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Dynamic coupled metal transport‐speciation model: Application to assess a zinc‐contaminated lake
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| Zeitschriftentitel: | Environmental Toxicology and Chemistry |
|---|---|
| Personen und Körperschaften: | , , , |
| In: | Environmental Toxicology and Chemistry, 23, 2004, 10, S. 2410-2420 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
Wiley
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| Schlagwörter: |
| author_facet |
Bhavsar, Satyendra P. Diamond, Miriam L. Gandhi, Nilima Nilsen, Joel Bhavsar, Satyendra P. Diamond, Miriam L. Gandhi, Nilima Nilsen, Joel |
|---|---|
| author |
Bhavsar, Satyendra P. Diamond, Miriam L. Gandhi, Nilima Nilsen, Joel |
| spellingShingle |
Bhavsar, Satyendra P. Diamond, Miriam L. Gandhi, Nilima Nilsen, Joel Environmental Toxicology and Chemistry Dynamic coupled metal transport‐speciation model: Application to assess a zinc‐contaminated lake Health, Toxicology and Mutagenesis Environmental Chemistry |
| author_sort |
bhavsar, satyendra p. |
| spelling |
Bhavsar, Satyendra P. Diamond, Miriam L. Gandhi, Nilima Nilsen, Joel 0730-7268 1552-8618 Wiley Health, Toxicology and Mutagenesis Environmental Chemistry http://dx.doi.org/10.1897/03-619 <jats:title>Abstract</jats:title><jats:p>A coupled metal transport and speciation/complexation model (TRANSPEC) has been developed to estimate the speciation and fate of multiple interconverting species in surface aquatic systems. Dynamic‐TRANSPEC loosely, sequentially couples the speciation/complexation and fate modules that, for the unsteady state formulation, run alternatively at every time step. The speciation module first estimates species abundance using, in this version, MINEQL+ considering time‐dependent changes in water and pore‐water chemistry. The fate module is based on the quantitative water air sediment interaction (QWASI) model and fugacity/aquivalence formulation, with the option of using a pseudo‐steady state solution to account for past discharges. Similarly to the QWASI model for organic contaminants, TRANSPEC assumes the instantaneous equilibrium distribution of metal species among dissolved, colloidal, and particulate phases based on ambient chemistry parameters that can be collected through conventional field methods. The model is illustrated with its application to Ross Lake (Manitoba, Canada) that has elevated Zn concentrations due to discharges over 70 years from a mining operation. Using measurements from field studies, the model reproduces year‐round variations in Zn water concentrations. A 10‐year projection for current conditions suggests decreasing Zn remobilization and export from the lake. Decreasing Zn loadings increases sediment‐to‐water transport but decreases water concentrations, and vice versa. Species distribution is affected by pH such that a decrease in pH increases metal export from the lake and vice versa.</jats:p> Dynamic coupled metal transport‐speciation model: Application to assess a zinc‐contaminated lake Environmental Toxicology and Chemistry |
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Environmental Toxicology and Chemistry |
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| title |
Dynamic coupled metal transport‐speciation model: Application to assess a zinc‐contaminated lake |
| title_unstemmed |
Dynamic coupled metal transport‐speciation model: Application to assess a zinc‐contaminated lake |
| title_full |
Dynamic coupled metal transport‐speciation model: Application to assess a zinc‐contaminated lake |
| title_fullStr |
Dynamic coupled metal transport‐speciation model: Application to assess a zinc‐contaminated lake |
| title_full_unstemmed |
Dynamic coupled metal transport‐speciation model: Application to assess a zinc‐contaminated lake |
| title_short |
Dynamic coupled metal transport‐speciation model: Application to assess a zinc‐contaminated lake |
| title_sort |
dynamic coupled metal transport‐speciation model: application to assess a zinc‐contaminated lake |
| topic |
Health, Toxicology and Mutagenesis Environmental Chemistry |
| url |
http://dx.doi.org/10.1897/03-619 |
| publishDate |
2004 |
| physical |
2410-2420 |
| description |
<jats:title>Abstract</jats:title><jats:p>A coupled metal transport and speciation/complexation model (TRANSPEC) has been developed to estimate the speciation and fate of multiple interconverting species in surface aquatic systems. Dynamic‐TRANSPEC loosely, sequentially couples the speciation/complexation and fate modules that, for the unsteady state formulation, run alternatively at every time step. The speciation module first estimates species abundance using, in this version, MINEQL+ considering time‐dependent changes in water and pore‐water chemistry. The fate module is based on the quantitative water air sediment interaction (QWASI) model and fugacity/aquivalence formulation, with the option of using a pseudo‐steady state solution to account for past discharges. Similarly to the QWASI model for organic contaminants, TRANSPEC assumes the instantaneous equilibrium distribution of metal species among dissolved, colloidal, and particulate phases based on ambient chemistry parameters that can be collected through conventional field methods. The model is illustrated with its application to Ross Lake (Manitoba, Canada) that has elevated Zn concentrations due to discharges over 70 years from a mining operation. Using measurements from field studies, the model reproduces year‐round variations in Zn water concentrations. A 10‐year projection for current conditions suggests decreasing Zn remobilization and export from the lake. Decreasing Zn loadings increases sediment‐to‐water transport but decreases water concentrations, and vice versa. Species distribution is affected by pH such that a decrease in pH increases metal export from the lake and vice versa.</jats:p> |
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| author | Bhavsar, Satyendra P., Diamond, Miriam L., Gandhi, Nilima, Nilsen, Joel |
| author_facet | Bhavsar, Satyendra P., Diamond, Miriam L., Gandhi, Nilima, Nilsen, Joel, Bhavsar, Satyendra P., Diamond, Miriam L., Gandhi, Nilima, Nilsen, Joel |
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| description | <jats:title>Abstract</jats:title><jats:p>A coupled metal transport and speciation/complexation model (TRANSPEC) has been developed to estimate the speciation and fate of multiple interconverting species in surface aquatic systems. Dynamic‐TRANSPEC loosely, sequentially couples the speciation/complexation and fate modules that, for the unsteady state formulation, run alternatively at every time step. The speciation module first estimates species abundance using, in this version, MINEQL+ considering time‐dependent changes in water and pore‐water chemistry. The fate module is based on the quantitative water air sediment interaction (QWASI) model and fugacity/aquivalence formulation, with the option of using a pseudo‐steady state solution to account for past discharges. Similarly to the QWASI model for organic contaminants, TRANSPEC assumes the instantaneous equilibrium distribution of metal species among dissolved, colloidal, and particulate phases based on ambient chemistry parameters that can be collected through conventional field methods. The model is illustrated with its application to Ross Lake (Manitoba, Canada) that has elevated Zn concentrations due to discharges over 70 years from a mining operation. Using measurements from field studies, the model reproduces year‐round variations in Zn water concentrations. A 10‐year projection for current conditions suggests decreasing Zn remobilization and export from the lake. Decreasing Zn loadings increases sediment‐to‐water transport but decreases water concentrations, and vice versa. Species distribution is affected by pH such that a decrease in pH increases metal export from the lake and vice versa.</jats:p> |
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| imprint_str_mv | Wiley, 2004 |
| institution | DE-D275, DE-Bn3, DE-Brt1, DE-D161, DE-Gla1, DE-Zi4, DE-15, DE-Pl11, DE-Rs1, DE-105, DE-14, DE-Ch1, DE-L229 |
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| spelling | Bhavsar, Satyendra P. Diamond, Miriam L. Gandhi, Nilima Nilsen, Joel 0730-7268 1552-8618 Wiley Health, Toxicology and Mutagenesis Environmental Chemistry http://dx.doi.org/10.1897/03-619 <jats:title>Abstract</jats:title><jats:p>A coupled metal transport and speciation/complexation model (TRANSPEC) has been developed to estimate the speciation and fate of multiple interconverting species in surface aquatic systems. Dynamic‐TRANSPEC loosely, sequentially couples the speciation/complexation and fate modules that, for the unsteady state formulation, run alternatively at every time step. The speciation module first estimates species abundance using, in this version, MINEQL+ considering time‐dependent changes in water and pore‐water chemistry. The fate module is based on the quantitative water air sediment interaction (QWASI) model and fugacity/aquivalence formulation, with the option of using a pseudo‐steady state solution to account for past discharges. Similarly to the QWASI model for organic contaminants, TRANSPEC assumes the instantaneous equilibrium distribution of metal species among dissolved, colloidal, and particulate phases based on ambient chemistry parameters that can be collected through conventional field methods. The model is illustrated with its application to Ross Lake (Manitoba, Canada) that has elevated Zn concentrations due to discharges over 70 years from a mining operation. Using measurements from field studies, the model reproduces year‐round variations in Zn water concentrations. A 10‐year projection for current conditions suggests decreasing Zn remobilization and export from the lake. Decreasing Zn loadings increases sediment‐to‐water transport but decreases water concentrations, and vice versa. Species distribution is affected by pH such that a decrease in pH increases metal export from the lake and vice versa.</jats:p> Dynamic coupled metal transport‐speciation model: Application to assess a zinc‐contaminated lake Environmental Toxicology and Chemistry |
| spellingShingle | Bhavsar, Satyendra P., Diamond, Miriam L., Gandhi, Nilima, Nilsen, Joel, Environmental Toxicology and Chemistry, Dynamic coupled metal transport‐speciation model: Application to assess a zinc‐contaminated lake, Health, Toxicology and Mutagenesis, Environmental Chemistry |
| title | Dynamic coupled metal transport‐speciation model: Application to assess a zinc‐contaminated lake |
| title_full | Dynamic coupled metal transport‐speciation model: Application to assess a zinc‐contaminated lake |
| title_fullStr | Dynamic coupled metal transport‐speciation model: Application to assess a zinc‐contaminated lake |
| title_full_unstemmed | Dynamic coupled metal transport‐speciation model: Application to assess a zinc‐contaminated lake |
| title_short | Dynamic coupled metal transport‐speciation model: Application to assess a zinc‐contaminated lake |
| title_sort | dynamic coupled metal transport‐speciation model: application to assess a zinc‐contaminated lake |
| title_unstemmed | Dynamic coupled metal transport‐speciation model: Application to assess a zinc‐contaminated lake |
| topic | Health, Toxicology and Mutagenesis, Environmental Chemistry |
| url | http://dx.doi.org/10.1897/03-619 |