By combining basic meteorological information (wind, temperature, humidity, pressure) with a configurable map area and time window, the model simulates how different pollutants move, disperse, and concentrate throughout the day. It does not require a network of air quality sensors. Instead, it generates pollution estimates for the entire urban and peri-urban area using atmospheric physics and chemistry.

The result is a set of concentration maps for key pollutants (including CO, NO, NO₂, O₃, SO₂, PM₁₀, and PM₂.₅) displayed on the city map through the EU LDT Play & Visualise tool. These maps show where air quality may worsen under different conditions, helping municipalities identify potential risk zones and explore how weather patterns influence local pollution levels.

This enables cities to move from sparse, sensor-dependent monitoring to a comprehensive, simulated picture of air quality across the entire territory, supporting more informed decisions on zoning, traffic management, and public health protection.