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首页> 外文期刊>Journal of the Atmospheric Sciences >Lagrangian particle dispersion modeling of the fumigation process using large-eddy simulation
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Lagrangian particle dispersion modeling of the fumigation process using large-eddy simulation

机译:使用大涡模拟对熏蒸过程的拉格朗日粒子扩散建模

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摘要

A Lagrangian particle dispersion model (LPDM) is used to study fumigation of pollutants in and above the entrainment zone into a growing convective boundary layer. Probability density functions of particle location with height and time are calculated from particle trajectories driven by the sum of the resolved-scale velocity from a large-eddy simulation (LES) model and the stochastic subgrid-scale (SGS) velocity. The crosswind-integrated concentration (CWIC) fields show good agreement with water tank experimental data. A comparison of the LPDM output with an Eulerian diffusion model output based on the same LES flow shows qualitative agreement with each other except that a greater overshoot maximum of the ground-level concentration occurs in the Eulerian model.The dimensionless CWICs near the surface for sources located above the entrainment zone collapse to a nearly universal curve provided that the profiles are time shifted, where the shift depends on the source heights. The dimensionless CWICs for sources located within the entrainment zone show a different behavior. Thus, fumigation from sources above the entrainment zone and within the entrainment zone should be treated separately. An examination of the application of Taylor's translation hypothesis to the fumigation process showed the importance of using the mean boundary layer wind speed as a function of time rather than the initial mean boundary layer wind speed, because the mean boundary layer wind speed decreases as the simulation proceeds.The LPDM using LES is capable of accurately simulating fumigation of particles into the convective boundary layer. This technique provides more computationally efficient simulations than Eulerian models.
机译:拉格朗日粒子扩散模型(LPDM)用于研究夹带中和夹带上方的污染物向增长的对流边界层中的熏蒸。从粒子轨迹计算粒子位置随高度和时间的概率密度函数,该轨迹由大涡模拟(LES)模型的分辨尺度速度和随机亚网格尺度(SGS)速度之和驱动。侧风积分浓度(CWIC)场与水箱实验数据显示出良好的一致性。将LPDM输出与基于相同LES流的欧拉扩散模型输出进行比较显示出彼此的定性一致,只是在欧拉模型中出现了更大的地面浓度超调最大值。源表面附近的无量纲CWIC如果剖面是随时间推移的,则夹带区上方的“波峰”会塌陷成几乎是通用的曲线,而这种变化取决于源的高度。位于夹带区内的源的无量纲CWIC显示不同的行为。因此,从夹带区上方和夹带区内进行的熏蒸应分开处理。泰勒翻译假设在熏蒸过程中的应用研究表明,使用平均边界层风速作为时间的函数而不是初始平均边界层风速的重要性,因为随着模拟的进行,平均边界层风速会降低使用LES的LPDM能够准确地模拟粒子向对流边界层的熏蒸。该技术提供了比欧拉模型更有效的计算模拟。

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