RT info:eu-repo/semantics/article
T1 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)
A1 Menéndez García, Luis Alfonso
A1 García Nieto, Paulino José
A1 García Gonzalo, Esperanza
A1 Sánchez Lasheras, Fernando
A1 Álvarez de Prado, Laura
A1 Bernardo Sánchez, Antonio
A2 Ingeniería CartograficaGeodesica y Fotogrametria
K1 Ingeniería de minas
K1 Outlier Detection
K1 Functional Bagplot
K1 Functional High-density Region (HDR) Boxplot
K1 Air Pollution
K1 3308.01 Control de la Contaminación Atmosférica
K1 3308.04 Ingeniería de la Contaminación
AB [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.
PB MDPI
LK https://hdl.handle.net/10612/18931
UL https://hdl.handle.net/10612/18931
NO 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
DS BULERIA. Repositorio Institucional de la Universidad de León
RD 21-may-2024