Canada's Oil Sands Innovation Alliance (COSIA)
Check out this (Greenland) video of THREATS (an open-source cumulative effects assessment tool to help direct environmental management (industrial or other)) and/or planning of future projects. It enables the compiling and juxtaposition of public environmental data (including, but not limited to, wildlife use areas and environmental quality data) with on-site or "targeted" environmental data. For security, the provision to include data protected behind a firewall exists to enable analysis and comparison of potentially sensitive data in the context of other datasets. The goal here is to allow for predictive capability and in turn mitigate potential effects. Equally, this provides a capacity to enable retroactive assessment (investigation of cause) of observed changes. The ability to spatially interpret stressor/pathway/receptor data, and conduct analyses within the tool, while retaining data in its original database (secure) is what is truly unique here. Excited to see what can be achieved with this powerful platform in areas where it has already begun to be used!
Neal Tanna
Advisor, Monitoring and Risk Assessment
Canada’s Oil Sands Innovation Alliance (COSIA)
November 3, 2017
Bird Construction Ltd.
Dear Team,
I wanted to extend my heartfelt thanks to each of you for your invaluable contributions to the 29 Birch Street RFP. Your dedication, insights, and collaborative spirit have been instrumental in shaping a comprehensive and compelling proposal. It’s amazing how well this team has come together and worked online, and this RFP document and team will form a repeatable and formidable approach as we see more RFPs hit the province.
On behalf of BIRD, thank you once again for your commitment and exceptional work. I look forward to our continued success together.
Sean Hart
Construction Manager
Bird Construction Ltd.
January 9, 2024
Agriculture and Agri-Food Canada
In March of 2013, Greenland International Consulting Ltd. completed a study for Agriculture and Agri-Food Canada to estimate nutrient loading in small catchment of about 177 square kilometers in the La Salle River watershed in southern Manitoba using the CANWET 4 model. Given uncertainties in some input data and model parameters, the preliminary results using the CANWET 4 model for baseline conditions of stream discharge, nutrient concentrations and loads were satisfactory in our project team as simulated values were within the range of observed values during the validation period.
This study suggests the CANWET 4 modeling approach could be used to predict changes to nutrient loads from changing land use scenarios in watersheds of this region.
Jason Vanrobaeys
Senior Land Resource Specialist
Agriculture and Agri-Food Canada