In this project, a pre-conditioning system to remove the oxygen prior to reaching a bioelectrode system sensor will be developed and tested. Bioelectrode system sensors require anoxic conditions for operation, and a low complexity solution would extend use cases of the technology. Bioelectrode system sensors measures the microbial activity of bacteria and the data can be used to optimize treatment efficiency, detect deleterious substances, and quantify Biological Oxygen Demand.
Glacial Isostatic Adjustment (GIA), also known as Postglacial Rebound, describes how the Earth responds to different loading/unloading processes, through deformation and vertical motion. One important loading/unloading process includes the Wisconsinan Glaciation Episode and the last glacial maximum, approximately 21ka BP. The unloading processes since led to vertical motion centered around James Bay/Hudson Bay, Canada, with uplift rates up to 12 mm per year. The spatial distribution of vertical motion differs which leads to differential vertical motion of the Earth surface.
When waste rocks generated by mining activities are exposed to the air and water, various toxic elements may be released to receiving waters and soils. Arsenic (As) is known as one of the most toxic pollutants which can cause damage to the environment and human health. To implement effective source control, it is essential to identify key factors that control the leaching process. The main objective of this research is to determine the rate-controlling steps in the release of toxic elements, with the initial focus on arsenic release.
The main goal of this research project is to develop an inexpensive multifunctional filtering medium for purifying contaminated drinking water using modified Canadian natural zeolite with different metal elements such as zinc, copper and silver. In this project, a filter material will be developed which has the ability to kill bacteria from drinking water sources. This filter will also be useful for removal of toxic heavy metals from contaminated drinking water.
This project aims to operationalize innovative methods for developing cost effective wetland inventories across Alberta by use of numerous sources of remote sensing data, namely light detection and ranging (LiDAR), synthetic aperture Radar (SAR), and optical imagery.
Stormwater from urban areas has continuously contributed to degradation of stream health in Ontario, despite a number of measures being put in place for new developments. More recently, a Low Impact Development (LID) approach, aimed at controlling the rain runoff at the source, has been promoted and implemented. This project will focus on developing a novel approach for computer modelling of LID and legacy stormwater management practices to better inform the decision making and approval of such practices in new developments.
Considerable advances in geological and rock engineering mapping methods using both conventional and remote sensing techniques have occurred over the last decade. The primary objective of the proposed research is to develop the use Virtual and Mixed Reality (VR/MR), techniques in improving structural geological and rock mass field data acquisition. New uses of MR and Virtual Reality, VR, methods will be explored in combined field and office settings.
Global population growth, urbanization and changing climate patterns have increased the demand for potable water, wastewater reuse and value recovery from wastewater, and treatment of industrial process water. Population growth also results in increased demand for the shipping of goods by ocean freight, with the associated risk of the transport of unwanted marine life from one location to another by the discharge of ballast water.
The proposed research has the objective of applying detailed mineralogical research to aid the multidisciplinary development of high speed sensors for real-time ore sorting applications. MineSense Technologies Ltd. is a mining technology company that develops such sensors and while they have successfully demonstrated the application of its core technologies to distinguish ore from waste material, continuing goals are to increase the number of non-grade parameters that can be detected, and therefore increase the breadth of the application of their technology.
Conserving Canadas biodiversity is important to help mitigate the impacts of future climate change. Protecting multiple areas within a landscape is one possible way to conserve biodiversity, however, we still are not sure what aspects of a landscape are best to protect and for which species. Here, we study mammals within the Beaver Hills Biosphere landscape of central Alberta an area not too large to fully inventory for different species.