scholarly journals Fine particle transport dynamics in response to wood additions in a small agricultural stream

2020 ◽  
Vol 34 (21) ◽  
pp. 4128-4138
Author(s):  
Jennifer Drummond ◽  
Aslan Wright‐Stow ◽  
Paul Franklin ◽  
John Quinn ◽  
Aaron Packman
2018 ◽  
Vol 179 ◽  
pp. 123-136 ◽  
Author(s):  
Daniel Palchan ◽  
Mordechai Stein ◽  
Steven L. Goldstein ◽  
Ahuva Almogi-Labin ◽  
Ofir Tirosh ◽  
...  

2015 ◽  
Vol 12 (9) ◽  
pp. 838-840 ◽  
Author(s):  
Nilah Monnier ◽  
Zachary Barry ◽  
Hye Yoon Park ◽  
Kuan-Chung Su ◽  
Zachary Katz ◽  
...  

2011 ◽  
Vol 25 (06) ◽  
pp. 377-383
Author(s):  
J.-P. RIVET ◽  
F. DEBBASCH

The diffusion approximation replaces a real transport dynamics by an approximate stochastic Markov process. It is proposed that, when both dynamics have invariant measures, the conditional entropy of the invariant measure of the real dynamics with respect to the invariant measure of the Markov process be used to assess quantitatively the validity of the approximation. This proposal is tested on particle transport; the diffusion approximation is found to be quite robust, valid for an unexpectedly large range of mass ratios between the solvent and the Brownian particle.


2010 ◽  
Vol 665 ◽  
pp. 1-45 ◽  
Author(s):  
CELALETTIN E. OZDEMIR ◽  
TIAN-JIAN HSU ◽  
S. BALACHANDAR

Studying particle-laden oscillatory channel flow constitutes an important step towards understanding practical application. This study aims to take a step forward in our understanding of the role of turbulence on fine-particle transport in an oscillatory channel and the back effect of fine particles on turbulence modulation using an Eulerian–Eulerian framework. In particular, simulations presented in this study are selected to investigate wave-induced fine sediment transport processes in a typical coastal setting. Our modelling framework is based on a simplified two-way coupled formulation that is accurate for particles of small Stokes number (St). As a first step, the instantaneous particle velocity is calculated as the superposition of the local fluid velocity and the particle settling velocity while the higher-order particle inertia effect neglected. Correspondingly, only the modulation of carrier flow is due to particle-induced density stratification quantified by the bulk Richardson number, Ri. In this paper, we fixed the Reynolds number to be ReΔ = 1000 and varied the bulk Richardson number over a range (Ri = 0, 1 × 10−4, 3 × 10−4 and 6 × 10−4). The simulation results reveal critical processes due to different degrees of the particle–turbulence interaction. Essentially, four different regimes of particle transport for the given ReΔ are observed: (i) the regime where virtually no turbulence modulation in the case of very dilute condition, i.e. Ri ~ 0; (ii) slightly modified regime where slight turbulence attenuation is observed near the top of the oscillatory boundary layer. However, in this regime a significant change can be observed in the concentration profile with the formation of a lutocline; (iii) regime where flow laminarization occurs during the peak flow, followed by shear instability during the flow reversal. A significant reduction in the oscillatory boundary layer thickness is also observed; (iv) complete laminarization due to strong particle-induced stable density stratification.


2015 ◽  
Vol 19 (4) ◽  
pp. 1189-1193
Author(s):  
Feifeng Cao ◽  
Zhanhong Wan ◽  
Minmin Wang ◽  
Zhenjiang You ◽  
Zongfu Ren

A method for prediction of fine particle transport in a turbulent flow is proposed, the interaction between particles and fluid is studied numerically, and fractal agglomerate of fine particles is analyzed using Taylor-expansion moment method. The paper provides a better understanding of fine particle dynamics in the evolved flows.


2005 ◽  
Vol 12 (2) ◽  
pp. 211-218 ◽  
Author(s):  
B. Sivakumar ◽  
T. Harter ◽  
H. Zhang

Abstract. The potential use of a nonlinear deterministic framework for understanding the dynamic nature of solute transport processes in subsurface formations is investigated. Time series of solute particle transport in a heterogeneous aquifer medium, simulated using an integrated probability/Markov chain (TP/MC) model, groundwater flow model, and particle transport model, are studied. The correlation dimension method, a popular nonlinear time series analysis technique, is used to identify nonlinear determinism. Sensitivity of the solute transport dynamics to the four hydrostratigraphic parameters involved in the TP/MC model: (1) number of facies; (2) volume proportions of facies; (3) mean lengths (and thereby anisotropy ratio of mean length) of facies; and (4) juxtapositional tendencies (i.e. degree of entropy) among the facies is also studied. The western San Joaquin Valley aquifer system in California is considered as a reference system. The results indicate, in general, the nonlinear deterministic nature of solute transport dynamics (dominantly governed by only a very few variables, on the order of 3), even though more complex behavior is possible under certain (extreme) hydrostratigraphic conditions. The sensitivity analysis reveals: (1) the importance of the hydrostratigraphic parameters (in particular, volume proportions of facies and mean lengths) in representing aquifer heterogeneity; and (2) the ability of the correlation dimension method in capturing the (extent of) complexity of the underlying dynamics. Verification and confirmation of the present results through use of other nonlinear deterministic techniques and assessment of their reliability for a wide range of solute transport scenarios are recommended.


2000 ◽  
Vol 14 (3) ◽  
pp. 945-955 ◽  
Author(s):  
E. Thomas ◽  
K. K. Turekian ◽  
K.-Y. Wei

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