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Grant: Collaborative Research and Development Grants

Université du Québec en Abitibi-Témiscamingue

$138,795.00

Improvement of prediction tools for contaminated mine drainage: assessment of scale, geomicrobiology, and sorption issues

FY 2020-21

Summary
Despite numerous advances in the prediction of mine water quality in the last decades, the mining industry is still facing critical challenges. In particular, available water quality prediction tools are still limited by issues related to: scale effects between laboratory, field, and full-scale data; assessing the effectiveness of laboratory kinetic tests to reproduce the microbial community effects and to evaluate their involvement to the overall geochemistry of mine wastes in ambient and cold temperatures; and the impacts of sorption phenomena on contaminant concentrations. The proposal aims to tackle these issues through a combination of advanced chemical, mineralogical, and microbiological characterizations (including both genomic and culture-dependent techniques), as well as through kinetic tests at the laboratory and field scales. Kinetic testing at the laboratory scale will be performed at room temperature as well as under conditions typical of northern environments, namely sub-zero temperatures and highly saline drainage waters, while the field testing will be performed directly at the mine sites. Results from the various projects will not only improve the actual prediction tools, but also increase fundamental knowledge about scale-up issues from laboratory to field water quality prediction results, as well as the ability of kinetic tests to simulate the microbiological processes occurring in mine wastes and their effects on water quality in both temperate and arctic climates. The results from the proposed research program will improve the accuracy of mine water quality predictions, thus increasing the environmental performance of the mining industry. Furthermore, this program will provide training opportunities for future leaders in mine waste geochemistry through hands-on laboratory and field experience, as well as inter-university collaborations.
Program
Collaborative Research and Development Grants
Location
Quebec, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
538443-2018
Name nom
Plante, Benoît
Department département
Institut de recherche en mines et en environnement (IRME)
Organization id
47
Institution établissement
Université du Québec en Abitibi-Témiscamingue
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2020
Competition year année de concours
2018
Award amount
138795
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
400
Area of application group en
Environment
Area of application group fr
Environnement
Area of application en
Environment
Area of application fr
Environnement
Research subject code
4201
Research subject group en
Geochemistry and geochronology
Research subject group fr
Géochimie et géochronologie
Research subject en
Environmental geochemistry
Research subject fr
Géochimie environnementale
Installment
inst:2 - 2
Partie
1
Nb partie
2
Application title
Improvement of prediction tools for contaminated mine drainage: assessment of scale, geomicrobiology, and sorption issues
Keyword
NSERC
Application summary
Despite numerous advances in the prediction of mine water quality in the last decades, the mining industry is still facing critical challenges. In particular, available water quality prediction tools are still limited by issues related to: scale effects between laboratory, field, and full-scale data; assessing the effectiveness of laboratory kinetic tests to reproduce the microbial community effects and to evaluate their involvement to the overall geochemistry of mine wastes in ambient and cold temperatures; and the impacts of sorption phenomena on contaminant concentrations. The proposal aims to tackle these issues through a combination of advanced chemical, mineralogical, and microbiological characterizations (including both genomic and culture-dependent techniques), as well as through kinetic tests at the laboratory and field scales. Kinetic testing at the laboratory scale will be performed at room temperature as well as under conditions typical of northern environments, namely sub-zero temperatures and highly saline drainage waters, while the field testing will be performed directly at the mine sites. Results from the various projects will not only improve the actual prediction tools, but also increase fundamental knowledge about scale-up issues from laboratory to field water quality prediction results, as well as the ability of kinetic tests to simulate the microbiological processes occurring in mine wastes and their effects on water quality in both temperate and arctic climates. The results from the proposed research program will improve the accuracy of mine water quality predictions, thus increasing the environmental performance of the mining industry. Furthermore, this program will provide training opportunities for future leaders in mine waste geochemistry through hands-on laboratory and field experience, as well as inter-university collaborations.