A new methodology for source apportionment of gaseous industrial emissions

Simple item page
dc.article.number130335
dc.catalogadorjca
dc.contributor.authorJorquera, Héctor
dc.contributor.authorVillalobos, Ana María
dc.date.accessioned2024-06-06T14:28:10Z
dc.date.available2024-06-06T14:28:10Z
dc.date.issued2023
dc.description.abstractAir quality modeling (AQM) is often used to investigate gaseous pollution around industrial zones. However, this methodology requires accurate emission inventories, unbiased AQM algorithms and realistic boundary conditions. We introduce a new methodology for source apportionment of industrial gaseous emissions, which is based on a fuzzy clustering of ambient concentrations, along with a standard AQM approach. First, by applying fuzzy clustering, ambient concentration is expressed as a sum of non-negative contributions — each corresponding to a specific spatiotemporal pattern (STP); we denote this method as FUSTA (FUzzy SpatioTemporal Apportionment). Second, AQM of the major industrial emissions in the study zone generates another set of STP. By comparing both STP sets, all major source contributions resolved by FUSTA are identified, so a source apportionment is achieved. The uncertainty in FUSTA results may be estimated by comparing results for different numbers of clusters. We have applied FUSTA in an industrial zone in central Chile, obtaining the contributions from major sources of ambient SO2: a thermal power plant complex and a copper smelter, and other contributions from local and regional sources (outside the AQM domain). The methodology also identifies SO2 episodes associated to emissions from the copper smelter.
dc.fuente.origenORCID
dc.identifier.doi10.1016/j.jhazmat.2022.130335
dc.identifier.issn0304-3894
dc.identifier.urihttps://doi.org/10.1016/j.jhazmat.2022.130335
dc.identifier.urihttp://www.scopus.com/inward/record.url?eid=2-s2.0-85141491252&partnerID=MN8TOARS
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/86511
dc.information.autorucEscuela de Ingeniería; Jorquera Gonzalez, Hector Ivan Joaquin; 0000-0002-7462-7901; 100302
dc.language.isoen
dc.nota.accesocontenido parcial
dc.pagina.final13
dc.pagina.inicio1
dc.revistaJournal of Hazardous Materials
dc.rightsacceso restringido
dc.subjectSulfur dioxide
dc.subjectFuzzy clustering
dc.subjectAir quality modeling
dc.subjectSource apportionment
dc.subjectAir pollution episodes
dc.subject.ddc610
dc.subject.deweyMedicina y saludes_ES
dc.titleA new methodology for source apportionment of gaseous industrial emissions
dc.typeartículo
dc.volumen443
sipa.codpersvinculados100302
Files
Collections
Artículos de revistas