Combining Cluster Analysis of Air Pollution and Meteorological Data with Receptor Model Results for Ambient PM2.5 and PM10

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dc.article.number8455
dc.catalogadorgjm
dc.contributor.authorJorquera, Héctor
dc.contributor.authorVillalobos, Ana María
dc.date.accessioned2024-05-30T16:23:20Z
dc.date.available2024-05-30T16:23:20Z
dc.date.issued2020
dc.description.abstractAir pollution regulation requires knowing major sources on any given zone, setting specific controls, and assessing how health risks evolve in response to those controls. Receptor models (RM) can identify major sources: transport, industry, residential, etc. However, RM results are typically available for short term periods, and there is a paucity of RM results for developing countries. We propose to combine a cluster analysis (CA) of air pollution and meteorological measurements with a short-term RM analysis to estimate a long-term, hourly source apportionment of ambient PM2.5 and PM10. We have developed a proof of the concept for this proposed methodology in three case studies: a large metropolitan zone, a city with dominant residential wood burning (RWB) emissions, and a city in the middle of a desert region. We have found it feasible to identify the major sources in the CA results and obtain hourly time series of their contributions, effectively extending short-term RM results to the whole ambient monitoring period. This methodology adds value to existing ambient data. The hourly time series results would allow researchers to apportion health benefits associated with specific air pollution regulations, estimate source-specific trends, improve emission inventories, and conduct environmental justice studies, among several potential applications.
dc.format.extent25 páginas
dc.fuente.origenORCID
dc.identifier.doi10.3390/ijerph17228455
dc.identifier.urihttps://doi.org/10.3390/ijerph17228455
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/86056
dc.information.autorucEscuela de Ingeniería; Jorquera, Héctor; 0000-0002-7462-7901; 100302
dc.issue.numero22
dc.language.isoen
dc.nota.accesocontenido completo
dc.revistaInternational Journal of Environmental Research and Public Health
dc.rightsacceso abierto
dc.rights.licenseCC BY 4.0 DEED Attribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectAir pollution
dc.subjectSource apportionment
dc.subjectCluster analysis
dc.subjectHealth risks
dc.subjectResidential wood burning
dc.subjectSustainable urban development
dc.subject.ddc600
dc.subject.deweyTecnologíaes_ES
dc.titleCombining Cluster Analysis of Air Pollution and Meteorological Data with Receptor Model Results for Ambient PM2.5 and PM10
dc.typeartículo
dc.volumen17
sipa.codpersvinculados100302
sipa.trazabilidadORCID;2024-05-27
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