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Published on: July 30, 2020
Simulations of dispersion through an irregular urban building array
Michael Pirhalla1,2, David Heist3, Steven Perry3
1US EPA ORD/CESER/HSMMD/DCB, 109 T.W. Alexander Dr., MD E343-06, Research Triangle Park, NC, USA.
Urban building structures significantly impact pollutant dispersion, causing plume channeling and drift. This study used wind tunnel and Embedded Large Eddy Simulation (ELES) to analyze tracer concentrations, refining dispersion models for urban environments.
Area of Science:
- Environmental Science
- Atmospheric Science
- Computational Fluid Dynamics
Background:
- Urban environments present complex flow regimes affecting pollutant dispersion.
- Existing fast-response dispersion models require refinement for urban complexities like plume channeling and spreading.
- Accurate modeling of releases in nonhomogeneous urban structures is crucial for public safety.
Purpose of the Study:
- To examine tracer concentrations and plume behavior in a mock urban setting.
- To compare wind tunnel experiments with Embedded Large Eddy Simulation (ELES) for microscale dispersion effects.
- To evaluate the applicability and limitations of Gaussian plume models, like AERMOD, in urban areas.
Main Methods:
- Conducted wind tunnel experiments using a full-scale mock urban building configuration.
- Employed Embedded Large Eddy Simulation (ELES) to model tracer dispersion.
- Utilized AERMOD to assess fast-running Gaussian dispersion model performance in urban scenarios.
Main Results:
- Wind tunnel and ELES showed excellent agreement in representing plume concentration profiles.
- Initial plume dispersion was heavily influenced by adjacent structures, leading to rapid near-surface spread.
- ELES revealed significant off-axis plume channeling (5-14°) at ground level with oblique wind directions.
- AERMOD qualitatively represented ground-level plumes but underestimated peak concentrations and struggled in the near-field.
- Incorporating ELES turbulence data into AERMOD improved lateral spread and centerline concentration estimates.
Conclusions:
- Gaussian plume models can represent urban concentration profiles but require careful parameterization.
- Building structures significantly alter plume behavior, causing channeling and drift, especially with oblique winds.
- ELES provides valuable data for improving the accuracy of urban dispersion models.
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