Spatio-temporal visualization and forecasting of [Formula: see text] in the Brazilian state of Minas Gerais.

Autor: da Silva KLS; Department of Statistics, Federal University of Bahia, Salvador, Brazil., López-Gonzales JL; UPG Ingeniería y Arquitectura, Escuela de Posgrado, Universidad Peruana Unión, Lima, Peru.; Facultad de Ingeniería y Arquitectura, Universidad Peruana Unión, Lima, Peru., Turpo-Chaparro JE; UPG Ingeniería y Arquitectura, Escuela de Posgrado, Universidad Peruana Unión, Lima, Peru., Tocto-Cano E; Facultad de Ingeniería y Arquitectura, Universidad Peruana Unión, Lima, Peru., Rodrigues PC; Department of Statistics, Federal University of Bahia, Salvador, Brazil.
Jazyk: angličtina
Zdroj: Scientific reports [Sci Rep] 2023 Feb 25; Vol. 13 (1), pp. 3269. Date of Electronic Publication: 2023 Feb 25.
DOI: 10.1038/s41598-023-30365-w
Abstrakt: Air pollution due to air contamination by gases, liquids, and solid particles in suspension, is a great environmental and public health concern nowadays. An important type of air pollution is particulate matter with a diameter of 10 microns or less ([Formula: see text]) because one of the determining factors that affect human health is the size of particles in the atmosphere due to the degree of permanence and penetration they have in the respiratory system. Therefore, it is extremely interesting to monitor and understand the behavior of [Formula: see text] concentrations so that they do not exceed the established critical levels. In this work, we will study the [Formula: see text] concentrations in all available monitoring stations in the Brazilian state of Minas Gerais. To better understand its behavior, we will provide a spatio-temporal visualization of the [Formula: see text] concentrations. Besides the descriptive and visualization analysis, we consider six standard and advanced time series models that will be used to fit and forecast [Formula: see text] concentrations, with application to three locations, one in Belo Horizonte, the Minas Gerais state capital, and the monitoring stations with the lowest and highest average [Formula: see text] concentration levels.
(© 2023. The Author(s).)
Databáze: MEDLINE
Externí odkaz:
Nepřihlášeným uživatelům se plný text nezobrazuje