.;  Li M.;  Alaghmand S.
收藏  |  浏览/下载：38/0  |  提交时间：2020/07/28
Analytical models  Circular cylinders  Mean square error  Vegetation  Velocity  Wetlands  Emergent vegetation  Experimental conditions  Root mean square errors  Submerged vegetation  Turbulent eddy viscosities  Two-layer  Velocity profiles  Vertical distributions  Open channel flow  flow modeling  flume experiment  open channel flow  Reynolds number  submerged vegetation  velocity profile  vertical distribution