dc.contributor | Escuela Superior y Tecnica de Ingenieros de Minas | es_ES |
dc.contributor.author | Menéndez García, Luis Alfonso | |
dc.contributor.author | García Nieto, Paulino José | |
dc.contributor.author | García Gonzalo, Esperanza | |
dc.contributor.author | Sánchez Lasheras, Fernando | |
dc.contributor.author | Álvarez de Prado, Laura | |
dc.contributor.author | Bernardo Sánchez, Antonio | |
dc.contributor.other | Ingeniería Cartografica, Geodesica y Fotogrametria | es_ES |
dc.date | 2023 | |
dc.date.accessioned | 2024-03-14T08:22:16Z | |
dc.date.available | 2024-03-14T08:22:16Z | |
dc.identifier.citation | Menéndez García, L. A., García Nieto, P. J., García Gonzalo, E., Sánchez Lasheras, Fernando., Álvarez de Prado, L., & Bernardo Sánchez, A. (2023). Method for the Detection of Functional Outliers Applied to Quality Monitoring Samples in the Vicinity of El Musel Seaport in the Metropolitan Area of Gijón (Northern Spain). Mathematics, 11(12), 2631. https://doi.org/10.3390/MATH11122631 | es_ES |
dc.identifier.uri | https://hdl.handle.net/10612/18931 | |
dc.description.abstract | [EN] Air pollution affects human health and is one of the main problems in the world, including in coastal cities with industrial seaports. In this sense, the city of Gijón (northern Spain) stands out as one of the 20 Spanish cities with the worst air quality. The study aims to identify outliers in air quality observations near the El Musel seaport, resulting from the emissions of six pollutants over an eight-year period (2014–2021). It compares methods based on the functional data analysis (FDA) approach and vector methods to determine the optimal approach for detecting outliers and supporting air quality control. Our approach involves analyzing air pollutant observations as a set of curves rather than vectors. Therefore, in the FDA approach, curves are constructed to provide the best fit to isolated data points, resulting in a collection of continuous functions. These functions capture the behavior of the data in a continuous domain. Two FDA approach methodologies were used here: the functional bagplot and the high-density region (HDR) boxplot. Finally, outlier detection using the FDA approach was found to be more powerful than the vector methods and the functional bagplot method detected more outliers than the HDR boxplot. | es_ES |
dc.language | eng | es_ES |
dc.publisher | MDPI | es_ES |
dc.rights | Atribución 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.subject | Ingeniería de minas | es_ES |
dc.subject.other | Outlier Detection | es_ES |
dc.subject.other | Functional Bagplot | es_ES |
dc.subject.other | Functional High-density Region (HDR) Boxplot | es_ES |
dc.subject.other | Air Pollution | es_ES |
dc.title | Method for the Detection of Functional Outliers Applied to Quality Monitoring Samples in the Vicinity of El Musel Seaport in the Metropolitan Area of Gijón (Northern Spain) | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.identifier.doi | 10.3390/math11122631 | |
dc.description.peerreviewed | SI | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |
dc.identifier.essn | 2227-7390 | |
dc.journal.title | Mathematics | es_ES |
dc.volume.number | 11 | es_ES |
dc.issue.number | 12 | es_ES |
dc.page.initial | 2631 | es_ES |
dc.type.hasVersion | info:eu-repo/semantics/publishedVersion | es_ES |
dc.subject.unesco | 3308.01 Control de la Contaminación Atmosférica | es_ES |
dc.subject.unesco | 3308.04 Ingeniería de la Contaminación | es_ES |
dc.description.project | This research was funded by the Universidad de León (Spain). Funding number: Program 463A.3.01 | es_ES |