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dc.contributor.authorMouchel-Vallon, Camille-
dc.contributor.authorLee-Taylor, Julia M.-
dc.contributor.authorHodzic, Alma-
dc.contributor.authorArtaxo, Paulo-
dc.contributor.authorAumont, Bernard-
dc.contributor.authorCamredon, Marie-
dc.contributor.authorGurarie, David-
dc.contributor.authorJi?enez, José Luis-
dc.contributor.authorLenschow, Donald H.-
dc.contributor.authorMartin, Scot T.-
dc.contributor.authorNascimento, Janaina-
dc.contributor.authorOrlando, John J.-
dc.contributor.authorPalm, Brett B.-
dc.contributor.authorShilling, John E.-
dc.contributor.authorShrivastava, Manish K.-
dc.contributor.authorMadronich, Sasha-
dc.date.accessioned2020-07-03T21:50:49Z-
dc.date.available2020-07-03T21:50:49Z-
dc.date.issued2020-
dc.identifier.urihttps://repositorio.inpa.gov.br/handle/1/23277-
dc.description.abstractThe GoAmazon 2014/5 field campaign took place in Manaus, Brazil, and allowed the investigation of the interaction between background-level biogenic air masses and anthropogenic plumes. We present in this work a box model built to simulate the impact of urban chemistry on biogenic secondary organic aerosol (SOA) formation and composition. An organic chemistry mechanism is generated with the Generator for Explicit Chemistry and Kinetics of Organics in the Atmosphere (GECKO-A) to simulate the explicit oxidation of biogenic and anthropogenic compounds. A parameterization is also included to account for the reactive uptake of isoprene oxidation products on aqueous particles. The biogenic emissions estimated from existing emission inventories had to be reduced to match measurements. The model is able to reproduce ozone and NOx for clean and polluted situations. The explicit model is able to reproduce background case SOA mass concentrations but does not capture the enhancement observed in the urban plume. The oxidation of biogenic compounds is the major contributor to SOA mass. A volatility basis set (VBS) parameterization applied to the same cases obtains better results than GECKO-A for predicting SOA mass in the box model. The explicit mechanism may be missing SOA-formation processes related to the oxidation of monoterpenes that could be implicitly accounted for in the VBS parameterization. © 2020 BMJ Publishing Group. All rights reserved.en
dc.language.isoenpt_BR
dc.relation.ispartofVolume 20, Número 10, Pags. 5995-6014pt_BR
dc.rightsRestrito*
dc.subjectAerosol Formationen
dc.subjectAir Massen
dc.subjectAtmospheric Chemistryen
dc.subjectAtmospheric Modelingen
dc.subjectConcentration (composition)en
dc.subjectEmission Inventoryen
dc.subjectMonoterpeneen
dc.subjectOxidationen
dc.subjectParameterizationen
dc.subjectUrban Areaen
dc.subjectWet Seasonen
dc.subjectAmazonas [Brazil]en
dc.subjectBrazilen
dc.subjectManausen
dc.subjectGekkonidaeen
dc.subjectenpt_BR
dc.titleExploration of oxidative chemistry and secondary organic aerosol formation in the Amazon during the wet season: Explicit modeling of the Manaus urban plume with GECKO-Aen
dc.typeArtigopt_BR
dc.identifier.doi10.5194/acp-20-5995-2020_rfseq1-
dc.publisher.journalAtmospheric Chemistry and Physicspt_BR
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