Author(s)

IGNACIO J. TURIAS, JOSÉ M. JEREZ, LEONARDO FRANCO, HÉCTOR MESA, JUAN J. RUIZ-AGUILAR, JOSÉ A. MOSCOSO, MARÍA J. JIMÉNEZ-COME

Abstract

This study proposes a two-stage procedure to better predict carbon monoxide (CO) concentrations in the Bay of Algeciras (Spain). In the first stage, a multiple regression model was employed to predict CO concentrations in different monitoring stations using historical data. In the second stage, a new regression scheme was used to forecast the CO concentrations using historical data together with weather forecasts. The experiment shows that two-stage models outperform the single models in the CO concentrations forecasting. The application of the proposed technique may become a supporting tool for the prediction of the values of CO concentrations in complex scenarios such as Bay of Algeciras (Spain).

Keywords

forecasting, air pollution, regression models, resampling procedure