Air quality models mathematically and numerically simulate the physical and chemical processes, based on inputs of meteorological data and source information like emission rates and stack height that affect air pollutants as they disperse. Air quality models are used during the environmental clearance process to verify that a new source will not exceed ambient air quality standards and determine appropriate control requirements.
