What factor does the Pasquill-Gifford model predict influences COTA concentration?

The Pasquill-Gifford model, which is used to estimate atmospheric dispersion of pollutants, primarily emphasizes the influence of the airborne mass release rate on the concentration of a contaminant in the atmosphere. This model provides a framework for understanding how the amount of pollutant released into the air interacts with various atmospheric conditions to determine how far and how concentrated the contaminant will become as it disperses.

While wind direction, height of the plume, and surrounding vegetation may influence dispersion patterns, the release rate is central to determining the initial concentration of the pollutant. A higher mass release rate would typically lead to higher concentrations, especially in the immediate vicinity of the release source, before dispersion occurs. This direct relationship with the concentration makes the airborne mass release rate a critical factor in predicting COTA (Concentration of Airborne Transfer of pollutants) concentration according to the Pasquill-Gifford model.

In summary, the airborne mass release rate is fundamental in this context, as it sets the stage for how airborne pollutants will behave once they enter the atmosphere, leading to variations in concentration based on the amount released.