The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Severe Surface Ozone Pollution in China: A Global Perspective
Abstract
The nationwide extent of surface ozone pollution in China and its comparison to the global ozone distribution have not been recognized because of the scarcity of Chinese monitoring sites before 2012. Here we address this issue by using the latest 5 year (2013–2017) surface ozone measurements from the Chinese monitoring network, combined with the recent Tropospheric Ozone Assessment Report (TOAR) database for other industrialized regions such as Japan, South Korea, Europe, and the United States (JKEU). We use various human health and vegetation exposure metrics. We find that although the median ozone values are comparable between Chinese and JKEU cities, the magnitude and frequency of high-ozone events are much larger in China. The national warm-season (April–September) fourth highest daily maximum 8 h average (4MDA8) ozone level (86.0 ppb) and the number of days with MDA8 values of >70 ppb (NDGT70, 29.7 days) in China are 6.3–30% (range of regional mean differences) and 93–575% higher, respectively, than the JKEU regional averages. Health exposure metrics such as warm-season mean MDA8 and annual SOMO35 (sum of ozone means over 35 ppb) are 6.3–16 and 25–95% higher in China, respectively. We also find an increase in the surface ozone level over China in 2016 and 2017 relative to 2013 and 2014. Our results show that on the regional scale the exposure of humans and vegetation to ozone is greater in China than in other developed regions of the world with comprehensive ozone monitoring.
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
Long-term ozone exposure and mortality in a large prospective study
Turner, M. C., Jerrett, M., Pope, C. A., Krewski, D., Gapstur, S. M., Diver, W. R., Beckerman, B. S., Marshall, J. D., Su, J., Crouse, D. L., et al. (2016) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201508-1633oc · Cited by 938
Lefohn, A. S., Malley, C. S., Smith, L., Wells, B., Hazucha, M., Simon, H., Naik, V., Mills, G., Schultz, M. G., Paoletti, E., et al. (2018) · Elementa: Science of the Anthropocene · doi:10.1525/elementa.279 · Cited by 457
Self-citationSignificant increase of surface ozone at a rural site, north of eastern China
Ma, Z., Xu, J., Quan, W., Zhang, Z., Lin, W., & Xu, X. (2016) · Atmospheric chemistry and physics · doi:10.5194/acp-16-3969-2016 · Cited by 332
Wang, Y., Zhang, Y., Hao, J., & Luo, M. (2011) · Atmospheric chemistry and physics · doi:10.5194/acp-11-3511-2011 · Cited by 195
Self-citation
Cited by
Anthropogenic drivers of 2013–2017 trends in summer surface ozone in China
Li, K., Jacob, D. J., Liao, H., Shen, L., Zhang, Q., & Bates, K. H. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1812168116 · Cited by 1,804
A two-pollutant strategy for improving ozone and particulate air quality in China
Li, K., Jacob, D. J., Liao, H., Zhu, J., Shah, V., Shen, L., Bates, K. H., Zhang, Q., & Zhai, S. (2019) · Nature Geoscience · doi:10.1038/s41561-019-0464-x · Cited by 874
Contrasting 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-citationLiu, Y., & Wang, T. (2020) · Atmospheric Chemistry and Physics · doi:10.5194/acp-20-6323-2020 · Cited by 345
Self-citationOzone pollution threatens the production of major staple crops in East Asia
Feng, Z., Xu, Y., Kobayashi, K., Dai, L., Zhang, T., Agathokleous, E., Calatayud, V., Paoletti, E., Mukherjee, A., Agrawal, M., et al. (2022) · Nature Food · doi:10.1038/s43016-021-00422-6 · Cited by 322
Metadata
- Authors
- Lu, X., Hong, J., Zhang, L., Cooper, O. R., Schultz, M. G., Xu, X., Wang, T., Gao, M., Zhao, Y., & Zhang, Y.
- Venue
- Environmental Science & Technology Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2018-07-26
- Volume
- 5
- Issue
- 8
- Pages
- 487-494
- ISSN
- 2328-8930 (ISSN-L)
- OpenAlex
- W2884846562
- Cited by
- 1,040
- References
- 4
- FWCI
- 39.08
- 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: Severe Surface Ozone Pollution in China: A Global Perspective. https://app.cochat.ai/papers/10.1021/acs.estlett.8b00366
- The paper
- Lu, X., Hong, J., Zhang, L., Cooper, O. R., Schultz, M. G., Xu, X., Wang, T., Gao, M., Zhao, Y., & Zhang, Y. (2018). Severe Surface Ozone Pollution in China: A Global Perspective. Environmental Science & Technology Letters. https://doi.org/10.1021/acs.estlett.8b00366
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.