Multiscale Experimental and Numerical Investigation of Impacts of Turbulence and Vegetation on Flow and Solute Transport in Hyporheic Zone

湍流和植被对地下水流和溶质运移影响的多尺度实验和数值研究

基本信息

  • 批准号:
    2209591
  • 负责人:
  • 金额:
    $ 55.34万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2022
  • 资助国家:
    美国
  • 起止时间:
    2022-12-01 至 2025-11-30
  • 项目状态:
    未结题

项目摘要

Hyporheic zone refers to the interface between the bed and surface water in streams, rivers, and other aquatic ecosystems. Contaminants and nutrients are constantly being exchanged between surface and subsurface water in the hyporheic zone, controlling water quality, the metabolism of benthic microbes, and the associated biogeochemical cycling. Vegetation and turbulence, which are ubiquitous in aquatic ecosystems, affect surface-subsurface exchange and, as such, impact water quality and stream biogeochemical cycling. However, how vegetation and turbulence impact exchange remains unclear, making it difficult to predict contaminant transport and biogeochemical cycling in streams, lakes, and coastal areas. The proposed study aims to combine laboratory experiments in a water-recirculating flume, numerical simulation, and field experiments in an outdoor stream to quantify the impacts of vegetation and turbulence on flow and solute transport in the hyporheic zone. The results from this study will help improve predictions of contaminant transport and biogeochemical cycling in streams and other aquatic ecosystems, as well as help ecologists design stream restoration projects that use vegetation to increase the retention and degradation of contaminants in sediment. The proposed project will also train next-generation scientists, including two graduate students and undergraduates from underrepresented groups. Further, a demonstration hands-on activity will be developed and used in outreach events for K-12 girls and teachers. The goal of the proposed research is to quantitatively characterize the role of turbulence and in-channel vegetation on hyporheic exchange and propose a multi-scale modeling framework for predicting hyporheic exchange and solute transport in meandering channels with bedforms, turbulent flows, and in-channel vegetation. Systematically controlled experiments with refractive index matched sediment and vegetation, as well as fluorescent dye imaging, will be conducted in flumes to directly visualize and quantify the turbulence and vegetation-induced hyporheic exchange. A physics-based theoretical model will be developed to predict hyporheic exchange as a function of turbulent kinetic energy and vegetation stem size, volume fraction, and drag coefficient. The theoretical model will then be incorporated into a multiscale numerical modeling framework to investigate the combined effects of the important drivers (including near-bed turbulence, vegetation, bedforms, and channel meanderings) on flow and solute transport in complex meandering streams. The modeling results will be further validated by field tracer experiments in an outdoor meandering channel with bedforms, turbulent flows, and vegetation.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
潜流带是指溪流、河流和其他水生生态系统中床水和地表水之间的界面。污染物和营养物质在潜流带的地表水和地下水之间不断交换,控制着水质、底栖微生物的新陈代谢以及相关的生物地球化学循环。水生生态系统中普遍存在的植被和湍流会影响地表-地下交换,从而影响水质和河流生物地球化学循环。然而,植被和湍流如何影响交换仍不清楚,这使得预测溪流、湖泊和沿海地区的污染物迁移和生物地球化学循环变得困难。拟议的研究旨在将水循环水槽中的实验室实验、数值模拟和室外溪流中的现场实验结合起来,以量化植被和湍流对潜流区水流和溶质输送的影响。这项研究的结果将有助于改进对溪流和其他水生生态系统中污染物迁移和生物地球化学循环的预测,并帮助生态学家设计利用植被来增加沉积物中污染物的保留和降解的溪流恢复项目。拟议的项目还将培训下一代科学家,包括两名来自代表性不足群体的研究生和本科生。此外,还将开发一项示范实践活动,并将其用于 K-12 女孩和教师的外展活动中。本研究的目标是定量表征湍流和河道内植被对潜流交换的作用,并提出一个多尺度建模框架,用于预测具有河床形态、湍流和河道内的蜿蜒河道中的潜流交换和溶质输运。植被。将在水槽中进行折射率匹配的沉积物和植被以及荧光染料成像的系统控制实验,以直接可视化和量化湍流和植被引起的潜流交换。将开发基于物理的理论模型来预测作为湍流动能和植被茎尺寸、体积分数和阻力系数的函数的潜流交换。然后,该理论模型将被纳入多尺度数值建模框架,以研究重要驱动因素(包括近床湍流、植被、床形和河道蜿蜒)对复杂蜿蜒溪流中流动和溶质输送的综合影响。建模结果将通过在具有床型、湍流和植被的室外蜿蜒通道中进行的现场示踪剂实验进一步验证。该奖项反映了 NSF 的法定使命,并通过使用基金会的智力优点和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

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Judy Yang其他文献

Judy Yang的其他文献

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{{ truncateString('Judy Yang', 18)}}的其他基金

CAREER: Predicting Biofilm-Bound Sediment Dynamics Through Multiscale Experiments
职业:通过多尺度实验预测生物膜结合的沉积物动力学
  • 批准号:
    2236497
  • 财政年份:
    2023
  • 资助金额:
    $ 55.34万
  • 项目类别:
    Continuing Grant
Collaborative Research: Grain to Channel Scale Experimental and Numerical Investigation of Cohesive Sediment Transport
合作研究:粘性沉积物迁移的颗粒到通道尺度的实验和数值研究
  • 批准号:
    2150796
  • 财政年份:
    2022
  • 资助金额:
    $ 55.34万
  • 项目类别:
    Standard Grant

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复合材料夹芯板热机械行为的多尺度实验和数值研究,将环境影响整合到虚拟测试方法中
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    RGPIN-2021-04227
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实验和数值相结合的方法来研究由静止溶质马兰戈尼不稳定性引起的多尺度结构的层次结构
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