Evaluación de la exposición de largo plazo al material particulado fino (PM2.5) en diferentes escalas espaciales intraurbanas.
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| Title: | Evaluación de la exposición de largo plazo al material particulado fino (PM |
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| Alternate Title: | Assessment of long-term exposure to fine particulate matter (PM2.5) at different intra-urban spatial scales. Avaliação da exposição de longo prazo a partículas finas (PM2,5) em diferentes escalas espaciais intraurbanas. |
| Authors: | Piñeros-Jiménez, Juan Gabriel1 juan.pineros@udea.edu.co, Grisales-Vargas, Sara Catalina2 sara.grisales@udea.edu.co, Mejía-Osorio, Santiago3 mejiao@udea.edu.co, Ramírez-Vélez, Ana María4 ana.ramirez@dea.edu.co |
| Source: | Revista Facultad Nacional de Salud Pública. 2025, Vol. 43, p1-15. 15p. |
| Subjects: | PARTICULATE matter, AIR pollutants, LAND use, CITIES & towns, AIR pollution, ENVIRONMENTAL exposure |
| Geographic Terms: | MEDELLIN (Colombia) |
| Abstract (English): | Objective: To estimate the variability of PM2.5 during 2018-2019 in the urban area of Medellín at different geographical scales. Methods: The land use regression (LUR) methodology was applied, considering as dependent variable the annual average concentration of PM2.5 of the monitoring stations in Medellín and others nearby; areas of influence or buffers of circular shape with radii of 100, 150, 200, 300 and 500 m were defined, with center at the coordinates of each monitoring site; spatial models were constructed with each buffer and the one with the highest performance was chosen. Results: The selected models for the years 2018 and 2019 explain between 40% and 46% of the PM2.5 variability, with errors of predicted concentrations of 1.64 and 2.18 µg/m3, respectively. Pollutant distribution was heterogeneous at the neighborhood and block levels. The highest annual concentrations were located towards the central strip of the city, in the areas along the Medellín River, with marked areas to the south and center. While for 2018 concentrations higher than 15 µg/m3 were estimated in 21% of the blocks, for 2019 the total estimates were above this concentration level. Conclusion: Exposure to PM2.5 at different spatial scales was evaluated by the model selected for each year, in which explanatory variables of land use and traffic predominated. Exposure levels below 25 µg/m3 were estimated at the different scales, a low variability that allowed the assignment of individual long-term exposures by place of residence for the MEDELLIN cohort project participants. [ABSTRACT FROM AUTHOR] |
| Abstract (Spanish): | Objetivo: Estimar la variabilidad del PM2.5 durante 2018-2019 en el área urbana de Medellín en diferentes escalas geográficas. Métodos: Se aplicó la metodología de regresión de usos del suelo (LUR), considerando como variable dependiente la concentración promedio anual de PM2.5 de las estaciones de monitoreo de Medellín y cercanas; se definieron áreas de influencia o buffers circulares con radios de 100, 150, 200, 300 y 500 m, con centro en las coordenadas de cada sitio de monitoreo; con cada buffer se construyeron modelos espaciales y se eligió el de mayor rendimiento. Resultados: Los modelos seleccionados para los años 2018 y 2019 explican entre el 40 y el 46 % de la variabilidad del PM2.5, con errores de las concentraciones previstas de 1,64 y 2,18 µg/m3, respectivamente. La distribución del contaminante fue heterogénea a nivel de barrios y manzanas. Las mayores concentraciones anuales se localizaron hacia la franja central de la ciudad, en las áreas circundantes del río Medellín, con áreas marcadas al sur y centro. Mientras que para el 2018 se estimaron concentraciones superiores que 15 µg/m3 en el 21 % de las manzanas, para el 2019, el total de las estimaciones estuvo por encima de esta concentración. Conclusión: Se evalúa la exposición de PM2.5 en diferentes escalas espaciales por medio de los modelos seleccionados para cada año, en los que predominaron variables explicativas de uso de suelo y tráfico. Se estimaron niveles de exposición inferiores a 25 µg/m3 en las diferentes escalas, una variabilidad baja que permitió la asignación de exposiciones individuales de largo plazo por sitio de residencia en los participantes del proyecto. [ABSTRACT FROM AUTHOR] |
| Abstract (Portuguese): | Objetivo: avaliar a variabilidade do PM2,5 durante o período 2018-2019 na área urbana de Medellín em diferentes escalas geográficas. Metodologia: foi aplicado o modelo de regressão do uso da terra (LUR), considerando como variável dependente a concentração média anual de PM2,5 em Medellín e estações de monitoramento próximas, foram definidos buffers com raios de 100, 150, 200, 300 e 500 m centrados nas coordenadas de cada local de monitoramento, e um modelo espacial foi construído com cada buffer. Resultados: os modelos selecionados para os anos de 2018 e 2019 explicam entre 40 e 46% da variabilidade do PM2,5 com erros das concentrações previstas de 1,64 µg/m3 e 2,18 µg/m3, respectivamente. A distribuição de PM2,5 foi heterogênea no nível do bairro e do quarteirão, com as concentrações anuais mais altas localizadas na periferia central da cidade, nas áreas ao redor do rio Medellín, com áreas marcadas no sul e no centro. Enquanto em 2018 foram estimadas concentrações acima de 15 µg/m3 em 21% dos quarteirões, em 2019 100% das estimativas estavam acima dessa concentração. Conclusões: Os modelos LUR foram desenvolvidos para avaliar a exposição ao PM2,5 em diferentes escalas espaciais, nas quais predominaram as variáveis explicativas de uso da terra e tráfego. Níveis de exposição abaixo de 25 µg/m3 foram estimados nas diferentes escalas, uma baixa variabilidade que permitiu a atribuição de exposições individuais de longo prazo por local de residência nos participantes do projeto de coorte MEDELLÍN. [ABSTRACT FROM AUTHOR] |
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| Database: | MedicLatina |
| Abstract: | Objective: To estimate the variability of PM2.5 during 2018-2019 in the urban area of Medellín at different geographical scales. Methods: The land use regression (LUR) methodology was applied, considering as dependent variable the annual average concentration of PM2.5 of the monitoring stations in Medellín and others nearby; areas of influence or buffers of circular shape with radii of 100, 150, 200, 300 and 500 m were defined, with center at the coordinates of each monitoring site; spatial models were constructed with each buffer and the one with the highest performance was chosen. Results: The selected models for the years 2018 and 2019 explain between 40% and 46% of the PM2.5 variability, with errors of predicted concentrations of 1.64 and 2.18 µg/m3, respectively. Pollutant distribution was heterogeneous at the neighborhood and block levels. The highest annual concentrations were located towards the central strip of the city, in the areas along the Medellín River, with marked areas to the south and center. While for 2018 concentrations higher than 15 µg/m3 were estimated in 21% of the blocks, for 2019 the total estimates were above this concentration level. Conclusion: Exposure to PM2.5 at different spatial scales was evaluated by the model selected for each year, in which explanatory variables of land use and traffic predominated. Exposure levels below 25 µg/m3 were estimated at the different scales, a low variability that allowed the assignment of individual long-term exposures by place of residence for the MEDELLIN cohort project participants. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 0120386X |
| DOI: | 10.17533/udea.rfnsp.e357114 |
