Evaluation of a Graph Reconstruction Method of Missing Data in Air Quality: Application to the Aburrá Valley, Colombia

ABSTRACT: Air pollution is an environmental issue that concerns human health all around the world. The air quality is affected by human emissions, meteorological conditions, and topography. The measurement of pollutants is an important task to make better decisions for controlling high pollution concentrations. However, air quality sensing usually has problems due to machine failures, routine maintenance, among others. As a result, air quality datasets could have missing information that sometimes could represent more than 10% of the data. The correct reconstruction of these missing values plays an essential role in further environmental studies. In this work, we model the reconstruction of missing data as a problem of recovery of graph signals. Therefore, we evaluate the robustness of a graph signal reconstruction method in a dataset of Particular Matter PM2.5 in the Aburrá Valley, Colombia. We observe that 1) the model has better performance during dry months than in wet or transition seasons, and 2) the model could not follow pollution peaks because the algorithm assumes smooth changes in time. This model could be suitable to reconstruct data in the Aburrá Valley in dry seasons for other environmental studies.

• Autores: Botello Velasquez, Maria Camila
• Tipo de recurso: Trabajo de grado de pregrado
• Fecha de publicación: 2021
• Institución: Universidad de Antioquia
• Repositorio: Repositorio UdeA
• Idioma: spa
• OAI Identifier: oai:bibliotecadigital.udea.edu.co:10495/20032
• Acceso en línea: http://hdl.handle.net/10495/20032
• Palabra clave: Environmental quality; Calidad ambiental; Air pollution; Contaminación atmosférica; Meteorology; Meteorología; Measurement; Medición; Data analysis; Análisis de datos; Air quality; Missing data; Data reconstruction; Graph signal processing; http://vocabularies.unesco.org/thesaurus/concept4533; http://vocabularies.unesco.org/thesaurus/concept1946; http://vocabularies.unesco.org/thesaurus/concept185; http://vocabularies.unesco.org/thesaurus/concept5899; http://vocabularies.unesco.org/thesaurus/concept2214
• Rights: openAccess
• License: Atribución-NoComercial-CompartirIgual 2.5 Colombia