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Published August 21, 2018 | Supplemental Material
Journal Article Open

Parameterized Yields of Semivolatile Products from Isoprene Oxidation under Different NO_x Levels: Impacts of Chemical Aging and Wall-Loss of Reactive Gases

Abstract

We developed a parametrizable box model to empirically derive the yields of semivolatile products from VOC oxidation using chamber measurements, while explicitly accounting for the multigenerational chemical aging processes (such as the gas-phase fragmentation and functionalization and aerosol-phase oligomerization and photolysis) under different NO_x levels and the loss of particles and gases to chamber walls. Using the oxidation of isoprene as an example, we showed that the assumptions regarding the NO_x-sensitive, multigenerational aging processes of VOC oxidation products have large impacts on the parametrized product yields and SOA formation. We derived sets of semivolatile product yields from isoprene oxidation under different NO_x levels. However, we stress that these product yields must be used in conjunction with the corresponding multigenerational aging schemes in chemical transport models. As more mechanistic insights regarding SOA formation from VOC oxidation emerge, our box model can be expanded to include more explicit chemical aging processes and help ultimately bridge the gap between the process-based understanding of SOA formation from VOC oxidation and the bulk-yield parametrizations used in chemical transport models.

Additional Information

© 2018 American Chemical Society. Received: January 20, 2018. Revised: June 14, 2018. Accepted: July 20, 2018. Published: July 20, 2018. This work was supported by the Ministry of Science and Technology of China (2017YFC0209802, 2014CB441303), the National Natural Science Foundation of China (41222035, 41461164007), and the Chinese Scholarship Council. L.X. and N.L.N. acknowledge support from US National Science Foundation grant 1455588. The contributions of PNNL authors in this study were supported by the U.S. Department of Energy's Office of Science as part of the Atmospheric System Research (ASR) program and the Regional and Global Climate Modeling Program. The Pacific Northwest National Laboratory is operated for DOE by Battelle Memorial Institute under contract DE-AC05-76RL01830. The authors declare no competing financial interest.

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