气候变化领域集成服务门户(CCPortal): A genetic programming-based model for drag coefficient of emergent vegetation in open channel flows

CCPortal

DOI	10.1016/j.advwatres.2020.103582
	A genetic programming-based model for drag coefficient of emergent vegetation in open channel flows
	Liu M.-Y.; Huai W.-X.; Yang Z.-H.; Zeng Y.-H.
发表日期	2020
ISSN	0309-1708
卷号	140
英文摘要	The estimation of drag exerted by vegetation is of great interest because of its importance in assessing the impact of vegetation on the hydrodynamic processes in aquatic environments. In the current research, genetic programming (GP), a machine learning (ML) technique based on natural selection, was adopted to search for a robust relationship between the bulk drag coefficient (Cd) for arrays of rigid circular cylinders representing emergent vegetation with blockage ratio (ψ), vegetation density (λ) and pore Reynolds number (Rep) based on published data. We utilize a data set covering a wide range of each parameter involved to cover all possible dependencies. A new predictor, which shares the same form with the Ergun-derived formula, was obtained without any pre-specified forms before searching. The dependence of the two parameters in Ergun equation on vegetation characteristics was also estimated by GP. This new Cd predictor for emergent vegetation with a relatively concise form exhibits a considerable improvement in terms of prediction ability relative to existing predictors. © 2020
关键词	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
语种	英语
来源机构	Advances in Water Resources
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/131805
推荐引用方式 GB/T 7714	Liu M.-Y.,Huai W.-X.,Yang Z.-H.,et al. A genetic programming-based model for drag coefficient of emergent vegetation in open channel flows[J]. Advances in Water Resources,2020,140.
APA	Liu M.-Y.,Huai W.-X.,Yang Z.-H.,&Zeng Y.-H..(2020).A genetic programming-based model for drag coefficient of emergent vegetation in open channel flows.,140.
MLA	Liu M.-Y.,et al."A genetic programming-based model for drag coefficient of emergent vegetation in open channel flows".140(2020).