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A Comparison Of Lagrangian Dispersion Models Coupled To A Meteorological Model For High Stack Air Pollution Forecast


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E. Penabad, V. Perez-Muñuzuri, J.A. Souto, J.J. Casares, J.L. Bermudez & F.L. Ludwig


A comparison of Lagrangian dispersion models coupled to a meteorological model for high stack air pollution forecast E. Penabad1, V. Perez-Munuzuri1, J.A. Souto2, J.J. Casares2, J.L. Bermudez3 & F.L. Ludwig4 1Group of Non-Linear Physics, University of Santiago de Compostela, Spain. 2 Dept. of Chemical Engineering, University of Santiago de Compostela, Spain. 3 As Pontes Power Plant, Endesa, Spain 4 Dept. of Civil and Environmental Engineering, Stanford University, USA Abstract Since 1994, operational air pollution forecast is routinely applied at the As Pontes coal-fired power plant, with a 350-m stack, in order to prevent local fumigation episodes. Over the last ten years, several improvements in the numerical models were done, to obtain more accurate air pollution forecasts on a daily basis. In this work, a comparison of the results obtained for different periods, using two different lagrangian dispersion models, Adaptive Puff Model 2 (APM2) and Lagrangian Particle Model (LPM), is presented. Both models, in different ways, were coupled to the same non-hydrostatic meteorological prediction model, Advanced Regional Prediction System (ARPS) adapted to this environment. From the results obtained, it can be seen that both models can reproduce the location of the main plume impacts measured in the area. However, LPM impacts are usually farther and shorter in time than APM2 impacts, in agreement with field data.