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dc.contributor.author | Oviedo de la Fuente, Manuel |
dc.contributor.author | Ordóñez, Celestino |
dc.contributor.author | Roca Pardiñas, Javier |
dc.date.accessioned | 2020-11-10T11:09:24Z |
dc.date.available | 2020-11-10T11:09:24Z |
dc.date.issued | 2020 |
dc.identifier.citation | Oviedo-de La Fuente, M.; Ordóñez, C.; Roca-Pardiñas, J. Functional Location-Scale Model to Forecast Bivariate Pollution Episodes. Mathematics 2020, 8, 941 |
dc.identifier.uri | http://hdl.handle.net/10347/23639 |
dc.description.abstract | 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 |
dc.description.sponsorship | The authors acknowledge financial support from: (1) UO-Proyecto Uni-Ovi (PAPI-18-GR-2014-0014), (2) Project MTM2016-76969-P from Ministerio de Economía y Competitividad—Agencia Estatal de Investigación and European Regional Development Fund (ERDF) and IAP network StUDyS from Belgian Science Policy, (3) Nuevos avances metodológicos y computacionales en estadística no-paramétrica y semiparamétrica—Ministerio de Ciencia e Investigación (MTM2017-89422-P) |
dc.language.iso | eng |
dc.publisher | MDPI |
dc.rights | © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/) |
dc.rights | Atribución 4.0 Internacional |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ |
dc.subject | Pollution episodes |
dc.subject | Functional data |
dc.subject | Bivariate analysis |
dc.subject | Uncertainty region |
dc.subject | Generalized additive models |
dc.title | Functional Location-Scale Model to Forecast Bivariate Pollution Episodes |
dc.type | journal article |
dc.identifier.doi | 10.3390/math8060941 |
dc.relation.publisherversion | https://doi.org/10.3390/math8060941 |
dc.type.hasVersion | VoR |
dc.identifier.essn | 2227-7390 |
dc.rights.accessRights | open access |
dc.contributor.affiliation | Universidade de Santiago de Compostela. Departamento de Estatística, Análise Matemática e Optimización |
dc.description.peerreviewed | SI |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/MTM2016-76969-P/ES |
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