Again this is a case for the kernel-based convolution approach. This is an example of a simple dynamic model, still based on a Gaussian approach, using however a 3D terrain correction and a 3D wind field. The multi-puff model simulates a sequence of discrete releases from a dynamic source, which it then traces and integrates over the model area. The result produced is a GIS animation. The monitoring data providing the intial conditions for the models, but also used to compare and possibly calibrate model results with the observations, and in their own right to monitor compliiance with air quality limit values, are analysed with an auxiliary tool.
Analysis includes spatial interpolation with alternative algorithms.
The latter four parameters are used to estimate, with various formulas, the plume rise or virtual stack height, due to momentum and buoancy of the emissions. For model formulations that consider wet scavaging, precipitation data are also required.