RT journal article
T1 Prediction of carbon monoxide (CO) atmospheric pollution concentrations using meterological variables
A1 Turias Domínguez, Ignacio José
A1 Jerez, José M.
A1 Franco, Leonardo
A1 Mesa Jiménez, Héctor
A1 Ruiz Águilar, Juan Jesús
A1 Moscoso López, José Antonio
A1 Jiménez Come, María Jesús
A2 Ingeniería Industrial e Ingeniería Civil
A2 Ingeniería Informática
K1 forecasting
K1 air pollution
K1 regression models
K1 resampling procedure
AB 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).
PB WITPress
SN 1743-3541
YR 2017
FD 2017
LK http://hdl.handle.net/10498/36618
UL http://hdl.handle.net/10498/36618
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 10-may-2026