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CFD model for large hazardous dense cloud spread predictions, with particular reference to Bhopal disaster

机译:用于大型危险致密云扩散预测的CFD模型,尤其是对博帕尔灾难的参考

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A volumetric source based CFD (Computational Fluid Dynamics) model for estimating the wind and gravity driven spread of an elevated released dense hazardous cloud on a flat terrain without and with obstacles is demonstrated. The model considers the development of a worst-case scenario similar to that occurred at Bhopal. Fully developed clouds of a dense gas having different densities, under ABL (Atmospheric Boundary Layer) with calm ground wind conditions are first obtained. These clouds are then allowed to spread under ABL with different ground wind speeds and gravity conditions. The developed model is validated by performing the grid independent study, the fluid dynamical evidences, post-disaster facts, the downwind MIC (Methyl Isocynate) concentrations estimated by earlier models and experiments on dense plume trajectories. It is shown that in case of an active dispersion under calm wind conditions the lateral spread would prevail over the downwind spread. The presence of a dense medium behaves like a weak porous media and initiates turbulence at much smaller downwind distances than that normally would occur without the dense medium. The safety distances from toxic exposures of MIC are predicted by specifying an isosurface of a minimum concentration above the ground surface. Discrepancies in near-field predictions still exist. However, the far-field predictions agree well with data published before. (C) 2015 Elsevier Ltd. All rights reserved.
机译:演示了基于体积源的CFD(计算流体动力学)模型,该模型用于估计在没有障碍物和有障碍物的平坦地形上,风和重力驱动的升高释放的致密危险云的传播。该模型考虑了与博帕尔类似的最坏情况的发展。首先在地面风平稳的情况下,在ABL(大气边界层)下,获得了具有不同密度的浓密气体的完全展开的云。然后允许这些云以不同的地面风速和重力条件在ABL下传播。通过执行独立于网格的研究,流体动力学证据,灾后事实,早期模型估算的顺风MIC(异辛酸甲酯)浓度以及对密集羽流轨迹的实验,可以验证所开发模型的有效性。结果表明,在顺风条件下主动弥散的情况下,侧向展布将优先于顺风展布。稠密介质的存在就像薄弱的多孔介质一样,并且在顺风距离处比在没有稠密介质的情况下通常会发生的湍流引发湍流。通过指定地面以上最低浓度的等值面,可以预测与MIC的有毒暴露之间的安全距离。近场预测中的差异仍然存在。但是,远场预测与之前发布的数据非常吻合。 (C)2015 Elsevier Ltd.保留所有权利。

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