New model provides improved air-quality predictions in fire-prone areas

Penn State researchers have developed a deep-learning model that provides improved predictions of air quality in wildfire-prone areas.

Wildfire smoke contains a combination of particulate matter and many gaseous pollutants.

The new model, called ST-Transformer, uses a novel framework that can determine trends associated with wildfires.