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Floating seed dispersal in open channel flow with emergent vegetation
Author(s) -
Liu Xiaoguang,
Zeng Yuhong,
Huai Wenxin
Publication year - 2019
Publication title -
ecohydrology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.982
H-Index - 54
eISSN - 1936-0592
pISSN - 1936-0584
DOI - 10.1002/eco.2038
Subject(s) - biological dispersal , dimensionless quantity , collision , flow (mathematics) , particle (ecology) , exponential function , vegetation (pathology) , environmental science , mechanics , statistical physics , computer science , hydrology (agriculture) , physics , mathematics , geology , ecology , geotechnical engineering , mathematical analysis , biology , population , medicine , demography , computer security , pathology , sociology
In this paper, we investigate the effects of stem density and flow velocity on interaction processes between two types of floating particles and rigid emergent vegetation in open channel flow. A new definition of the probability that a floating particle interacts with a stem is proposed and validated, and particle–stem interaction processes (including collision and capture mechanisms) are further explored, including a collision model proposed and validated to predict the probability of collision with a correction parameter. We also establish an appropriate length scale to analyse the particle–stem mechanism (for the vegetation characteristics and arrangement used in this study). A more accurate statistical model based on Gamma function is proposed to describe floating particle dispersal from unvegetated section to vegetated section, which is verified compared with exponential model, and two empirical formulas are proposed to apply the Gamma distribution to the particle dispersal in natural systems. We also propose a dimensionless parameter to evaluate the attraction capacity of the floating particle attached to the stem based on analysing forces acting on the particle. Phenomena observed in these experiments are presented for future analysis and research.