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Modeling dispersion at distances of meters from urban sources

机译:在离城市源一米的距离处建模弥散

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This paper describes the evaluation and improvement of dispersion models for estimating ground-level concentrations in the vicinity of small sources located in urban areas. The models were evaluated with observations from a tracer study conducted at the University of California, Riverside. This experiment simulated a non-buoyant release from the top of a small source in an urban area. The tracer, SF6, Was sampled at several receptors within 20 m from the source. Several receptors were located upwind of the dominant westerly wind direction. Model estimates from ISC-PRIME and AERMOD-PRIME were evaluated with hourly observed concentrations. The evaluation indicated that the highest concentrations were overestimated by these models. At the same time, the lower range of concentrations was underestimated. A diagnostic study with a simple Gaussian dispersion model that incorporated site specific meteorology indicated that these errors could be reduced by accounting for the lateral meandering caused by increased horizontal turbulence in urban areas. While AERMOD incorporates lateral meandering, it switches it off in the near field affected by PRIME estimates. This study found that using onsite turbulence information in a simple model for meandering can lead to adequate estimates of observed concentrations even when downwash effects are not modeled explicitly. (C) 2004 Elsevier Ltd. All rights reserved.
机译:本文介绍了用于估计城市中小排放源附近地面浓度的色散模型的评估和改进。通过在加利福尼亚大学河滨分校进行的示踪研究得出的观察结果对模型进行了评估。该实验模拟了市区小源顶部的非浮力释放。示踪剂SF6在距震源20 m以内的几个受体处取样。几个受体位于主导的西风向的上风。使用每小时观察到的浓度评估来自ISC-PRIME和AERMOD-PRIME的模型估计值。评估表明,这些模型高估了最高浓度。同时,低浓度范围被低估了。使用简单的高斯频散模型进行的诊断研究结合了特定地点的气象,表明可以通过考虑由城市水平湍流增加引起的横向弯曲来减少这些误差。尽管AERMOD包含横向弯曲,但它会在受到PRIME估计影响的近场中将其关闭。这项研究发现,即使未明确建模冲洗效果,在简单的模型中使用现场湍流信息进行曲折也可以对观察到的浓度进行足够的估计。 (C)2004 Elsevier Ltd.保留所有权利。

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