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Updated: Jul 15, 2026

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
Published on: April 8, 2020
Using UCODE_2005 and PHREEQC to determine thermodynamic constants from experimental data.
Magnus E Skold1, Geoffrey D Thyne, John E McCray
1Arcadis G&M, Inc., Highlands Ranch, CO 80129, USA. mskold@arcadis-us.com
This study introduces a method for estimating chemical thermodynamic constants using UCODE_2005 and PHREEQC. The approach quantifies parameter uncertainties and evaluates model validity, aiding in geochemical modeling.
Area of Science:
- Environmental Chemistry
- Geochemistry
- Computational Chemistry
Background:
- Accurate estimation of chemical thermodynamic constants is crucial for understanding and predicting chemical processes in environmental and geological systems.
- Traditional methods often lack robust uncertainty quantification and model validation capabilities.
Purpose of the Study:
- To present a computational method for estimating chemical thermodynamic constants from experimental data.
- To demonstrate the application of this method for determining conditional stability constants, sorption constants, and degradation rate constants.
- To highlight the advantages of the method, including uncertainty estimation and model evaluation.
Main Methods:
- Utilized two computer programs: UCODE_2005 for parameter estimation and PHREEQC for geochemical modeling.
- Applied the method to estimate the conditional stability constant for lead (Pb) complexation with carboxymethyl-beta-cyclodextrin.
- Employed statistical techniques for model assessment and comparison.
Main Results:
- Successfully estimated the conditional stability constant for Pb complexation.
- The method provides a framework for estimating various thermodynamic parameters, including sorption and degradation constants.
- Demonstrated the capability to quantify uncertainties associated with estimated parameters.
Conclusions:
- The presented method offers a powerful tool for refining thermodynamic databases using experimental data.
- It enhances the reliability of geochemical models by incorporating uncertainty analysis and model validation.
- This approach facilitates a statistically sound comparison of different conceptual models.
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