AAAR 37th Annual Conference October 14 - October 18, 2019 Oregon Convention Center Portland, Oregon, USA
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Using GECKO-A to Study Secondary Organic Aerosol Formation from Camphene Relative to a-Pinene and Limonene
ISAAC AFREH, Bernard Aumont, Marie Camredon, Kelley Barsanti, University of California, Riverside
Abstract Number: 781 Working Group: Aerosol Chemistry
Abstract Camphene has been measured in emissions from a variety of biogenic sources, including vegetation, marine samples, and soils. Additionally, camphene has been identified as a dominant monoterpene in biomass burning emissions from different fuel types during laboratory and field studies. Despite the contribution of camphene to ambient emissions, very little is known about the potential of camphene to form secondary organic aerosol (SOA). Relative to other monoterpenes, α-pinene and limonene for example, camphene has been significantly understudied in smog chambers. The lack of chamber-derived SOA data for camphene may lead to significant uncertainties in predictions of SOA from monoterpenes using existing parameterizations in air quality models, given the reported contributions of camphene to biogenic and smoke emissions. In this work, GECKO-A, an explicit chemical mechanism generator and SOA box model, was used to study SOA formation from camphene. Model predictions for camphene were compared with predictions for α-pinene and limonene, since more data exist for measurement-model comparison. GECKO-A simulations were performed under chamber-relevant and atmospherically-relevant conditions to enable comparison between the monoterpenes, as well as comparison with published data. Results to be presented include: i) simulated SOA mass and yield for each monoterpene; ii) gas- and particle-phase volitility distributions; and iii) mass contribution of product species to total SOA as a function of carbon number. Also, comparisons between simulated SOA yields and published SOA yields under relevant chamber conditions will be presented. GECKO-A based SOA studies of camphene will help improve representation of monoterpene chemistry in air quality models, thereby leading to more accurate predictions of the contributions of monoterpene-derived SOA to fine particulate matter (PM2.5).