This project will use customer data, and laboratory and field testing to examine and improve the ability of a carbon dioxide flux chamber to measure gas emissions underneath snow in order to provide monitoring of remote, harsh weather environments. Reliable gas emission measurements during the winter could provide Important infonnatlon about climate change.
Alzheimers disease (AD) is an age-related neurodegenerative disease affecting more than >45 million individuals worldwide with numbers expected to reach >135 million by 2050. The multifactorial nature of AD hinders the development of therapeutic treatments and, as such, several drug candidates have failed in clinical trials. Polyphenolic compounds have the ability to reach the brain and target the multifactorial aspects of AD.
Buildings are responsible for a third of the total carbon emissions worldwide. Net zero building is a type of building that produces as much energy as it consumes, and it has a great potential for energy and carbon reductions. This research aims to study how multiunit residential buildings (MURBs) (e.g. condominiums) in Toronto can become net zero, as well as to create a simple tool in order to quickly assess whether becoming net zero is feasible. The partner organizations are among the leaders in pushing the residential development industry to higher energy performance standards.
Understanding how many animals live in a given area, and how those animals move from one place to another, is centrally important for properly conserving and managing landscapes. This project aims to study grizzly bear populations in the Great Bear Rainforest of British Columbia, BC. It will use DNA data collectively non-invasively from grizzly bears at sampling stations throughout the region.
Large northward-flowing boreal rivers are an important hydroelectric resource, but effects of river regulation on downstream geomorphology and aquatic ecosystems are difficult to predict. Peace River, BC presents an ideal case study of river response to regulation, with continuous monitoring since dam construction in 1967. However, current understanding of system changes is based mainly on periodic ground-based measurements that may be less sensitive to characterize complexity at the scales at which the river responds.
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.
Private car dependence represents a significant problem and a major obstacle towards a more sustainable future. A good combination of different modes of transportation can create an opportunity to overcome this issue. In this sense, integrating car sharing into Transit Oriented Development can be an ideal combination to promote a smart and sustainable development. This research will examine specific aspects of the relationship existing between car sharing and the public transit infrastructure.
The Connections and Engagement Survey Breakdown Project will provide a deeper understanding of relevant community health issues in the Metro Vancouver area by studying various elements associated with civic engagement and citizen participation. Using data collected by the Vancouver Foundation, this project will produce several reports on key issues of neighbourhood and community well-being and engagement and several reports pertaining to the engagement profiles of various cities in the region.
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.
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.