The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Heterogeneous sulfate aerosol formation mechanisms during wintertime Chinese haze events: air quality model assessment using observations of sulfate oxygen isotopes in Beijing
Open accessAbstract
Abstract. Air quality models have not been able to reproduce the magnitude of the observed concentrations of fine particulate matter (PM2.5) during wintertime Chinese haze events. The discrepancy has been at least partly attributed to low biases in modeled sulfate production rates, due to the lack of heterogeneous sulfate production on aerosols in the models. In this study, we explicitly implement four heterogeneous sulfate formation mechanisms into a regional chemical transport model, in addition to gas-phase and in-cloud sulfate production. We compare the model results with observations of sulfate concentrations and oxygen isotopes, Δ17O(SO42-), in the winter of 2014–2015, the latter of which is highly sensitive to the relative importance of different sulfate production mechanisms. Model results suggest that heterogeneous sulfate production on aerosols accounts for about 20 % of sulfate production in clean and polluted conditions, partially reducing the modeled low bias in sulfate concentrations. Model sensitivity studies in comparison with the Δ17O(SO42-) observations suggest that heterogeneous sulfate formation is dominated by transition metal ion-catalyzed oxidation of SO2.
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
The contribution of outdoor air pollution sources to premature mortality on a global scale
Lelieveld, J., Evans, J. S., Fnais, M., Giannadaki, D., & Pozzer, A. (2015) · Nature · doi:10.1038/nature15371 · Cited by 5,977
Enhanced Role of Transition Metal Ion Catalysis During In-Cloud Oxidation of SO 2
Harris, E., Sinha, B., van Pinxteren, D., Tilgner, A., Fomba, K. W., Schneider, J., Roth, A., Gnauk, T., Fahlbusch, B., Mertes, S., et al. (2013) · Science · doi:10.1126/science.1230911 · Cited by 362
Guo, H., Weber, R. J., & Nenes, A. (2017) · Scientific Reports · doi:10.1038/s41598-017-11704-0 · Cited by 268
Rate constant for the reaction of nitrogen dioxide with sulfur(IV) over the pH range 5.3-13
Clifton, C. L., Altstein, N., & Huie, R. E. (1988) · Environmental Science & Technology · doi:10.1021/es00170a018 · Cited by 152
Isotopic constraints on non‐photochemical sulfate production in the Arctic winter
McCabe, J. R., Savarino, J., Alexander, B., Gong, S., & Thiemens, M. H. (2006) · Geophysical Research Letters · doi:10.1029/2005gl025164 · Cited by 63
Self-citation
Cited by
The acidity of atmospheric particles and clouds
Pye, H. O. T., Nenes, A., Alexander, B., Ault, A. P., Barth, M. C., Clegg, S. L., Collett Jr., J. L., Fahey, K. M., Hennigan, C. J., Herrmann, H., et al. (2020) · Atmospheric Chemistry and Physics · doi:10.5194/acp-20-4809-2020 · Cited by 785
Self-citationControl of particulate nitrate air pollution in China
Zhai, S., Jacob, D. J., Wang, X., Liu, Z., Wen, T., Shah, V., Li, K., Moch, J. M., Bates, K. H., Song, S., et al. (2021) · Nature Geoscience · doi:10.1038/s41561-021-00726-z · Cited by 363
Self-citationFast sulfate formation from oxidation of SO2 by NO2 and HONO observed in Beijing haze
Wang, J., Li, J., Ye, J., Zhao, J., Wu, Y., Hu, J., Liu, D., Nie, D., Shen, F., Huang, X., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-16683-x · Cited by 357
Self-citationLiu, T., Chan, A. W. H., & Abbatt, J. P. D. (2021) · Environmental Science & Technology · doi:10.1021/acs.est.0c06496 · Cited by 292
Liu, P., Ye, C., Xue, C., Zhang, C., Mu, Y., & Sun, X. (2020) · Atmospheric Chemistry and Physics · doi:10.5194/acp-20-4153-2020 · Cited by 268
Metadata
- Authors
- Shao, J., Chen, Q., Wang, Y., Lu, X., He, P., Sun, Y., Shah, V., Martin, R. V., Philip, S., Song, S., Zhao, Y., Xie, Z., Zhang, L., & Alexander, B.
- Venue
- Atmospheric Chemistry and Physics
- Publisher
- Copernicus GmbH
- Published
- 2019-05-08
- Volume
- 19
- Issue
- 9
- Pages
- 6107-6123
- ISSN
- 1680-7316 (ISSN-L)
- 1680-7324
- OpenAlex
- W2910302786
- Cited by
- 232
- References
- 5
- FWCI
- 14.58
- 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: Heterogeneous sulfate aerosol formation mechanisms during wintertime Chinese haze events: air quality model assessment using observations of sulfate oxygen isotopes in Beijing. https://app.cochat.ai/papers/10.5194/acp-19-6107-2019
- The paper
- Shao, J., Chen, Q., Wang, Y., Lu, X., He, P., Sun, Y., Shah, V., Martin, R. V., Philip, S., Song, S., Zhao, Y., Xie, Z., Zhang, L., & Alexander, B. (2019). Heterogeneous sulfate aerosol formation mechanisms during wintertime Chinese haze events: air quality model assessment using observations of sulfate oxygen isotopes in Beijing. Atmospheric Chemistry and Physics. https://doi.org/10.5194/acp-19-6107-2019
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.
