The researcher is working on an AI-based tool that can predict episodes of pollution at an urban scale and support public decision-making
Ana del Águila, a researcher at theAndalusian Institute for Earth System Research and the Department of Applied Physics at the University of Granada, has developed an artificial intelligence-based model that can predict urban air quality up to three days in advance. The researcher holds a Leonardo Grant in Basic Sciences (Physics), funded by the BBVA Foundation. The aim of the work is to assess the ability of artificial intelligence to predict changes in the air quality index in urban environments.
The model focuses on predicting the air quality index, one of the main mechanisms used to monitor air pollution. As del Águila explains, this index “classifies air quality by colour: good, in blue; reasonably good, in green; fair, in yellow; poor, in red; very poor, in maroon; and, finally, extremely poor, in purple”.