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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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GMD | Articles | Volume 12, issue 1
Geosci. Model Dev., 12, 167-177, 2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 3.0 License.
Geosci. Model Dev., 12, 167-177, 2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 3.0 License.

Development and technical paper 08 Jan 2019

Development and technical paper | 08 Jan 2019

Particle swarm optimization for the estimation of surface complexation constants with the geochemical model PHREEQC-3.1.2

Ramadan Abdelaziz et al.
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Cited articles  
Abdelaziz, R.: Coupling of hydroPSO and PHREEQC (Version version3) [Data set], Zenodo,, 2017. 
Abdelaziz, R. and Bakr, M. I.: Inverse modeling of groundwater flow of Delta Wadi El-Arish, J. Water Resour. Protect., 4, 432,, 2012. 
Abdelaziz, R. and Merkel, B. J.: Sensitivity analysis of transport modeling in a fractured gneiss aquifer, J. Afr. Earth Sci., 103, pp.121-127,, 2015. 
Abdelaziz, R. and Zambrano-Bigiarini, M.: Particle Swarm Optimization for inverse modeling of solute transport in fractured gneiss aquifer, J. Contam. Hydrol., 164, 285–298,, 2014. 
Abdelaziz, R., El-Rahman, Y. A., and Wilhelm, S.: Landsat-8 data for chromite prospecting in the Logar Massif, Afghanistan, Heliyon, 4, e00542,, 2018. 
Publications Copernicus
Short summary
The paper presents a robust tool to estimate the thermodynamic surface complexation parameter for the sorption of uranium(VI) onto quartz surfaces. The optimization package hydroPSO R is coupled with the geochemical speciation code PHREEQC. hydroPSO used the m parameter estimation tool for geochemical modeling with PHREEQC. Coupled hydroPSO with PHREEQC proved to be a robust tool to estimate surface complexation constants for uranium(VI) species on quartz.
The paper presents a robust tool to estimate the thermodynamic surface complexation parameter...