Modeling of Ion Exchange Processes to Optimize Metal Removal from Complex Mine Water Matrices

The modeling of ion exchange processes could significantly enhance their applicability in mine water treatment, as the modern synthetic resins give unique advantages for the removal of metals. Accurate modeling improves the predictability of the process, minimizing the time and costs involved in lab...

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Autores principales: Angela Isabel Pedregal Montes, Janith Abeywickrama, Nils Hoth, Marlies Grimmer, Carsten Drebenstedt
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Publicado: MDPI AG 2021
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spelling oai:doaj.org-article:d76a2c9e03c6432f909ee98937895c0f2021-11-11T19:57:32ZModeling of Ion Exchange Processes to Optimize Metal Removal from Complex Mine Water Matrices10.3390/w132131092073-4441https://doaj.org/article/d76a2c9e03c6432f909ee98937895c0f2021-11-01T00:00:00Zhttps://www.mdpi.com/2073-4441/13/21/3109https://doaj.org/toc/2073-4441The modeling of ion exchange processes could significantly enhance their applicability in mine water treatment, as the modern synthetic resins give unique advantages for the removal of metals. Accurate modeling improves the predictability of the process, minimizing the time and costs involved in laboratory column testing. However, to date, the development and boundary conditions of such ion exchange systems with complex mine waters are rarely studied and poorly understood. A representative ion exchange model requires the definition of accurate parameters and coefficients. Therefore, theoretical coefficients estimated from natural exchange materials that are available in geochemical databases often need to be modified. A 1D reactive transport model was developed based on PhreeqC code, using three case scenarios of synthetic mine waters and varying the operating conditions. The first approach was defined with default exchange coefficients from the phreeqc.dat database to identify and study the main parameters and coefficients that govern the model: cation exchange capacity, exchange coefficients, and activity coefficients. Then, these values were adjusted through iterative calibration until a good approximation between experimental and simulation breakthrough curves was achieved. This study proposes a suitable methodology and challenges for modeling the removal of metals from complex mine waters using synthetic ion exchange resins.Angela Isabel Pedregal MontesJanith AbeywickramaNils HothMarlies GrimmerCarsten DrebenstedtMDPI AGarticlereactive transport modelingion exchange resinsmine watermetal removalPhreeqCHydraulic engineeringTC1-978Water supply for domestic and industrial purposesTD201-500ENWater, Vol 13, Iss 3109, p 3109 (2021)
institution DOAJ
collection DOAJ
language EN
topic reactive transport modeling
ion exchange resins
mine water
metal removal
PhreeqC
Hydraulic engineering
TC1-978
Water supply for domestic and industrial purposes
TD201-500
spellingShingle reactive transport modeling
ion exchange resins
mine water
metal removal
PhreeqC
Hydraulic engineering
TC1-978
Water supply for domestic and industrial purposes
TD201-500
Angela Isabel Pedregal Montes
Janith Abeywickrama
Nils Hoth
Marlies Grimmer
Carsten Drebenstedt
Modeling of Ion Exchange Processes to Optimize Metal Removal from Complex Mine Water Matrices
description The modeling of ion exchange processes could significantly enhance their applicability in mine water treatment, as the modern synthetic resins give unique advantages for the removal of metals. Accurate modeling improves the predictability of the process, minimizing the time and costs involved in laboratory column testing. However, to date, the development and boundary conditions of such ion exchange systems with complex mine waters are rarely studied and poorly understood. A representative ion exchange model requires the definition of accurate parameters and coefficients. Therefore, theoretical coefficients estimated from natural exchange materials that are available in geochemical databases often need to be modified. A 1D reactive transport model was developed based on PhreeqC code, using three case scenarios of synthetic mine waters and varying the operating conditions. The first approach was defined with default exchange coefficients from the phreeqc.dat database to identify and study the main parameters and coefficients that govern the model: cation exchange capacity, exchange coefficients, and activity coefficients. Then, these values were adjusted through iterative calibration until a good approximation between experimental and simulation breakthrough curves was achieved. This study proposes a suitable methodology and challenges for modeling the removal of metals from complex mine waters using synthetic ion exchange resins.
format article
author Angela Isabel Pedregal Montes
Janith Abeywickrama
Nils Hoth
Marlies Grimmer
Carsten Drebenstedt
author_facet Angela Isabel Pedregal Montes
Janith Abeywickrama
Nils Hoth
Marlies Grimmer
Carsten Drebenstedt
author_sort Angela Isabel Pedregal Montes
title Modeling of Ion Exchange Processes to Optimize Metal Removal from Complex Mine Water Matrices
title_short Modeling of Ion Exchange Processes to Optimize Metal Removal from Complex Mine Water Matrices
title_full Modeling of Ion Exchange Processes to Optimize Metal Removal from Complex Mine Water Matrices
title_fullStr Modeling of Ion Exchange Processes to Optimize Metal Removal from Complex Mine Water Matrices
title_full_unstemmed Modeling of Ion Exchange Processes to Optimize Metal Removal from Complex Mine Water Matrices
title_sort modeling of ion exchange processes to optimize metal removal from complex mine water matrices
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/d76a2c9e03c6432f909ee98937895c0f
work_keys_str_mv AT angelaisabelpedregalmontes modelingofionexchangeprocessestooptimizemetalremovalfromcomplexminewatermatrices
AT janithabeywickrama modelingofionexchangeprocessestooptimizemetalremovalfromcomplexminewatermatrices
AT nilshoth modelingofionexchangeprocessestooptimizemetalremovalfromcomplexminewatermatrices
AT marliesgrimmer modelingofionexchangeprocessestooptimizemetalremovalfromcomplexminewatermatrices
AT carstendrebenstedt modelingofionexchangeprocessestooptimizemetalremovalfromcomplexminewatermatrices
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