[Postdoc] (3年期) Turbulence modelling of atmospheric dispersion

Dr_LuUID: 3988559

Subject
Turbulence modelling of atmospheric dispersion in low wind-speed conditions and in urban environments



Description
The research project is part of the modeling of the atmospheric dispersion of pollutants in complex terrain. Whether one is interested in an industrial site or in an urban environment, the sources of atmospheric pollutants are often located near the ground and are therefore strongly influenced by the presence of obstacles of complex shape. These obstacles generally have a predominant influence on the high concentration levels that can be observed in the near field of the sources. There is therefore an important challenge (particularly in terms of the environment and sustainable development), in the context of impact and hazard studies or crisis management, to have modeling approaches that can describe with precision flow and dispersion processes within the context of presence of complex terrain.

In terms of the impact of pollutants emitted by various installations, the situations of stratified atmospheres in low wind and in complex terrain are the most difficult to apprehend. The review of meteorological data for a given site is an important criterion for highlighting the frequency and intensity of such conditions. To understand these complex situations - out of reach of the Gaussian tools - the implementation of a CFD code (Computational Fluid Dynamics) is necessary: the Code_Saturne (Developed since 1997 at EDF R&D, Electricité de France) has already been used successfully to simulate the dispersion of atmospheric pollutants and proves to be so a very good candidate for this research project.

Skills required
In addition to a PhD in a relevant atmospheric science or engineering field, candidates should possess the following skills and training or a demonstrated ability to fill in gaps in their background on the fly:

1. Strong Computational Fluid Dynamics (CFD) experience with demonstrated skills in code creation compatible with weather forecast models.

2. Knowledge of experience in anisotropic turbulence modeling and atmospheric dispersion.

3. Strong public speaking and writing skills, demonstrated by a record of conference presentations and public seminars and creation of refereed conference or journal papers.

Bibliography
Ngae P., Kouichi H., Kumar P., Feiz A.A., Chpoun A. (2019) Optimization of an urban monitoring network for emergency response applications: An approach for characterizing the source of hazardous releases, 145, 720, 967-981, doi.org/10.1002/qj.3471. Kouichi H., Ngae P., Kumar P., Feiz A.A., Bekka N. (2019) An optimization for reducing the size of an existing urban-like monitoring network for retrieving an unknown point source emission, Geoscientific Model Development, 12, 8, 3687-3705, 10.5194/gmd-12-3687-2019. Kumar, P., Singh S. K., Ngae P., Feiz A.A. (2017) Assessment of a CFD model for short-range plume dispersion: Applications to the Fusion Field Trial 2007 (FFT-07) diffusion experiment, Atmospheric Research 197, 84-93. Kumar, P., Feiz A. A. (2016) Performance analysis of an air quality CFD model in complex environments: Numerical simulation and experimental validation with EMU observations, Building and Environment 108, 30-46. Kumar, P., Singh S. K., Feiz A. A., Ngae P. (2016) An urban scale inverse modelling for retrieving unknown elevated emissions with building-resolving simulations, Atmospheric environment 140, 135-146.

Keywords
Atmospheric dispersion, CFD Model Code_Saturne (EDF), Anisotropic turbulence models, URANS, Low wind, Stable condition, Complex medium, Mesoscale models

Funded offer
Funding type : Contrat de recherche
Funding amount : 2500

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