@misc{10498/36618,
year = {2017},
url = {http://hdl.handle.net/10498/36618},
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).},
publisher = {WITPress},
keywords = {forecasting},
keywords = {air pollution},
keywords = {regression models},
keywords = {resampling procedure},
title = {Prediction of carbon monoxide (CO) atmospheric pollution concentrations using meterological variables},
doi = {10.2495/AIR170141},
author = {Turias Domínguez, Ignacio José and Jerez, José M. and Franco, Leonardo and Mesa Jiménez, Héctor and Ruiz Águilar, Juan Jesús and Moscoso López, José Antonio and Jiménez Come, María Jesús},
}