Vertical heterogeneity and flexible root dynamics in pollutant transport: A hybrid lattice Boltzmann method - random displacement model approach for optimizing artificial floating bed design

IF 12.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research Pub Date : 2025-07-15 Epub Date: 2025-03-22 DOI:10.1016/j.watres.2025.123536
Yu Bai , Dandan Shen , Dongjing Huang
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Abstract

Artificial floating beds are widely recognized as an effective ecological approach for river water quality management. However, prior research has predominantly focused on pollutant retention efficiency across vegetation types, leaving the pollutant diffusion dynamics influenced by flexible-rooted vegetation underexplored. This study bridges this gap by investigating solute transport mechanisms in artificial floating bed channels with flexible vegetation roots through integrated indoor flume experiments and numerical simulations. A novel hybrid model, combining the lattice Boltzmann method for hydrodynamic simulation and the random displacement model for solute transport, was developed to quantify the vertical heterogeneity of pollutant diffusion coefficients. Experiments involved three bionic vegetation types with varying root morphologies, and solute transport was monitored using planar laser-induced fluorescence. Key findings revealed that flow velocity within the vegetation root zone was significantly reduced, particularly for vegetation with higher drag coefficients (e.g., Plant 2). The characteristic root diameter d50  was identified as the optimal parameter for simulating diffusion coefficients, achieving high accuracy. Vertical root distribution variance was incorporated into the diffusion model, enhancing simulation precision. Results demonstrated distinct pollutant dispersion patterns depending on source depth and vegetation type, with non-vegetated zones adhering to Gaussian concentration distributions. This study provides critical theoretical insights into pollutant transport mechanisms in flexible-rooted artificial floating beds, offering a foundation for optimizing artificial floating beds design and placement to improve water quality management strategies. Future work should validate these findings through outdoor experiments and integrate pollutant retention modules for practical applications.
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污染物运移中的垂直非均质性和柔性根动力学:一种混合晶格玻尔兹曼方法-优化人工浮床设计的随机位移模型方法
人工浮床是一种有效的河流水质生态管理方法。然而,以往的研究主要集中在不同植被类型的污染物滞留效率上,对柔性根植被对污染物扩散动力学的影响研究较少。本研究通过室内水槽综合实验和数值模拟,研究了具有柔性植被根的人工浮床通道中溶质运移机制,从而弥补了这一空白。将水动力模拟的晶格玻尔兹曼方法与溶质输运的随机位移模型相结合,建立了一种新的混合模型来量化污染物扩散系数的垂直非均质性。实验采用三种不同根系形态的仿生植被类型,利用平面激光诱导荧光监测溶质迁移。结果表明,植被根区流速显著降低,特别是对于阻力系数较高的植被(如Plant 2),特征根直径d50是模拟扩散系数的最优参数,具有较高的精度。扩散模型中加入了垂直根分布方差,提高了模拟精度。结果表明,不同的污染源深度和植被类型具有不同的污染物扩散模式,非植被区符合高斯浓度分布。本研究为柔性根人工浮床的污染物运移机制提供了重要的理论见解,为优化人工浮床的设计和布置,改善水质管理策略提供了基础。未来的工作应该通过室外实验验证这些发现,并将污染物保留模块集成到实际应用中。
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来源期刊
Water Research
Water Research 环境科学-工程:环境
CiteScore
20.80
自引率
9.40%
发文量
1307
审稿时长
38 days
期刊介绍: Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include: •Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management; •Urban hydrology including sewer systems, stormwater management, and green infrastructure; •Drinking water treatment and distribution; •Potable and non-potable water reuse; •Sanitation, public health, and risk assessment; •Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions; •Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment; •Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution; •Environmental restoration, linked to surface water, groundwater and groundwater remediation; •Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts; •Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle; •Socio-economic, policy, and regulations studies.
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