Spatio-temporal visualization and forecasting of PM10 in the Brazilian state of Minas Gerais
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 determinin...
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| Formato: | Artículo |
| Lenguaje: | inglés |
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2023
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| _version_ | 1881508829445750784 |
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| author | da Silva, Kim Leone Souza López Gonzales, Javier Linkolk Turpo Chaparro, Josue Edison Tocto Cano, Esteban Rodrigues, Paulo Canas |
| author_browse | López Gonzales, Javier Linkolk Rodrigues, Paulo Canas Tocto Cano, Esteban Turpo Chaparro, Josue Edison da Silva, Kim Leone Souza |
| author_facet | da Silva, Kim Leone Souza López Gonzales, Javier Linkolk Turpo Chaparro, Josue Edison Tocto Cano, Esteban Rodrigues, Paulo Canas |
| author_sort | da Silva, Kim Leone Souza |
| collection | Producción científica |
| description | 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. |
| format | Article |
| id | oai:cris.upeu.edu.pe:20.500.15037/430 |
| institution | UPeU |
| language | English |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| record_format | dspace |
| spelling | oai:cris.upeu.edu.pe:20.500.15037/4302026-11-03T23:05:12ZSpatio-temporal visualization and forecasting of PM10 in the Brazilian state of Minas Geraisda Silva, Kim Leone SouzaLópez Gonzales, Javier LinkolkTurpo Chaparro, Josue EdisonTocto Cano, EstebanRodrigues, Paulo CanasEcologyEnvironmental sciencesAir 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.Articlehttps://pubmed.ncbi.nlm.nih.gov/36841859https://www.nature.com/articles/s41598-023-30365-w.pdfhttps://doi.org/10.1038/s41598-023-30365-wPMC996829210.1038/s41598-023-30365-whttps://hdl.handle.net/20.500.15037/43036841859W4321850661enScientific Reports2045-23222023-02-252026-06-13T08:13:25Z2026-06-13T08:13:25Z |
| spellingShingle | Ecology Environmental sciences da Silva, Kim Leone Souza López Gonzales, Javier Linkolk Turpo Chaparro, Josue Edison Tocto Cano, Esteban Rodrigues, Paulo Canas Spatio-temporal visualization and forecasting of PM10 in the Brazilian state of Minas Gerais |
| title | Spatio-temporal visualization and forecasting of PM10 in the Brazilian state of Minas Gerais |
| title_full | Spatio-temporal visualization and forecasting of PM10 in the Brazilian state of Minas Gerais |
| title_fullStr | Spatio-temporal visualization and forecasting of PM10 in the Brazilian state of Minas Gerais |
| title_full_unstemmed | Spatio-temporal visualization and forecasting of PM10 in the Brazilian state of Minas Gerais |
| title_short | Spatio-temporal visualization and forecasting of PM10 in the Brazilian state of Minas Gerais |
| title_sort | spatio temporal visualization and forecasting of pm10 in the brazilian state of minas gerais |
| topic | Ecology Environmental sciences |
| topic_facet | Ecology Environmental sciences |
| url | https://pubmed.ncbi.nlm.nih.gov/36841859 https://www.nature.com/articles/s41598-023-30365-w.pdf https://doi.org/10.1038/s41598-023-30365-w https://hdl.handle.net/20.500.15037/430 |
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