Eulerian and Lagrangian Approaches for Modelling of Air Quality

Abstract

Simulation of the dispersion, chemical and physical transformations of air pollutants in the atmosphere is one of the most important and challenging tasks in environment science. Computations should be fast and the results should be precise to be used in decision support. There are two main approaches to solve atmospheric transport equations that describe the spatiotemporal variation of the concentrations of the air pollutants. These are Eulerian and Lagrangian models, and usually both models can be used in simulations. However, there are some cases where one of them can perform better than the other one. An appropriate choice and usage of a proper approach should be crucial to obtain sufficiently accurate results in a cost-efficient way.