Journal cover Journal topic
Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

IF value: 5.414
IF5.414
IF 5-year value: 5.958
IF 5-year
5.958
CiteScore value: 9.7
CiteScore
9.7
SNIP value: 1.517
SNIP1.517
IPP value: 5.61
IPP5.61
SJR value: 2.601
SJR2.601
Scimago H <br class='widget-line-break'>index value: 191
Scimago H
index
191
h5-index value: 89
h5-index89
Volume 17, issue 12
Atmos. Chem. Phys., 17, 7529–7540, 2017
https://doi.org/10.5194/acp-17-7529-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Chem. Phys., 17, 7529–7540, 2017
https://doi.org/10.5194/acp-17-7529-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 22 Jun 2017

Research article | 22 Jun 2017

Uncertain Henry's law constants compromise equilibrium partitioning calculations of atmospheric oxidation products

Chen Wang et al.

Related authors

Using the chemical equilibrium partitioning space to explore factors influencing the phase distribution of compounds involved in secondary organic aerosol formation
F. Wania, Y. D. Lei, C. Wang, J. P. D. Abbatt, and K.-U. Goss
Atmos. Chem. Phys., 15, 3395–3412, https://doi.org/10.5194/acp-15-3395-2015,https://doi.org/10.5194/acp-15-3395-2015, 2015
Short summary
Novel methods for predicting gas–particle partitioning during the formation of secondary organic aerosol
F. Wania, Y. D. Lei, C. Wang, J. P. D. Abbatt, and K.-U. Goss
Atmos. Chem. Phys., 14, 13189–13204, https://doi.org/10.5194/acp-14-13189-2014,https://doi.org/10.5194/acp-14-13189-2014, 2014
Short summary

Related subject area

Subject: Aerosols | Research Activity: Atmospheric Modelling | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
Inverse modeling of fire emissions constrained by smoke plume transport using HYSPLIT dispersion model and geostationary satellite observations
Hyun Cheol Kim, Tianfeng Chai, Ariel Stein, and Shobha Kondragunta
Atmos. Chem. Phys., 20, 10259–10277, https://doi.org/10.5194/acp-20-10259-2020,https://doi.org/10.5194/acp-20-10259-2020, 2020
Short summary
Comprehensive analyses of source sensitivities and apportionments of PM2.5 and ozone over Japan via multiple numerical techniques
Satoru Chatani, Hikari Shimadera, Syuichi Itahashi, and Kazuyo Yamaji
Atmos. Chem. Phys., 20, 10311–10329, https://doi.org/10.5194/acp-20-10311-2020,https://doi.org/10.5194/acp-20-10311-2020, 2020
Short summary
Numerical analysis of agricultural emissions impacts on PM2.5 in China using a high-resolution ammonia emission inventory
Xiao Han, Lingyun Zhu, Mingxu Liu, Yu Song, and Meigen Zhang
Atmos. Chem. Phys., 20, 9979–9996, https://doi.org/10.5194/acp-20-9979-2020,https://doi.org/10.5194/acp-20-9979-2020, 2020
Short summary
Climate and air quality impacts due to mitigation of non-methane near-term climate forcers
Robert J. Allen, Steven Turnock, Pierre Nabat, David Neubauer, Ulrike Lohmann, Dirk Olivié, Naga Oshima, Martine Michou, Tongwen Wu, Jie Zhang, Toshihiko Takemura, Michael Schulz, Kostas Tsigaridis, Susanne E. Bauer, Louisa Emmons, Larry Horowitz, Vaishali Naik, Twan van Noije, Tommi Bergman, Jean-Francois Lamarque, Prodromos Zanis, Ina Tegen, Daniel M. Westervelt, Philippe Le Sager, Peter Good, Sungbo Shim, Fiona O'Connor, Dimitris Akritidis, Aristeidis K. Georgoulias, Makoto Deushi, Lori T. Sentman, Jasmin G. John, Shinichiro Fujimori, and William J. Collins
Atmos. Chem. Phys., 20, 9641–9663, https://doi.org/10.5194/acp-20-9641-2020,https://doi.org/10.5194/acp-20-9641-2020, 2020
Shipping emissions in the Iberian Peninsula and the impacts on air quality
Rafael A. O. Nunes, Maria C. M. Alvim-Ferraz, Fernando G. Martins, Fátima Calderay-Cayetano, Vanessa Durán-Grados, Juan Moreno-Gutiérrez, Jukka-Pekka Jalkanen, Hanna Hannuniemi, and Sofia I. V. Sousa
Atmos. Chem. Phys., 20, 9473–9489, https://doi.org/10.5194/acp-20-9473-2020,https://doi.org/10.5194/acp-20-9473-2020, 2020
Short summary

Cited articles

ACD/Labs: Advanced Chemistry Development. Data sheet: Absolv prediction  module. Toronto (Canada), cited 2 December 2016, available at: http://www.acdlabs.com/download/docs/datasheets/datasheet_absolv.pdf (last access: 15 June 2017), 2016.
Arp, H. P. H. and Goss, K. U.: Ambient Gas/Particle Partitioning. 3. Estimating Partition Coefficients of Apolar, Polar, and Ionizable Organic Compounds by Their Molecular Structure, Environ. Sci. Technol., 43, 1923–1929, https://doi.org/10.1021/es8025165, 2009.
Arp, H. P. H., Schwarzenbach, R. P., and Goss, K. U.: Ambient gas/particle partitioning. 2: The influence of particle source and temperature on sorption to dry terrestrial aerosols, Environ. Sci. Technol., 42, 5951–5957, https://doi.org/10.1021/es703096p, 2008.
Barley, M. H. and McFiggans, G.: The critical assessment of vapour pressure estimation methods for use in modelling the formation of atmospheric organic aerosol, Atmos. Chem. Phys., 10, 749–767, https://doi.org/10.5194/acp-10-749-2010, 2010.
Compernolle, S., Ceulemans, K., and Müller, J.-F.: EVAPORATION: a new vapour pressure estimation methodfor organic molecules including non-additivity and intramolecular interactions, Atmos. Chem. Phys., 11, 9431–9450, https://doi.org/10.5194/acp-11-9431-2011, 2011.
Publications Copernicus
Download
Short summary
Three property prediction methods are used to predict equilibrium partitioning coefficients for a set of 3414 compounds implicated in secondary organic aerosol formation. Partitioning from the gas phase to water is found to be much more uncertain than estimates of partitioning into the organic matter of aerosol. This uncertainty matters, as phase distribution is very different depending on which prediction method is applied.
Three property prediction methods are used to predict equilibrium partitioning coefficients for...
Citation
Altmetrics
Final-revised paper
Preprint