The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
PM2.5 Pollution in China and How It Has Been Exacerbated by Terrain and Meteorological Conditions
Abstract
The recent severe and frequent PM2.5 (i.e., fine particles smaller than 2.5 µm) pollution in China has aroused unprecedented public concern. The first two years of PM2.5 measurements in China are reported and compared with those of Europe and the United States. The average PM2.5 concentration in China is approximately 5 times that over Europe and America. The contribution of atmospheric dispersion to such air quality is evaluated in this study. Air stagnation or its absence is a good indicator of the atmosphere’s capability to disperse its pollutants, but the NOAA definition of an air stagnation event is found to not be applicable to China since it depends on vertical mixing that is weakened in China by the effects of terrain. To address this deficiency, a new threshold for air stagnation events is proposed that depends on the 10-m wind speed, boundary layer height, and occurrence of precipitation. This newly defined air stagnation closely tracks the day-to-day variation of PM2.5 concentrations. Such events are more frequent over China than over Europe and the United States during autumn and winter, especially over the Sichuan basin and Jing-Jin-Ji region of China. If China had the same frequency of air stagnation as the United States or Europe, 67% and 82% of its stations would improve their current air quality during autumn and winter (e.g., an average of 12% decrease in PM2.5 concentrations for the Jing-Jin-Ji region in wintertime). Its severe pollution and frequent air stagnation conditions make controls on emission less effective in China than elsewhere.
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
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
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
Tai, A. P. K., Mickley, L. J., & Jacob, D. J. (2010) · Atmospheric Environment · doi:10.1016/j.atmosenv.2010.06.060 · Cited by 1,048
Fine particulate matter (PM2.5) in China at a city level
Zhang, Y.-L., & Cao, F. (2015) · Scientific Reports · doi:10.1038/srep14884 · Cited by 921
Aerosol and monsoon climate interactions over Asia
Li, Z., Lau, W. K. ‐., Ramanathan, V., Wu, G., Ding, Y., Manoj, M. G., Liu, J., Qian, Y., Li, J., Zhou, T., et al. (2016) · Reviews of Geophysics · doi:10.1002/2015rg000500 · Cited by 881
Self-citationWang, Y., Yao, L., Wang, L., Liu, Z., Ji, D., Tang, G., Zhang, J., Sun, Y., Hu, B., & Xin, J. (2014) · Science China Earth Sciences · doi:10.1007/s11430-013-4773-4 · Cited by 748
Control of atmospheric export of dust from North Africa by the North Atlantic Oscillation
Moulin, C., Lambert, C. E., Dulac, F., & Dayan, U. (1997) · Nature · doi:10.1038/42679 · Cited by 723
Zhang, Q., He, K., & Huo, H. (2012) · Nature · doi:10.1038/484161a · Cited by 612
Mineral dust and NOx promote the conversion of SO2 to sulfate in heavy pollution days
He, H., Wang, Y., Ma, Q., Ma, J., Chu, B., Ji, D., Tang, G., Liu, C., Zhang, H., & Hao, J. (2014) · Scientific Reports · doi:10.1038/srep04172 · Cited by 531
Cited by
Zhai, S., Jacob, D. J., Wang, X., Shen, L., Li, K., Zhang, Y., Gui, K., Zhao, T., & Liao, H. (2019) · Atmospheric Chemistry and Physics · doi:10.5194/acp-19-11031-2019 · Cited by 785
Self-citationFan, H., Zhao, C., & Yang, Y. (2020) · Atmospheric Environment · doi:10.1016/j.atmosenv.2019.117066 · Cited by 474
Impacts of climate change on future air quality and human health in China
Hong, C., Zhang, Q., Zhang, Y., Davis, S. J., Tong, D., Zheng, Y., Liu, Z., Guan, D., He, K., & Schellnhuber, H. J. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1812881116 · Cited by 406
Efficacy of China’s clean air actions to tackle PM2.5 pollution between 2013 and 2020
Geng, G., Liu, Y., Liu, Y., Liu, S., Cheng, J., Yan, L., Wu, N., Hu, H., Tong, D., Zheng, B., et al. (2024) · Nature Geoscience · doi:10.1038/s41561-024-01540-z · Cited by 369
Metadata
- Authors
- Wang, X., Dickinson, R. E., Su, L., Zhou, C., & Wang, K.
- Venue
- Bulletin of the American Meteorological Society
- Publisher
- American Meteorological Society
- Published
- 2018-01-01
- Volume
- 99
- Issue
- 1
- Pages
- 105-119
- ISSN
- 0003-0007 (ISSN-L)
- 1520-0477
- OpenAlex
- W2690621383
- Cited by
- 300
- References
- 49
- FWCI
- 15.13
- Type
- journal article
- Language
- en
- Open access
- closed
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: PM2.5 Pollution in China and How It Has Been Exacerbated by Terrain and Meteorological Conditions. https://app.cochat.ai/papers/10.1175/bams-d-16-0301.1
- The paper
- Wang, X., Dickinson, R. E., Su, L., Zhou, C., & Wang, K. (2018). PM2.5 Pollution in China and How It Has Been Exacerbated by Terrain and Meteorological Conditions. Bulletin of the American Meteorological Society. https://doi.org/10.1175/bams-d-16-0301.1
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.
