Use este identificador para citar ou linkar para este item: https://repositorio.inpa.gov.br/handle/1/23277
Título: Exploration of oxidative chemistry and secondary organic aerosol formation in the Amazon during the wet season: Explicit modeling of the Manaus urban plume with GECKO-A
Autor: Mouchel-Vallon, Camille
Lee-Taylor, Julia M.
Hodzic, Alma
Artaxo, Paulo
Aumont, Bernard
Camredon, Marie
Gurarie, David
Ji?enez, José Luis
Lenschow, Donald H.
Martin, Scot T.
Nascimento, Janaina
Orlando, John J.
Palm, Brett B.
Shilling, John E.
Shrivastava, Manish K.
Madronich, Sasha
Palavras-chave: Aerosol Formation
Air Mass
Atmospheric Chemistry
Atmospheric Modeling
Concentration (composition)
Emission Inventory
Monoterpene
Oxidation
Parameterization
Urban Area
Wet Season
Amazonas [Brazil]
Brazil
Manaus
Gekkonidae
en
Data do documento: 2020
Revista: Atmospheric Chemistry and Physics
É parte de: Volume 20, Número 10, Pags. 5995-6014
Abstract: The 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.
DOI: 10.5194/acp-20-5995-2020_rfseq1
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