Prof. Darko Koracin: Modeling of Atmospheric Pollution - Use of Forward and Inverse Lagrangian Simulations

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Povzetek: 

   Prof. Darko Koracin, Desert Research Institute & University of Nevada, Reno, U.S.A   

   Modeling of Atmospheric Pollution - Use of Forward and Inverse Lagrangian Simulations

Two methods of using a Lagrangian random particle dispersion model in air quality simulations will be presented: a source-oriented forward mode (from emission sources to receptors), and a receptor-oriented inverse mode (from receptors to most probable sources).  For the purpose of source-oriented modeling, a hybrid Lagrangian dispersion and Eulerian chemistry were coupled to study the effects of ozone in a coastal region.  This hybrid model allowed for the treatment of air parcels from numerous sources and reproduced their non-linear chemical evolution. For the purpose of receptor-oriented modeling, the Lagrangian random particle model was adapted to be run in an inverse mode to determine the most probable sources impacting particular receptors.  This inverse modeling improved source location estimates of the backtrajectory analysis and standard receptor models.