The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Global modeling of secondary organic aerosol formation from aromatic hydrocarbons: high- vs. low-yield pathways
Open accessAbstract
Abstract. Formation of SOA from the aromatic species toluene, xylene, and, for the first time, benzene, is added to a global chemical transport model. A simple mechanism is presented that accounts for competition between low and high-yield pathways of SOA formation, wherein secondary gas-phase products react further with either nitric oxide (NO) or hydroperoxy radical (HO2) to yield semi- or non-volatile products, respectively. Aromatic species yield more SOA when they react with OH in regions where the [NO]/[HO2] ratios are lower. The SOA yield thus depends upon the distribution of aromatic emissions, with biomass burning emissions being in areas with lower [NO]/[HO2] ratios, and the reactivity of the aromatic with respect to OH, as a lower initial reactivity allows transport away from industrial source regions, where [NO]/[HO2] ratios are higher, to more remote regions, where this ratio is lower and, hence, the ultimate yield of SOA is higher. As a result, benzene is estimated to be the most important aromatic species with regards to global formation of SOA, with a total production nearly equal that of toluene and xylene combined. Global production of SOA from aromatic sources via the mechanisms identified here is estimated at 3.5 Tg/yr, resulting in a global burden of 0.08 Tg, twice as large as previous estimates. The contribution of these largely anthropogenic sources to global SOA is still small relative to biogenic sources, which are estimated to comprise 90% of the global SOA burden, about half of which comes from isoprene. Uncertainty in these estimates owing to factors ranging from the atmospheric relevance of chamber conditions to model deficiencies result in an estimated range of SOA production from aromatics of 2–12 Tg/yr. Though this uncertainty range affords a significant anthropogenic contribution to global SOA, it is evident from comparisons to recent observations that additional pathways for production of anthropogenic SOA still exist beyond those accounted for here. Nevertheless, owing to differences in spatial distributions of sources and seasons of peak production, regions exist in which aromatic SOA produced via the mechanisms identified here are predicted to contribute substantially to, and even dominate, the local SOA concentrations, such as outflow regions from North America and South East Asia during the wintertime, though total modeled SOA concentrations there are small (~0.1 μg/m3).
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Interannual variability in global biomass burning emissions from 1997 to 2004
van der Werf, G. R., Randerson, J. T., Giglio, L., Collatz, G. J., Kasibhatla, P. S., & Arellano, A. F. (2006) · Atmospheric Chemistry and Physics · doi:10.5194/acp-6-3423-2006 · Cited by 1,656 · cited 1×
“…biomass burning are calculated by applying emission ratios to emissions of CO, where sources of CO from biofuel burning are from the GEIA database, while biomass burning sources of CO are from the Global Fire Emissions Database version 2 (GFEDv2) (Giglio et al., 2006; van der Werf et al., 2006).”
Global estimation of burned area using MODIS active fire observations
Giglio, L., van der Werf, G. R., Randerson, J. T., Collatz, G. J., & Kasibhatla, P. (2006) · Atmospheric Chemistry and Physics · doi:10.5194/acp-6-957-2006 · Cited by 635
Cited by
van Donkelaar, A., Martin, R. V., Brauer, M., Hsu, N. C., Kahn, R. A., Levy, R. C., Lyapustin, A., Sayer, A. M., & Winker, D. M. (2016) · Environmental Science & Technology · doi:10.1021/acs.est.5b05833 · Cited by 1,206
Reactive intermediates revealed in secondary organic aerosol formation from isoprene
Surratt, J. D., Chan, A. W. H., Eddingsaas, N. C., Chan, M., Loza, C. L., Kwan, A. J., Hersey, S. P., Flagan, R. C., Wennberg, P. O., & Seinfeld, J. H. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0911114107 · Cited by 1,081
Self-citationA review of Secondary Organic Aerosol (SOA) formation from isoprene
Carlton, A. G., Wiedinmyer, C., & Kroll, J. H. (2009) · Atmospheric Chemistry and Physics · doi:10.5194/acp-9-4987-2009 · Cited by 912
Self-citationAtmospheric composition change – global and regional air quality
Monks, P. S., Granier, C., Fuzzi, S., Stohl, A., Williams, M. L., Akimoto, H., Amann, M., Baklanov, A., Baltensperger, U., Bey, I., et al. (2009) · Atmospheric Environment · doi:10.1016/j.atmosenv.2009.08.021 · Cited by 872
Fu, T., Jacob, D. J., Wittrock, F., Burrows, J. P., Vrekoussis, M., & Henze, D. K. (2008) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2007jd009505 · Cited by 746
Self-citation
Metadata
- Authors
- Henze, D. K., Seinfeld, J. H., Ng, N. L., Kroll, J. H., Fu, T.-M., Jacob, D. J., & Heald, C. L.
- Venue
- Atmospheric Chemistry and Physics
- Publisher
- Copernicus GmbH
- Published
- 2008-05-07
- Volume
- 8
- Issue
- 9
- Pages
- 2405-2420
- ISSN
- 1680-7316 (ISSN-L)
- 1680-7324
- OpenAlex
- W2114601739
- Cited by
- 388
- References
- 2
- FWCI
- 14.37
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Global modeling of secondary organic aerosol formation from aromatic hydrocarbons: high- vs. low-yield pathways. https://app.cochat.ai/papers/10.5194/acp-8-2405-2008
- The paper
- Henze, D. K., Seinfeld, J. H., Ng, N. L., Kroll, J. H., Fu, T.-M., Jacob, D. J., & Heald, C. L. (2008). Global modeling of secondary organic aerosol formation from aromatic hydrocarbons: high- vs. low-yield pathways. Atmospheric Chemistry and Physics. https://doi.org/10.5194/acp-8-2405-2008
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.