TL;DR: A review of the application of atmospheric models for particle dispersion can be found in this article, where the suitability of the different approaches to dispersion modelling within different environments, in regards to scale, complexity of the environment and concentration parameters is assessed.
TL;DR: In this paper, the authors apply the CALPUFF atmospheric dispersion model with meteorological data derived from NOAA's Rapid Update Cycle model to a set of nine power plants in Illinois to evaluate primary and secondary particulate matter impacts across a grid in the Midwest.
TL;DR: In this paper, the performance of the steady-state air dispersion models AERMOD and Industrial Source Complex 2 (ISC2), and Lagrangian puff models CALPUFF and RATCHET were evaluated using the Winter Validation Tracer Study dataset.
TL;DR: In this article, a case study demonstrated how the intake fraction of power plant emissions in China can be calculated using a detailed long-range atmospheric dispersion model, which is applicable to a developing country and it provides reasonable population exposure estimates.
TL;DR: Onsite meteorological data are shown to be crucial for reliable dispersion calculations in complex terrain and AERMOD predictions were in a better agreement with the measurements than those obtained by CALPUFF.