Development of Spatio-Temporal Land Use Regression Models for Fine Particulate Matter and Wood-Burning Tracers in Temuco, Chile

María Elisa Quinteros; Carola Blazquez; Salvador Ayala; Dylan Kilby; Juan Pablo Cárdenas-R; Ximena Ossa; Felipe Rosas-Diaz; Elizabeth A Stone; Estela Blanco; Juana-María Delgado-Saborit; Roy M Harrison; Pablo Ruiz-Rudolph

doi:10.1021/acs.est.3c00720

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Development of Spatio-Temporal Land Use Regression Models for Fine Particulate Matter and Wood-Burning Tracers in Temuco, Chile

Journal article

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Development of Spatio-Temporal Land Use Regression Models for Fine Particulate Matter and Wood-Burning Tracers in Temuco, Chile

María Elisa Quinteros, Carola Blazquez, Salvador Ayala, Dylan Kilby, Juan Pablo Cárdenas-R, Ximena Ossa, Felipe Rosas-Diaz, Elizabeth A Stone, Estela Blanco, Juana-María Delgado-Saborit, …

Environmental science & technology, Vol.57(48), pp.19473-19486

12/05/2023

DOI: 10.1021/acs.est.3c00720

PMID: 37976408

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https://pure-oai.bham.ac.uk/ws/files/214791384/PRE-PROOF_Development_of_Spatio-Temporal_Land_Use_Regression_Models.pdfView

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Abstract

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.

Details

Title: Subtitle: Development of Spatio-Temporal Land Use Regression Models for Fine Particulate Matter and Wood-Burning Tracers in Temuco, Chile
Creators: María Elisa Quinteros - University of Talca
Carola Blazquez - Universidad Andrés Bello
Salvador Ayala - University of Chile
Dylan Kilby - University of Michigan
Juan Pablo Cárdenas-R
Ximena Ossa - Universidad de La Frontera
Felipe Rosas-Diaz - Universidad Autónoma de Nuevo León
Elizabeth A Stone - University of Iowa
Estela Blanco - University of Chile
Juana-María Delgado-Saborit - Universitat Jaume I
Roy M Harrison - University of Birmingham
Pablo Ruiz-Rudolph - University of Chile
Resource Type: Journal article
Publication Details: Environmental science & technology, Vol.57(48), pp.19473-19486
DOI: 10.1021/acs.est.3c00720
PMID: 37976408
NLM abbreviation: Environ Sci Technol
eISSN: 1520-5851
Grant note: DOI: 10.13039/501100011596, name: Conselleria d'Educaci?, Investigaci?, Cultura i Esport, award: CIDEGENT/2019/064; DOI: 10.13039/501100000690, name: Research Councils UK, award: DPI20140093; DOI: 10.13039/501100002848, name: Comisi?n Nacional de Investigaci?n Cient?fica y Tecnol?gica, award: DPI20140093, 21150801; DOI: 10.13039/501100020884, name: Agencia Nacional de Investigaci?n y Desarrollo, award: NCS2021_013, 21191111
Language: English
Electronic publication date: 11/17/2023
Date published: 12/05/2023
Academic Unit: Chemistry; Chemical and Biochemical Engineering
Record Identifier: 9984513303202771

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