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<p>To effectively respond and evaluate the risks in the situation of industrial accidents or chronic pollutant releases, validation studies about the near-field atmospheric dispersion simulation and relevant uncertainties are essential. This study is focused on the evaluation of an atmospheric simulation tool against a full-scale atmospheric tracer near-field experiment using helium as a passive tracer. The simulation tool SLAM (Safety Lagrangian Atmospheric Model), used in this work, is based on a Lagrangian stochastic particles dispersion model, coupled with a wind and turbulence field database computed from the CFD code, ANSYS Fluent. In this study, 19 trials of measurements involving various meteorological conditions are included in the simulation. A series of statistical and graphical indicators are used to perform the comparison of simulations and measurements. Results indicate that SLAM aligns more closely with measurements under slightly unstable meteorological conditions. Specifically, in the stable or mildly unstable meteorological conditions, SLAM’s simulations fall within a factor of two of the actual tracer concentrations (<InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(\:FAC2\)</EquationSource> </InlineEquation>) in 52% of cases. This contrasts with a 38% ratio under unstable meteorological conditions. By a series of Sobol sensitivity analyses, it is found that the wind speed and wind direction are two dominant factors affecting the near-field atmospheric dispersion. Adjusting these parameters within observed mean and standard deviation ranges enables all the tested cases, to be within a factor of two of the measurements (<InlineEquation ID="IEq2"> <EquationSource Format="TEX">\(\:FAC2\)</EquationSource> </InlineEquation>). This study, therefore, confirms the SLAM simulation tool’s capability in accurately predicting near-field atmospheric dispersion.</p>

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Near-field atmospheric dispersion simulation and global sensitivity analysis: comparisons to a full-scale atmospheric tracer experiment in a peri-urban area

  • 期刊论文

  • 发表日期：

    2025年7月22日

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  • Songzhi Yang,
  • Irène Korsakissok,
  • Erwan Rondeaux,
  • Perrine Charvolin-Volta

摘要

To effectively respond and evaluate the risks in the situation of industrial accidents or chronic pollutant releases, validation studies about the near-field atmospheric dispersion simulation and relevant uncertainties are essential. This study is focused on the evaluation of an atmospheric simulation tool against a full-scale atmospheric tracer near-field experiment using helium as a passive tracer. The simulation tool SLAM (Safety Lagrangian Atmospheric Model), used in this work, is based on a Lagrangian stochastic particles dispersion model, coupled with a wind and turbulence field database computed from the CFD code, ANSYS Fluent. In this study, 19 trials of measurements involving various meteorological conditions are included in the simulation. A series of statistical and graphical indicators are used to perform the comparison of simulations and measurements. Results indicate that SLAM aligns more closely with measurements under slightly unstable meteorological conditions. Specifically, in the stable or mildly unstable meteorological conditions, SLAM’s simulations fall within a factor of two of the actual tracer concentrations ( \(\:FAC2\) ) in 52% of cases. This contrasts with a 38% ratio under unstable meteorological conditions. By a series of Sobol sensitivity analyses, it is found that the wind speed and wind direction are two dominant factors affecting the near-field atmospheric dispersion. Adjusting these parameters within observed mean and standard deviation ranges enables all the tested cases, to be within a factor of two of the measurements ( \(\:FAC2\) ). This study, therefore, confirms the SLAM simulation tool’s capability in accurately predicting near-field atmospheric dispersion.