Most AQMs are based on one set of mass-conservation equations that can mathematically describe the formation, transmission, and fate of pollutants in the atmosphere. The equation, also called governing equation, usually include emission, meteorology, transportation, deposition, transformation, and chemical reaction processes. The governing equation is usually established with Eulerian approach (fixed coordinate for space), it is also called the Eulerian Grid Model. Unfortunately, this equation is too difficult to solve analytically. Instead, it is usually solved numerically, and by dividing the real-world atmosphere into smaller meshes or grids (including horizontal and vertical grids). By assuming the physical and chemical properties in each grid are homogeneous, the governing equation could be solved numerically for each grid. In this way, the distribution of air pollutant could be obtained within the calculation domain. The Eulerian grid models are usually solved directly with less assumption, therefore a lot of data and information in each grid, including pollutant emissions, meteorology, terrain, land use, solar radiation, and so on, are also necessary to conduct the simulation. The demand for computer resources is much greater than other types of AQMs.
Large Eulerian Grid Models are usually designed and developed to simulate the “real” atmosphere. Therefore, most applications are regional and urban scale air quality issues, including: