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Article

Functional Location-Scale Model to Forecast Bivariate Pollution Episodes

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Department of Statistics, Mathematical Analysis and Optimization, Universidad de Santiago de Compostela, 15782 Santiago de Compostela, Spain
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Department of Mining Exploitation and Propsecting, Universidad de Oviedo, Escuela Politécnica de Mieres, 33600 Mieres, Spain
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Department of Statistics and Operation Research, Universidad de Vigo, 36310 Vigo, Spain
*
Author to whom correspondence should be addressed.
Mathematics 2020, 8(6), 941; https://doi.org/10.3390/math8060941
Received: 7 May 2020 / Revised: 28 May 2020 / Accepted: 29 May 2020 / Published: 8 June 2020
(This article belongs to the Special Issue Functional Statistics: Outliers Detection and Quality Control)
Predicting anomalous emission of pollutants into the atmosphere well in advance is crucial for industries emitting such elements, since it allows them to take corrective measures aimed to avoid such emissions and their consequences. In this work, we propose a functional location-scale model to predict in advance pollution episodes where two pollutants are involved. Functional generalized additive models (FGAMs) are used to estimate the means and variances of the model, as well as the correlation between both pollutants. The method not only forecasts the concentrations of both pollutants, it also estimates an uncertainty region where the concentrations of both pollutants should be located, given a specific level of uncertainty. The performance of the model was evaluated using real data of SO 2 and NO x emissions from a coal-fired power station, obtaining good results. View Full-Text
Keywords: pollution episodes; functional data; bivariate analysis; uncertainty region; generalized additive models pollution episodes; functional data; bivariate analysis; uncertainty region; generalized additive models
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MDPI and ACS Style

Oviedo-de La Fuente, M.; Ordóñez, C.; Roca-Pardiñas, J. Functional Location-Scale Model to Forecast Bivariate Pollution Episodes. Mathematics 2020, 8, 941. https://doi.org/10.3390/math8060941

AMA Style

Oviedo-de La Fuente M, Ordóñez C, Roca-Pardiñas J. Functional Location-Scale Model to Forecast Bivariate Pollution Episodes. Mathematics. 2020; 8(6):941. https://doi.org/10.3390/math8060941

Chicago/Turabian Style

Oviedo-de La Fuente, Manuel, Celestino Ordóñez, and Javier Roca-Pardiñas. 2020. "Functional Location-Scale Model to Forecast Bivariate Pollution Episodes" Mathematics 8, no. 6: 941. https://doi.org/10.3390/math8060941

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