Air Pollutant Dispersion Simulations

Learning Outcomes: : 

• Knowledge of air pollution simulation tools context
• Knowledge of air dispersion processes
• Knowledge of the combined mesoscale meteorology – dispersion processes
• Use of air dispersion modelling
• Apply air dispersion modelling to predict pollutant concentrations

General Skills: 

• Develop skills in implementing air dispersion modelling tools
• Develop skills in analysing the extracted simulation data
• Environmental risk assessment and protection

Course Content:

1. Atmospheric forces, cycle and structure
2. Atmospheric stability, flows and layer
3. Simulation tools of air pollutant dispersion (meteorological and chemical reactions)
4. Approximation methods
5. Gauss model
6. Apply Gauss or mesoscale model
7. Sensitivity analysis, validation and errors
8. Software The Air Pollution Model, ISCST3, Excel, Surfer
9. Sources and data input
10. Implementation of air pollutant dispersion software (point and linear sources)
11. Implementation of air pollutant dispersion software (point and linear sources)
12. Implementation of air pollutant dispersion software (point and linear sources)
13. Application of weather and pollutant dispersion simulation

Suggested Bibliography:

• Atmospheric Pollution S. Rapsomanikis, Free source in e- class.
• Turbulence and diffusion in the Atmosphere, Springer, by Alfred Blackadar.
• Tutor class material.