Local and NON-LOCAL source apportionment of black carbon and combustion generated PM2.5

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dc.article.number123568
dc.catalogadorjwg
dc.contributor.authorRodríguez Rangel, Jessika Carolina
dc.contributor.authorVillalobos, Ana María
dc.contributor.authorCastro-Molinare J.
dc.contributor.authorJorquera González, Héctor Iván Joaquin
dc.date.accessioned2024-05-30T14:18:27Z
dc.date.available2024-05-30T14:18:27Z
dc.date.issued2024
dc.description.abstractCurrent methods for measuring black carbon aerosol (BC) by optical methods apportion BC to fossil fuel and wood combustion. However, these results are aggregated: local and non-local combustion sources are lumped together. The spatial apportioning of carbonaceous aerosol sources is challenging in remote or suburban areas because non-local sources may be significant. Air quality modeling would require highly accurate emission inventories and unbiased dispersion models to quantify such apportionment. We propose FUSTA (FUzzy SpatioTemporal Apportionment) methodology for analyzing aethalometer results for equivalent black carbon coming from fossil fuel (eBCff) and wood combustion (eBCwb). We applied this methodology to ambient measurements at three suburban sites around Santiago, Chile, in the winter season 2021. FUSTA results showed that local sources contributed ∼80% to eBCff and eBCwb in all sites. By using PM2.5 – eBCff and PM2.5 – eBCwb scatterplots for each fuzzy cluster (or source) found by FUSTA, the estimated lower edge lines showed distinctive slopes in each measurement site. These slopes were larger for non-local sources (aged aerosols) than for local ones (fresh emissions) and were used to apportion combustion PM2.5 in each site. In sites Colina, Melipilla and San Jose de Maipo, fossil fuel combustion contributions to PM2.5 were 26 % (15.9 μg m−3), 22 % (9.9 μg m−3), and 22 % (7.8 μg m−3), respectively. Wood burning contributions to PM2.5 were 22 % (13.4 μg m−3), 19 % (8.9 μg m−3) and 22% (7.3 μg m−3), respectively. This methodology generates a joint source apportionment of eBC and PM2.5, which is consistent with available chemical speciation data for PM2.5 in Santiago.
dc.fuente.origenSCOPUS
dc.identifier.doi10.1016/j.envpol.2024.123568
dc.identifier.issn18736424 02697491
dc.identifier.scopusidSCOPUS_ID:85185827901
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/85985
dc.information.autorucEscuela de Ingeniería; Rodriguez Rangel Jessika Carolina; S/I; 1086201
dc.information.autorucEscuela de Ingeniería; Jorquera Gonzalez Hector Ivan Joaquin; 0000-0002-7462-7901; 100302
dc.language.isoen
dc.nota.accesocontenido parcial
dc.publisherElsevier Ltd
dc.revistaEnvironmental Pollution
dc.rightsacceso restringido
dc.subjectAethalometer
dc.subjectEquivalent black carbon
dc.subjectFossil fuel combustion
dc.subjectFUSTA
dc.subjectFuzzy clustering
dc.subjectWood burning
dc.subject.ddc600
dc.subject.deweyTecnologíaes_ES
dc.titleLocal and NON-LOCAL source apportionment of black carbon and combustion generated PM2.5
dc.volumen346
sipa.codpersvinculados1086201
sipa.codpersvinculados100302
sipa.trazabilidadORCID;2024-05-27
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