Spatial distribution of particulate matter on winter nights in Temuco, Chile: Studying the impact of residential wood-burning using mobile monitoring
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Otros documentos de la autoría: Blanco, Estela; Rubilar, Francisco; Quinteros, Maria Elisa; Cayupi, Karen; Ayala, Salvador; Lu, Siyao; Jimenez, Raquel B.; Cárdenas, Juan Pablo; Blazquez, Carola; Delgado-Saborit, Juana Maria; Harrison, Roy; Ruiz-Rudolph, Pablo
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Título
Spatial distribution of particulate matter on winter nights in Temuco, Chile: Studying the impact of residential wood-burning using mobile monitoringAutoría
Fecha de publicación
2022-12-01Editor
ElsevierISSN
1352-2310Cita bibliográfica
Blanco, E., Rubilar, F., Quinteros, M. E., Cayupi, K., Ayala, S., Lu, S., Jimenez, R. B., Cárdenas, J. P., Blazquez, C. A., Delgado-Saborit, J. M., Harrison, R. M., & Ruiz-Rudolph, P. (2022). Spatial distribution of particulate matter on winter nights in Temuco, Chile: studying the impact of residential wood-burning using mobile monitoring. Atmospheric Environment, 286, [119255]. https://doi.org/10.1016/j.atmosenv.2022.119255Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://www.sciencedirect.com/science/article/pii/S135223102200320XVersión
info:eu-repo/semantics/submittedVersionPalabras clave / Materias
Resumen
Temuco, a medium-sized city in the south of Chile, is heavily impacted by residential wood-burning particularly in winter, which causes strong episodes of air pollution. We spatially characterized the distribution of ... [+]
Temuco, a medium-sized city in the south of Chile, is heavily impacted by residential wood-burning particularly in winter, which causes strong episodes of air pollution. We spatially characterized the distribution of particulate matter (PM) during winter nights in Temuco using mobile measurements. In winter 2016 (June 8-July 15th), continuous monitors for PM ≤ 2.5 μm (PM2.5) and ultrafine particles <0.1 μm (UFP) were deployed in a vehicle along with a positioning system during 20 nights (20:00 to 2:00) in assigned routes that crossed the city and additional sampling was conducted at a central site. Measurements were expressed as concentrations and ratios to central site concentrations and collapsed by spatial grids of 50, 100, 200, and 400 m. Average PM2.5 concentrations were ∼100 μg m−3, while UFP ∼30,000 counts cm−3. Some neighborhoods had concentrations of PM2.5 nearly double those measured at a centrally located site, while other neighborhoods had less than half the measured level. We identified hotspots and cold spots of PM2.5 and UFP throughout the urban area—and observed some neighborhoods in which over 20% of the area was categorized as a hotspot for one of the pollutants (14 for PM2.5 and 11 for UFP out of 34). Using mobile monitoring—a relatively simple and inexpensive methodology— we characterized the spatial distribution of pollutants and likely clusters for the time period, which may guide future spatial campaigns and help targeting local interventions aimed at air pollution mitigation. [-]
Publicado en
Atmospheric Environment, 2022, vol. 286Entidad financiadora
Comisión Nacional de Investigación Científica y Tecnológica (CONICYT) | Research Councils UK | Beca Doctorado Nacional, Chile | European Union
Código del proyecto o subvención
DPI2140093 | 21201332 | 21150801 | 21191111 | info:eu-repo/grantAgreement/EC/H2020/750531
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Copyright © Elsevier B.V.
http://rightsstatements.org/vocab/CNE/1.0/
info:eu-repo/semantics/openAccess
http://rightsstatements.org/vocab/CNE/1.0/
info:eu-repo/semantics/openAccess
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