Spatial and Temporal Variability of Primary and Secondary Production in the Salish Sea from a Coupled Model (SalishSeaCast with SMELT) – Part 2

We have developed a model that simulates currents, nutrient distributions, and plankton growth in the Salish Sea. This project focuses on continued development of that model and its application to answering scientific questions. These questions include: 1) How much does the timing and amount of plankton growth vary from year to year, and what factors explain increases or decreases? 2) What is the impact of the timing and amount of plankton growth in the Salish Sea on food availability for salmon populations, particularly along migration routes?

Defining and Improving Accuracy, Precision, and Minimum Detection Levels, of Truck-based Gas Leak Surveys

Canada has set a goal to reduce methane emissions in the upstream oil and gas sector by 45%. An updated regulation, proposed to implement on January 1st, 2020, will require triannual leak inspections of upstream infrastructure. Traditional leak inspection methods have a high cost per inspection and require unfeasible man-hours in the field. Alternative LDAR method Emissions Attribution via Computational Techniques (ExACT), is a currently accepted truck-based leak inspection technology that can inspect hundreds of pieces of infrastructure daily, over large areas.

Diversity Measures and Equal Opportunity Practices in the North American Corporate Labour Force and Global Diversity Management Practices

Visier Solutions Inc hopes to create a new standard for the measurement of employee diversity in organizations based on scientific research and measured baselines. With the help of the interns, this study will set a standard for the practical measurement of diversity in organizations as well as best practices in the analysis of metric results. The findings of this study will enrich our understanding of diversity and equal opportunity treatment of diverse groups in the corporate environment.

Automated Target Classification for Multi-Frequency Echosounders

The oceans cover the majority of our planet’s surface but much of their depths are still a mystery. Improvements in technology have allowed for the development of instruments on underwater platforms and autonomous gliders that are able to survey the world’s oceans. One instrument, called an AZFP (acoustic zooplankton fish profiler), emits high-frequency sonar pulses and listens for backscatter (reflections) to observe fish, zooplankton, suspended sediments, and other quantities in the water column. Backscatter data are complex and time consuming to process and interpret.

Social Enterprise, Impact and Sustainability Using the Logic of Business Models

Social enterprise is an approach that applies business tactics to solving a social or environmental challenge. Social entrepreneurship can be found in any organizational setting: non-profit, business, and government. This Research Project is designed to study innovative social enterprises, with the goal of creating a taxonomy of business models in social entrepreneurship. Taxonomic information is useful in creating shared language in emerging field.

Technical Research on Unconventional Resources Development in Canada

Within this project, interns will review the peer-review literature on the four different topics: (1) Liquefied Natural Gas (LNG), (2) Hydraulic Fracturing, (3) Anomalous Induced Seismicity, (4) Surface and Ground Water access, transport, flowback chemistry, conservation, recycling, treatment and disposal after use in hydraulic fracturing operations.
The aim of the project is to perform the qualitative analysis of the listed subjects in order to compile scientific-based, unbiased information that will be used to update the partner website, presented at conferences as well as released to public

Examining the barriers and facilitators to trauma registry sustainability in the Global South

Injury is a leading cause of death and disability world-wide, however rates are especially high for low- and middle-income countries (LMICs). Trauma registries— databases that document information on the injured patient related to the injury event, demographics, process of care, and outcome— are commonly used in high-income countries and have proven extremely effective in reducing rates of death and disability through informing injury prevention and quality improvement programs.

Links between aquatic macrophytes, nutrient concentrations and deep-water oxygen in an Ontario lake

Human activity near lakes can have a profound impact on the state of the lake. When nutrient-rich pollution enters the lake it can cause toxic algal blooms, decreased oxygen levels, a loss of diversity, fish kills and degradation of water quality. Aquatic plants may limit nutrients in run-off from entering the main lake. Aquatic plants along the shoreline take up the nutrients that potentially enter the lake before they get to the open water zone. At Chandos Lake, Ontario, the species of aquatic plants living along the shoreline have changed due to an invasive plant entering the area.

Net Zero Energy Design Trade-offs and Excel Tool for Assessing Net Zero Potential for Multiunit Residential Buildings (MURBs)

Net zero energy building produces as much energy as it consumes, and it has a great potential for energy and carbon reductions. This research will study the design of net zero energy multiunit residential buildings (MURBs), as well as to create a simple Excel tool as an alternative to EnergyPlus for quick assessment. In the previous research, an EnergyPlus model for a real MURB was created and calibrated and strategy for this building to undergo dramatic energy reduction was studied. This project will continue to quantify the trade-offs involved in the design and then create the Excel tool.

Earth Data Store – A one-stop shop for Earth Observation Data and Analytic Applications

UVIC and UBC, in collaboration with industry will be developing the Earth Data Store, to provide unparalleled access to standardized temporal and spatial earth observation data and develop industry-specific applications that will allow end-users to see how a region evolves over time using visual interactive maps and running deep learning algorithms. The Earth Data Store tackles the normalization problems of data, particularly with data generated from multiple sensors, which can consume up to 80% of the effort preparing for analysis.

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