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Effects of Elemental Sulfur on Soil pH and Growth of Saskatoon Berry (Amelanchier alnifolia) and Beaked Hazelnut (Corylus cornuta) Seedlings
Resource
The land disturbed by open-pit oil sands mining must be restored to support the survival and growth of native boreal plants. Because tailings sand and sodic shale overburden are commonly used as an...
Thermal In Situ Oil Sands Reclamation – Successes and Challenges
Event
Event Date and Time
March 13th, 2023 at 11:30am MST to March 13th, 2023 at 1:30pm MST
Calgary, AB
This is a hybrid seminar (in-person and virtual) sponsored by the Alberta Chapter, Canadian Land Reclamation Association. The presenter is Kira Gerow, a reclamation coordinator with Canadian Natural...
Translating the Closure Plan into an Operational Reclamation Programme at Canadian Natural’s Horizon Oil Sands Mine
Resource
Horizon Project reclamation goal is to achieve self-sustaining ecosystems with capability equivalent to predevelopment conditions using locally common boreal forest communities as a guide for reveg
Video - COSIA Design of Experimental Study in Support of Development of a Standard for Fines Measurement in Oil Sands
Resource
Dr. Ron Currie was project lead for a study conducted at NAIT Applied Research Centre for Oil Sands Sustainability (NARCOSS) to help develop a standard for Alberta's oil sands producers to measure...
Video - Flooding of In-line Flocculated Tailings After Thin Lift Drying
Resource
Dr. Aref Najafi is a Technology Development Engineer with Canadian Natural Resources Limited. He described the tailings research at CNRL as they develop an open-pit oil sands mine in NE Alberta. The...
Webinar - Climate Variability and Change in the Southern Boreal Forest of Northern Saskatchewan
Resource
Presented by Dave Sauchyn, Director of the Prairie Adaptation Research Collaborative at the University of Regina and Professor of Geography and Environmental Studies. Since the mid 20th century, mean...
Webinar: Flooding Risk Prediction on Agricultural Lands Using Artificial Intelligence Techniques
Event
Event Date and Time
September 27th, 2023 at 12:00pm MST to September 27th, 2023 at 1:00pm MST
The study will employ the latest artificial intelligence methodologies for data processing and predictive risk modeling approach