Statement of problem Street canyon 2 Mathematical statement of - - PowerPoint PPT Presentation
Statement of problem Street canyon 2 Mathematical statement of - - PowerPoint PPT Presentation
Statement of problem Street canyon 2 Mathematical statement of problem Governing equations Turbulence models k- model of turbulence with Boussinesq closure assumptions (LEVM) Non-linear eddy viscosity model (NLEVM) Reynolds
Statement of problem Street canyon
2
Mathematical statement of problem
Governing equations Turbulence models
3
- k-ε model of turbulence with Boussinesq closure assumptions (LEVM)
- Non-linear eddy viscosity model (NLEVM)
- Reynolds Stress Model (RSM)
Mathematical statement of problem
Urban vegetation parameterization (Kimura et al., 2003) Governing equation Source/Sink term Momentum equation k- equation ε-equation Reynolds stress transport
η = 1 – fraction of area covered by vegetation – drag coefficient а - LAI
Moving traffic parameterization
4
1/c м/c
2D numerical simulation
Model validation Backward facing step (Мосс, 1982)
- experiment
- LEVM
- NLEVM
- RSM
5
2D numerical simulation
Model validation Flow past tree (Kimura et al., 2003)
- experiment
- LEVM
- NLEVM
- RSM
6
2D numerical simulation
Model validation Computation of pollution concentration in street canyon depending on flow direction (Ketzel , 2000)
- experiment
- calculation
7
3D micro-scale model
Inflow boundary conditions
8
Numerical simulation of atmosphere dynamics and traffic induced pollution for real area of Tomsk
3D micro-scale model
Velocity field at z = 1,5 m and volume rendering of pollution concentration
9
Numerical simulation of atmosphere dynamics and traffic induced pollution for real area of Tomsk
Conclusion
1.
Unsteady micro-scale model for airflow and pollution transport modeling is developed. Numerical model is based on modern turbulence closure schemes and takes into account urban vegetation and moving transport influence.
2.
Model evaluation basing on experiments shows that «k- ε» models are enough for urban aerodynamics prediction.
3.
Numerical prediction of airflow and impurity dispersion for real area of city helps to determine the regions of maximum pollution.
10