The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Chemical feedbacks weaken the wintertime response of particulate sulfate and nitrate to emissions reductions over the eastern United States
Open accessAbstract
Significance: Exposure to fine particulate matter is a leading cause of premature deaths and illnesses globally. In the eastern United States, substantial cuts in sulfur dioxide and nitrogen oxides emissions have considerably lowered particulate sulfate and nitrate concentrations for all seasons except winter. Simulations that reproduce detailed airborne observations of wintertime atmospheric chemistry over the eastern United States indicate that particulate sulfate and nitrate formation is limited by the availability of oxidants and by the acidity of fine particles, respectively. These limitations relax at lower ambient concentrations, forming particulate matter more efficiently, and weaken the effect of emission reductions. These results imply that larger emission reductions, especially during winter, are necessary for substantial improvements in wintertime air quality in the eastern United States.
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Cites
Cohen, A. J., Brauer, M., Burnett, R., Anderson, H. R., Frostad, J., Estep, K., Balakrishnan, K., Brunekreef, B., Dandona, L., Dandona, R., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(17)30505-6 · Cited by 6,583
Guo, H., Weber, R. J., & Nenes, A. (2017) · Scientific Reports · doi:10.1038/s41598-017-11704-0 · Cited by 268
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Cited by
Enhanced secondary pollution offset reduction of primary emissions during COVID-19 lockdown in China
Huang, X., Ding, A., Gao, J., Zheng, B., Zhou, D., Qi, X., Tang, R., Wang, J., Ren, C., Nie, W., et al. (2021) · National Science Review · doi:10.1093/nsr/nwaa137 · Cited by 960
The acidity of atmospheric particles and clouds
Pye, H. O. T., Nenes, A., Alexander, B., Ault, A. P., Barth, M. C., Clegg, S. L., Collett Jr., J. L., Fahey, K. M., Hennigan, C. J., Herrmann, H., et al. (2020) · Atmospheric Chemistry and Physics · doi:10.5194/acp-20-4809-2020 · Cited by 785
Self-citationShah, V., Jacob, D. J., Li, K., Silvern, R. F., Zhai, S., Liu, M., Lin, J., & Zhang, Q. (2020) · Atmospheric Chemistry and Physics · doi:10.5194/acp-20-1483-2020 · Cited by 298
Self-citationLiu, T., Chan, A. W. H., & Abbatt, J. P. D. (2021) · Environmental Science & Technology · doi:10.1021/acs.est.0c06496 · Cited by 292
Pan-Arctic seasonal cycles and long-term trends of aerosol properties from 10 observatories
Schmale, J., Sharma, S., Decesari, S., Pernov, J., Massling, A., Hansson, H.-C., von Salzen, K., Skov, H., Andrews, E., Quinn, P. K., et al. (2022) · Atmospheric Chemistry and Physics · doi:10.5194/acp-22-3067-2022 · Cited by 133
“In addition, cold temperatures and high particle water content will favor the partitioning of nitrate into the aerosol phase (Guo et al., 2016; Shah et al., 2018).”
Background
Metadata
- Authors
- Shah, V., Jaeglé, L., Thornton, J. A., Lopez-Hilfiker, F. D., Lee, B. H., Schroder, J. C., Campuzano-Jost, P., Jimenez, J. L., Guo, H., Sullivan, A. P., Weber, R. J., Green, J. R., Fiddler, M. N., Bililign, S., Campos, T. L., Stell, M., Weinheimer, A. J., Montzka, D. D., & Brown, S. S.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2018-07-23
- Volume
- 115
- Issue
- 32
- Pages
- 8110-8115
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2884428727
- Cited by
- 220
- References
- 2
- FWCI
- 10.53
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Shah, V., Jaeglé, L., Thornton, J. A., Lopez-Hilfiker, F. D., Lee, B. H., Schroder, J. C., Campuzano-Jost, P., Jimenez, J. L., Guo, H., Sullivan, A. P., Weber, R. J., Green, J. R., Fiddler, M. N., Bililign, S., Campos, T. L., Stell, M., Weinheimer, A. J., Montzka, D. D., & Brown, S. S. (2018). Chemical feedbacks weaken the wintertime response of particulate sulfate and nitrate to emissions reductions over the eastern United States. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1803295115
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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.