Resumen de Hourly Air Quality Index (AQI) Forecasting Using Machine Learning Methods

José Antonio Moscoso López, Daniel Urda Muñoz, Francisco Javier González Enrique, Juan Jesús Ruiz Aguilar, Ignacio José Turias Domínguez

• Air Quality Index (AQI) is an index to inform the daily air quality. AQI is a dimensionless quantity to show the state of air pollution simplifying the information of concentrations in μg/m3. Air quality indexes have been established for each of the five pollutants located in an interesting area to study in as Algeciras (Spain). Hourly data of air pollutants, available during 2010–2015, were analysed for the development of the proposed AQI. This work proposes a two-step forecasting approach to obtain future values, eight hours ahead, of AQI using Machine Learning methods. ANN, SVR and LSTM are capable of modelling nonlinear time series and can be trained to accurately generalize when a new database is presented.