Using GECKO-A to derive mechanistic understanding of secondary organic aerosol formation from the ubiquitous but understudied camphene
Isaac Kwadjo Afreh,Bernard Aumont,Marie Camredon,and Kelley Claire Barsanti
Isaac Kwadjo Afreh
Department of Chemical and Environmental Engineering and College of
Engineering-Center for Environmental Research and Technology (CE-CERT),
University of California-Riverside, Riverside, California 92507, United
States
Department of Chemical and Environmental Engineering and College of
Engineering-Center for Environmental Research and Technology (CE-CERT),
University of California-Riverside, Riverside, California 92507, United
States
Viewed
Total article views: 3,415 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
2,438
898
79
3,415
390
103
124
HTML: 2,438
PDF: 898
XML: 79
Total: 3,415
Supplement: 390
BibTeX: 103
EndNote: 124
Views and downloads (calculated since 11 Sep 2020)
Cumulative views and downloads
(calculated since 11 Sep 2020)
Total article views: 2,766 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
2,076
624
66
2,766
185
92
109
HTML: 2,076
PDF: 624
XML: 66
Total: 2,766
Supplement: 185
BibTeX: 92
EndNote: 109
Views and downloads (calculated since 30 Jul 2021)
Cumulative views and downloads
(calculated since 30 Jul 2021)
Total article views: 649 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
362
274
13
649
205
11
15
HTML: 362
PDF: 274
XML: 13
Total: 649
Supplement: 205
BibTeX: 11
EndNote: 15
Views and downloads (calculated since 11 Sep 2020)
Cumulative views and downloads
(calculated since 11 Sep 2020)
Viewed (geographical distribution)
Total article views: 3,415 (including HTML, PDF, and XML)
Thereof 3,378 with geography defined
and 37 with unknown origin.
Total article views: 2,766 (including HTML, PDF, and XML)
Thereof 2,766 with geography defined
and 0 with unknown origin.
Total article views: 649 (including HTML, PDF, and XML)
Thereof 604 with geography defined
and 45 with unknown origin.
This is the first mechanistic modeling study of secondary organic aerosol (SOA) from the understudied monoterpene, camphene. The semi-explicit chemical model GECKO-A predicted camphene SOA yields that were ~2 times α-pinene. Using 50/50 α-pinene + limonene as a surrogate for camphene increased predicted SOA mass from biomass burning fuels by up to ~100 %. The accurate representation of camphene in air quality models can improve predictions of SOA when camphene is a dominant monoterpene.
This is the first mechanistic modeling study of secondary organic aerosol (SOA) from the...
