Research on oxygen transfer in an aerated flow with emergent vegetation

Bai, Yu; Xia, Yinfeng; Geng, Nan; Qi, Yiting; Huang, Dan; Zhao, Yufeng; Huang, Lu; Shen, Dan‐Dan; Sun, Guojin; Xu, Cundong; Hua, Ertian

doi:10.1016/j.jhydrol.2022.128935

Cited by 6 publications

(5 citation statements)

References 73 publications

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“…Moreover, the transport of pollutants is influenced by both the flow velocity and turbulent diffusion, which is also the reason for the different changes in pollutant concentration under different vegetation cover conditions. Therefore, incorporating turbulent diffusion and mechanical diffusion caused by vegetation into the diffusion coefficient makes our model simulation results more accurate, which is consistent with previous research [48]. Due to the severe impact of vegetation layers on the transport of pollutants, especially the more complex impact of multi-layer vegetation, this is also the main reason why the distribution pattern of pollutants in multi-layer vegetation channels is different from conventional channels [49].…”

Section: Discussionsupporting

confidence: 86%

A Numerical Model of the Pollutant Transport in Rivers with Multi-Layer Rigid Vegetation

Xuan,

Yang,

et al. 2024

Water

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River water pollution is a key environmental issue to human society. How to effectively simulate the flow velocity and pollution transport in a vegetated river can provide a theoretical basis for solving such problems. Based on previous experimental data, this article uses the lattice Boltzmann method and random displacement method to simulate the velocity distribution and nutrient transport in multi-layer rigid vegetated rivers. The simulation results indicate that incorporating the drag force of the vegetation into the model according to different vegetation layers can effectively simulate the velocity in a multi-layer vegetated river. Incorporating the turbulent diffusion and mechanical diffusion effects of nutrients caused by vegetation into the model can effectively simulate the effects of multi-layer vegetation on nutrient transport. This model can provide effective predictions of the flow velocity and pollution transport in multi-layer vegetation.

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Section: Discussionsupporting

confidence: 86%

A Numerical Model of the Pollutant Transport in Rivers with Multi-Layer Rigid Vegetation

Xuan,

Yang,

et al. 2024

Water

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“…Zhang and Liu (2023) [20] proposed an analytic solution to determine the motion of water in turbulence, vegetation, and soil regions. Bai et al (2023) [21] derived an oxygen transfer coefficient for vegetated channels and used the lattice Boltzmann method to model flexible vegetated channel hydrodynamics. The researchers incorporated the projected area properties of flexible vegetation into the model to improve the simulation outcomes for the vertical velocity distribution.…”

Section: Introductionmentioning

confidence: 99%

Prediction performances of turbulence models in examining the flow characteristics of vegetated channels: CFD computations and experimentally validation

ŞİBİL

2024

Preprint

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The performance of turbulence models was investigated to predict the flow and turbulence features of the vegetated channel using Computational Fluid Dynamics (CFD). The Ansys Fluent, CFD software was implemented for the numerical studies. The flow was three-dimensional, incompressible, steady, and turbulent. Ten turbulence models, provided by Ansys Fluent were implemented for the comparative study. The numerical model was validated against an experimental study conducted in the literature. The numerical studies show that the renormalization group k-ε model (RNG) is the most successful model for predicting the flow characteristics of the vegetated channel with RMSE value of 0.2752. At the same time, the Reynolds Stress Model (RSM) gives the least successful predictive performance, indicated by an RMSE value of 0.4302. Moreover, the Spalart-Allmaras (S-A) model offers the shortest computation time with a value of 6652.393 sec, whereas the SST k-ω model proves to be the most time-consuming with a value of 11952.219 sec. The velocity of water flow in a channel is not uniform as it is slower at the surface of leaves and faster in the free zones. The maximum velocity is observed in the middle section of the channel, below the leaf, and between the roots with the value of u=0.1158 m/s. Furthermore, the characteristics of turbulence in a channel are influenced by various factors such as channel geometry, flow velocity, and vegetation distribution. As a result, the presence of vegetation in a channel affects the flow and turbulence characteristics of the water significantly.

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“…John et al (2024) reported that the effect of vegetation on the turbulent burst cycle is mostly obvious up to approximately two-thirds of the vegetation height. Bai et al (2023) obtained the oxygen transfer coefficient under rigid vegetation flow and found that vegetation could effectively increase the oxygen transfer coefficient. Tseng & Tinoco (2020) examined the relationship between the mean flow velocity and turbulent kinetic energy production in submerged and emergent vegetated rivers and developed a modified surface renewal model using turbulent kinetic energy production as an indicator of the DO transfer efficiency.…”

Section: Introductionmentioning

confidence: 99%

Research on bubbles and dissolved oxygen transfer in floating vegetated channels

Zhao,

Sun,

Bai

2024

Hydrology Research

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With river water quality deterioration in recent years, an increasing number of river water quality control studies have been conducted. Among relevant methods, aeration and vegetation planting are effective techniques. The combination of aeration and vegetation can improve the purification effect on the water quality. Based on flume experiments, the mass transfer coefficient of dissolved oxygen in rivers with floating vegetation patches of different diameters under hydrodynamics was studied. Large-diameter floating vegetation can effectively reduce the breaking of bubbles and increase the mass transfer coefficient of dissolved oxygen in rivers. According to mechanism analysis, a model of the oxygen mass transfer coefficient in floating vegetated channels was proposed, and a favorable simulation effect was obtained. This type of research could provide a theoretical basis for selecting and arranging vegetation in aeration floating vegetated channels.

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Research on oxygen transfer in an aerated flow with emergent vegetation

Cited by 6 publications

References 73 publications

A Numerical Model of the Pollutant Transport in Rivers with Multi-Layer Rigid Vegetation

A Numerical Model of the Pollutant Transport in Rivers with Multi-Layer Rigid Vegetation

Prediction performances of turbulence models in examining the flow characteristics of vegetated channels: CFD computations and experimentally validation

Research on bubbles and dissolved oxygen transfer in floating vegetated channels

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