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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：21/0  |  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  
New dynamic two-layer model for predicting depth-averaged velocity in open channel flows with rigid submerged canopies of different densities 期刊论文
, 2020, 卷号: 138
作者:  Yang F.;  Huai W.-X.;  Zeng Y.-H.
收藏  |  浏览/下载：14/0  |  提交时间：2020/07/28
Genetic algorithms  Genetic programming  Quay walls  Suspensions (fluids)  Velocity  Velocity distribution  Wall flow  Combination method  Data-driven methods  Depth-averaged velocities  Different densities  Flow rate estimations  Hydraulic resistances  Submerged vegetation  Two layer model  Open channel flow  dynamic analysis  flood  fluid flow  open channel flow  prediction  seasonal variation  submerged vegetation