The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Chemical Characteristics of PM2.5 and PM10 in Haze−Fog Episodes in Beijing
Abstract
Aerosol samples of PM2.5 and PM10 in a period of intensive haze-fog (HF) events were collected to investigate the chemical characteristics of air pollution in Beijing. The air quality in HF episodes was much worse than that in nonhaze-fog (NHF) days. The concentrations of elements and water-soluble (WS) ions (K+, So4(2-), and NO3-) in HF episodes were more than 10 times higher than those in NHF days. Most of the chemical species in PM2.5 and the secondary species (NH4+, So4(2-), and NO3-) in PM10 showed significant difference between HF from westerly direction (HFW) and southerly direction (HFS). The concentrations of secondary species in HFS were much higher than those in HFW, and other chemical species in HFS were lower than those in HFW. The sources of PM2.5 were more from areas on the regional scale due to its tendency for long-range transport, while PM10 was more limited to the local sources. Aerosol particles were more acidic in HFS and more alkaline in HFW. The secondary species were the major chemical components of the aerosol in HF episodes, and their concentrations increased in the order of NHF < HFW < HFS. High concentrations of the secondary aerosol in HF episodes were likely due to the higher sulfur and nitrogen oxidation rate in aqueous-phase reactions. The serious air pollution in HF episodes was strongly correlated with the meteorological conditions and the emissions of pollutants from anthropogenic sources.
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 geochemical evolution of the continental crust
Taylor, S. R., & McLennan, S. M. (1995) · Reviews of Geophysics · doi:10.1029/95rg00262 · Cited by 4,643
Cited by
Chemical characterization and source apportionment of PM 2.5 in Beijing: seasonal perspective
Zhang, R., Jing, J., Tao, J., Hsu, S.-C., Wang, G., Cao, J., Lee, C. S. L., Zhu, L., Chen, Z., Zhao, Y., et al. (2013) · Atmospheric Chemistry and Physics · doi:10.5194/acp-13-7053-2013 · Cited by 1,206
Elser, M., Huang, R.-J., Wolf, R., Slowik, J. G., Wang, Q., Canonaco, F., Li, G., Bozzetti, C., Daellenbach, K. R., Huang, Y., et al. (2016) · Atmospheric Chemistry and Physics · doi:10.5194/acp-16-3207-2016 · Cited by 389
Differentiating the effects of fine and coarse particles on daily mortality in Shanghai, China
Kan, H., London, S. J., Chen, G., Zhang, Y., Song, G., Zhao, N., Jiang, L., & Chen, B. (2007) · Environment International · doi:10.1016/j.envint.2006.12.001 · Cited by 339
Gao, J., Woodward, A., Vardoulakis, S., Kovats, S., Wilkinson, P., Li, L., Xu, L., Li, J., Yang, J., Li, J., et al. (2017) · Science of The Total Environment · doi:10.1016/j.scitotenv.2016.10.231 · Cited by 292
Metadata
- Authors
- Sun, Y., Zhuang, G., Tang, A., Wang, Y., & An, Z.
- Venue
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- Published
- 2006-04-08
- Volume
- 40
- Issue
- 10
- Pages
- 3148-3155
- ISSN
- 0013-936X (ISSN-L)
- 1520-5851
- OpenAlex
- W2085936875
- Cited by
- 736
- References
- 1
- FWCI
- 4.58
- 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: Chemical Characteristics of PM2.5 and PM10 in Haze−Fog Episodes in Beijing. https://app.cochat.ai/papers/10.1021/es051533g
- The paper
- Sun, Y., Zhuang, G., Tang, A., Wang, Y., & An, Z. (2006). Chemical Characteristics of PM2.5 and PM10 in Haze−Fog Episodes in Beijing. Environmental Science & Technology. https://doi.org/10.1021/es051533g
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.