Development of Spatio-Temporal Land Use Regression Models for Fine Particulate Matter and Wood-Burning Tracers in Temuco, Chile
Impacto
Scholar |
Otros documentos de la autoría: Quinteros, Maria Elisa; Blazquez, Carola; Ayala, Salvador; Kilby, Dylan; Cárdenas Ramírez, Juan Pablo; Ossa, Ximena Marcela; Rosas-Díaz, Felipe; Stone, Elizabeth; Blanco, Estela; Delgado-Saborit, Juana Maria; Harrison, Roy; Ruiz-Rudolph, Pablo
Metadatos
Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/36080
comunitat-uji-handle3:10234/36082
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INVESTIGACIONMetadatos
Título
Development of Spatio-Temporal Land Use Regression Models for Fine Particulate Matter and Wood-Burning Tracers in Temuco, ChileAutoría
Fecha de publicación
2023-11-17Editor
American Chemical SocietyCita bibliográfica
Quinteros, M. E., Blazquez, C., Ayala, S., Kilby, D., Cárdenas-R, J. P., Ossa, X., ... & Ruiz-Rudolph, P. (2023). Development of Spatio-Temporal Land Use Regression Models for Fine Particulate Matter and Wood-Burning Tracers in Temuco, Chile. Environmental science & technology, 57(48), 19473-19486.Tipo de documento
info:eu-repo/semantics/articleVersión
info:eu-repo/semantics/acceptedVersionPalabras clave / Materias
Resumen
Biomass burning is common in much of the world, and in some areas, residential wood-burning has increased. However, air pollution resulting from biomass burning is an important public health problem. A sampling campaign ... [+]
Biomass burning is common in much of the world, and in some areas, residential wood-burning has increased. However, air pollution resulting from biomass burning is an important public health problem. A sampling campaign was carried out between May 2017 and July 2018 in over 64 sites in four sessions, to develop a spatio-temporal land use regression (LUR) model for fine particulate matter (PM) and wood-burning tracers levoglucosan and soluble potassium (Ksol) in a city heavily impacted by wood-burning. The mean (sd) was 46.5 (37.4) μg m–3 for PM2.5, 0.607 (0.538) μg m–3 for levoglucosan, and 0.635 (0.489) μg m–3 for Ksol. LUR models for PM2.5, levoglucosan, and Ksol had a satisfactory performance (LOSOCV R2), explaining 88.8%, 87.4%, and 87.3% of the total variance, respectively. All models included sociodemographic predictors consistent with the pattern of use of wood-burning in homes. The models were applied to predict concentrations surfaces and to estimate exposures for an epidemiological study. [-]
Entidad financiadora
CONICYT | Research Councils UK | Generalitat Valenciana | ANID (Chile)
Código del proyecto o subvención
DPI20140093 | CIDEGENT/2019/064 | 21150801 | ANID-MILENIO-NCS2021_013 | 21191111
Título del proyecto o subvención
Impact of Wood Burning Air Pollution on Preeclampsia and other Pregnancy Outcomes in Temuco, Chile
Derechos de acceso
Copyright © 2023 American Chemical Society
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info:eu-repo/semantics/embargoedAccess
http://rightsstatements.org/vocab/InC/1.0/
info:eu-repo/semantics/embargoedAccess
Aparece en las colecciones
- MED_Articles [655]