Recent tailings dam failures occurring in past years have highlighted a need for innovative approaches to monitoring these structures. This research proposes to explore advances in the development of a novel type of distributed fiber-optic sensing technology known as Distributed Acoustic Sensing (DAS), and evaluate its performance in monitoring a tailings dam. Ambient noise interferometry […]

As mine pit slope become higher, the implications of accurately predicted slope angles becomes greater for worker safety, environmental impact and economics. Over the past decade, data analysis and computational methods have resulted in significant research developments in this area. Utilizing these some of thee methods requires a high level of field data and large […]

The impoundment of a reservoir can cause erosion that poses risks to public safety and land use around its shoreline. Methods that are currently available to predict shoreline erosion rates and help manage these risks rely on inputs that are challenging to constrain without historical observations, resulting in uncertain predictions that may significantly underestimate or […]

Mine tailings pose significant environmental risks due to their poor mechanical and chemical stability. This project aims to implement a novel nature-based procedure to improve stability of mine tailings using indigenous microorganisms with biocementation properties. Microorganisms capable of surviving in the tailings environment will be discovered that precipitate calcium carbonate. These organisms will be used […]

The project will study the effects of large debris flows in the Cheekye River using simple and low cost physical models, which could be used to study a wide range of problems in geomorphology and river engineering in the future. Here, we will test their performance and write guidelines for their application in BGC’s steep […]