Analysis of urban pollution episodes by inverse modeling

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dc.contributor.authorJorquera, Hector
dc.contributor.authorCastro, Julio
dc.date.accessioned2024-01-10T12:37:32Z
dc.date.available2024-01-10T12:37:32Z
dc.date.issued2010
dc.description.abstractUrban pollution episodes pose two relevant issues: a) was the episode controlled by specific meteorology, a rise of emissions or both? b) Were mitigation measures effective in curbing down pollution? A methodology for answering those questions comes from an inverse modeling approach. In this work we have applied the methodology to the city of Santiago, Chile for which the required input data are available. We use a Kalman filter and ambient observations to constrain sources of tracers such as CO, elemental carbon and suspended street dust. The period analyzed is the week from May 20th till May 26th 2005. We find that a posteriori CO emissions were 76% of the a priori estimates. For suspended street dust a posteriori values are 36% and 21% of the prior values for coarse and fine fractions, respectively. Elemental carbon emissions are underestimated in the prior inventory - we find a correction factor of 1.53 for the whole week. Sensitivity analyses tested the robustness of a posteriori estimates, generating ensembles of simulations for different modeling options. For different initial prior estimates, the ratio of standard deviation to mean values was below 0.20 for 75% of the a posteriori, estimated emissions. For different choices of the error covariance matrices and model errors those ratios were below 0.30 for 75% of a posteriori emissions, which shows the robustness of results for different parameter choices - only a small fraction of results were not significant. The high pollution peaks on May 21st are due to specific meteorological conditions and increased traffic emissions as well. Contingency measures taken on Sunday May 22nd and better dispersion conditions on Monday May 23rd stopped the accumulation of those pollutants, showing the effectiveness of short term strategies such as traffic bans and street sweeping operations in curbing down traffic pollution at Santiago. (C) 2009 Elsevier Ltd. All rights reserved.
dc.description.funderFONDECYT
dc.description.funderHarvard University
dc.fechaingreso.objetodigital20-03-2024
dc.format.extent13 páginas
dc.fuente.origenWOS
dc.identifier.doi10.1016/j.atmosenv.2009.09.040
dc.identifier.eissn1873-2844
dc.identifier.issn1352-2310
dc.identifier.urihttps://doi.org/10.1016/j.atmosenv.2009.09.040
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/76869
dc.identifier.wosidWOS:000273237800006
dc.information.autorucIngeniería;Jorquera H;S/I;100302
dc.issue.numero1
dc.language.isoen
dc.nota.accesocontenido parcial
dc.pagina.final54
dc.pagina.inicio42
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD
dc.revistaATMOSPHERIC ENVIRONMENT
dc.rightsacceso restringido
dc.subjectInverse modeling
dc.subjectEmission inventory
dc.subjectSantiago de Chile
dc.subjectKalman filter
dc.subjectUrban air quality
dc.subjectESTIMATING PM10 EMISSIONS
dc.subjectSUBTROPICAL WEST-COAST
dc.subjectAIR-POLLUTION
dc.subjectSENSITIVITY-ANALYSIS
dc.subjectSOUTH-AMERICA
dc.subjectAP-42 MODEL
dc.subjectSANTIAGO
dc.subjectQUALITY
dc.subjectCHILE
dc.subjectLOWS
dc.subject.ods11 Sustainable Cities and Communities
dc.subject.ods13 Climate Action
dc.subject.odspa11 Ciudades y comunidades sostenibles
dc.subject.odspa13 Acción por el clima
dc.titleAnalysis of urban pollution episodes by inverse modeling
dc.typeartículo
dc.volumen44
sipa.codpersvinculados100302
sipa.indexWOS
sipa.indexScopus
sipa.trazabilidadCarga SIPA;09-01-2024
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