Exploring uncertainty in thermodynamic modeling of the lead carbonate aqueous system

Thermodynamic models of the lead carbonate aqueous system have been used in prior studies to evaluate the effect of water chemistry on lead solubility and corrosion scale composition in water distribution systems. A common challenge in these studies is uncertainty arising from the thermodynamic equi...

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Autores principales: C. Kushnir, C. E. Robinson
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Lenguaje:EN
Publicado: IWA Publishing 2021
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Acceso en línea:https://doaj.org/article/6531be751e934bc493614a49c3089e7f
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spelling oai:doaj.org-article:6531be751e934bc493614a49c3089e7f2021-12-02T07:52:02ZExploring uncertainty in thermodynamic modeling of the lead carbonate aqueous system2709-80442709-805210.2166/wqrj.2021.017https://doaj.org/article/6531be751e934bc493614a49c3089e7f2021-11-01T00:00:00Zhttp://wqrjc.iwaponline.com/content/56/4/194https://doaj.org/toc/2709-8044https://doaj.org/toc/2709-8052Thermodynamic models of the lead carbonate aqueous system have been used in prior studies to evaluate the effect of water chemistry on lead solubility and corrosion scale composition in water distribution systems. A common challenge in these studies is uncertainty arising from the thermodynamic equilibrium constants (logK values) used to parameterize the models. The objective of this study is to evaluate the way in which uncertainty in logK values propagates through thermodynamic models of the lead carbonate system and provide guidance for future modeling efforts. This was done by conducting a full factorial statistical analysis implemented using a custom Python (v3) code coupled with a PHREEQC (v1.4.2) geochemical model, along with batch lead solubility experiments. Two lead carbonate solid phases (cerussite and hydrocerussite) and nine aqueous lead complexes are considered in the geochemical model with conditions simulated ranging from pH 4 to 11 and dissolved inorganic carbon (DIC) ranging from 0 to 250 mg C/L. Main effect analysis indicates that model uncertainty is predominately associated with logK values for five species (in order of decreasing effect): hydrocerussite, , cerussite, PbOH+, and PbCO3o, with model uncertainty varying depending on the specific pH and DIC conditions simulated. Interaction effects show that logK values cannot be selected independently, as their influence on lead solubility is connected. Finally, by considering uncertainty in logK values it was possible for the thermodynamic model to match batch hydrocerussite solubility experimental data over a range of pH and DIC conditions. Six combinations of logK values that provided a good match between the simulated and experimental data were determined with the average difference between the simulated and experimental lead concentrations calculated to be 0.031 mg/L when the recommended logK value combination was used. HIGHLIGHTS Thermodynamic model uncertainty is predominately associated with logK values for five species (in order of decreasing effect): hydrocerussite, , cerussite, PbOH+, and PbCO3o.; LogK values for species cannot be selected independently, as their influence on lead solubility is interconnected.; Thermodynamic model uncertainty varies depending on specific pH and dissolved inorganic carbon conditions simulated.;C. KushnirC. E. RobinsonIWA Publishingarticlecerussitedrinking waterhydrocerussiteleadthermodynamic modeluncertaintyEnvironmental technology. Sanitary engineeringTD1-1066ENWater Quality Research Journal, Vol 56, Iss 4, Pp 194-204 (2021)
institution DOAJ
collection DOAJ
language EN
topic cerussite
drinking water
hydrocerussite
lead
thermodynamic model
uncertainty
Environmental technology. Sanitary engineering
TD1-1066
spellingShingle cerussite
drinking water
hydrocerussite
lead
thermodynamic model
uncertainty
Environmental technology. Sanitary engineering
TD1-1066
C. Kushnir
C. E. Robinson
Exploring uncertainty in thermodynamic modeling of the lead carbonate aqueous system
description Thermodynamic models of the lead carbonate aqueous system have been used in prior studies to evaluate the effect of water chemistry on lead solubility and corrosion scale composition in water distribution systems. A common challenge in these studies is uncertainty arising from the thermodynamic equilibrium constants (logK values) used to parameterize the models. The objective of this study is to evaluate the way in which uncertainty in logK values propagates through thermodynamic models of the lead carbonate system and provide guidance for future modeling efforts. This was done by conducting a full factorial statistical analysis implemented using a custom Python (v3) code coupled with a PHREEQC (v1.4.2) geochemical model, along with batch lead solubility experiments. Two lead carbonate solid phases (cerussite and hydrocerussite) and nine aqueous lead complexes are considered in the geochemical model with conditions simulated ranging from pH 4 to 11 and dissolved inorganic carbon (DIC) ranging from 0 to 250 mg C/L. Main effect analysis indicates that model uncertainty is predominately associated with logK values for five species (in order of decreasing effect): hydrocerussite, , cerussite, PbOH+, and PbCO3o, with model uncertainty varying depending on the specific pH and DIC conditions simulated. Interaction effects show that logK values cannot be selected independently, as their influence on lead solubility is connected. Finally, by considering uncertainty in logK values it was possible for the thermodynamic model to match batch hydrocerussite solubility experimental data over a range of pH and DIC conditions. Six combinations of logK values that provided a good match between the simulated and experimental data were determined with the average difference between the simulated and experimental lead concentrations calculated to be 0.031 mg/L when the recommended logK value combination was used. HIGHLIGHTS Thermodynamic model uncertainty is predominately associated with logK values for five species (in order of decreasing effect): hydrocerussite, , cerussite, PbOH+, and PbCO3o.; LogK values for species cannot be selected independently, as their influence on lead solubility is interconnected.; Thermodynamic model uncertainty varies depending on specific pH and dissolved inorganic carbon conditions simulated.;
format article
author C. Kushnir
C. E. Robinson
author_facet C. Kushnir
C. E. Robinson
author_sort C. Kushnir
title Exploring uncertainty in thermodynamic modeling of the lead carbonate aqueous system
title_short Exploring uncertainty in thermodynamic modeling of the lead carbonate aqueous system
title_full Exploring uncertainty in thermodynamic modeling of the lead carbonate aqueous system
title_fullStr Exploring uncertainty in thermodynamic modeling of the lead carbonate aqueous system
title_full_unstemmed Exploring uncertainty in thermodynamic modeling of the lead carbonate aqueous system
title_sort exploring uncertainty in thermodynamic modeling of the lead carbonate aqueous system
publisher IWA Publishing
publishDate 2021
url https://doaj.org/article/6531be751e934bc493614a49c3089e7f
work_keys_str_mv AT ckushnir exploringuncertaintyinthermodynamicmodelingoftheleadcarbonateaqueoussystem
AT cerobinson exploringuncertaintyinthermodynamicmodelingoftheleadcarbonateaqueoussystem
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