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Research ArticleArticles

An internally consistent thermodynamic dataset for aqueous species in the system Ca-Mg-Na-K-Al-Si-O-H-C-Cl to 800 °C and 5 kbar

George D. Miron, Thomas Wagner, Dmitrii A. Kulik and Barbara Lothenbach
American Journal of Science September 2017, 317 (7) 755-806; DOI: https://doi.org/10.2475/07.2017.01
George D. Miron
* Laboratory for Waste Management, Paul Scherrer Institut, 5232 Villigen PSI, Switzerland
** Institute of Geochemistry and Petrology, ETH Zurich, Switzerland
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  • For correspondence: dan.miron@psi.ch
Thomas Wagner
*** Institute of Applied Mineralogy and Economic Geology, RWTH Aachen University, Aachen, Germany
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Dmitrii A. Kulik
* Laboratory for Waste Management, Paul Scherrer Institut, 5232 Villigen PSI, Switzerland
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Barbara Lothenbach
§ Laboratory for Concrete and Construction Chemistry, EMPA, Dübendorf, Switzerland
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American Journal of Science: 317 (7)
American Journal of Science
Vol. 317, Issue 7
1 Sep 2017
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An internally consistent thermodynamic dataset for aqueous species in the system Ca-Mg-Na-K-Al-Si-O-H-C-Cl to 800 °C and 5 kbar
George D. Miron, Thomas Wagner, Dmitrii A. Kulik, Barbara Lothenbach
American Journal of Science Sep 2017, 317 (7) 755-806; DOI: 10.2475/07.2017.01

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An internally consistent thermodynamic dataset for aqueous species in the system Ca-Mg-Na-K-Al-Si-O-H-C-Cl to 800 °C and 5 kbar
George D. Miron, Thomas Wagner, Dmitrii A. Kulik, Barbara Lothenbach
American Journal of Science Sep 2017, 317 (7) 755-806; DOI: 10.2475/07.2017.01
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  • Article
    • Abstract
    • INTRODUCTION
    • THERMODYNAMIC FRAMEWORK
    • CARBON DIOXIDE SOLUBILITY IN WATER
    • CARBON SPECIES
    • ION ASSOCIATION PROPERTIES OF Ca AND Mg WITH HYDROXIDE AND CHLORIDE
    • Ca AND Mg SILICATE SPECIES
    • SELECTION OF THE EXPERIMENTAL SOLUBILITY DATA
    • PARAMETER OPTIMIZATION METHODS
    • RESULTS
    • DISCUSSION
    • CONCLUSIONS AND OUTLOOK
    • ACKNOWLEDGMENTS
    • REFERENCES
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Keywords

  • thermodynamic database
  • aqueous species
  • hydrothermal geochemical modeling
  • fluid-rock interaction
  • optimization
  • experimental data evaluation

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