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

Journal metrics

Journal metrics

  • IF value: 5.509 IF 5.509
  • IF 5-year value: 5.689 IF 5-year 5.689
  • CiteScore value: 5.44 CiteScore 5.44
  • SNIP value: 1.519 SNIP 1.519
  • SJR value: 3.032 SJR 3.032
  • IPP value: 5.37 IPP 5.37
  • h5-index value: 86 h5-index 86
  • Scimago H index value: 161 Scimago H index 161
Volume 12, issue 1 | Copyright
Atmos. Chem. Phys., 12, 455-468, 2012
https://doi.org/10.5194/acp-12-455-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 09 Jan 2012

Research article | 09 Jan 2012

Observation and modeling of the evolution of Texas power plant plumes

W. Zhou1, D. S. Cohan1, R. W. Pinder2, J. A. Neuman3,4, J. S. Holloway3,4, J. Peischl3,4, T. B. Ryerson3, J. B. Nowak3,4, F. Flocke5, and W. G. Zheng5 W. Zhou et al.
  • 1Department of Civil and Environmental Engineering, Rice University, Houston, Texas, USA
  • 2Office of Research and Development, US Environmental Protection Agency, North Carolina, USA
  • 3Chemical Sciences Division, Earth System Research Laboratory, NOAA, Boulder, Colorado, USA
  • 4Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, Colorado, USA
  • 5National Center for Atmospheric Research, Boulder, Colorado, USA

Abstract. During the second Texas Air Quality Study 2006 (TexAQS II), a full range of pollutants was measured by aircraft in eastern Texas during successive transects of power plant plumes (PPPs). A regional photochemical model is applied to simulate the physical and chemical evolution of the plumes. The observations reveal that SO2 and NOy were rapidly removed from PPPs on a cloudy day but not on the cloud-free days, indicating efficient aqueous processing of these compounds in clouds. The model reasonably represents observed NOx oxidation and PAN formation in the plumes, but fails to capture the rapid loss of SO2 (0.37 h−1) and NOy (0.24 h−1) in some plumes on the cloudy day. Adjustments to the cloud liquid water content (QC) and the default metal concentrations in the cloud module could explain some of the SO2 loss. However, NOy in the model was insensitive to QC. These findings highlight cloud processing as a major challenge to atmospheric models. Model-based estimates of ozone production efficiency (OPE) in PPPs are 20–50 % lower than observation-based estimates for the cloudy day.

Download & links
Publications Copernicus
Download
Citation
Share