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Measuring And Modeling Mean Flow, Turbulence, And Hydraulic Residence Time In Shallow Surface Water Systems Occupied By Submerged And Emergent Aquatic Vegetation

机译:淹没和新生水生植被所占据的浅层地表水系统中的平均流量,湍流和水力停留时间的测量和建模

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摘要

Predicting mixing and transport of pollutants and nutrients in natural surface waters requires consideration of many different scales, from the smallest scales of turbulence dissipated in the wakes of aquatic vegetation to the scales of transit through an entire aquatic system such as a lake, river, or wetland. Here we address two topics pertaining to the general problem of mixing and transport: the first is modeling of vertical mixing by turbulence in systems that may be occupied by aquatic plants, and the second is tracerbased measurement of hydraulic residence time (HRT), a bulk quantity defined as the time water remains in an aquatic system. We develop a numerical model that predicts vertical turbulent eddy viscosity in flow through aquatic vegetation, employing a k -[epsilon] approach. The model is unique in its treatment of turbulent dissipation in plant wakes, outperforming existing models in predicting experimental results from emergent and submerged rigid cylinders (model vegetation) in two laboratory studies. The model is applicable to real vegetation, but validation in real vegetation is pending as ongoing experiments are completed. The model can be readily incorporated into larger two- or three-dimensional hydrodynamic solvers that predict momentum and scalar transport in natural systems. Focusing on the system scale, we develop new methods for measuring mean HRT. A standard technique is the passive tracer pulse release, in which a known mass of neu- trally buoyant tracer is released all at once into a system, and its flux out of the system is monitored. The first temporal moment of tracer flux equals the mean HRT. We propose new methods for extrapolating flux in a way that is consistent with conservation of mass, correcting for photolytic decay of fluorescent water tracing dyes (commonly used tracers), and estimating uncertainty in mean HRT measurements. We review the literature on sorption of Rhodamine WT (a popular tracer), exposing knowledge gaps that must be filled before sorption can be predicted in field studies. We evaluate the advantage of carefully measuring velocity profiles across an outlet (vs. point measurement) and suggest techniques for measuring concentration over long times in particle-laden systems.
机译:预测天然地表水中污染物和养分的混合与运输需要考虑许多不同的尺度,从水生植物的尾迹消散的最小湍流尺度到整个湖泊,河流或湖泊等整个水生系统的过渡尺度。湿地。在这里,我们讨论了两个与混合和运输的一般问题有关的主题:第一个是通过湍流在水生植物可能占据的系统中对垂直混合进行建模,第二个是基于示踪法的水力停留时间(HRT)的测量定义为水在水生系统中停留时间的数量。我们开发了一种数值模型,该模型使用k-ε方法来预测流过水生植物的垂直湍流涡流粘度。该模型在处理植物尾流中的湍流耗散方面具有独特性,在两个实验室研究中,在预测来自出现和浸没的刚性圆柱体(模型植被)的实验结果方面,其性能优于现有模型。该模型适用于真实植被,但随着正在进行的实验完成,对真实植被的验证尚在进行中。该模型可以轻松地合并到较大的二维或三维流体动力学求解器中,以预测自然系统中的动量和标量传输。着眼于系统规模,我们开发了测量平均HRT的新方法。一种标准技术是被动示踪剂脉冲释放,其中一次释放已知质量的中性示踪剂,并将其全部释放到系统中,并监控其从系统中流出。示踪剂通量的第一个瞬时矩等于平均HRT。我们提出了一种新的推断通量的方法,该方法与质量守恒,校正荧光水​​示踪染料(常用的示踪剂)的光解衰减以及估算平均HRT测量的不确定性有关。我们回顾了关于若丹明WT(一种流行的示踪剂)吸附的文献,揭示了在实地研究中可以预测吸附之前必须填补的知识空白。我们评估了仔细测量整个出口的速度分布(相对于点测量)的优势,并提出了在充满粒子的系统中长时间测量浓度的技术。

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    King Alexandra;

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  • 年度 2011
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  • 正文语种 en_US
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