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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dc.contributor.authorBlanco, Estela
dc.contributor.authorRubilar, Francisco
dc.contributor.authorQuinteros, Maria Elisa
dc.contributor.authorCayupi, Karen
dc.contributor.authorAyala, Salvador
dc.contributor.authorLu, Siyao
dc.contributor.authorJimenez, Raquel B.
dc.contributor.authorCárdenas, Juan Pablo
dc.contributor.authorBlazquez, Carola A.
dc.contributor.authorDelgado Saborit, Juana Maria
dc.contributor.authorHarrison, Roy M.
dc.contributor.authorRuiz Rudolph, Pablo
dc.date.accessioned2023-08-14T18:54:09Z
dc.date.available2023-08-14T18:54:09Z
dc.date.issued2022-10-01
dc.descriptionIndexación: Scopus.es
dc.description.abstractTemuco, 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. © 2022 Elsevier Ltdes
dc.description.urihttps://www-sciencedirect-com.recursosbiblioteca.unab.cl/science/article/pii/S135223102200320X?via%3Dihub
dc.identifier.citationAtmospheric Environment, Volume 286, 1 October 2022, Article number 119255es
dc.identifier.doi10.1016/j.atmosenv.2022.119255
dc.identifier.issn1352-2310
dc.identifier.urihttps://repositorio.unab.cl/xmlui/handle/ria/52497
dc.language.isoenes
dc.publisherElsevier Ltdes
dc.rights.licenseAttribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectAir pollutiones
dc.subjectAir qualityes
dc.subjectGlobal positioning systemes
dc.subjectMobile samplinges
dc.subjectWood smokees
dc.titleSpatial distribution of particulate matter on winter nights in Temuco, Chile: Studying the impact of residential wood-burning using mobile monitoringes
dc.typeArtículoes
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