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Assessment of a CFD model for short-range plume dispersion: Applications to the Fusion Field Trial 2007 (FFT-07) diffusion experiment

机译:评估短距离羽流弥散的CFD模型:在Fusion Field Trial 2007(FFT-07)扩散实验中的应用

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摘要

Simulations of the short-range plume dispersion under different atmospheric conditions can provide essential information for the development of source reconstruction methodologies that allows to retrieve the location and intensity of an unknown hazardous pollutant source. This process required a comprehensive assessment of the atmospheric dispersion models with tracer diffusion experiments in various stability conditions. In this study, a comprehensive evaluation of a CFD model fluidyn-PANACHE is performed with the observations from available seven trials of single releases conducted in the Fusion Field Trail 2007 (FFT-07) tracer experiment. The CFD simulations are performed for each trial and it was observed that the CFD model fluidyn-PANACHE provides good agreement of the predicted concentrations with the observations in both stable and convective atmospheric conditions. A comprehensive analysis of the simulated results is performed by computing the statistical performance measures for the dispersion model evaluation. The CFD model predicts 65.4% of the overall concentration points within a factor of two to the observations. It was observed that the CFD model is predicting better in convective stability conditions in comparison to the trials conducted in stable stability. In convective conditions, 74.6% points were predicted within a factor of two to the observations which are higher than 59.3% concentration points predicted within a factor of two in the trials in stable atmospheric conditions.
机译:在不同大气条件下对短距离羽流扩散的模拟可以为源重构方法的发展提供重要信息,该方法允许检索未知危险污染物源的位置和强度。此过程需要在各种稳定性条件下通过示踪扩散实验对大气扩散模型进行全面评估。在这项研究中,通过在Fusion Field Trail 2007(FFT-07)示踪剂实验中进行的七个单次释放试验的观察结果,对CFD模型Fluidyn-PANACHE进行了全面评估。在每个试验中均进行了CFD模拟,并观察到CFD模型Fluidyn-PANACHE在稳定和对流的大气条件下均提供了与预期浓度很好的一致。通过计算用于色散模型评估的统计性能指标,可以对模拟结果进行全面分析。 CFD模型预测在观测值的两倍之内,总集中点的65.4%。据观察,与在稳定条件下进行的试验相比,CFD模型在对流稳定性条件下的预测更好。在对流条件下,观测值在2倍以内的预测点为74.6%,高于在稳定大气条件下试验中2倍以内预测的59.3%的浓度点。

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