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Related Experiment Video

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Lab-Scale Model to Evaluate Odor and Gas Concentrations Emitted by Deep Bedded Pack Manure

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Study on gas diffusion emitted from different height of point source.

Mohamed F Yassin¹

¹Department of Environmental Technology and Management, College for Women, Kuwait University, PO Box 5969, Safat 13060, Kuwait. mohamed_f_yassin@hotmail.com

Environmental Monitoring and Assessment

|March 1, 2008

Summary

Computational fluid dynamics (CFD) models accurately simulated urban atmospheric dispersion of stack gas near obstacles. Obstacles reduced turbulent velocity, with maximum pollutant dispersion occurring in the wake region.

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The Diffusion of Passive Tracers in Laminar Shear Flow

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Area of Science:

Environmental Engineering
Atmospheric Science
Computational Fluid Dynamics

Background:

Urban environments present complex airflow patterns affecting pollutant dispersion.
Elevated point sources, like industrial stacks, release gaseous pollutants into the atmosphere.
Understanding pollutant dispersal is crucial for urban air quality management.

Purpose of the Study:

To investigate the flow and dispersion of stack gas around obstacles in an urban setting.
To evaluate the accuracy of computational fluid dynamics (CFD) models against experimental data.
To analyze the impact of flow obstacles on pollutant dispersion patterns.

Main Methods:

Utilized computational fluid dynamics (CFD) models based on Reynolds-Average Navier-Stokes (RANS) equations.
Employed standard kappa-epsilon and RNG kappa-epsilon turbulence models for simulations.
Validated CFD results using experimental data from a diffusion wind tunnel under various thermal stability conditions.

Main Results:

CFD model predictions showed good agreement with wind tunnel experimental results.
Flow obstacles were found to reduce turbulent velocity in the urban boundary layer.
Maximum gaseous pollutant dispersion was observed in the wake regions behind the obstacles.

Conclusions:

CFD modeling is a reliable tool for predicting pollutant dispersion in urban areas with obstacles.
Flow obstacles significantly influence local atmospheric dispersion patterns.
The study provides valuable insights for urban planning and air pollution control strategies.