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首页> 外文期刊>River research and applications >Modelling Spatio-temporal Flow Characteristics In Groyne Fields
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Modelling Spatio-temporal Flow Characteristics In Groyne Fields

机译:Groyne场时空流动特征建模

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摘要

The spatio-temporal distribution of residence times and water ages in groyne fields plays an important role for a number of biotic processes, particularly conditioning nutrient dynamics and phytoplankton growth. Experimental determination of these parameters involves time-consuming field work and is often limited to the water surface depending on the methodology applied. Computational fluid dynamics (CFD) can be used as efficient tool for direct modelling of residence times, limiting additional field work to collect data necessary for model calibration and validation. The objective of this study is to derive, test and apply a numerical particle-tracing method to model these flow characteristics based on the output of a three-dimensional hydrodynamic model for turbulent river flow. This allows for an evaluation of residence times and water ages at an arbitrary elevation within the water column. Virtual particles are released in a control volume, and their paths and travel times to and from the main stream are traced using a random-walk approach based on the spatial distribution of turbulent kinetic energy to account for turbulent fluctuations. The modelling approach was successfully validated for the water surface using field data measured in a groyne field of the Danube River in Austria. Particle-tracing experiments were carried out for several discharges to study the evolution of residence times and water ages with varying runoff. It was found that discharges at which overtopping of the groynes begins lead to significantly higher residence times and water ages than runoff higher or lower than this characteristic value. These findings are expected to be transferable for groyne fields of similar geometry and crest height.
机译:丁香田地中停留时间和水龄的时空分布对许多生物过程,尤其是调节营养动态和浮游植物的生长起着重要作用。这些参数的实验确定涉及费时的现场工作,并且取决于所采用的方法,通常仅限于水面。计算流体动力学(CFD)可以用作对停留时间进行直接建模的有效工具,从而限制了额外的现场工作,以收集模型校准和验证所需的数据。这项研究的目的是基于湍流河水三维水动力模型的输出,推导,测试和应用数值颗粒追踪方法对这些流量特征进行建模。这样可以评估水柱内任意高度的停留时间和水龄。虚拟颗粒以控制量释放,并基于湍动能的空间分布,使用随机游走方法来追踪其往返于主流的路径和行进时间,以解决湍流的波动。使用在奥地利多瑙河的防波堤场中测量的现场数据,成功地对水面的建模方法进行了验证。对几种流量进行了颗粒追踪实验,以研究滞留时间和水龄随径流量的变化。已发现,与高于或低于此特征值的径流相比,开始漏水的堤坝会导致停留时间和水龄显着增加。预期这些发现可用于具有相似几何形状和波峰高度的丁坝场。

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