  A computational fluid dynamics (CFD) model that solves the steady-state
Reynolds-Averaged Navier-Stokes (RANS) equations for buoyant compressible
pollution dispersion under different meteorological conditions is developed. A
6.4 km by 6.4 km computational domain over a complex terrain with a height of 1
km above the ground surface is created. Meteorological data from multiple
available sources are utilized to obtain boundary conditions of wind speed, air
temperature, turbulent kinetic energy (TKE), and its dissipation rate. To
evaluate the model, a monitoring network of four anemometers is deployed. Model
predictions are compared with measurements of wind speed and the concentration
of SO2 emitted by a local coke plant. Comparisons show that the predicted wind
speeds are reasonably close to the measured mean wind speeds and the average
error is within 10 percent at one location where relative fast wind speeds are
recorded. The CFD model also predicts the correct trend of varying wind speeds
across multiple sites of different elevations. The model also provides good
predictions of SO2 concentrations for multiple cases, considering the complex
nature of the terrain and meteorological conditions.
