The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Enhanced haze pollution by black carbon in megacities in China
Open accessAbstract
Aerosol‐planetary boundary layer (PBL) interactions have been found to enhance air pollution in megacities in China. We show that black carbon (BC) aerosols play the key role in modifying the PBL meteorology and hence enhancing the haze pollution. With model simulations and data analysis from various field observations in December 2013, we demonstrate that BC induces heating in the PBL, particularly in the upper PBL, and the resulting decreased surface heat flux substantially depresses the development of PBL and consequently enhances the occurrences of extreme haze pollution episodes. We define this process as the “dome effect” of BC and suggest an urgent need for reducing BC emissions as an efficient way to mitigate the extreme haze pollution in megacities of China.
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
High secondary aerosol contribution to particulate pollution during haze events in China
Huang, R.-J., Zhang, Y., Bozzetti, C., Ho, K.-F., Cao, J.-J., Han, Y., Daellenbach, K. R., Slowik, J. G., Platt, S. M., Canonaco, F., et al. (2014) · Nature · doi:10.1038/nature13774 · Cited by 4,556
Fully coupled “online” chemistry within the WRF model
Grell, G. A., Peckham, S. E., Schmitz, R., McKeen, S. A., Frost, G., Skamarock, W. C., & Eder, B. (2005) · Atmospheric Environment · doi:10.1016/j.atmosenv.2005.04.027 · Cited by 3,748
Global and regional climate changes due to black carbon
Ramanathan, V., & Carmichael, G. (2008) · Nature Geoscience · doi:10.1038/ngeo156 · Cited by 3,616
Strong radiative heating due to the mixing state of black carbon in atmospheric aerosols
Jacobson, M. Z. (2001) · Nature · doi:10.1038/35055518 · Cited by 2,512
Climate Effects of Black Carbon Aerosols in China and India
Menon, S., Hansen, J., Nazarenko, L., & Luo, Y. (2002) · Science · doi:10.1126/science.1075159 · Cited by 2,124
Elucidating severe urban haze formation in China
Guo, S., Hu, M., Zamora, M. L., Peng, J., Shang, D., Zheng, J., Du, Z., Wu, Z., Shao, M., Zeng, L., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1419604111 · Cited by 1,711
Self-citationFormation of Urban Fine Particulate Matter
Zhang, R., Wang, G., Guo, S., Zamora, M. L., Ying, Q., Lin, Y., Wang, W., Hu, M., & Wang, Y. (2015) · Chemical Reviews · doi:10.1021/acs.chemrev.5b00067 · Cited by 1,426
Self-citationZheng, G. J., Duan, F. K., Su, H., Ma, Y. L., Cheng, Y., Zheng, B., Zhang, Q., Huang, T., Kimoto, T., Chang, D., et al. (2015) · Atmospheric Chemistry and Physics · doi:10.5194/acp-15-2969-2015 · Cited by 951
Self-citationRadiative Absorption Enhancements Due to the Mixing State of Atmospheric Black Carbon
Cappa, C. D., Onasch, T. B., Massoli, P., Worsnop, D. R., Bates, T. S., Cross, E. S., Davidovits, P., Hakala, J., Hayden, K. L., Jobson, B. T., et al. (2012) · Science · doi:10.1126/science.1223447 · Cited by 811
Self-citation
Cited by
A review of biomass burning: Emissions and impacts on air quality, health and climate in China
Chen, J., Li, C., Ristovski, Z., Milic, A., Gu, Y., Islam, M. S., Wang, S., Hao, J., Zhang, H., He, C., et al. (2017) · Science of The Total Environment · doi:10.1016/j.scitotenv.2016.11.025 · Cited by 1,262
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-citationScattering and absorbing aerosols in the climate system
Li, J., Carlson, B. E., Yung, Y. L., Lv, D., Hansen, J., Penner, J. E., Liao, H., Ramaswamy, V., Kahn, R. A., Zhang, P., et al. (2022) · Nature Reviews Earth & Environment · doi:10.1038/s43017-022-00296-7 · Cited by 561
Self-citationGao, J., Li, Y., Xie, Z., Hu, B., Wang, L., Bao, F., & Fan, S. (2022) · Science of The Total Environment · doi:10.1016/j.scitotenv.2022.153197 · Cited by 33
Gao, J., Li, Y., Zhu, B., Hu, B., Wang, L., & Bao, F. (2020) · doi:10.5194/acp-2020-140 · Cited by 89
Metadata
- Authors
- Ding, A. J., Huang, X., Nie, W., Sun, J. N., Kerminen, V. ‐., Petäjä, T., Su, H., Cheng, Y. F., Yang, X. ‐., Wang, M. H., Chi, X. G., Wang, J. P., Virkkula, A., Guo, W. D., Yuan, J., Wang, S. Y., Zhang, R. J., Wu, Y. F., Song, Y., Zhu, T., Zilitinkevich, S., Kulmala, M., & Fu, C. B.
- Venue
- Geophysical Research Letters
- Publisher
- American Geophysical Union (AGU)
- Published
- 2016-03-16
- Volume
- 43
- Issue
- 6
- Pages
- 2873-2879
- ISSN
- 0094-8276 (ISSN-L)
- 1944-8007
- OpenAlex
- W2465847861
- Cited by
- 895
- References
- 32
- FWCI
- 36.43
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Enhanced haze pollution by black carbon in megacities in China. https://app.cochat.ai/papers/10.1002/2016gl067745
- The paper
- Ding, A. J., Huang, X., Nie, W., Sun, J. N., Kerminen, V. ‐., Petäjä, T., Su, H., Cheng, Y. F., Yang, X. ‐., Wang, M. H., Chi, X. G., Wang, J. P., Virkkula, A., Guo, W. D., Yuan, J., Wang, S. Y., Zhang, R. J., Wu, Y. F., Song, Y., . . . Fu, C. B. (2016). Enhanced haze pollution by black carbon in megacities in China. Geophysical Research Letters. https://doi.org/10.1002/2016gl067745
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.
