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Environmental problems - Chemical approaches
RESEARCH ARTICLE

Decomposition of Mercuric Chloride and Application to Combustion Flue Gases

Jennifer Wilcox A B and Paul Blowers A C
+ Author Affiliations
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A Department of Chemical and Environmental Engineering, University of Arizona, Tucson, AZ 85721, USA.

B Current address: Department of Chemical Engineering, Worcester Polytechnic Institute, Worcester, MA 01609, USA.

C Corresponding author. Email: blowers@engr.arizona.edu

Environmental Chemistry 1(3) 166-171 https://doi.org/10.1071/EN04036
Submitted: 12 April 2004  Accepted: 29 September 2004   Published: 7 December 2004

Environmental Context. The toxicity of the volatile metal mercury is well known; this Hg0 form accounts for about 99% of atmospheric mercury and the remainder the water-soluble oxidized (Hg+, Hg2+) form. The release of mercury from the atmosphere is measurable by a drop in the Hg0 levels, but to establish realistic scientific and regulatory standpoints the rate in which Hg0 converts to the oxidized forms needs to be understood. Conversely, from an industrial standpoint, understanding the rate at which the oxidized forms convert to Hg0 allows for better waste-scrubbing processes.

Abstract. Theoretical rate constants and activation energies are predicted for the decomposition of mercuric chloride through the use of relativistic pseudopotentials for mercury at the B3LYP level of theory. The method and basis set combinations are validated through a comparison of theoretically determined geometries, frequencies, and reaction enthalpies to experimental values found in the literature. In addition, the theoretically predicted rate constants are compared to rate constants that have been predicted through combustion modelling of this reaction.

Keywords. : ab initio calculations — mercury — speciation


Acknowledgments

This research has been supported by a grant from the USA Environmental Protection Agency’s Science to Achieve Results (STAR) program (grant no. R-82816801-0). Some of the computations were performed at the National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign, which is funded through the PACI Program at the National Science Foundation.


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