Reference number : GC-2017-Q4-00317, amendment number : , agreement type : G, recipient legal name : Chang, Wonjae (University of Saskatchewan), recipient country : CA, recipient province : nan, recipient city : Saskatchewan, recipient postal code : nan, program name english : Engage Grants for universities, program name french : Subventions d'engagement partenarial pour les universités, program purpose english : Bioremediation technology for petroleum hydrocarbon-contaminated soils in cold climates has been_x000D_
extensively explored. Numerous ex-situ bioremediation studies have suggested that biostimulation using_x000D_
water-soluble nutrient supplies and/or aeration can enhance the biodegradation activity of indigenous_x000D_
cold-adapted, hydrocarbon-degrading bacteria. This has become a common practice at northern sites. However,_x000D_
the success of ex-situ bioremediation at cold sites largely relies on seasonal soil thermal regimes, particularly in_x000D_
terms of unfrozen water availability in contaminated soils. Understanding soil parameters and their effect on_x000D_
soil phase changes is crucial for planning, designing, and managing the remediation of contaminated soils in_x000D_
cold climates. Spatio-temporal changes in soil temperatures and unfrozen water content during seasonal soil_x000D_
freeze/thaw are predictable using numerical soil modelling tools for uncontaminated soils. However, numerical_x000D_
tools in the literature have not been extensively validated for petroleum-contaminated soils, especially during_x000D_
bioremediation. SoilVision Systems is a leading engineering software developer that provides soil thermal_x000D_
modelling and other modelling software for engineering applications. Dr. Chang's recent numerical simulation_x000D_
study has highlighted the potential to advance soil thermal models for bioremediation in_x000D_
petroleum-contaminated soils. The overarching goal of the proposed research, Integrated Soil Process_x000D_
Modelling to Support the Management and Bioremediation of Petroleum Hydrocarbon-Contaminated Soils in_x000D_
Cold Climates, is therefore to develop new integrated knowledge-based numerical modelling tools to support_x000D_
bioremediation planning and management for petroleum-contaminated soils in cold climates. SoilVision's_x000D_
thermal model will be validated using existing laboratory and field bioremediation data from a cold site, and_x000D_
integrated with microbial respiration modelling specialized for seasonally freezing and thawing contaminated_x000D_
soils during bioremediation. This novel approach will advance the planning, design, and management of_x000D_
remediation for petroleum-contaminated soils in remote cold regions., program purpose french : Bioremediation technology for petroleum hydrocarbon-contaminated soils in cold climates has been_x000D_
extensively explored. Numerous ex-situ bioremediation studies have suggested that biostimulation using_x000D_
water-soluble nutrient supplies and/or aeration can enhance the biodegradation activity of indigenous_x000D_
cold-adapted, hydrocarbon-degrading bacteria. This has become a common practice at northern sites. However,_x000D_
the success of ex-situ bioremediation at cold sites largely relies on seasonal soil thermal regimes, particularly in_x000D_
terms of unfrozen water availability in contaminated soils. Understanding soil parameters and their effect on_x000D_
soil phase changes is crucial for planning, designing, and managing the remediation of contaminated soils in_x000D_
cold climates. Spatio-temporal changes in soil temperatures and unfrozen water content during seasonal soil_x000D_
freeze/thaw are predictable using numerical soil modelling tools for uncontaminated soils. However, numerical_x000D_
tools in the literature have not been extensively validated for petroleum-contaminated soils, especially during_x000D_
bioremediation. SoilVision Systems is a leading engineering software developer that provides soil thermal_x000D_
modelling and other modelling software for engineering applications. Dr. Chang's recent numerical simulation_x000D_
study has highlighted the potential to advance soil thermal models for bioremediation in_x000D_
petroleum-contaminated soils. The overarching goal of the proposed research, Integrated Soil Process_x000D_
Modelling to Support the Management and Bioremediation of Petroleum Hydrocarbon-Contaminated Soils in_x000D_
Cold Climates, is therefore to develop new integrated knowledge-based numerical modelling tools to support_x000D_
bioremediation planning and management for petroleum-contaminated soils in cold climates. SoilVision's_x000D_
thermal model will be validated using existing laboratory and field bioremediation data from a cold site, and_x000D_
integrated with microbial respiration modelling specialized for seasonally freezing and thawing contaminated_x000D_
soils during bioremediation. This novel approach will advance the planning, design, and management of_x000D_
remediation for petroleum-contaminated soils in remote cold regions., agreement title english : Integrated soil process modelling to support the management and bioremediation of petroleum_x000D_
hydrocarbon-contaminated soils in cold climates, agreement title french : Integrated soil process modelling to support the management and bioremediation of petroleum_x000D_
hydrocarbon-contaminated soils in cold climates, agreement number : EGP, agreement value : 25000.0, agreement start date : 2018-02-07, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019)., additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019)., owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada