Abstract
Atmospheric dispersion considering plume rise was predicted using a Lagrangian particle dispersion model. The governing equations of the model are stochastic differential equations which represent the random motion of a particle. The vertical component of the equations includes an acceleration term due to buoyancy. Lidar observations of plume rise and field tracer experiments were conducted at a power station to examine the validity of the results from the dispersion model. Good agreement was obtained between the dispersion model and the Lidar observation of the plume trajectory. The calculated result of the spread of the plume was slightly larger than the observed one. This is reasonable considering that the former represents the time average while the latter represents the instantaneous value. The dispersion model was applied to the prediction of concentrations in a real terrain and its validity was verified through comparison with the results of the field tracer experiment.
