The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Enhanced air pollution via aerosol-boundary layer feedback in China
Open accessAbstract
Severe air pollution episodes have been frequent in China during the recent years. While high emissions are the primary reason for increasing pollutant concentrations, the ultimate cause for the most severe pollution episodes has remained unclear. Here we show that a high concentration of particulate matter (PM) will enhance the stability of an urban boundary layer, which in turn decreases the boundary layer height and consequently cause further increases in PM concentrations. We estimate the strength of this positive feedback mechanism by combining a new theoretical framework with ambient observations. We show that the feedback remains moderate at fine PM concentrations lower than about 200 μg m−3, but that it becomes increasingly effective at higher PM loadings resulting from the combined effect of high surface PM emissions and massive secondary PM production within the boundary layer. Our analysis explains why air pollution episodes are particularly serious and severe in megacities and during the days when synoptic weather conditions stay constant.
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
Bounding the role of black carbon in the climate system: A scientific assessment
Bond, T. C., Doherty, S. J., Fahey, D. W., Forster, P. M., Berntsen, T., DeAngelo, B. J., Flanner, M. G., Ghan, S., Kärcher, B., Koch, D., et al. (2013) · Journal of Geophysical Research: Atmospheres · doi:10.1002/jgrd.50171 · Cited by 6,385
The energetic basis of the urban heat island
Oke, T. R. (1982) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.49710845502 · Cited by 4,670
Cited by
Severe haze in northern China: A synergy of anthropogenic emissions and atmospheric processes
An, Z., Huang, R.-J., Zhang, R., Tie, X., Li, G., Cao, J., Zhou, W., Shi, Z., Han, Y., Gu, Z., et al. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1900125116 · Cited by 1,015
Enhanced haze pollution by black carbon in megacities in China
Ding, A. J., Huang, X., Nie, W., Sun, J. N., Kerminen, V. ‐., Petäjä, T., Su, H., Cheng, Y. F., Yang, X. ‐., Wang, M. H., et al. (2016) · Geophysical Research Letters · doi:10.1002/2016gl067745 · Cited by 895
Self-citationContrasting trends of PM2.5 and surface-ozone concentrations in China from 2013 to 2017
Wang, Y., Gao, W., Wang, S., Song, T., Gong, Z., Ji, D., Wang, L., Liu, Z., Tang, G., Huo, Y., et al. (2020) · National Science Review · doi:10.1093/nsr/nwaa032 · Cited by 545
Self-citationPM2.5 Pollution in China and How It Has Been Exacerbated by Terrain and Meteorological Conditions
Wang, X., Dickinson, R. E., Su, L., Zhou, C., & Wang, K. (2018) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-16-0301.1 · Cited by 300
Arctic air pollution: Challenges and opportunities for the next decade
Arnold, S. R., Law, K. S., Brock, C. A., Thomas, J. L., Starkweather, S. M., von Salzen, K., Stohl, A., Sharma, S., Lund, M. T., Flanner, M. G., et al. (2016) · Elementa: Science of the Anthropocene · doi:10.12952/journal.elementa.000104 · Cited by 131
“black carbon, together with reduced solar radiation reaching the ground, can increase stability, initiating a positive feedback mechanism that further reduces vertical mixing (Petäjä et al., 2016).”
BackgroundSelf-citation
Metadata
- Authors
- Petäjä, T., Järvi, L., Kerminen, V.-M., Ding, A. J., Sun, J. N., Nie, W., Kujansuu, J., Virkkula, A., Yang, X., Fu, C. B., Zilitinkevich, S., & Kulmala, M.
- Venue
- Scientific Reports
- Published
- 2016-01-12
- Volume
- 6
- Issue
- 1
- Pages
- 18998-18998
- ISSN
- 2045-2322 (ISSN-L)
- OpenAlex
- W2238158866
- Cited by
- 413
- References
- 2
- FWCI
- 23.14
- 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
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.
