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Communication Dans Un Congrès Année : 2014

Applications of a cfd model for short-range pollutant dispersion and source reconstruction in an urban environment

Résumé

Dispersion of air pollutants in an urban environment is a challenging problem due to the complexity in interaction of plume and flow field perturbed by the obstacles. The increasing threat of chemical, biological and radiological (CBR) attacks in urban areas has also resulted a significant interest in research on fast identification and detection of these toxic agents. In this study, a computational fluid dynamics (CFD) model is utilized to evaluate the Mock Urban Setting Test (MUST) field tracer experiment that provide a simplified urban-like area. A statistical analysis was performed to compare the concentrations from CFD model simulations with the experimental measurements. Further, the model has been coupled in adjoint mode with a recently proposed inversion technique, based on renormalization theory, for identifying a point source release in an urban like environment of MUST field experiment. The study highlights the detection feasibility of unknown releases in an urban-like environment with a use of more sophisticated model.
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Dates et versions

hal-01178962 , version 1 (21-07-2015)

Identifiants

  • HAL Id : hal-01178962 , version 1

Citer

Pramod Kumar, Amir Ali Feiz, Pierre Ngae, Emerson Barbosa, Grégory Turbelin, et al.. Applications of a cfd model for short-range pollutant dispersion and source reconstruction in an urban environment. 16th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes (HARMO 2014), Sep 2014, Varna, Bulgaria. pp.524--528. ⟨hal-01178962⟩

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