Articles | Volume 12, issue 1
https://doi.org/10.5194/gmd-12-167-2019
https://doi.org/10.5194/gmd-12-167-2019
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, Broder J. Merkel, Mauricio Zambrano-Bigiarini, and Sreejesh Nair

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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Ramadan Abdelaziz on behalf of the Authors (14 Nov 2017)  Author's response   Manuscript 
ED: Reconsider after major revisions (07 Feb 2018) by Claire Levy
AR by Ramadan Abdelaziz on behalf of the Authors (11 Apr 2018)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (17 Apr 2018) by Claire Levy
RR by Anonymous Referee #2 (25 Apr 2018)
ED: Publish subject to minor revisions (review by editor) (13 Aug 2018) by Claire Levy
AR by Ramadan Abdelaziz on behalf of the Authors (24 Aug 2018)  Author's response 
ED: Publish as is (14 Sep 2018) by Claire Levy
AR by Ramadan Abdelaziz on behalf of the Authors (23 Sep 2018)
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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.