%0 Journal Article 
%A Turias Domínguez, Ignacio José
%A Jerez, José M.
%A Franco, Leonardo
%A Mesa Jiménez, Héctor
%A Ruiz Águilar, Juan Jesús
%A Moscoso López, José Antonio
%A Jiménez Come, María Jesús
%T Prediction of carbon monoxide (CO) atmospheric pollution concentrations using meterological variables
%D 2017
%@ 1743-3541

%U http://hdl.handle.net/10498/36618
%X 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).
%K forecasting
%K air pollution
%K regression models
%K resampling procedure
%~ Universidad de Cádiz