The DOI matches its Crossref record; 94 of the 94 references it cites were found in a registry or an index.
On the implications of aerosol liquid water and phase separation for organic aerosol mass
Open accessAbstract
Abstract. Organic compounds and liquid water are major aerosol constituents in the southeast United States (SE US). Water associated with inorganic constituents (inorganic water) can contribute to the partitioning medium for organic aerosol when relative humidities or organic matter to organic carbon (OM ∕ OC) ratios are high such that separation relative humidities (SRH) are below the ambient relative humidity (RH). As OM ∕ OC ratios in the SE US are often between 1.8 and 2.2, organic aerosol experiences both mixing with inorganic water and separation from it. Regional chemical transport model simulations including inorganic water (but excluding water uptake by organic compounds) in the partitioning medium for secondary organic aerosol (SOA) when RH > SRH led to increased SOA concentrations, particularly at night. Water uptake to the organic phase resulted in even greater SOA concentrations as a result of a positive feedback in which water uptake increased SOA, which further increased aerosol water and organic aerosol. Aerosol properties, such as the OM ∕ OC and hygroscopicity parameter (κorg), were captured well by the model compared with measurements during the Southern Oxidant and Aerosol Study (SOAS) 2013. Organic nitrates from monoterpene oxidation were predicted to be the least water-soluble semivolatile species in the model, but most biogenically derived semivolatile species in the Community Multiscale Air Quality (CMAQ) model were highly water soluble and expected to contribute to water-soluble organic carbon (WSOC). Organic aerosol and SOA precursors were abundant at night, but additional improvements in daytime organic aerosol are needed to close the model–measurement gap. When taking into account deviations from ideality, including both inorganic (when RH > SRH) and organic water in the organic partitioning medium reduced the mean bias in SOA for routine monitoring networks and improved model performance compared to observations from SOAS. Property updates from this work will be released in CMAQ v5.2.
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Atmospheric chemistry and physics: from air pollution to climate change
(1998) · Choice Reviews Online · doi:10.5860/choice.35-5721 · Cited by 4,944
Evolution of Organic Aerosols in the Atmosphere
Jimenez, J. L., Canagaratna, M. R., Donahue, N. M., Prevot, A. S. H., Zhang, Q., Kroll, J. H., DeCarlo, P. F., Allan, J. D., Coe, H., Ng, N. L., et al. (2009) · Science · doi:10.1126/science.1180353 · Cited by 4,167
Self-citationA single parameter representation of hygroscopic growth and cloud condensation nucleus activity
Petters, M. D., & Kreidenweis, S. M. (2007) · Atmospheric Chemistry and Physics · doi:10.5194/acp-7-1961-2007 · Cited by 2,665
Detection of Influential Observation in Linear Regression
Cook, R. D. (2000) · Technometrics · doi:10.2307/1271434 · Cited by 2,269
Detection of Influential Observation in Linear Regression
Cook, R. D. (1977) · Technometrics · doi:10.1080/00401706.1977.10489493 · Cited by 2,268
Fountoukis, C., & Nenes, A. (2007) · Atmospheric Chemistry and Physics · doi:10.5194/acp-7-4639-2007 · Cited by 1,800
Self-citationIllustrated handbook of physical-chemical properties and environmental fate for organic chemicals
Mackay, D., Shiu, W. Y., & Ching, K. (1992) · Lewis Publishers eBooks · Cited by 1,786
Gas/Particle Partitioning and Secondary Organic Aerosol Yields
Odum, J. R., Hoffmann, T., Bowman, F., Collins, D., Flagan, R. C., & Seinfeld, J. H. (1996) · Environmental Science & Technology · doi:10.1021/es950943+ · Cited by 1,529
An absorption model of gas/particle partitioning of organic compounds in the atmosphere
Pankow, J. F. (1994) · Atmospheric Environment · doi:10.1016/1352-2310(94)90093-0 · Cited by 1,463
Ervens, B., Turpin, B. J., & Weber, R. J. (2011) · Atmospheric Chemistry and Physics · doi:10.5194/acp-11-11069-2011 · Cited by 1,319
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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
Aerosol Mixing State: Measurements, Modeling, and Impacts
Riemer, N., Ault, A. P., West, M., Craig, R. L., & Curtis, J. H. (2019) · Reviews of Geophysics · doi:10.1029/2018rg000615 · Cited by 459
Appel, K. W., Napelenok, S. L., Foley, K. M., Pye, H. O. T., Hogrefe, C., Luecken, D. J., Bash, J. O., Roselle, S. J., Pleim, J. E., Foroutan, H., et al. (2017) · Geoscientific Model Development · doi:10.5194/gmd-10-1703-2017 · Cited by 336
Self-citationSecondary organic aerosol association with cardiorespiratory disease mortality in the United States
Pye, H. O. T., Ward-Caviness, C. K., Murphy, B. N., Appel, K. W., & Seltzer, K. M. (2021) · Nature Communications · doi:10.1038/s41467-021-27484-1 · Cited by 237
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Metadata
- Authors
- Pye, H. O. T., Murphy, B. N., Xu, L., Ng, N. L., Carlton, A. G., Guo, H., Weber, R., Vasilakos, P., Appel, K. W., Budisulistiorini, S. H., Surratt, J. D., Nenes, A., Hu, W., Jimenez, J. L., Isaacman-VanWertz, G., Misztal, P. K., & Goldstein, A. H.
- Venue
- Atmospheric Chemistry and Physics
- Publisher
- Copernicus GmbH
- Published
- 2017-01-06
- Volume
- 17
- Issue
- 1
- Pages
- 343-369
- ISSN
- 1680-7316 (ISSN-L)
- 1680-7324
- OpenAlex
- W2511648696
- Cited by
- 293
- References
- 94
- FWCI
- 14.18
- Type
- journal article
- Language
- en
- Open access
- gold
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- Pye, H. O. T., Murphy, B. N., Xu, L., Ng, N. L., Carlton, A. G., Guo, H., Weber, R., Vasilakos, P., Appel, K. W., Budisulistiorini, S. H., Surratt, J. D., Nenes, A., Hu, W., Jimenez, J. L., Isaacman-VanWertz, G., Misztal, P. K., & Goldstein, A. H. (2017). On the implications of aerosol liquid water and phase separation for organic aerosol mass. Atmospheric Chemistry and Physics. https://doi.org/10.5194/acp-17-343-2017
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